Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Journal Title: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Initials: JUISIK Frequency: Maret, Juli dan November Print ISSN: 2827-8135 Online ISSN: 2827-7953 Editor in Chief: Agustinus Budi Santoso, S.ST., M.Cs DOI: 10.55606 Publisher: Lembaga Pengembangan Kinerja Dosen Jurnal ilmiah Sistem Informasi dan Ilmu Komputer p-ISSN: 2827-8135 e-ISSN : 2827-7953 merupakan Jurnal yang diterbitkan oleh Lembaga Pengembangan Kinerja Dosen.Jurnal ini terakreditasi SINTA 5 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 2 Nomor 2 Tahun 2022 sampai Volume 7 Nomor 1 Tahun 2027. Jurnal ini adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai bidang Ilmu Sistem Informasi dan Ilmu Komputer. Jurnal ini terbit 3 kali dalam setahun yaitu pada bulan Maret, Juli dan November. Indexed by: Journal Sponsors and Partners :
Analisis Persepsi Mahasiswa terhadap Risiko Keamanan Portal New Student UIGM Menggunakan Pendekatan ISO/IEC 25010
Digital transformation in higher education encourages the use of web-based information systems to support academic services, including the new student admission process. The UIGM New Student Portal is used for registration, document uploading, and information delivery to prospective students. Because the portal processes personal data and important documents, the system has the potential to face security risks such as unauthorized access, data leaks, information manipulation, and account misuse. This study aims to analyze students' perceptions of the security risks of the UIGM New Student Portal using the ISO/IEC 25010 approach, specifically security characteristics. The research method uses a descriptive-associative quantitative approach with a Likert scale questionnaire to 58 student portal users. The research variables consist of System Security (X1), System Monitoring/Audit (X2), and User Perception/Trust (Y). Data analysis was carried out through validity tests, reliability tests, descriptive analysis, correlation tests, multiple linear regression tests, F tests, t tests, and coefficients of determination. The results showed that all items were valid and reliable; all variables were in the good category; The R Square value of 0.717 indicates that X1 and X2 explain 71.7% of the variation in Y. Partially, System Security has a positive and significant effect, while System Monitoring/Auditing has a positive but not yet significant effect. Simultaneously, both variables significantly influence User Perception/Trust.
Copyright (c) 2026 Jurnal ilmiah Sistem Informasi dan Ilmu Komputer https://creativecommons.org/licenses/by-sa/4.0
Pengembangan Model Hibrida CRNN dan Tesseract OCR untuk Peningkatan Akurasi Ekstraksi Teks dari Citra Dokumen
Text extraction from document images, especially transaction receipts, remains challenging because receipt images often contain small characters, dense layouts, blur, noise, skew, shadows, and irregular illumination. This study develops a Tri-Expert hybrid OCR model that combines CRNN(H=64), MSF-CRNN(H=64), and Tesseract OCR to improve word-level recognition accuracy on receipt images. The proposed system uses calibrated confidence-based selection with temperature scaling, a CRNN(H=48) rule-based arbiter for conflicting predictions, and a numeric-aware Tesseract fallback for low-confidence numeric tokens. Experiments were conducted on word crops from the CORD dataset and evaluated using Exact Match (EM), Word Error Rate (WER), Character Error Rate (CER), and Character F1-score. On the validation set (N=2,186), the hybrid method achieved EM 91.49%, CER 2.37%, and Char-F1 97.96%. On the test set (N=2,356), it achieved EM 89.52%, CER 3.13%, and Char-F1 97.25%, outperforming both CRNN(H=64) and Tesseract. The results indicate that the proposed hybrid design improves OCR reliability, particularly for numeric and short tokens, while remaining modular and practical for web-based deployment.
Copyright (c) 2023 Jurnal ilmiah Sistem Informasi dan Ilmu Komputer https://creativecommons.org/licenses/by-sa/4.0
Analisis Kinerja Dual-Core ESP32 dalam Eksekusi Algoritma Bubble Sort, Selection Sort, dan Insertion Sort untuk Mengukur Kecepatan Komputasi pada Setiap Core
This study aims to analyze the computational performance of the dual-core ESP32-WROOM-32 in executing three simple sorting algorithms: Bubble Sort, Selection Sort, and Insertion Sort. Testing was conducted by assigning tasks to Core 0 and Core 1 using the FreeRTOS mechanism and measuring execution time using the micros() function in the Arduino-ESP32 environment. The test dataset consisted of a 10,000-element array with random values in the range of 1 to 100. The test results show that Core 0 achieved a shorter average execution time compared to Core 1 for all algorithms. The average execution time for Core 0 was in the range of 7305.90–7307.08 µs, while Core 1 was in the range of 14328.70–14330.23 µs. The average execution time difference between the two cores ranged from 7021.62 to 7024.26 µs. However, this difference must be interpreted while considering the scheduling characteristics of FreeRTOS, the use of core affinity, interrupts, and the overhead of the timing measurement function. The results of this study provide an initial insight into the computational behavior of the ESP32 during the execution of C++-based sorting algorithms and can serve as a basis for optimizing task distribution in embedded system applications.
Pemetaan Pola Risiko Obesitas Berdasarkan Indeks Massa Tubuh dan Aktivitas Fisik Menggunakan Jaringan Kohonen (Self-Organizing Map)
The increasing number of non-communicable diseases, such as diabetes mellitus and hypertension at the primary healthcare level, is closely linked to the rising trend of obesity. Thus far, the utilization of health data—including height, weight, and physical activity—at community health centers (Puskesmas) has been limited to individual record-keeping and has not been collectively analyzed to map high-risk populations. This study aims to implement the Kohonen Network or Self-Organizing Map (SOM) algorithm to objectively map obesity risk patterns through unsupervised learning without predefined class labels. The research dataset was obtained from the Pematang Pasir Community Health Center in Tanjungbalai, North Sumatra, comprising 200 individual medical records with attributes including Age, Body Mass Index (BMI), Frequency of Physical Activity (FAF), and Number of Meals Consumption (NCP). The dataset was normalized using the Z-Score method prior to being trained using the Python-based SOM algorithm. The results successfully grouped the community's obesity risk patterns into three final clusters: High-Risk Cluster, Medium-Risk Cluster, and Low-Risk Cluster. This visual mapping can be utilized by the health center authorities to design more targeted preventive health programs at the community level.
Analisis Siswa Bermasalah Menggunakan Algoritma K Means
Problematic student identification in schools often relies on manual observation, fragmented counseling records, and subjective judgment, making early intervention less consistent. This study aims to analyze student problem patterns using the K-Means clustering algorithm so that schools can classify students into interpretable risk groups and design more targeted guidance services. The research used a quantitative data mining approach with an illustrative anonymized dataset consisting of 180 student records. Six attributes were modeled, namely unexplained absence, tardiness, disciplinary violations, average academic score, counseling record frequency, and task completion rate. The analytical process followed the CRISP-DM stages, including problem understanding, data preparation, normalization, determination of cluster number using elbow and silhouette evaluation, K-Means modeling, and interpretation of cluster profiles. The optimal structure was obtained at three clusters with a silhouette score of 0.58. The clusters were interpreted as low-risk monitoring students, medium-risk students requiring periodic assistance, and high-risk students requiring priority intervention. The high-risk cluster represented 18.9% of records and was characterized by higher absence, higher tardiness, more disciplinary violations, lower average scores, more counseling notes, and lower task completion. The findings indicate that K-Means can support school counseling by transforming administrative data into practical decision categories. The model should be validated with actual school data before operational use, but it provides a systematic framework for evidence-based student support.
Rancang Bangun Sistem Informasi Pemesanan Jasa Foto Berbasis Web menggunakan Metode Waterfall
Service management in photography businesses requires a system capable of supporting booking activities and data processing in a more organized manner. Sharana Studio Photography still relies on Instagram and WhatsApp for service bookings, while customer data and scheduling records are managed using Google Sheets. This condition makes data management less effective and increases the risk of recording errors and schedule conflicts. This study was conducted to develop a web-based photography booking information system that can improve service efficiency at Sharana Studio Photography. The system development process applied the Waterfall method, consisting of requirement analysis, system design, implementation, and testing stages. The application was developed using the CodeIgniter framework, MySQL database, and integrated online payment features through Midtrans. Data collection techniques included observation, interviews, and literature studies to ensure the system matched the studio’s operational requirements. Based on Black Box Testing results, all application features functioned properly according to user requirements. In addition, user evaluation results showed a satisfaction score of 92.16%, categorized as very good. The developed system is expected to improve service management efficiency and simplify the online booking process for customers.
Mitigasi Bottleneck Tingkat Koneksi pada Kubernetes HPA menggunakan Metrik RPS untuk Layanan Nginx Reverse Proxy
Default CPU metrics in the Kubernetes Horizontal Pod Autoscaler (HPA) often fail to detect connection bottlenecks in I/O-bound workloads, such as Nginx reverse proxies, causing service failures despite low CPU utilization. This study aims to evaluate and compare the effectiveness of CPU-based HPA against custom Requests Per Second (RPS) metrics in mitigating connection-level bottlenecks. An experimental approach was conducted using a two-tier architecture (Nginx and a backend with a 500ms delay) under ramp-up and sustained high-load traffic scenarios. The results demonstrated that the CPU-based HPA stagnant with low CPU usage, producing HTTP 5xx error rates up to 57.4% during ramp-up and stagnating at 36% under sustained load due to its inability to detect operating system-level network queues. Conversely, the RPS-based HPA proactively mitigated these bottlenecks by executing timely scaling, suppressing error rates below 10% during ramp-up and significantly restoring service stability. These findings imply that utilizing RPS metrics successfully decouples autoscaling triggers from hardware resource saturation levels, making it a highly reliable metric for maintaining high availability in connection-limited microservice architecture.
Pengaruh Kualitas Sistem dan Kualitas Informasi EMIS terhadap Kepuasan Pengguna
This study explores the relationship between system quality and information quality and EMIS user satisfaction in seven anonymized schools in the eastern region of Kecamatan X. An exploratory quantitative survey was conducted from 11 to 16 April 2026 by gathering data through a five-level Likert scale questionnaire administered to seven purposively selected EMIS users. Instrument validity was examined through Pearson correlation, whereas reliability was measured with Cronbach’s alpha, and then analyzed using multiple linear regression. The results demonstrate that system quality demonstrates a positive effect on user satisfaction at the threshold of statistical significance, whereas information quality shows no significant effect within the model. The model accounts for a large portion of the variation in user satisfaction, although the combined effect of both predictors is not significant at the 5% level. These findings indicate that technical enhancements, particularly in accessibility, reliability, response time, and feature performance, should be prioritized over improvements to information output alone. This study offers preliminary evidence for school-level EMIS evaluation and provides practical recommendations for system development
Penerapan Algoritma K-Means Clustering dalam Pengelompokan Kabupaten dan Kota di Provinsi Lampung Berdasarkan Pemanfaatan Internet
This study aims to classify regencies/cities in Lampung Province based on internet utilization using the K-Means Clustering algorithm. The increasing use of the internet in various regions has created the need for regional grouping to identify the characteristics of internet utilization in each area. The data used in this study were secondary data obtained from the Central Bureau of Statistics (BPS) in 2022 with four variables, namely internet usage for social media, information access, learning media, and work activities. Data processing was carried out using RapidMiner software with three clusters. The results showed that the regencies/cities in Lampung Province were divided into three clusters with different characteristics of internet utilization. The first cluster indicated a high level of internet utilization, the second cluster represented a moderate level, while the third cluster showed internet utilization that was relatively uneven. The clustering results are expected to support evaluation and development efforts related to internet utilization in Lampung Province.
Analisis Kesuksesan E-Learning Berdasarkan Kualitas Sistem dan Kepuasan Mahasiswa menggunakan Model DeLone & McLean
E-learning is now a key academic facility in computer-related faculties because it enables flexible access to course materials, supports independent study, and facilitates digital interaction in learning activities. Its success, however, should not be viewed only from the existence of the platform. Evaluation also needs to consider system quality, information quality, service quality, user satisfaction, and the net benefits perceived by students. This research examines the success of an e-learning system using the DeLone & McLean Information System Success Model. The study employed a descriptive quantitative case-study design involving 22 active students who had experience using the platform. Data were obtained through Likert-scale questionnaires and open-ended questions about user constraints and improvement suggestions. The results show that students are generally able to operate e-learning independently. Nevertheless, the weakest aspects were server reliability and the regularity of lecturer-uploaded course materials. These findings indicate an imbalance between students' digital readiness and institutional support in providing stable technology and complete learning content. Therefore, improvements in server capacity, material availability, and user assistance are needed to increase the effectiveness of e-learning implementation.
Penerapan Metode K-Means Clustering dalam Pengelompokkan Tingkat Pengangguran di Provinsi Lampung
Unemployment is one of the main problems in economic development in Indonesia. One of the indicators used to measure the economic condition of a region is the Open Unemployment Rate. The purpose of this study is to provide information regarding a more detailed grouping of the number of unemployment rates in each district/city in Lampung Province, through the application of the K-Means clustering algorithm method. The data used in the study were taken from the official website of the Central Statistics Agency (BPS) of Lampung Province in 2025, which includes data on the Open Unemployment Rate (TPT) and the Poverty Rate. The application of K-Means clustering was used to break down the data into groups. The research method includes four steps: data collection, data preparation, modeling, and evaluation (using the Davies Bouldin Index theory), using the RapidMiner application as a support to facilitate data mining processing. The results of this study are to provide information about the unemployment rate groups in Lampung Province into 3 groups, namely low unemployment rate, medium unemployment rate, and high unemployment rate, which will divide all districts in Lampung Province.
Analisis Pengelompokan Indeks Pemberdayaan Gender dan Ketimpangan Gender di Provinsi Lampung menggunakan Algoritma K-Means
Gender issues are one of the important aspects in sustainable development, especially in achieving gender equality in various sectors of life. This study aims to analyze the grouping of Gender Empowerment Index (IDG) and Gender Inequality Index (IKG) data in districts/cities of Lampung Province using the K-Means algorithm. The method used in this study is quantitative descriptive with a data mining approach through clustering techniques. The data used are secondary data obtained from the Central Statistics Agency (BPS) of Lampung Province in 2024, consisting of IDG and IKG data from 15 districts/cities. Data processing was carried out using the RapidMiner application through stages of import data, preprocessing, normalization, and clustering using the K-Means algorithm. The results showed that the data were successfully grouped into three clusters consisting of Cluster 0 with 5 districts/cities, Cluster 1 with 4 districts/cities, and Cluster 2 with 6 districts/cities. Each cluster has different characteristics based on the level of gender empowerment and gender inequality in each region. The clustering results can provide an overview of gender conditions in Lampung Province and can be used as supporting information for policy-making related to gender equality and women’s empowerment.
Penerapan Algoritma K-Means dalam Pengelompokan Keluarga Penerima Manfaat di Provinsi Lampung
The distribution of social food assistance to Beneficiary Families (KPM) requires proper data management to ensure that assistance is delivered accurately and equitably. However, several challenges remain, including data inaccuracies and less effective data grouping processes. Based on these conditions, this study was conducted to cluster data on the number of beneficiary families and the allocation of social food assistance budgets across districts and cities in Lampung Province using the K-Means algorithm implemented through RapidMiner. The study utilized secondary data obtained from official publications of the Central Statistics Agency (BPS), covering 15 districts/cities with variables consisting of the number of beneficiaries and the amount of social assistance budgets allocated in each region. The results indicate that the data were grouped into three clusters with a satisfactory level of clustering quality. Three clusters were selected because they provide results that are easier to interpret. The clustering results reveal variations in the number of beneficiaries and the allocation of social assistance budgets across districts and cities, enabling a clearer analysis of regional characteristics and patterns of social assistance distribution.
Analisis Pemanfaatan Fasilitas Perpustakaan Xyz Oleh Mahasiswa Menggunakan Metode Ipa
The library is one of the essential facilities in higher education institutions that supports teaching and learning activities, research, and the development of knowledge for the academic community. The availability of a well-equipped library is expected to enhance the quality of student learning by providing comprehensive and easily accessible information resources. However, in reality, the level of utilization of library facilities by students is still not optimal, both in terms of visits and the use of available services.This study aims to evaluate the utilization of facilities at XYZ Library based on students' perceptions as the primary users of the services. The method used in this research is Importance Performance Analysis (IPA), involving 60 student respondents selected randomly. This method is applied to identify the level of importance and performance of each facility provided by the library.The results of the analysis indicate that several facilities, such as the completeness of book collections, availability of Wi-Fi, discussion rooms, and e-book collections, fall into Quadrant I. This means that these facilities are considered highly important but have low performance, making them the top priority for improvement. Meanwhile, facilities such as reading rooms, book borrowing and return services, and cleanliness are categorized in Quadrant II, indicating that their performance is already satisfactory and should be maintained. Therefore, library management is expected to improve service quality, especially in priority areas, in order to enhance student satisfaction and increase the utilization of library facilities.
Pengembangan Sistem Informasi Akademik Berbasis Android dengan Notifikasi Real-Time Menggunakan Metode RAD untuk Meningkatkan Transparansi Akademik di SMK Islam Tenjonagara
The rapid development of information technology has encouraged educational institutions to implement academic information systems capable of providing fast, accurate, and integrated services. However, based on observations conducted at SMK Islam Tenjonagara, academic information management and dissemination processes were still carried out semi-manually, resulting in delays in delivering information to students and parents. This study aims to develop an Android-based Academic Information System with real-time notifications to improve academic transparency and enhance communication between the school and parents. The system was developed using the Rapid Application Development (RAD) method, which consists of four stages: Requirements Planning, User Design, Construction, and Cutover. Research data were collected through observation, interviews, and documentation. The developed system provides features for managing student data, teacher data, classes, schedules, attendance, grades, assignments, and real-time notifications using Firebase Cloud Messaging (FCM). System testing was conducted using the Black Box Testing method on 25 test scenarios. The results showed that all system features functioned according to user requirements with a 100% success rate. The implementation of real-time notifications enables academic information to be delivered instantly to students and parents without requiring them to repeatedly check the application. Therefore, the developed system successfully improves academic transparency, accelerates information dissemination, and supports parental involvement in monitoring students' academic progress at SMK Islam Tenjonagara.
Analisis Kinerja Sistem Informasi Aplikasi Identitas Kependudukan Digital (IKD) Menggunakan Metode Key Performance Indicator (KPI) pada Dinas Kependudukan dan Pencatatan Sipil Kota Samarinda
Digital transformation in public services encourages the implementation of the Digital Population Identity (IKD) application as an innovation in population data management. This study aims to analyze the performance of the IKD information system at the Department of Population and Civil Registration of Samarinda City using the Key Performance Indicator (KPI) method. The research uses a descriptive quantitative approach with data collected through questionnaires distributed to 103 respondents. The analyzed variables include ease of use, system reliability, information quality, security, and user satisfaction measured using a Likert scale of 1–5. The results show an overall KPI score of 3.96, categorized as good. User satisfaction obtained the highest score of 4.03, while system reliability had the lowest score of 3.89. These findings indicate that the IKD application performs well but requires improvements in technical system aspects. The study concludes that KPI is an effective method for evaluating information system performance and can serve as a basis for improving digital public services.
Perbandingan Kinerja Model XGBoost dan IndoBERT untuk Deteksi Teks Hoax Terselubung Berbahasa Indonesia
The rapid advancement of Generative AI driven by Large Language Models (LLMs) has raised significant concerns regarding the integrity of digital information. Although text detection systems are evolving rapidly, the majority of current instruments predominantly support English, thereby leaving a substantial research gap in low-resource languages such as Indonesian. This study aims to conduct a comparative performance analysis between XGBoost and IndoBERT for detecting Indonesian text generated by Generative AI. Experiments were executed using a structured, hand-crafted dataset spanning three main domains: Science and Technology, Social and Culture, and Politics. The XGBoost model was evaluated utilizing Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction, whereas IndoBERT relied on bidirectional contextual semantic understanding. The evaluation results on the controlled dataset demonstrated that both architectures achieved perfect accuracy (100%). However, under a stress test employing adversarial trap sentences designed with keyword stuffing techniques, the performance of the two models exhibited a sharp contrast. The global accuracy of XGBoost plummeted drastically to 50.00% because the TF-IDF representation failed to recognize the core logical essence of the sentences and was easily misled by the dominance of individual statistical keywords. Conversely, IndoBERT proved to be more robust by maintaining a global accuracy of 66.67% and recording maximum Precision, Recall, and F1-Score (1.000000) within the Social and Culture class. This demonstrates the capability of the Self-Attention Mechanism in capturing latent context and complex linguistic structures. The implications of these findings emphasize that in countering advanced text manipulation (covert hoaxes), the deployment of context-based models like IndoBERT is far more reliable. Nevertheless, architectural selection must remain dynamically aligned with local computing infrastructure capacity.
Pemanfaatan Sistem Informasi Desa (SID) terhadap Peningkatan Pelayanan Publik di Desa Penyampak dan Desa Tebing
This study aims to analyze the utilization of the Village Information System (SID) in improving public services in Penyampak Village and Tebing Village. The research employs a qualitative approach with a descriptive method. Data were collected through in-depth interviews, observations, and documentation involving village officials and community members. Data analysis was conducted using the interactive model of Miles and Huberman, including data reduction, data display, and conclusion drawing. The results indicate that the utilization of SID has a positive impact on improving public services, particularly in terms of service speed, administrative efficiency, and structured data management. Penyampak Village demonstrates a more optimal level of utilization compared to Tebing Village. However, the implementation of SID has not been fully optimized due to several constraints, such as limited human resources, inadequate technological infrastructure, and low digital literacy among the community. This study concludes that the utilization of SID has the potential to enhance the quality of public services at the village level, although its success is highly dependent on the readiness of village officials, infrastructure support, and community participation.
Perancangan Pemesanan Kapal Pariwisata Labuan Bajo Berbasis Website dengan Menggunakan Metode Waterfall
The development of information technology has had a significant positive impact on the tourism sector, including tour boat booking services in Labuan Bajo. Many operators still rely on manual booking processes, resulting in inefficient services, data recording errors, scheduling conflicts, and delays in providing information to customers. This research aims to design and develop a website-based tour boat booking system that enables tourists to make reservations quickly, conveniently, and securely while helping managers manage booking data, monitor transactions, and generate reports efficiently. The research applies the Waterfall software development method, consisting of requirements analysis, system design, implementation, testing, and evaluation to ensure functionality and reliability. The proposed system provides features such as tour boat information, departure schedules, online reservations, payment confirmation, booking history, customer data management, and administrator access control. The research results are expected to improve service effectiveness, reduce administrative errors, enhance customer satisfaction, simplify the online booking process, and support better decision-making for business operations. Furthermore, the system is expected to increase accessibility, strengthen information accuracy, improve operational efficiency, support sustainable tourism development, and provide greater benefits overall.
Muhammad Syahniar Sutra Supriyadi Syahniar
Marc Aurel Asthagina Vidyaksha Mahendra Marc
Perancangan dan Pembuatan Aplikasi Sistem Kontrol Absensi Mahasiswa Politeknik Negeri Kupang
The development of a web-based student attendance information system aims to overcome various obstacles inherent in manual systems, such as recording delays, recapitulation errors, and limited data access. This application utilizes web technology to allow online access through a browser, providing convenience for students, lecturers, and administrators to process attendance accurately and efficiently. This system provides main features in the form of attendance recording, lecture scheduling, attendance summary data per course, verification status by lecturers, administrators, and heads of study programs, and class completion by students. All attendance data is stored in real-time, so that it can be accessed directly by related parties to support academic transparency and accountability. This research aims to design and build a web-based student attendance information system application using the Waterfall approach. The research stages include needs analysis, system design, coding, testing, and maintenance. The results of the development show that this system is able to increase the effectiveness of attendance data management, speed up the administrative process, and support more structured academic supervision. Thus, this web-based information system can be an innovative solution in improving the quality of student attendance management in universities.
Perancangan Website Analisis Segmentasi Perilaku dan Minat Berlangganan Spotify Premium menggunakan Metode K-Medoids dan Regresi Polinomial
This study aims to analyze customer behavior segmentation and subscription interest in Spotify Premium using a data mining approach. The problem addressed is the limited understanding of user behavior influencing subscription decisions, resulting in less optimal strategies for increasing premium subscribers. The methods used include the K-Medoids algorithm for customer clustering and polynomial regression to analyze relationships between behavioral variables. The dataset used is the Spotify User Behaviour Dataset, which contains various user behavior attributes. The research stages include data pre-processing, determining the optimal number of clusters using the Elbow method, clustering, and regression analysis. The results show that the optimal number of clusters is k=9, allowing customers to be grouped into nine segments based on similar behavior patterns, with a Silhouette Score of 0.1659 indicating weak to moderate cluster quality. Furthermore, the polynomial regression results show a Mean Squared Error (MSE) value of 1.0694 and a coefficient of determination (R2) of -0.1109, indicating that the model has not optimally explained the data variability. However, factors such as usage intensity and content preferences still influence user’s interest in subscribing. This study provides insights into customer characteristics and support more targeted strategies to increase premium subscriptions.
Sistem Informasi Database Aset Secara Realtime di Dinas Pekerjaan Umum Provinsi Sulawesi Selatan
Manual asset management at the Public Works Office of South Sulawesi Province is still considered inefficient and vulnerable to input errors, data duplication, incomplete records, and delays in information access. These conditions often hinder staff in carrying out asset administration, monitoring asset conditions, and preparing reports accurately and on time. This study aims to design and develop a web-based asset database information system that can support more effective, efficient, and structured asset management. The system was developed using the waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance. The programming process was carried out using PHP and MySQL as the database, while system functionality was tested through black box testing to ensure that every feature worked according to user requirements. In addition, usability evaluation was conducted using the System Usability Scale (SUS) to measure user comfort and system acceptance. The results show that the system was successfully implemented and all key functions, including data input, editing, deletion, search, and reporting, ran properly. The system also supports real-time asset data processing, making information easier to access and manage. The SUS results reached a score of 85, which is categorized as excellent. Therefore, the proposed system is feasible and effective for improving asset management in government institutions.
Analisis Tingkat Kepuasan Masyarakat terhadap Sentra Pelayanan Kepolisian Terpadu (SPKT) dengan metode Customer Satisfaction Index (CSI) pada Polsek Palmerah
Rapid technological advancements are driving improvements in the quality of public services, including in the police service sector. The Integrated Police Service Center (SPKT), as the frontline of service delivery, play a crucial role in providing fast, accurate, and transparent services to the public. This study aims to analyze the level of public satisfaction with SPKT services at the Palmerah Police Station in West Jakarta by apply the Customer Satisfaction Index (CSI) methods. The research methods applied include observation, interviews, and the distribution of questionnaires to 50 respondents who have used SPKT services. The data obtained was then tested for validity and reliability to ensure the quality of the research instruments. The test results indicated that all questionnaire items were valid, with a calculated r value greater than the table r value (0.279), and reliable, with a Cronbach’s Alpha value of 0.914 for the expectation variable and 0.929 for the satisfaction variable. Based on the results of the CSI method calculation, a value of 48.50% was obtained, which falls into the “dissatisfied” category. This result indicates that the services provided by the Palmerah Police Station’s SPKT have not yet optimally met public expectations. Therefore, efforts are needed to improve service quality through the development of human resource competencies, the improvement of service facilities, and the utilization of technology to enhance the effectiveness and efficiency of services provided to the public.
Peran Strategis DPRD dalam Peningkatan Pelayanan Publik Melalui Pengembangan Sistem Informasi Manajemen di Kabupaten Bangka Barat
This study aims to analyze the strategic role of the Regional House of Representatives (DPRD) in improving public services through the development of a Management Information System in West Bangka Regency. Digital transformation in government administration has become an important requirement to achieve effective, transparent, and accountable public services. In this context, the DPRD holds legislative, budgeting, and oversight functions that normatively play an important role in supporting the implementation of Electronic-Based Government Systems (SPBE).This study employs a qualitative approach with a case study design. Data were collected through in-depth interviews, observation, and documentation, while data analysis was conducted using the interactive model of Miles, Huberman, and Saldaña. The results indicate that the role of the DPRD of West Bangka Regency in the development of management information systems remains largely administrative and has not yet become fully strategic. The legislative function has not produced specific regulations related to a regional digital transformation roadmap. The budgeting function is still oriented toward annual allocations and has not been directed as a long-term investment. Meanwhile, the oversight function tends to focus more on administrative compliance rather than evaluating performance and the impact of information systems on public service quality.The study concludes that strengthening institutional capacity and improving the digital literacy of the DPRD are necessary to enable it to play a more transformational role in supporting digital governance in West Bangka Regency
Transformasi Digital dalam Manajemen Kepegawaian Daerah Studi pada Pemerintah Kabupaten Bangka Barat
This study aims to develop a web-based Management Information System for the Bina Eksel Mandiri Course and Training Institute to improve administrative efficiency, data management, and the quality of educational services. The research employed a Research and Development (R&D) approach with a descriptive qualitative method. Data were collected through observations, interviews, documentation, and literature studies to identify user needs and existing administrative challenges. The system was developed using the Waterfall software development model, which includes the stages of requirements analysis, system design, implementation, testing, and deployment. The resulting web-based system integrates various administrative functions, including participant registration, instructor management, training schedules, attendance records, and activity reporting, into a centralized platform that is accessible and easy to use. System functionality was evaluated using the Black Box Testing method, and the results demonstrated that all features operated effectively in accordance with user requirements and system specifications. The implementation of the system significantly improved the efficiency of administrative processes by reducing manual data processing, minimizing errors, and accelerating information retrieval and report generation. In addition, the system enhanced service quality by providing more accurate, organized, and timely information for administrators, instructors, and training participants. Therefore, the developed management information system can serve as an effective solution for supporting digital transformation and improving operational performance in course and training institutions.
Analisis Perbandingan Metode Gauss-Seidel dan Jacobi dalam Menyelesaikan Sistem Persamaan Linear Berdasarkan Jumlah Iterasi dan Waktu Komputasi
Linear equation systems are one of the fundamental problems in computational mathematics with wide applications across various scientific fields. Numerical solution of linear equation systems using iterative methods is the primary choice when the system dimension increases. This study aims to compare the performance of the Gauss-Seidel and Jacobi methods in solving linear equation systems of order 3×3, 4×4, and 5×5 based on the number of iterations, convergence rate, computation time, and result accuracy. This is a comparative quantitative study using realistic simulation data. Results show that the Gauss-Seidel method consistently outperforms the Jacobi method in terms of iterations to convergence, with an average reduction of 44.7% for 3×3 systems, 42.1% for 4×4 systems, and 40.5% for 5×5 systems. In terms of computation time, Gauss-Seidel is also more efficient with an average of 38.6% faster. The accuracy of both methods is equivalent when both achieve convergence with error tolerance ε = 10⁻⁶. This study concludes that the Gauss-Seidel method is more recommended for iterative-based solutions of linear equation systems compared to the Jacobi method, particularly when computational efficiency is a priority.
Perancangan Sistem Informasi Pembuatan Berkas Pengajuan Data Terpadu pada Kesejahteraan Sosial Kecamatan Seberang Ulu Dua
Public service activities in the Social Welfare Section of Seberang Ulu Dua District are still largely conducted manually, particularly in managing Data Terpadu Kesejahteraan Sosial (DTKS), Certificate of Inheritance, Certificate of Indigency (SKTM), and social assistance applications. This condition causes several problems, including data redundancy, human errors in data entry, difficulties in document retrieval, and inefficient administrative processes. This study aims to design a web-based information system to support the management and generation of social welfare administration documents. The system was developed using the Waterfall Software Development Life Cycle (SDLC) method, which consists of requirements analysis, system design, implementation, testing, and maintenance stages. The application was built using PHP as the programming language and MySQL as the database management system. The proposed system provides centralized citizen data management, automated document generation, application verification, digital archiving, and report generation features. The implementation results indicate that the system can improve administrative efficiency, reduce data entry errors, accelerate document retrieval, and support more accurate and structured public service delivery. The system is expected to contribute to the digital transformation of administrative services in local government institutions.
Implementasi Sistem Presensi Jemaat GSJK Berbasis RFID dengan Notifikasi Telegram
The manual attendance recording in church congregations often causes inefficiency, long queues, and high risk of data loss or human error. This study aims to design and implement an automated attendance system based on Radio Frequency Identification (RFID) integrated with real-time Telegram notifications for the GSJK Tlogosari Congregation in Semarang. The Research and Development (R&D) method was used, involving hardware design using an ESP32 microcontroller, RC522 RFID module, LCD, LEDs, and buzzer, as well as software development using the Arduino IDE and Telegram Bot API. Black Box testing was conducted to verify the functional aspects, reading distance, and notification delivery speed. The results indicate that the system operates successfully with high accuracy. The "tap-and-go" mechanism effectively reduces the attendance process time to 2–3 seconds per member, significantly faster than the previous manual method. The Telegram Bot API successfully sends real-time attendance notifications to the church administrators, while the local feedback indicators (LED, Buzzer, LCD) provide clear validation for the congregation. The system is highly dependent on Wi-Fi stability; however, it has proven to be an effective solution for modernizing church administrative services based on Internet of Things (IoT) technology.
Analisis Perbandingan Metode Biseksi dan Metode Newton-Raphson dalam Menentukan Akar Persamaan Non Linear
This study aims to compare two numerical methods for finding roots of nonlinear equations, namely the Bisection Method and the Newton-Raphson Method, with a case study on the function f(x) = x³ − 2x − 5 = 0. This is a comparative quantitative study focusing on four main parameters: number of iterations, error rate, root accuracy, and convergence speed. The Bisection Method is implemented with an initial interval [2, 3] based on the Intermediate Value Theorem, while the Newton-Raphson Method uses an initial point x₀ = 2.5 utilizing the derivative f'(x) = 3x² − 2. Results show that the Newton-Raphson Method achieves convergence in 4 iterations with a root value of x ≈ 2.094551 and a final error less than 10⁻⁶, while the Bisection Method requires 13 iterations with a root value of x ≈ 2.094604 at tolerance ε = 10⁻⁴. The Newton-Raphson Method exhibits quadratic convergence (p = 2), which is significantly faster than the linear convergence of the Bisection Method (p = 1). Nevertheless, the Bisection Method maintains advantages in stability and simplicity as it does not require function derivatives. The conclusion is that the Newton-Raphson Method is more computationally efficient for polynomial functions with easily computable derivatives, while the Bisection Method is recommended when functions are difficult to differentiate or when stability is the priority.
Perancangan Sistem Informasi Perpustakaan Sekolah Menggunakan Model Waterfall
Advancements in information technology are driving digital transformation across various sectors, including education. School libraries are among the educational services that require the implementation of information technology. The library at SMKN 13 Jakarta is currently managed manually—covering everything from book and member data recording to loan and return transactions—leading to issues such as service delays, data entry errors, difficulties in information retrieval, and low administrative efficiency. This study aims to design and develop a web-based school library information system to enhance the effectiveness and efficiency of library services. The Waterfall software development method was employed, comprising requirements analysis, system design, implementation, testing, and maintenance. The system utilizes a relational database and is implemented using web technologies, enabling access via a web browser. Experimental results demonstrate that all features function optimally, successfully reducing the time required to locate a book from 15 minutes to less than 2 minutes. Overall, the system has proven to have a strategic impact on improving library service effectiveness, reducing the duration of book-borrowing queues (time efficiency) by 80% to 90%. In terms of speed, the current system processes tasks 5 to 10 times faster than the previous method, while simultaneously improving information access for the academic community.
Penerapan Algoritma K-Means untuk Pengelompokan Tingkat Kemiskinan Kabupaten dan Kota di Provinsi Lampung
Disparities in welfare levels across regions remain a significant challenge in poverty alleviation efforts in Lampung Province. This study aims to identify poverty patterns among regencies and municipalities in Lampung Province through a Clustering approach using the K-Means algorithm. The analysis utilizes secondary data obtained from Statistics Indonesia (BPS) of Lampung Province in 2025, covering 15 regencies and municipalities with three variables: poverty rate, Human Development Index (HDI), and per capita expenditure. The research process consisted of data selection, preprocessing, Z-Transformation normalization, and Clustering using the K-Means algorithm implemented in Altair AI Studio (RapidMiner). The Clustering process generated three groups of regions with distinct poverty characteristics: a low-poverty cluster consisting of Bandar Lampung City and Metro City, a high-poverty cluster comprising seven regencies, and a moderate-poverty cluster consisting of six regencies. Cluster evaluation using the Davies-Bouldin Index produced a score of 0.931, indicating a reasonably good Clustering performance. The findings provide a clearer understanding of regional poverty characteristics and may serve as supporting information for determining development priorities and designing more targeted poverty alleviation programs in Lampung Province.
Penerapan Algoritma K-Means untuk Klasterisasi Kabupaten/Kota Berdasarkan Karakteristik Ketenagakerjaan Menggunakan Rapidminer di Provinsi Lampung
Employment is an important indicator that reflects the economic condition and development level of a region. Variations in employment characteristics among regencies and cities in Lampung Province indicate the need for a grouping method to identify areas that share similar employment profiles. This research aims to classify regencies and cities in Lampung Province by applying the K-Means clustering algorithm. The study utilized secondary data obtained from the Central Statistics Agency (BPS) of Lampung Province, consisting of the number of registered job seekers, registered job vacancies, workforce placements, the ratio of vacancies to job seekers, the ratio of placements to job seekers, the Open Unemployment Rate (OUR), and the Labor Force Participation Rate (LFPR). The research stages included data collection, data preprocessing through Z-Transformation normalization, and cluster formation using the K-Means algorithm in RapidMiner. The results demonstrate that employment conditions vary across regencies and cities in Lampung Province, leading to the formation of several clusters with distinct characteristics. The resulting clusters provide an overview of regional employment patterns and may serve as supporting information for policymakers in formulating employment programs and strategies that are better aligned with local needs.
Penerapan Algoritma Naive Bayes untuk Klasifikasi Penurunan Semangat Belajar Mahasiswa Program Studi Sistem Informasi Angkatan 2023 Universitas Nahdlatul Ulama Lampung
Learning motivation plays an important role in supporting students’ academic performance as well as their involvement in learning activities. A decrease in motivation can arise from both personal and environmental influences, such as self-drive, social media exposure, time management ability, peer influence, and daily study behavior patterns. This study focuses on analyzing the factors related to the decline in learning motivation among students of the Information Systems Study Program, Class of 2023, Universitas Nahdlatul Ulama Lampung, while applying the Naive Bayes method for data classification. A quantitative approach was adopted, where data were collected through questionnaires distributed to 28 respondents. The collected data were processed using the Naive Bayes algorithm with the assistance of R Studio. The research process included data collection, preprocessing, model building, testing, and performance evaluation. The results show that the Naive Bayes model achieved a classification accuracy of 60%. These findings indicate that the method can help identify patterns related to declining student motivation. Therefore, the study is expected to support students, lecturers, and institutions in developing strategies to improve learning motivation.
Analisis Penerimaan Pengguna terhadap Sistem E-Commerce Terne Menggunakan Technology Acceptance Model (TAM)
The Terne e-commerce functions as a medium for both showcasing products and facilitating transactions over the internet. This research utilizes the Technology Acceptance Model (TAM) to explore the elements that affect users acceptance of the site, particularly concentrating on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Behavioral Intention to Use (BI). The objective of this analysis is to investigate how PEOU impacts PU, the influence of PEOU on BI, and the relationship between PU and BI. A quantitative method was adopted, gathering responses from 59 users of the Terne e-commerce platform through surveys. The data were processed using SPSS, involving assessments of validity and reliability, classical assumptions, and both simple and multiple linear regression analyses. The findings reveal that PEOU significantly and positively impacts both PU and BI. Conversely, PU does not significantly influence BI. The F-test indicates that PEOU and PU together significantly affect BI. The coefficient of determination (R² = 0.283) shows that 28.3% of the variations in BI can be attributed to PEOU and PU. These results imply that the ease of use is the key factor driving users to adopt the Terne e-commerce platform.
Perancangan Sistem Informasi E-Learning Menggunakan Metode Waterfall
The issue of education and teaching is a highly complex one, influenced by several factors. Teachers are a vital component who play a central role in education and guidance. The success of the learning process depends heavily on the role of teachers. The role of teachers is to convey educational topics to pupils through communicative interaction, using textbooks and media as part of a continuous learning process. This study employs a descriptive method and various data collection techniques. Descriptive research is a method used to explain phenomena occurring in the present and the past. Meanwhile, the data collection techniques employed in this study include observation, interviews and literature review. This study has produced a system that facilitates learning for teachers and pupils without the need for face-to-face meetings. The system development method utilises the waterfall approach. This method begins with a system requirements analysis and proceeds systematically through the design, coding, and testing/verification phases. The system is designed to enable teachers to distribute educational materials, assignments and announcements. Furthermore, the system also sets deadlines for the completion of assignments so that teachers can monitor the work assigned. There are also practice exercises for pupils as part of the learning process, aimed at deepening their understanding of the subject matter.
Rancang Bangun Website E-Commerce sebagai Media Penjualan Gula Aren pada Desa Sirau
This study aims to design and develop an E-commerce Website as a sales medium for palm sugar products in Sirau Village. The background of this research is based on the problems faced by local Micro, Small, and Medium Enterprises (MSMEs), including traditional marketing methods, limited market reach, and manual transaction recording, which is inefficient and prone to errors. In addition, the absence of an official online platform makes it difficult for consumers to obtain product information and conduct transactions. The research method used is Research and Development (R&D) with the Prototype development model. The stages include Communication, Quick planning, Modeling, Prototype Construction, and deployment, delivery, and feedback. Data collection techniques were carried out through Interviews, Observations, literature studies, and Documentation. The system was developed using PHP as the programming language, MySQL as the database, and supported by HTML and CSS for the User interface. The results of this study indicate that the developed E-commerce Website has main features such as User registration and login, product catalog, shopping cart, Checkout, and payment system. Based on testing using the Black Box Testing method, all system features function properly as expected. This system is able to assist MSMEs in expanding market reach, improving data management efficiency, and providing convenience for consumers in conducting online transactions. Thus, the developed E-commerce Website can be an effective solution to increase sales and marketing of palm sugar products digitally in Sirau Village.
Analisis Performa Mesin Pencari Google, Yahoo, dan Microsoft Bing Berdasarkan Kecepatan Respons dan Stabilitas Pencarian Data
Technological developments have made search engines the primary means of obtaining information quickly and efficiently. Differences in speed performance between search engines can impact user effectiveness in searching for data and support work productivity. This study aims to analyze and compare the speed of data search processes on Google, Yahoo, and Microsoft Bing. The research method used is quantitative, with 25 response time tests on each search engine using the same keywords. Data were analyzed using descriptive statistics, averages, standard deviations, linear regression, and one-way ANOVA tests. The results showed that Google had the fastest average response time of 0.22 seconds with the best level of stability, while Yahoo had an average of 0.96 seconds and Bing 1.01 seconds with a higher level of fluctuation. The ANOVA test showed significant differences between the three search engines in the data search process. This study contributes to the development of information systems studies and serves as a reference for users in choosing a search engine.
Pemanfaatan Teknologi Informasi dan Komunikasi dalam Meningkatkan Kualitas Pembelajaran Pendidikan Agama Islam
The development of Information and Communication Technology (ICT) has brought significant changes to various aspects of human life, including education, particularly in the teaching and learning of Islamic Religious Education (IRE). This article aims to analyze the utilization of ICT in improving the quality of IRE learning, identify its contributions, and examine the challenges and strategies for optimizing its implementation. This study employed a qualitative approach using a library research method by utilizing various data sources, including books, scientific journals, research articles, and academic documents relevant to the research topic. The findings indicate that the utilization of ICT through digital presentations, instructional videos, digital Qur’an applications, online learning platforms, interactive multimedia, and educational social media can enhance students’ learning motivation, learning effectiveness, interactivity, access to learning resources, and digital literacy skills. However, the implementation of ICT in IRE learning still faces several challenges, such as limited technological infrastructure, inadequate teachers’ digital competencies, students’ distractions in using technology, and ethical and moral issues related to digital media use. Therefore, strategic efforts are required, including improving teachers’ digital competencies, strengthening educational infrastructure, developing technology-based Islamic learning media, and reinforcing digital literacy and ethics based on Islamic values to ensure that ICT utilization is implemented optimally and sustainably. Consequently, ICT plays a strategic role in supporting more effective, innovative, adaptive, and relevant Islamic Religious Education learning in meeting the demands of education in the digital era.
Analisis Pelanggaran Etika Profesi TI dalam Penyalahgunaan Data Pengguna pada Aplikasi Mobile
Rapid growth of mobile applications in the digital era has significantly improved public access to various services. However, this development has simultaneously increased the risk of personal data misuse within the digital ecosystem. This study aims to identify and analyze various forms of violations of Information Technology (IT) professional ethics that are likely to occur throughout the processes of collecting, processing, storing, and sharing user data on mobile application platforms. This research employed a qualitative descriptive approach through a literature review. The analysis was conducted by comprehensively examining data management practices based on the fundamental principles of IT professional ethics, the provisions of Indonesia's Personal Data Protection Law (PDP Law), and internationally recognized mobile application security standards. The findings reveal that the most common ethical violations include excessive or unnecessary data collection beyond the application's primary functions, non-transparent and misleading user consent mechanisms, unauthorized sharing of personal data with third parties, inadequate data storage protection leading to security breaches, and large-scale exploitation of user data to manipulate user behavior for commercial purposes. These unethical practices directly violate the principles of responsibility, integrity, confidentiality, fairness, and information security. Consequently, to maintain public trust and minimize the risk of cybercrime, mobile application developers and service providers are strongly encouraged to adopt privacy-by-design principles, implement strict data minimization practices, strengthen multilayered technical security controls, and establish privacy policies that are transparent, accessible, and easily understood by all users.
Pengembangan Sistem Informasi Manajemen Berbasis Web pada Lembaga Kursus dan Pelatihan Bina Eksel Mandiri
This study aims to develop a web-based Management Information System for the Bina Eksel Mandiri Course and Training Institute to improve administrative efficiency and enhance service quality for both participants and institutional administrators. The research employed a Research and Development (R&D) approach using a descriptive qualitative method. Data were collected through observations, interviews, documentation, and literature reviews to identify system requirements and existing administrative challenges. The system was developed using the Waterfall model, consisting of the stages of requirements analysis, system design, implementation, testing, and evaluation. The resulting system integrates the management of participant data, instructor information, training schedules, attendance records, assessment results, and activity reports into a single web-based platform that is easily accessible and user-friendly. System functionality was evaluated using Black Box Testing, which demonstrated that all features operated successfully according to user requirements without significant errors. The implementation of the system improved administrative efficiency, accelerated data processing and storage, minimized recording errors, and enhanced the quality of institutional services. Overall, the developed management information system provides an effective, integrated, accurate, and sustainable solution for supporting administrative management and improving operational performance at the training institution.
Smart SiMiTi: Design and Implementation of a Modern Information System
This study aims to design, implement, and evaluate Smart SiMiTi as a modern information system developed to support integrated, efficient, and user-friendly data management, reporting, information access, and administrative processes. The study addresses the growing organizational need for an information system that reduces data fragmentation, improves information accuracy, accelerates work processes, and supports data-driven decision-making. A Design Science Research approach combined with an evaluative quantitative method was employed. The research stages included problem identification, requirement analysis, system design, artifact development, implementation, functional testing, and user perception evaluation. The sample consisted of 120 respondents selected through purposive sampling. Data were collected using observation, interviews, document review, system testing, and Likert-scale questionnaires, then analyzed with Partial Least Squares-Structural Equation Modeling using SmartPLS. The findings indicate that Smart SiMiTi successfully fulfilled its primary functional requirements, including user management, data processing, information retrieval, validation, storage, and reporting. Structural model testing revealed that system design quality positively influenced system quality (0.681) and information quality (0.594). System quality significantly affected perceived ease of use (0.472) and perceived usefulness (0.318), while information quality also influenced perceived usefulness (0.429). Furthermore, perceived usefulness positively affected user satisfaction (0.497) and net benefit (0.356), whereas user satisfaction significantly influenced net benefit (0.462). All relationships were statistically significant (p < 0.001), except perceived ease of use and user satisfaction (p = 0.001). The study concludes that Smart SiMiTi's success depends on system design quality, information quality, usability, usefulness, and user satisfaction, while integrating Design Science Research, the Information Systems Success Model, and the Technology Acceptance Model.
Analisis Pengguna E-Commerce Menggunakan Algoritma K-Means dan Hierarchical Clustering
This study aims to analyze E-commerce user behavior through customer segmentation using K-Means and Hierarchical Clustering algorithms. The research applies a quantitative Data Mining approach using the E-commerce Customer Behavior Dataset obtained from Kaggle, consisting of 5,000 customer transaction records. The analysis process was conducted using Orange Data Mining 3.40.0 through several stages, including data collection, attribute selection, preprocessing, Clustering, evaluation, and interpretation of results. The attributes used include customer demographics, transaction characteristics, product information, session activities, and customer ratings. The Clustering process generated three user groups using both algorithms. Results show that K-Means produced clearer cluster separation and easier interpretation through scatter plot visualization and statistical evaluation. Cluster distribution analysis indicates that most users belong to groups with relatively similar transaction characteristics, while smaller clusters represent users with significantly higher transaction values. Meanwhile, Hierarchical Clustering provides additional insight through dendrogram structures that illustrate hierarchical relationships among customer groups. Overall, both algorithms successfully identified user segments based on transaction behavior, although K-Means produced more interpretable Clustering results for E-commerce customer segmentation.
Pengembangan Sistem Pemesanan Pendamping Lansia Berbasis Mobile untuk Mendukung Aktivitas dan Mobilitas Lansia
Older adults are vulnerable to mobility impairments and often require assistance in carrying out daily activities. However, time constraints, work commitments, and geographical distance frequently limit family members from providing direct support. This study aims to develop a mobile-based elderly caregiver booking system to help families obtain caregiver services according to the activity and mobility needs of older adults. The system was developed using the Waterfall method, which includes requirements analysis, design, development, testing, and maintenance stages. Functional testing was conducted using Black Box Testing, while usability evaluation was performed using the System Usability Scale (SUS) involving 15 respondents. The results showed that all main system features functioned according to the specified requirements. In addition, the usability evaluation achieved an average SUS score of 88.3, which falls into the Excellent category and indicates a high level of user acceptance. The developed system is expected to facilitate families in obtaining elderly caregiver services more easily, effectively, and systematically.
Prediksi Tingkat Resiko Stroke Pasien Berbasis Gejala Klinik Menggunakan Multilayer Perceptron
Stroke is a condition that represents one of the leading causes of death and permanent disability worldwide; therefore, early diagnosis is essential to minimize associated risks. This study aims to implement the Multilayer Perceptron (MLP) method on two different datasets to analyze the effect of the number of input attributes on stroke risk prediction performance. The study was conducted using two public datasets with variations in the number of records (35,000 and 70,000 instances) and the number of attributes (17 and 16 features). The experimental method was divided into two scenarios: Scenario 1 utilized all available attributes, while Scenario 2 employed only the intersecting attributes (two features) to evaluate model efficiency. Model performance was assessed using a confusion matrix with accuracy, precision, recall, and F1-score as evaluation metrics. The results indicate that the MLP model achieved accuracy ranging from 80% to 98% across both datasets. A significant finding shows that feature dimensionality reduction in Scenario 2, using only two input attributes, was still able to achieve accuracy above 80% on Dataset 2 and Dataset 3, demonstrating computational efficiency without a substantial decline in performance. This study demonstrates that MLP remains effective and efficient even with limited features, thereby highlighting that appropriate feature selection can improve model efficiency without significantly compromising performance. These findings are expected to serve as a reference for the development of artificial intelligence-based disease prediction systems in the future.
Perancangan PinjAR: Sistem Perpustakaan Digital Berbasis Web dengan Integrasi QR Code di SMAN 2 Tilatang Kamang
PinjAR (Borrowing with QR Code) was developed as a web-based library system utilizing QR code technology to identify book collections and WhatsApp API as a means of delivering transaction information to users. The system development process uses R&D (Research and Development) with an Agile approach, through planning, design, coding, testing, and release. Software quality measurement refers to the ISO/IEC 25010 standard, namely functional suitability, compatibility, and usability, while product validity testing is carried out using the Aiken's V method. The resulting application provides features for managing book collections, member data, borrowing and returning books, generating reports, and reminder notifications connected to the system. The test results showed a value of 100% for functional suitability, with 100% compatibility, and 91.30% for the usability aspect. Meanwhile, the validation results obtained an Aiken's V value of 0.93 for the system design aspect and 0.97 for the language aspect. This achievement shows that PinjAR has good quality standards and can be used as a library service solution at SMAN 2 Tilatang Kamang.
Business Process Reengineering Pengolahan Silabus di Sekolah Anak Tangguh Al-Ghuroba'
The syllabus management process in homeschooling is still conducted manually, resulting in various problems such as difficulties in document archiving, suboptimal coordination between teachers and principals, and the absence of an integrated revision tracking system. This study aims to implement Business Process Reengineering (BPR) in the syllabus management process trough the development of a web-based system. Requirements analysis and problem identification were conducted using the PIECES framework, which covers the aspects of Performance, Information, Economy, Control, Efficiency, and Service. The system was developed using the Rapid Application Development (RAD) method, which emphasizes rapid development through active user involvement. The research stages included the analysis of existing business processes, business process redesign, system development, and system testing. The results indicate that the developed system improves the efficiency of syllabus management, facilitates centralized document management, accelerates coordination between teachers and principals, and supports more effective syllabus monitoring and control. Therefore, the proposed system can serve as a solution to enhance the quality of syllabus management in homeschooling and has the potential to be implemented in similar educational institutions.
Audit Sistem Informasi Akademik Menggunakan Framework COBIT 5 Domain DSS dan TIA/942
To ensure the quality of academic services in line with the investments made, higher education institutions need to conduct Information System audits to measure the capability and maturity level of their system services while providing recommendations for future service performance improvements. XYZ Polytechnic is a vocational higher education institution whose core business focuses on academic activities, making it highly dependent on the Academic Information System (AIS). This study audits the Academic Information System of XYZ Polytechnic using the COBIT 5 Framework, particularly the Delivery, Service and Support (DSS) domain, to evaluate service performance and capability. In addition, the TIA/942 standard is applied to assess the suitability of the Data Center infrastructure in supporting the security and reliability of AIS services. The results indicate that the capability level of the Academic Information System services in the DSS domain is at Level 1 (Performed Process), meaning that the institution has only reached the stage of recognizing and performing information system activities within the organization. Furthermore, the assessment of the Data Center infrastructure in the DSS05 domain based on the TIA/942 standard reveals that the current infrastructure does not fully comply with the standard, primarily due to the absence of continuous 24-hour monitoring.
Evaluating the Performance of Web-Based Village Information Systems in Supporting Public Administrative Services
This study aims to evaluate the performance of a web-based Village Information System in supporting public administrative services at the village level. The digitalization of village services has become increasingly important as citizens demand faster, more transparent, accessible, and accountable public services. However, the existence of a village website does not always guarantee improved service quality if the system is not optimally used, information is not regularly updated, and village officials lack sufficient capacity to manage digital services. This study employed a quantitative explanatory approach with a survey design. The respondents consisted of 150 participants, including 120 citizens who had used web-based village administrative services and 30 village officials involved in managing or utilizing the Village Information System. The sampling technique used was purposive sampling, with criteria requiring respondents to have accessed or used the village information system. Data were collected through a closed-ended questionnaire using a five-point Likert scale and analyzed using Partial Least Squares Structural Equation Modeling. The research variables included system quality, information quality, service quality, system use, user satisfaction, and public administrative services. The results show that system quality, information quality, and service quality have positive effects on system use and user satisfaction. System use also has a positive effect on user satisfaction and public administrative services. The strongest finding indicates that user satisfaction is the dominant factor in improving public administrative services. This result demonstrates that the success of a Village Information System is not determined solely by technological availability but also by user experience, information accuracy, accessibility, and support from village officials. The implication of this study emphasizes the importance of sustainable management of village information systems through regular data updates, capacity building for village officials, digital service guidelines, and periodic evaluation of user satisfaction. These efforts are necessary to ensure that public administrative services become more effective, transparent, and accountable through the use of web-based village information systems.
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Evaluasi Keamanan Rekam Medis Elektronik pada Rumah Sakit X
Electronic Medical Records (EMR) have become a mandatory component of digital health transformation in Indonesian hospitals, yet their implementation introduces information security risks that directly affect hospital quality management and patient trust. This study aimed to evaluate the security level of the EMR system at X Hospital based on the ISO/IEC 27001:2022 standard and the Indonesian Minister of Health Regulation No. 24 of 2022. A descriptive quantitative method with a Gap Analysis approach was employed, involving 54 respondents from three work units selected through total sampling, using a closed questionnaire adapted from 93 ISO/IEC 27001:2022 security controls, supported by direct observation and documentation review. The results show that overall EMR security reached a good category at 77.3 percent, with an average gap of 22 percent classified as small compared to the ideal standard. The largest gaps were identified in People Controls and the Availability aspect, indicating that human resource management and system continuity planning remain the weakest areas. These findings imply that hospital management should prioritize cybersecurity training, stricter password policies, and the development of disaster recovery and business continuity plans to strengthen EMR security and support compliance with national and international standards.