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 :
Analisa Sistem Informasi Penggajian Guru pada SDS Islam Ahdi
This study examines the teacher payroll information system implemented at SDS Islam AHDI. At present, the payroll process still depends heavily on manual recording and the use of basic Excel spreadsheets. Such methods often lead to frequent data entry errors, slow payroll processing, and difficulties in producing accurate and timely reports for administrative needs. Using a qualitative descriptive approach supported by the PIECES II framework, the analysis evaluates six key dimensions: Performance, Information, Economy, Control, Efficiency, and Service. Data collected through questionnaires distributed to 40 respondents reveal consistently low scores across all categories—Performance (1.70), Information (1.57), Economy (1.52), Control (1.58), Efficiency (1.55), and Service (1.50). All of these values fall into the “very poor” category. The findings clearly indicate that the existing payroll system is far from effective and does not meet organizational requirements. Therefore, the study highlights the urgent need for a more structured, automated, and integrated system that can enhance data accuracy, accelerate payroll processing, and improve overall service quality for both teachers and administrative staff.
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Implementasi Chatbot WhatsApp Berbasis NLP untuk Otomasi Pemesanan pada UMKM Perikanan dengan Hybrid BERT dan GPT
Advances in information and communication technology have transformed the way micro, small, and medium enterprises interact with customers. Instant messaging platforms like WhatsApp have become a primary channel for customer service due to their massive adoption and ease of access. This article presents a WhatsApp-based chatbot designed to support product ordering processes in fishery SMEs. The chatbot was developed using a hybrid Natural Language Processing (NLP) approach, combining a fine‑tuned BERT model for structured intent classification and GPT‑4o Mini as a backup mechanism when the system encounters questions outside the trained scenarios. The system is integrated with a MySQL database to ensure that user interactions are automatically recorded and properly managed. The research methodology includes data collection, system design, implementation, and testing using the black-box testing method. The developed features are expected to provide relevant and natural responses while reducing administrative workload. The results show that the NLP-based chatbot successfully facilitates customer interactions and delivers product information quickly and accurately.
Copyright (c) 2026 Jurnal ilmiah Sistem Informasi dan Ilmu Komputer https://creativecommons.org/licenses/by-sa/4.0
Evaluasi Kesiapan Menggunakan Metode Tri dan Rancang Bangun Pendataan Sistem Informasi Audit K3
The Occupational Health and Safety (OHS) audit process at PTPN IV Sawit Langkat is still conducted manually, which often causes delays in document management and increases the risk of audit delays. This condition highlights the need for a web-based data management information system that can improve the efficiency of data collection and audit review processes. To assess the level of user readiness in adopting the system, the Technology Readiness Index (TRI) approach was applied through questionnaires and observations involving OHS staff, auditors, and managers. The data were analyzed based on the four main TRI dimensions and produced a total score of 3.51, indicating that users are categorized as ready to use technology. Based on these findings, a web-based OHS audit information system was designed using the Waterfall development model. The system includes key features such as announcement input, audit document uploads, report review, digital verification by managers, and structured document storage. The resulting system is able to support a faster, more organized, and easily accessible audit process for all related parties.
Analisis dan Evaluasi Kinerja Sistem Informasi Absensi Karyawan di PT. Cantika Alami Indonesia Menggunakan Metode Pieces
Employee attendance systems play an important role in supporting human resource management and managerial decision-making. PT. Cantika Alami Indonesia still uses a manual attendance system through attendance books and signatures, which are later recapitulated using Microsoft Excel. This system has the potential to cause recording errors, data manipulation, and inefficiencies in information processing. This study aims to analyze and evaluate the performance of the employee attendance information system using the PIECES method. The research employed a descriptive quantitative approach with data collection techniques through observation and questionnaires distributed to 35 respondents. The observation results indicate that the attendance and data recapitulation processes require considerable time and have a low level of control. The results of the PIECES calculation show average scores of 1.58 for performance, 1.56 for information, 1.62 for economy, 1.52 for control, 1.66 for efficiency, and 1.59 for service, all of which fall into the very poor category. These findings indicate that the manual attendance system has not been operating optimally. Therefore, evaluation and development of a technology-based attendance.
Analisis Pelanggaran Privasi Data Nasabah Akibat Serangan Siber Pada Aplikasi Mobile Banking
This study aims to evaluate a customer data privacy breach resulting from a cyberattack on Bank Syariah Indonesia's (BSI) mobile banking application in 2023. A ransomware attack carried out by the LockBit 3.0 group resulted in a 1.5 terabyte data leak and disrupted BSI's digital service system across the country. The research approach used was a qualitative descriptive case study to understand the causal factors, the types of breaches that occurred, and the mitigation measures taken by the bank. The results indicate that the privacy breach occurred due to weaknesses in the internal security system, delays in system updates, a lack of end-to-end encryption implementation, and low security awareness among both users and employees. Mitigation measures included security audits, collaboration with the National Cyber ​​and Crypto Agency (BSSN), firewall strengthening, and digital security education for customers. These findings underscore the importance of collaboration between technology, regulation, and digital literacy in strengthening personal data protection in the banking sector. Consistent implementation of the Personal Data Protection Law (Law No. 27 of 2022) is key to building a safe, reliable, and ethical mobile banking ecosystem in Indonesia.
Analisis Kepuasan Pengguna Aplikasi Pendidikan Menggunakan Metode End User Computing Satisfaction Gabungan
Educational applications are here to improve effectiveness, efficiency, and accessibility in the learning process, consistently providing comprehensive digital learning solutions for millions of students. This platform actively integrates video content, question banks, and virtual tutoring to improve the quality and accessibility of education. However, amid domestic dominance, global competition data shows that one platform has experienced a significant decline in its ranking on the global edutech map. This phenomenon raises the urgency to test and reevaluate the competitiveness and relevance of its products from the user's perspective. This quantitative study took samples from active users of educational applications and adopted the End-User Computing Satisfaction (EUCS) developed as its analytical framework. The main objective of this study was to analyze the level of end-user satisfaction with the Edutech platform, while identifying the most significant EUCS dimensions that influence satisfaction, as a direct response to the issue of declining rankings. The results of hypothesis testing show that the three main EUCS variables, namely Content, Accuracy, and Format, are empirically accepted as factors that influence End User Satisfaction. Meanwhile, the variables of Timeliness, Ease of Use, System Speed, and Flexibility do not show a significant influence. These findings clearly underscore that primary users consider the substance of the subject matter, the reliability of the information, and the layout of the presentation to be the main determinants of their satisfaction.
Analisis Perancangan E-Commerce Menggunakan Content Management System Wordpress pada PT Sejahtera Bersama Telaga
The development of information technology has changed the way humans interact and transact, including in the health sector. PT Sejahtera Bersama Telaga, as a distributor of medical devices, seeks to improve marketing and sales efficiency by developing an e-commerce platform based on the WordPress Content Management System (CMS). This study aims to analyze and design an e-commerce system that suits the company's business needs, identify important features needed, and optimize Search Engine Optimization (SEO) strategies to increase visibility in search engines. The method used is the Waterfall method, which consists of stages of analysis, design, implementation, testing, and maintenance, as well as Fishbone analysis to identify problems in the current marketing and sales process. The results of the study indicate that the development of an e-commerce platform can increase sales, expand market reach, and provide easy access for customers, and the implementation of an effective SEO strategy is expected to increase visitor traffic to the website. This study is expected to contribute to the development of an online health product marketing information system in the future.
Efektivitas Program Siaran Radio sebagai Media Edukasi, Sosialisasi Publik, dan Peningkatan Kesadaran Sosial Masyarakat
Radio continues to maintain its existence as an effective mass communication medium in reaching communities across various social, economic, and geographic backgrounds. Amid the rapid development of digital media, radio retains distinctive characteristics that enable the delivery of information in a fast, simple, and easily understandable manner for listeners. This study aims to examine the effectiveness of radio broadcast programs as educational media, as a means of public socialization, and as instruments for increasing public social awareness of emerging social issues. The study employs a qualitative descriptive approach, with data collected through in-depth interviews with broadcasters and listeners, observations of the broadcasting process, and relevant supporting documentation. The findings indicate that radio broadcast programs are able to convey educational information and social messages effectively due to their broad accessibility, communicative nature, and relatively high level of trust among audiences. Furthermore, radio programs play an important role in building public understanding, fostering social awareness, and encouraging active listener engagement with the social issues presented in the broadcasts. The implications of this study affirm that radio remains relevant as a medium for education and public socialization. Therefore, the role of radio needs to be continuously optimized by broadcasting institutions and stakeholders in efforts to sustainably enhance public social awareness.
Dari Fragmentasi Menuju Integrasi: Strategi Big Data untuk Manajemen Penyakit Kronis pada Jamaah Haji Indonesia – Scoping Review
Hajj and Umrah, as forms of large-scale international mass worship, present significant health risks, particularly for elderly pilgrims and individuals with chronic diseases. As the world’s largest contributor of pilgrims, Indonesia faces complex health challenges, especially due to the high prevalence of non-communicable diseases such as diabetes, hypertension, and cardiovascular conditions. These circumstances necessitate more comprehensive, integrated, and data-driven health management strategies. This scoping review aims to systematically explore the utilization of big data technology in improving chronic disease management and strengthening the health resilience of Indonesian pilgrims during the Hajj and Umrah pilgrimage. The review was conducted using the methodological framework of Arksey and O’Malley and reported in accordance with the PRISMA-ScR guidelines. A systematic literature search identified several relevant studies addressing the application of big data in pilgrim health systems. The findings reveal major challenges, including fragmented health information systems, limited use of predictive analytics, and gaps in longitudinal data analysis and ethical governance of health data. It is concluded that big data has substantial transformative potential in enhancing the quality of healthcare services and health protection for pilgrims. Therefore, future efforts should focus on integrating national electronic medical record systems such as SatuSehat, strengthening ethical frameworks, and enhancing cross-sectoral collaboration to optimally safeguard the health of Indonesian pilgrims during the pilgrimage.
Evaluasi Sistem Informasi Pemesanan Tiket Pesawat Berbasis Website pada Mmbc Travel Menggunakan Metode TAM (Technology Acceptance Model)
This study aims to assess the level of user acceptance of the website-based airline ticket booking system at MMBC Travel using the Technology Acceptance Model (TAM). The TAM model is used to measure the influence of the variables Perceived Ease of Use, Perceived Effectiveness, Attitude Toward Use, and Behavioral Intention to Use on user acceptance of the system. Data were obtained by distributing questionnaires to 100 respondents who were active users of the system. Data analysis was conducted using path analysis to examine the relationships between the variables in the model. The results showed that all relationships between the tested variables had a positive and significant impact. The average user perception score was above 3.5 on a scale of 5, indicating that the information system was considered quite easy to use, useful, and well-received by users. Therefore, it can be concluded that the website-based airline ticket booking system at MMBC Travel meets the aspects of ease of use and usefulness, making it worthy of continued use and development.
Analisis Sentimen Persepsi Masyarakat pada Media Sosial X Menggunakan Metode K-Means, SVM, dan Teknik Smote
The Free Nutritious Meal (MBG) Program has emerged as a major public policy issue frequently discussed on social media platform X (Twitter). Public discourse surrounding this program reflects diverse perspectives, including support, criticism, and broader debates on national nutrition policies. This study seeks to identify the dominant topics within these conversations through K-Means clustering and to classify sentiments using the Support Vector Machine (SVM) algorithm, enhanced with SMOTE to address class imbalance. A total of 3,053 tweets were collected through crawling. The clustering results revealed three main themes: (1) nutrition fulfillment and food access for priority groups, highlighted by keywords such as nutrition, milk, fish, toddlers, schools, and pesantren; (2) political dynamics and program legitimacy, represented by terms like stunting, support, president, Prabowo, society, and national; and (3) state financial concerns, reflected in words including tax, funds, state budget, cost, people, and expenditure. In sentiment analysis, SVM without SMOTE produced accuracies of 65.69%, 67.76%, and 68.12% under 90:10, 80:20, and 70:30 split ratios. After applying SMOTE, accuracy increased to 77.94%, 76.38%, and 75.06%, with an F1-Score of 78%. These results confirm that K-Means is effective in identifying discussion topics, while SMOTE enhances SVM performance in sentiment classification.
Model Prediksi Kelulusan Siswa Menggunakan Algoritma Adaptive Boosting (Adaboost) dan Extreme Gradient Boosting (Xgboost)
Student graduation is one indicator in evaluating the success of the learning process, so an accurate prediction model is needed to support academic decision making. This study aims to compare the performance of prediction models generated by the AdaBoost and XGBoost ensemble learning algorithms in predicting student graduation. The stages of the study include data collection, data pre-processing, validation, evaluation, and model comparison. Model evaluation used a confusion matrix, producing measurement metrics of accuracy, precision, recall, and F1-score. The comparison results showed that both models performed very well. The AdaBoost model produced an accuracy of 0.95, precision of 0.95, recall of 0.99, and an F1-score of 0.97. Meanwhile, the XGBoost model produced an accuracy of 0.94, precision of 0.94, recall of 0.99, and an F1-score of 0.97. Based on the comparison results, AdaBoost showed slightly superior performance in terms of accuracy and precision. The results of the study show that the boosting algorithm is effective for implementation in predicting student graduation and can be used to support decision-making in the academic field.
Analisis dan Perancangan Sistem Informasi Pengiriman Surat Berbasis Web pada Perusahaan Ekspedisi PT. Djakarta Ekspress
PT. Djakarta Ekspress is an expedition company that still uses a manual system for its mail delivery operations, leading to various problems such as delayed data input, difficulties in archive searches, vulnerability to data loss, and the absence of real-time delivery tracking features. This research aims to analyze the existing manual system, design, and implement a web-based mail delivery information system as a solution to improve the company’s operational efficiency and effectiveness. The development method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, testing, and evaluation. The implementation results show that the web-based system enables faster and more accurate mail data recording, automatic courier assignment, and safer data storage in a database. The system is also equipped with real-time delivery tracking features and the ability for couriers to upload delivery proof in the form of photos, thus assisting both admin and customers in monitoring delivery status. System evaluation based on questionnaire data shows a significant improvement from the "Very Poor" to "Very Good" category in terms of ease of use, feature completeness, and user satisfaction. Additionally, strengthening data security with encryption, two-factor authentication, and system scalability testing is recommended for future development. This system has proven to be effective in enhancing the efficiency, professionalism, and competitiveness of PT. Djakarta Ekspress in the digital era.
Penyelarasan Strategi Bisnis dan Strategi Teknologi Informasi Dalam Meningkatkan Nilai Investasi TI pada BNI
Digital transformation is driving banks to ensure that Information Technology (IT) investments align with business strategy and deliver tangible value to the organization. As a state-owned bank, Bank Negara Indonesia (BNI) continues to strengthen its digital capabilities through its Technology Division. However, without focused strategic planning, IT investments have the potential to underperform in supporting business objectives. This study aims to analyze and design the alignment of business and IT strategies in the Technology Division of BNI using the Ward and Peppard approach. The research method used is descriptive qualitative with a case study, through analysis of the business environment and the IT environment. The results show that the application of the Ward and Peppard approach is able to produce an IS/IT strategy that is aligned with business needs, supported by a clear application portfolio and Alignment Matrix. This research confirms that the alignment of business and IT strategies plays a critical role in supporting digital transformation, improving operational efficiency, and ensuring IT investments deliver sustainable business value for BNI.
Comparative Analysis of Startup Valuation Using the Dave Berkus Method and Scorecard Method in a Case Study of Pesona Plastic
This study aims to compare startup valuation results using The Dave Berkus Method and the Scorecard Method on Pesona Plastic, an early-stage social and environmental startup engaged in plastic waste recycling into furniture products in Bali. The research applies a qualitative descriptive approach with data collection through observation, semi-structured interviews, and documentation. The valuation results show that The Dave Berkus Method produces a higher valuation of IDR 3,900,000,000 compared to the Scorecard Method, which yields IDR 3,170,700,000. The difference is mainly caused by variations in assessment focus, where The Dave Berkus Method emphasizes non-financial and internal potential factors such as business ideas, prototypes, team quality, strategic relationships, and early market acceptance. In contrast, the Scorecard Method relies more on market comparisons and industry benchmarks, which are limited for early-stage startups. Considering the development stage and characteristics of Pesona Plastic, The Dave Berkus Method is considered more relevant and representative for valuing the startup. This study contributes to startup valuation literature by providing empirical evidence on the suitability of valuation methods for early-stage social and environmental startups..
Perancangan Aplikasi Pendaftaran Magang Kantor Wilayah Kementerian Agama Provinsi Sumatera Selatan Berbasis Website
Field Work Lectures (KKP) or Practical Work Lectures (PKL) are compulsory activities for students of Bina Darma University Palembang when entering the sixth semester. This program enables students to directly experience the working environment of agencies or companies while applying the knowledge acquired during lectures. KKP/PKL is also an essential academic requirement for continuing to the thesis proposal stage and is recognized as a practical work report course. In this program, the student carried out Practical Work Lectures at a government institution, namely the Regional Office of the Ministry of Religion of South Sumatra Province, located in Palembang. The activity was conducted for a duration of one month. The main objective of this Practical Work Lecture was to study existing procedures and design a modern internship registration system based on website technology. Through this activity, students are able to integrate theoretical knowledge with practical experience, gain a deeper understanding of real working conditions, and enhance professional skills. The implementation of KKP also provides valuable insights into organizational workflows and administrative systems. The outcomes of this activity are documented in a report focusing on the design of a website-based internship registration system intended to support administrative processes at the Regional Office of the Ministry of Religion of South Sumatra Province.
Implementasi Sistem Informasi Penjualan dan Manajemen Inventory Berbasis ERP Odoo Menggunakan Metode Rapid Application Development pada Pet Shop
This study aims to implement a sales and inventory management information system based on Odoo ERP using the Rapid Application Development (RAD) method at Anda Pet Shop, a micro, small, and medium enterprise (MSME) in the pet supplies sector. The RAD method was selected for its ability to accelerate system development through an iterative approach that involves users from the early stages through to testing. The implementation of Odoo ERP has been proven to improve data recording accuracy, speed up transaction processes, and simplify real-time inventory management. Based on system testing conducted using the User Acceptance Test (UAT) method and the Technology Acceptance Model (TAM) approach, it was found that the system was well received by users. The average index scores for Perceived Usefulness (PU) and Perceived Ease of Use (PEU) were 87.78% and 81.11%, respectively, indicating that the system provides tangible benefits in improving performance and is relatively easy for users to operate. This research offers a practical solution for MSMEs in managing sales and inventory and serves as a reference for the implementation of similar ERP systems in other small-scale businesses.
Perancangan UI Website untuk Optimalisasi Penjadwalan Layanan pada Bisnis Lucete Beauty
The use of technology to improve business operations, efficiency, and transparency is essential for companies that want to grow in today’s competitive environment. This is especially true in the beauty industry, which continues to attract high interest, particularly among women. Lucete Beauty is a beauty business that offers Eyelash Extension and Korean Manicure and Pedicure services and operates three stores located at Pluit Village Mall, Artha Gading Mall, and Green Sedayu Mall. Currently, Lucete Beauty still uses a manual scheduling system through spreadsheets that combine the schedules of all three stores into one file. This approach increases the risk of data input errors and double bookings, which can negatively affect operational effectiveness and customer satisfaction.To overcome these problems, a website-based system was designed using the Design Thinking method to optimize the service scheduling process. This method was selected to better understand user needs and to develop solutions that are relevant and user friendly. The proposed design is considered acceptable if the usability testing results show a score above 51.7 with an “OK” adjective rating, measured using the System Usability Scale (SUS). Therefore, implementing this system is expected to improve service quality, scheduling accuracy, operational efficiency, and overall business performance.
Analisis Tingkat Kepuasan Pengguna Aplikasi Moovit pada Layanan Transportasi Transjakarta Menggunakan Metode Enhanced Information System Success Model
This study aims to analyze the level of user satisfaction with the Moovit application in TransJakarta transportation services using the Enhanced Information System Success Model (EISSM). The Moovit application is a technology-based information system that provides route guidance, real-time bus arrival estimates, and integrated information on various transportation modes to support user mobility. Data were collected through the distribution of questionnaires using a Likert scale to 100 respondents selected through the Slovin sampling method. The collected data were analyzed using SmartPLS 4 to examine the validity, reliability, and relationships among variables within the EISSM framework. The results indicate that most respondents have a positive perception of the effectiveness of the Moovit application, although several variables remain at a neutral level. The application of the EISSM model reveals that not all indicators meet the criteria for validity and reliability, indicating that certain variables require improvement. Hypothesis testing shows that 9 out of 14 proposed hypotheses are statistically significant. The variables of information quality, system quality, and service quality are found to have a significant effect on user satisfaction with the Moovit application. However, some relationships between variables are not significant, such as the effect of information quality on trust and the effect of user satisfaction on net benefits. Based on these findings, it can be concluded that although the Moovit application is considered helpful for TransJakarta users, improvements in information accuracy, data update speed, and user interface usability are still necessary to enhance user satisfaction, trust, and overall user experience.
Pengembangan Media Edukasi Augmented Reality Arthasasih dalam Lontar Turunan Bhatara Manut Sasih di Museum Gedong Kirtya
The Turunan Bhatara Manut Sasih lontar manuscript is one of Bali’s cultural heritages that contains high philosophical and religious values. However, it is difficult for the public to understand due to the use of Kawi language, Balinese script, and the limited supporting media at the Gedong Kirtya Museum. This study aims to develop an Augmented Reality (AR)-based educational medium that presents the content of the lontar in a visual, interactive, and easily understandable form through the Artha Sasih application. This research employed the Research and Development (R&D) method using the Multimedia Development Life Cycle (MDLC) model, which consists of the stages of concept, design, material collecting, assembly, testing, and distribution. The application was developed using Unity 3D, Vuforia SDK, and Blender 3D. Product testing included black box testing, content expert validation, media expert validation, and user experience evaluation using the User Experience Questionnaire (UEQ). The results show that the Artha Sasih application functions properly, contains valid content, and has an easy-to-use interface and navigation. Based on the UEQ evaluation, the application achieved an “Excellent” category in all assessment aspects. This AR-based educational medium is able to increase visitors’ interest and understanding of the Turunan Bhatara Manut Sasih lontar content and supports the preservation and digitalization of Balinese cultural heritage. Therefore, the Artha Sasih application is considered feasible for use and ready to be implemented at the Gedong Kirtya Museum.
Pengaruh Kualitas Sistem, Kualitas Informasi, dan Kualitas Layanan terhadap Kepuasan Pengguna pada Aplikasi Tangerang Live Menggunakan Metode Delone dan Mclean
Tangerang City, as one of the cities implementing the Smart City concept, provides broader opportunities for the community to participate in and monitor urban development. One of the digital innovations introduced is the Tangerang Live Application, a public service application designed to meet various needs of the residents of Tangerang City. This study aims to identify the factors that influence user satisfaction and the impact of using the Tangerang Live Application. The research employs a quantitative approach using the DeLone & McLean method, which focuses on three main dimensions: system quality, information quality, and service quality. The population in this study consists of users of the Tangerang Live Application, with a sample size of 100 respondents obtained through a simple random sampling technique. Data collection was carried out through the distribution of questionnaires. Data analysis was conducted using multiple linear regression analysis with the assistance of IBM SPSS (Statistical Package for the Social Sciences) software. The results of this study are expected to provide a clear picture of the influence of system quality, information quality, and service quality on user satisfaction, and serve as a reference for the future development of more effective public service applications.
Rancangan Sistem Inventaris Barang IT Berbasis UI/UX pada Divisi IT Support PT. Dynantech International Menggunakan Metode Agile
The advancement of information technology encourages companies to manage IT assets more effectively and in an integrated manner. PT. Dynatech International, as the Head Office responsible for handling the inventory of PT. Dynatech International and PT. Genecraft Labs, previously relied on manual record-keeping, which caused difficulties in asset tracking, loan management, and documentation of damage and maintenance history. This study aims to design a web-based IT inventory system using a UI/UX approach with the Agile (Scrum) method to improve the efficiency and accuracy of asset management. The research method employed is descriptive qualitative with a case study approach through observation, interviews, and literature review. The system development was carried out iteratively through product backlog, sprint planning, sprint development, sprint review, and sprint retrospective stages. The results show that the system is capable of managing the entire IT asset lifecycle, including inventory recording, loan requests, approval processes, damage reporting, and real-time ticket status monitoring. The intuitive UI/UX design enhances usability for both administrators and employees. The implementation of this system improves transparency, increases the efficiency of the IT Support Division’s performance, and supports faster and more accurate data-driven decision-making.
Penerapan Natural Language Processing Menggunakan TF-IDF dan N-Gram untuk Layanan Donor Darah
Blood donor information services require a system capable of understanding user questions and automatically providing relevant answers. Utilizing chatbot technology based on Natural Language Processing (NLP) is one solution to support this process. In this study, a chatbot system was developed to support the blood donor information service at Blood for Life (BFL) Makassar. The study aimed to implement the TF-IDF and N-Gram methods in the question-answer matching process and analyze the accuracy of the system's responses. A mixed methods approach was used, with a qualitative approach for system requirements analysis and a quantitative approach for chatbot performance evaluation. System development was conducted using Agile methodology. System testing was conducted using the match accuracy method on 50 test questions representing a variety of user questions related to blood needs and donor registration. The test results showed that the system was able to generate 47 appropriate responses, with an accuracy rate of 94%. These results demonstrate that the implementation of the TF-IDF and N-Gram methods is capable of producing relevant answers to user questions in the blood donor information service at BFL Makassar.
Klasifikasi Tingkat Kematangan Pisang Menggunakan Metode DEEP Learning dengan CNN
This study aims to develop a banana ripeness classification system using the Convolutional Neural Network (CNN) method. The dataset includes four ripeness categories: Unripe, Half-Ripe, Ripe, and Overripe. The model was trained with variations of 10, 20, 30, 40, and 50 epochs, using a learning rate of 0.001 and a batch size of 16 to determine the optimal configuration. The experimental results show that the best performance was achieved at 30 epochs, producing a validation accuracy of 0.99 and a validation loss of 0.02, indicating high model stability and minimal error. Performance evaluation was conducted using a confusion matrix and supported by Precision, Recall, and F1-Score metrics. Two classes achieved perfect scores of 1.00, while the other two classes recorded F1-Scores above 0.95, reflecting highly accurate predictions. Misclassifications were minimal and occurred only between visually similar categories, specifically Ripe and Overripe. Overall, the CNN model demonstrates strong generalization ability and is highly suitable for automated banana ripeness classification applications
Analisis Kinerja Random Forest untuk Prediksi Penyakit Hipertensi
Hypertension is one of the major cardiovascular diseases that contributes significantly to global mortality and disability rates and is widely recognized as a silent killer due to its frequent absence of early symptoms. The complexity of hypertension risk factors including demographic, clinical, anthropometric, lifestyle, and medical history variables necessitates a machine learning based predictive approach capable of producing accurate and consistent classifications to support early disease detection. This study develops a Random Forest model to predict hypertension risk using the Hypertension Risk Prediction dataset obtained from Kaggle. Data processing was conducted systematically through data cleaning, handling of missing values, outlier treatment using the IQR-based capping method, exploratory data analysis, feature transformation through appropriate encoding techniques, stratified train test data splitting, and numerical feature scaling. The model was subsequently evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics on the test dataset. The evaluation results indicate that the Random Forest model achieved high classification performance, with an accuracy rate of 95.47%, accompanied by balanced performance across classes. These findings suggest that Random Forest has strong potential as an interpretable and effective hypertension prediction model to support early detection efforts and the prevention of cardiovascular complications.
Sistem Informasi Monitoring Hafalan Al-Qur’an Berbasis Web untuk Meningkatkan Efeketifitas Pembelajaran
The rapid advancement of information technology has driven significant transformation across various sectors, including community-based religious education. At TPQ Al-Muwahhidin, the monitoring process of Qur’an memorization was previously conducted using conventional manual recording methods, which led to potential data inaccuracies, delays in information delivery, and limitations in conducting comprehensive progress evaluations. This study aims to develop and implement a web-based information system for monitoring Qur’an memorization to support systematic, structured, and efficient tracking of students’ memorization progress. The system is designed with two primary user roles: teachers as administrators and evaluators, and students as users who access assignments, submit memorization records, and monitor their learning progress. The system was developed using the waterfall model, and its functionality was tested through black box testing to ensure conformity between system requirements and implemented features. The testing results indicate that all core system features operate according to specifications without critical errors. The implementation of this system is expected to enhance learning effectiveness, improve data accuracy, and strengthen sustainable memorization monitoring within TPQ Al-Muwahhidin.
Rancang Bangun Sistem Informasi Booking Online Pangkas Rambut Berbasis Customer Relationship Management (CRM)
The rapid development of information technology is currently driving significant changes in various service industries, including barbershops. Manual ordering systems often lead to irregular queues, uncertain service times, and suboptimal customer data management. Downstreet Barbershop in South Ende District, Ende Regency, faces these challenges, necessitating an information system-based solution. This study aims to design and build an online barbershop ordering information system based on Customer Relationship Management (CRM). Operational CRM is used to manage customer data, service history, and automatic scheduling, while analytical CRM analyzes customer visit patterns to support loyalty strategies through discounts and schedule reminders. The study used qualitative data collection techniques through observation, interviews, and literature studies. The system development used the waterfall method, which consists of the stages of needs analysis, system design, system implementation, system testing, and system maintenance. The results show that the system is able to facilitate customers in ordering services, manage customer data and history in an integrated manner, and support loyalty improvement strategies based on visit patterns. The implementation of this system has an impact on improving service quality and customer loyalty.
Analisis Efektivitas Aplikasi LPI Inventory Control Management System Menggunakan Metode Pieces Framework
In the era of pharmaceutical digitalization, inventory management systems are vital for stock accuracy and supply chain efficiency. This study evaluates the effectiveness of the LPI Inventory Control Management System at the PPIC Department of PT Lloyd Pharma Indonesia, which replaced their conventional system. The evaluation utilizes the PIECES framework (Performance, Information, Economy, Control, Efficiency, and Service) through a quantitative approach supported by SPSS statistical analysis. The results indicate that the application is highly effective, achieving an accumulative mean score of 4.005. The Information indicator recorded the highest score (4.166), confirming the system's ability to provide fast and accurate data. Statistically, the research instruments were declared valid (r > 0.361) and reliable, with Cronbach’s Alpha values exceeding 0.730, where the Service dimension emerged as the most consistent (0.746). Correlation analysis (> 0.7) demonstrates strong synergy between items in explaining the PIECES variables. Overall, the system is proven reliable in enhancing operational efficiency, though periodic monitoring is recommended to maintain service quality.
Perancangan Sistem Informasi Wushu Jambi Berbasis Web Menggunakan Pendekatan UML dan Rolebased Access Control
Digital transformation encourages organizations to implement structured web-based information systems to improve operational efficiency and transparency. This research aims to design a web-based Wushu Jambi Information System using an object-oriented approach with Unified Modeling Language (UML) and Role-Based Access Control (RBAC). The research method used is a system design method which includes needs analysis, system modeling, relational database design, and interface prototype design. The results of the research resulted in a structured system architecture with twelve main classes, integrated database tables, and role-based access control mechanisms that separate administrator and user rights. The design of this system improves data integrity, access security, and the efficiency of organizational information management. In addition, the system is designed to support real-time data processing, minimize recording errors, and facilitate the process of monitoring and evaluating organizational activities in a sustainable manner. The implementation of this system also provides convenience in storing and searching data on athletes, coaches, as well as training and competition activities. Thus, this information system is expected to become an adaptive digital solution in supporting faster, more accurate, and data-based decision-making.