Jurnal Ilmiah Teknik Informatika dan Komunikasi
Judul Jurnal: Jurnal Ilmiah Teknik Informatika dan Komunikasi Inisial: JUITIK Frekuensi: Maret, Juli, dan November ISSN Cetak: 2827-8127 ISSN Online: 2827-7945 Ketua Dewan Redaksi: Toni Wijanarko Adi Putra, M.Kom. DOI: 10.55606 Penerbit: Lembaga Pengembangan Kinerja Dosen Jurnal Ilmiah Teknik Informatika dan Komunikasi E-ISSN: 2827-7945 (Online) / P-ISSN: 2827-8127 (print) 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 Ilmiah Teknik Informatika dan Komunikasi adalah untuk menyebarluaskan, mengembangkan dan memfasilitasi hasil penelitian mengenai bidang ilmu Teknik dan Informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang Teknik dan Informatika dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan. Jurnal ini terbit 3 kali dalam setahun, yaitu pada bulan Maret, Juli dan November. Diindeks oleh; Sponsor dan Mitra Jurnal;
Pengaruh Personal Branding Prilly Latuconsina terhadap Citra Produk Implora Urban Eyebrow Pencil pada Followers Tiktoknya
This study examines the influence of a public figure’s personal branding on the formation of product image on TikTok from a digital Public Relations perspective. The research focuses on Prilly Latuconsina’s personal branding and its relationship with the image of Implora Urban Eyebrow Pencil among her TikTok followers. A quantitative approach with a survey method was employed. The population consisted of more than 10.8 million followers of Prilly Latuconsina’s TikTok account. Using the Slovin formula with a 10% margin of error, 100 respondents were selected through accidental sampling. The respondents were female followers aged 17–30 years who actively engaged with Prilly’s content. Data were collected using a Likert-scale questionnaire and analyzed through simple linear regression with SPSS. The findings indicate that Prilly Latuconsina’s personal branding is perceived at a high level, while the image of Implora Urban Eyebrow Pencil is viewed positively. These results suggest that consistency, credibility, and authenticity of a public figure on social media play a crucial role in shaping product perceptions among audiences.
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Pengaruh Social media engagement dan Influencer relations terhadap Citra Produk Tomoro Coffee di Kalangan Pelanggan Gen Z di Jakarta Barat
The focus of this study is to analyze the role of social media engagement and influencer relations in influencing the product image of Tomoro Coffee among Generation Z in West Jakarta, based on the Source Credibility Theory and Uses and Gratifications Theory. These theories explain that communication effectiveness is influenced by the level of expertise and trustworthiness of the source, as well as the audience’s motivation in using media to fulfill their needs for information, entertainment, and social interaction, which ultimately contribute to the formation of product image in consumers’ minds. In the context of the rapidly growing digital marketing environment, user engagement on social media and relationships with influencers have become important communication strategies in building positive perceptions of a brand or product. This study applies a quantitative approach using a survey method involving 100 respondents from Generation Z in West Jakarta, who were selected using a purposive sampling technique based on specific criteria relevant to the research objectives. The research data were analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression analysis with the assistance of SPSS software. The results show that social media engagement and influencer relations partially and simultaneously have a significant effect on product image. These findings strengthen the relevance of Source Credibility Theory and Uses and Gratifications Theory in explaining the process of product image formation in the era of digital communication.
Hubungan Kualitas Kampanye Public Relations melalui Media Sosial terhadap Engagement pada Akun TikTok Cotti Coffee Tanjung Duren
This study aims to analyze the relationship between the quality of Public Relations campaigns on social media and the level of consumer engagement on the TikTok account of COTTI Coffee Tanjung Duren. In the context of digital communication, TikTok functions as an interactive platform that enables two-way communication between the brand and its audience. Campaign quality was measured through indicators of message clarity, content creativity, information consistency, and media effectiveness, while consumer engagement was assessed based on cognitive, emotional, and behavioral dimensions. This research employed a quantitative approach using a survey method involving 100 respondents selected through accidental sampling. Data were collected using a Likert-scale questionnaire and analyzed through the Chi- Square test with SPSS software. The results indicate that campaign quality was categorized as high (97%), while consumer engagement was categorized as good (93%). The p-value of 0.020 (p < 0.05) demonstrates a significant relationship between the two variables. These findings suggest that improving the quality of Public Relations campaigns on TikTok contributes to higher consumer engagement.
Strategi Komunikasi Pemasaran dalam Meningkatkan Kesadaran Merek
This study aims to analyze the marketing strategy implemented by Fivelements Retreat Bali in building brand awareness through the 7P marketing mix approach, which consists of product, price, place, promotion, people, process, and physical evidence. The background of this research is based on the rapid growth of the wellness tourism industry in Bali and the increasing competition among retreat service providers, which requires effective marketing strategies to strengthen brand awareness. This research uses a qualitative method with a descriptive approach. Data collection techniques were conducted through observation, interviews, and documentation related to the company’s marketing activities. The results of the study indicate that Fivelements Retreat Bali has implemented a fairly integrated marketing strategy through the seven elements of the marketing mix. The product and physical evidence elements become the main factors that differentiate the company from its competitors through the concept of a wellness retreat based on holistic healing and environmental sustainability. Meanwhile, the promotion element through digital media, along with service quality supported by professional people and well-organized processes, also strengthens the brand image among tourists who are interested in wellness tourism. Overall, the implementation of the 7P-based marketing strategy is considered effective in supporting the formation of brand awareness of Fivelements as an exclusive wellness retreat that offers a holistic experience for visitors.
Pengembangan Kemampuan Berpikir Kritis dan Kreatif Siswa Melalui Game Edukasi Berbasis Scratch: Pendekatan Pembelajaran Interaktif Berbasis Teknologi
Developing students’ critical and creative thinking skills is a central goal of 21st-century education; however, existing studies on game-based learning often emphasize engagement rather than systematically examining its impact on higher-order thinking within interactive programming environments. This study addresses this gap by investigating the effectiveness of Scratch-based educational games in fostering critical and creative thinking through an interactive learning approach. Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), a game was designed to promote problem-solving and creativity in a structured digital environment. Black-box testing confirmed the system’s functional reliability, while implementation results indicate increased student engagement and measurable improvements in higher-order thinking skills. The novelty of this study lies in integrating Scratch programming with a structured instructional design model to explicitly target cognitive skill development, rather than mere user engagement. The findings contribute theoretically to game-based learning research and offer practical insights for integrating interactive technology into classroom instruction to support 21st-century competencies.
Evaluasi Model Klasifikasi Motif Batik Lasem Menggunakan Xgboost, Lightgbm, Resnet50, dan Efficientnet-B0
Batik Lasem is recognized for its rich visual complexity, making the identification of its motifs a challenging task that requires reliable image classification techniques. This study aims to evaluate the performance of four classification models LightGBM, XGBoost, ResNet50, and EfficientNetB0 in distinguishing five Batik Lasem motifs: Gunung Ringgit, Kricak/Watu Pecah, Latohan, Nyuk Pitu, and Seritan. The dataset consists of 5,879 images obtained from Mendeley Data and processed through several stages, including normalization, image resizing, and label structuring. For feature-based models, EfficientNetB0 was used as a feature extractor, whereas ResNet50 and EfficientNetB0 were implemented as end-to-end deep learning architectures. Model performance was assessed using 5-Fold Cross-Validation with accuracy, precision, recall, and F1-score as evaluation metrics.The experimental results indicate that LightGBM achieved the highest performance with an average accuracy of 0.9611, followed by XGBoost with an accuracy of 0.9556. Both boosting models demonstrated strong stability in handling the diverse texture characteristics of batik patterns. ResNet50 achieved an accuracy of 0.9029 and maintained solid capability in learning intricate visual features. In contrast, EfficientNetB0 obtained an accuracy of only 0.2343, suggesting that the model requires further optimization to effectively adapt to the high variability of Batik Lasem motifs. Overall, the findings reveal that boosting-based approaches are more effective for batik image classification, offering a solid foundation for future studies focused on deep learning optimization, enhanced augmentation strategies, or the exploration of more advanced architectures.
Pemanfaatan Media Sosial Instagram sebagai Strategi Branding dalam Membangun Citra Perusahaan
In today’s technological development, companies that aim to build a strong image must implement effective branding strategies. One of the strategies that can be applied is utilizing social media, particularly Instagram, as a communication and promotional medium. Through the strategic use of Instagram, companies can build their image by presenting their strengths in an interactive way. The purpose of this study is to examine how Instagram is utilized as a branding strategy and its role in shaping corporate image. This research applies the Design Thinking method with data collection techniques including interviews, observations, questionnaires, and qualitative descriptive data analysis. The results show that the use of Instagram is able to strengthen the company’s image through consistent visual presentation and informative content. Furthermore, Instagram allows companies to reach a wider audience, thereby increasing their brand recognition. This approach allows companies to build stronger relationships with consumers and increase their loyalty.
Parents’ Understanding of Child Sexual Abuse: A Social Cognitive Theory Perspective
Child sexual abuse (CSA) poses serious risks to children’s physical, psychological, and social development, with parents playing a crucial role in risk recognition and prevention within the family. This study aims to describe parents’ understanding of child sexual abuse from the perspective of Social Cognitive Theory. The study employed a quantitative approach with a descriptive method. The population consisted of 376 parents of ninth-grade students at SMP Negeri 1 Megamendung. Respondents were selected using purposive sampling based on several criteria, including parents with children under 18 years old, active internet users, and individuals with basic literacy skills to complete the questionnaire independently. Based on these criteria, 216 parents participated in the study. Data were collected through a structured questionnaire using a five-point Likert scale and were complemented by brief interviews to obtain contextual information. Secondary data were obtained from scientific journal articles and other relevant documents. The data were analyzed using descriptive statistics, specifically the Weighted Mean Score method, to categorize the level of parents’ understanding across the measured dimensions. The results indicate that parents’ level of understanding of child sexual abuse is in the very high category, particularly in the knowledge dimension. These findings suggest that parents have a strong understanding of the basic concepts and various forms of child sexual abuse, which may help them recognize potential risks and consider preventive measures in everyday life.
Pengelompokan Wilayah Rawan Bencana Banjir di Kalimantan Barat Menggunakan Algoritma DBSCAN
Floods represent an environmental response to natural dynamics and ecological degradation accelerated by anthropogenic activities. West Kalimantan is one of the regions with a high level of vulnerability to flood disasters, particularly in several regencies with distinct geoclimatic characteristics. This study aims to cluster flood-prone areas using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, based on climate data and flood occurrences from 2019 to 2023. Secondary data were obtained from the Regional Disaster Management Agency (BPBD) and the Meteorology, Climatology, and Geophysics Agency (BMKG), comprising variables such as average temperature, air humidity, rainfall, wind direction at maximum speed, and duration of sunlight. The study's findings indicate that the optimal configuration of DBSCAN parameters (ε = 0.25; MinPts = 5) resulted in five regional clusters, with an Average Silhouette Coefficient value of 0.795, indicating a strong clustering structure. Spatial visualization using Google Data Studio revealed that Ketapang, Melawi, Sintang, Kapuas Hulu, and Sambas are regions with significant flood risk. These findings demonstrate the effectiveness of DBSCAN in supporting data-driven disaster risk mapping.
Film Dokumenter sebagai Media Komunikasi dan Literasi Budaya untuk Menguatkan Ketahanan Budaya Masyarakat Lokal
The flow of global information, without geographical boundaries, in the geo-cybernetic era can lead to cultural homogenization, posing a challenge for local communities to maintain unique identities. Paradoxically, broadcasting technology, a medium of globalization, can also serve as a strategic instrument for strengthening local culture. This study examines how the documentary film Batik Sukapura by Balaka Sinematografi, Tasikmalaya, served as a medium of cultural literacy that reinforced the local community’s cultural resilience. A qualitative case study approach was employed. Data were collected through in-depth interviews with filmmakers, cultural observers, craftspeople, and younger generations. The results show that (1) The Batik Sukapura documentary originated from filmmakers’ concerns about the survival of Batik Sukapura, feared to fade over time due to insufficient promotion; (2) the film conveys the philosophical values of Sukapura Batik through an accessible audio-visual narrative; (3) it contributes to cultural resilience by functioning as a digital archive, catalyst for cultural participation, and bridge for intergenerational communication. This study concludes that documentary films are an effective form of geocultural broadcasting in the cybernetic era. They function as “digital anchors” reinforcing local identity amid global trends, showing that cyber communication can be harnessed for preservation rather than erosion.
Dampak Media Sosial Terhadap Pola Interaksi Sosial Mahasiswa Universitas Negeri Medan
This study examines the impact of social media on the social interaction patterns of students at Universitas Negeri Medan using a qualitative approach through in-depth interviews with students from various faculties. The findings indicate that social media has significantly shifted communication patterns from face-to-face interaction to digital communication, with students spending an average of 6–7 hours per day online. While social media expands social networks and improves coordination efficiency, it also tends to reduce the depth of interpersonal relationships and may lead to emotional isolation among students. Furthermore, although social media facilitates collective mobilization in various social activities, participation is often symbolic rather than based on genuine involvement. In the context of citizenship, these changes highlight the importance of maintaining a balance between digital engagement and direct interaction. Strengthening digital literacy is essential to ensure responsible and productive use of social media in shaping positive student character, enhancing social awareness, and fostering more meaningful interpersonal relationships in academic and social life.
Fenomena “Yapping at Least” dalam Konten TikTok
The phenomenon of "yapping at least" has become a rapidly growing communication trend on social media, particularly TikTok. This communication style is characterized by long, spontaneous, expressive, and unstructured messages. This study aims to analyze the communication patterns of "yapping at least" content and identify the motives for using this content based on Uses and Gratifications Theory. The study used a qualitative approach with content analysis of five TikTok videos selected through purposive sampling based on certain criteria, such as high interaction rates and relevance to trends. The results show that "yapping at least" content is characterized by spontaneous, repetitive communication, and the use of informal language. Furthermore, this phenomenon also serves as a means of fulfilling the needs of entertainment, self-expression, and social interaction for creators and audiences. This study concludes that "yapping at least" is a form of digital communication adaptation influenced by social media dynamics and audience preferences for authentic and relatable content.
Konstruksi Naratif “Laki-Laki Problematis” dalam Hubungan Romantis
Tarra Khansa Savina, 210510220075, Communication Management Study Program, Faculty of Communication Sciences, Padjadjaran University. This research is titled “Narrative Construction of ‘Problematic Men’ in Romantic Relationships (A Netnographic Study of the ‘Man of the Year’ Trend on TikTok)” with Dr. Ira Mirawati, M.Si as the Primary Supervisor and Detta Rahmawan, S.I.Kom., MA. as the Co-Supervisor. This research aims to analyze the process of narrative construction regarding the figure of “problematic men” in romantic relationships through the Man of the Year trend on the social media platform TikTok. The study focuses on the transformation process of private personal experiences into public consumption, as well as the variations in collective audience responses to these narratives. This research employs a qualitative approach with a netnographic method to examine digital interactions and the storytelling practices of users. Data collection was conducted through participant observation of 49 primary video contents, alongside an in-depth analysis of comment sections and reaction videos. The results indicate that the Man of the Year trend functions as a digital theater facilitating self-disclosure through dramatic digital storytelling strategies. The researcher identified three major themes of male behavior constructed as problematic figures: Relational Manipulation, Relational Dominance, and Emotional Neglect. TikTok's algorithmic infrastructure acts as a lubricant that accelerates instantaneous social penetration, while the comment features and reaction videos create a safe space and "Digital Sisterhood" among women. Overall, this trend serves as a collective defense mechanism for women to redefine the standards of an ideal partner by establishing problematic behavior as a moral boundary in modern relationship dynamics.
Pengaruh Kampanye di Akun Instagram @Pialabyu terhadap Minat Menggunakan Provider Telekomunikasi by.U
Athallah Keanu Syahputra Fahmi, 210510220054, 2026, Communication Management Study Program, Faculty of Communication Science, Universitas Padjadjaran. This research is entitled “The Effect Of The Campaign On The @Pialabyu Instagram Account On Interest In Using The Telecommunications Provider by.U.” This research was supervised by Prof. Dr. Atwar Bajari, M.Si. as the main supervisor and Yuliani Dewi Risanti Sunarya, S.I.Kom., M.B.A. as the co-supervisor. This study aims to determine the influence of the Instagram campaign conducted through @pialabyu on the interest in using by.U provider through the two message-processing routes in the Elaboration Likelihood Model theory, namely the central route and the peripheral route. This study employed a quantitative explanatory approach with a survey method. Data were collected through questionnaires distributed to 150 respondents who were active followers of the Instagram account @pialabyu, and then analyzed using validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, t- test, F-test, and coefficient of determination with the assistance of IBM SPSS. The results show that both the central route and the peripheral route partially have a positive and significant effect on the interest in using by.U provider. Simultaneously, both dimensions also have a significant effect on the interest in using by.U provider. The coefficient of determination indicates that the central route and peripheral route variables are able to explain 41.7% of the variation in the interest in using by.U provider, while the remaining 58.3% is influenced by other factors outside this study. These findings indicate that informative and relevant message quality, as well as visual elements, entertainment, interaction, and account credibility, play an important role in shaping young audiences’ interest in by.U services.
Pengalaman Komunikasi Mahasiswa Perantau dalam Mengelola Privasi dan Keterbukaan Informasi Terhadap Orangtua
This study aims to understand the communication experience of migrant students in managing privacy and information disclosure to parents. This research is a qualitative research with a phenomenological approach through in-depth interview techniques to 6 migrant students of Padjadjaran University in Jatinangor. The results of the study show that migrant students tend to be selectively open to their parents. The information shared is generally related to academic activities, daily activities, and specific needs, while the information that is hidden includes personal problems, associations, certain health conditions, and emotional distress. This privacy management is carried out to maintain a harmonious relationship with parents while maintaining personal independence. In addition, factors such as geographical distance, communication intensity, and the use of digital media also affect the pattern of information disclosure. Students also develop certain communication strategies, such as information filtering and message adjustment, to avoid conflict and maintain parental trust. These findings show that privacy management is dynamic and contextual, influenced by cultural values, emotional closeness, and the level of maturity of individuals in making communication decisions.
The Influence of Brand Awareness on Purchase Decision Via Instagram
This research aims to analyze the influence of Brand Awareness on the Purchase Decision of Four Season Medicated Oil products on the Instagram account @fourseasonmedicatedoil. This study also seeks to provide a clearer understanding of how consumers recognize, recall, and perceive the brand through digital marketing activities on social media platforms. The research method used is descriptive quantitative with data collection conducted through questionnaires distributed to 100 respondents who are followers of the @fourseasonmedicatedoil account and have previously purchased the product, using purposive sampling techniques. The measurement scale applied in this study is the Guttman Scale to obtain firm and consistent responses from participants. Data analysis was conducted using descriptive analysis, normality test, linearity test, simple linear regression analysis, partial test (t-test), and coefficient of determination (R²) to measure the strength of the relationship between variables. The results of the research show that Brand Awareness has a positive and significant effect on Purchase Decision, indicating that higher brand awareness tends to increase the likelihood of consumers making purchasing decisions.
Kualitas Konten Edukasi Persiapan Masuk Perguruan Tinggi Negeri sebagai Media Komunikasi kepada Siswa
The use of social media as an educational communication medium has been increasing, particularly through the TikTok platform, which is widely utilized by students to obtain learning information. This study aims to analyze the quality of educational content related to preparation for entering State Universities (PTN) on the TikTok account @farrhnn as a communication medium for students. The research problem focuses on how content quality is assessed based on the dimensions of reader cognition, sharing motivation, persuasion, and decision making. This study employed a quantitative approach with a descriptive design. The research population consisted of all followers of the TikTok account @farrhnn, with the sample determined using the Lemeshow formula and random sampling technique, based on the criteria of high school or equivalent students who had accessed the content, resulting in a total of 271 respondents. Data were collected through a five-point Likert scale questionnaire that had been tested for validity (r > 0.361) and reliability (Cronbach’s Alpha = 0.70). The results indicate that the quality of educational content on the TikTok account @farrhnn falls into the “good” category, with an average score of 4.02. The sharing motivation dimension obtained the highest score, while the persuasion dimension received the lowest. These findings suggest that TikTok educational content functions effectively as a communication medium that is informative, relevant, and supports students’ decision-making in preparing for higher education. Therefore, it is recommended that content creators enhance the distinctiveness of their content to strengthen its persuasive power.
Penerimaan Google Classroom Menggunakan TAM pada Mahasiswa Universitas Garut
The advancement of digital-based learning has encouraged higher education institutions to optimize the use of online platforms, one of which is Google Classroom. However, the level of student acceptance of the system still needs to be examined to ensure its effectiveness in supporting the learning process. The purpose of this study is to analyze student acceptance at the Faculty of Communication and Information, Universitas Garut, using the Technology Acceptance Model (TAM) approach by applying a quantitative explanatory method involving 91 respondents determined using the Slovin formula and analyzed using Partial Least Square–Structural Equation Modeling (PLS-SEM). The findings indicate that Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) significantly increase Attitude Toward Using (ATU) and Behavioral Intention to Use (BIU), and have implications for improving Actual Use (AU). The model demonstrates moderate to strong predictive capability, with the strongest influence found in the relationship between Behavioral Intention to Use (BIU) and Actual Use (AU) (coefficient = 0.670).
Pemahaman Realistik dalam Penerimaan Diri pada Lirik Lagu “Apa yang Tak Bisa” Karya Band Rumahsakit (Analisis Semiotika Charles Sanders Peirce)
This study examines the supportive conditions and meaning of self-acceptance in the lyrics of the song "Apa Yang Tak Bisa" by the band Rumahsakit. The method used in this study is qualitative with a semiotic analysis approach by Charles Sanders Peirce. The data object for this study is the lyrics of the song "Apa Yang Tak Bisa." Data collection techniques were conducted through observation, documentation studies, and literature reviews, obtaining data from various sources relevant to the research. The results show four indicators of conditions supporting self-acceptance: realistic expectations, a stable self-concept, self-understanding, and a broad self-perspective. The conditions supporting self-acceptance dominant in the song lyrics are realistic expectations. Self-acceptance in the song lyrics is interpreted as a process of life experience formed through failure and limitations leading to positive reflection and understanding of life, accompanied by several conditions supporting self-acceptance: realistic understanding, a stable self-concept, self-understanding, and a broad self perspective. Realistic understanding is the dominant condition supporting the formation of the self-acceptance process.
Penerimaan Mahasiswa terhadap SIMAK Universitas Garut Menggunakan Technology Acceptance Model (TAM)
The advancement of digital-based learning has encouraged higher education institutions to optimize the use of online platforms, one of which is SIMAK. However, the level of student acceptance of the system still needs to be examined to ensure its effectiveness in supporting the learning process. This study aims to evaluate the acceptance of the Academic Information System (SIMAK) among students of the Faculty of Communication and Information at Universitas Garut by employing the Technology Acceptance Model (TAM). An explanatory quantitative approach was applied using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS, involving 91 respondents. The results indicate that Perceived Ease of Use (PEOU) significantly influences Perceived Usefulness (PU) and Attitude Toward Using (ATU). PU is found to significantly affect ATU as well as Behavioral Intention to Use (BIU). Furthermore, BIU significantly influences Actual System Use (AU), with the highest path coefficient of 0.744. The highest R² value is observed in the ATU construct at 0.717. Overall, the findings confirm that TAM is effective in explaining students’ acceptance of SIMAK in this study.
Makna Adaptasi Emosional Remaja dalam Lirik Lagu "Terbiasa" di YouTube: Analisis Semiotika Ferdinand de Saussure
Adolescence is a period of complex psychosocial development, particularly regarding emotional experiences such as disappointment, rejection, or loss. Music and song lyrics serve as mediums for emotional expression and management, helping adolescents understand and communicate their feelings. This study aims to analyze the meaning of emotional adaptation of adolescents represented in the lyrics of the song "Terbiasa" by Nathaniel Rivan published on YouTube. The approach used is Ferdinand de Saussure's semiotics, focusing on the relationship between signifier and signified. This research employs a qualitative descriptive method with data collection techniques including observation of song lyrics, literature review, and interviews with three informants (two listeners of the song and one communication psychology expert). The results show that the meaning of emotional adaptation in the song lyrics can be identified through three indicators: (1) emotion acceptance, reflected through acknowledgment of emotional state ("luka dalam hatiku ini", "ku tau") and normalization of feelings ("biar waktu yang menyembuhkan", "terbiasa"); (2) emotion regulation, reflected through efforts to manage emotional responses ("menyukai tanpa kata", "memandang rasa"); and (3) behavioral adjustment, reflected through changes in role and response in social interaction ("melihat dirimu kasih", "bahagia walau bahagia tanpaku", "apalah dayaku"). This research contributes to the development of semiotic studies in song lyric analysis and understanding of how music functions as a medium for self-reflection and emotional adaptation for adolescents.
The Effect of Content Marketing and Word of Mouth on Brand Awareness of Somethinc Calm Down Moisturizer Among Followers of TikTok @somethincofficial
The rapid growth of the skincare industry has increased competition between brands, making brand awareness an important factor in influencing consumer behavior, especially in digital media. TikTok is used as a strategic platform for content marketing and driving word of mouth (WOM). This study aims to analyze the influence of content marketing and WOM on brand awareness of Somethinc Calm Down Moisturizer among followers of the TikTok account @Somethincofficial. Using a quantitative approach with a survey method involving 100 respondents through purposive sampling, the results show that content marketing and WOM have a positive and significant effect, both partially and simultaneously, on brand awareness. Regression analysis shows that these two variables contribute 63% to the variation in brand awareness, while 37% is influenced by other factors. These findings emphasize the importance of engaging content strategies and positive WOM to increase brand awareness on TikTok. Therefore, companies need to optimize creative campaigns, interactive communication, and user-generated content to strengthen consumer recognition and maintain competitiveness in the skincare market.
Kekuatan Peer-Support: Komunikasi Antarsantri Membentuk Sikap Preventif terhadap Kekerasan Seksual
Sexual violence remains a serious threat within educational environments, including Islamic boarding schools. This study aims to analyze the influence of interpersonal communication among peers on students’ attitudes toward the prevention of sexual violence. The interpersonal communication variable is measured through indicators of openness, empathy, supportiveness, positiveness, and equality, while the attitude variable is assessed through cognitive, affective, and conative components. The findings indicate that, in general, the quality of interpersonal communication and students’ attitudes are categorized as good to very good. However, variations in students’ responses are still observed, particularly in terms of communication comfort and active involvement in prevention efforts. This suggests that the internalization of preventive attitudes has not yet been fully optimized within the boarding school environment. These findings are crucial for the development of targeted prevention programs in Islamic boarding schools, highlighting the need to foster open and supportive communication among students while further enhancing their awareness and engagement in preventing sexual violence. It is recommended that educational stakeholders focus on enhancing peer communication and positive reinforcement to build a more proactive and preventive environment for sexual violence prevention.
Anxiety dan Uncertainty dalam Dinamika Adaptasi Tokoh Moko: Analisis Teori AUM dalam Film Satu Kakak Tujuh Ponakan
This study aims to analyze the dynamics of anxiety and uncertainty in the adaptation process of the character Moko in the film Satu Kakak Tujuh Ponakan using the Anxiety/Uncertainty Management (AUM) theory. This research employs a qualitative approach with content analysis as the method, focusing on film as a media text. Data were collected through repeated viewing, dialogue transcription, and documentation of scenes that represent the psychological condition and social interactions of the main character. The findings reveal that Moko experiences culture shock due to a sudden change in social roles within the family, which leads to high levels of anxiety and uncertainty in the initial phase. This condition results in ineffective interpersonal communication and the emergence of conflicts. Over time, Moko demonstrates an adaptation process through emotional regulation, increased social understanding, and adjustments in communication style. From the perspective of AUM theory, successful adaptation is indicated by the individual’s ability to manage anxiety and uncertainty within optimal levels, allowing communication to become more effective and interpersonal relationships to develop more harmoniously. This study highlights that culture shock does not only occur in cross-cultural contexts but can also emerge in intra-cultural settings, such as changes in family structure and social roles.
Perancangan Desain Karakter untuk Buku Cerita Interaktif Anak Usia 8–10 Tahun Tentang Konservasi Sirip Hiu
Shark finning remains a serious threat to shark conservation and the balance of marine ecosystems in Indonesia. The low level of public awareness, particularly among elementary school children, is a significant factor that highlights the need for educational media tailored to their characteristics. This study aims to design characters for an interactive illustrated book as a visual literacy medium to introduce shark conservation to children aged 8–10. The method used is a visual communication design approach, including literature review, observation, interviews with the Samudra Bakti community, and questionnaires distributed to children. The result is an interactive illustrated book featuring communicative characters, engaging visuals, and interactive elements that support the learning process. This media is expected to effectively convey shark conservation messages and increase children’s interest in environmental issues
Analisis Memori Penyimpanan pada HP Keluarga Menggunakan Konsep Aljabar Matriks dan Vektor
This study discusses the analysis of storage memory usage from three smartphones within a family using the concepts of matrix and vector algebra. The collected data include total storage capacity, amount of used memory, and remaining storage on each device. The data are arranged in the form of tables and a 3×3 matrix so that they can be quantitatively compared. The results show that the first smartphone uses 41.2 GB out of 64 GB of storage, the second smartphone uses 43 GB out of 128 GB, and the third smartphone has the highest memory usage, consuming 84.3 GB out of 128 GB. Matrix-based analysis helps clearly present differences in storage capacity and memory usage, as well as identify devices that are approaching their storage limits. Therefore, matrix algebra facilitates better understanding and management of smartphone storage conditions. To further illustrate this, it also suggests analyzing the use of more efficient memory optimization techniques to prevent rapid storage overflow. Using a matrix algebraic approach, we can better model and manage memory, identifying devices that require more attention in terms of storage space management.
Perancangan Game 2D Multiplayer Berbasis Web “NusantaraBattle” dengan Konsep Permainan Tradisional Indonesia
Nusantara Battle” is a web-based 2D game with local multiplayer mode that adapts traditional Indonesian games into competitive mini-games. This research aims to design and develop a digital game that can be a medium of entertainment as well as a means of introducing and preserving the culture of traditional Indonesian games to the younger generation. The game was developed using Unity 2D with the C# programming language and implemented several game mechanisms such as Power Bar Mechanic, Rhythm Mechanic, Precision Timing Mechanic, and Curve Power Bar Mechanic. This game also provides custom key binding features and difficulty levels consisting of Easy, Medium, and Hard. The research methods used include game design, gameplay implementation, interface design, and alpha testing to evaluate system functions and playing experience. The results of the study show that “Nusantara Battle” was successfully developed with various traditional mini-games such as Panjat Pinang (Climbing the Pinang Tree), Sack Race, Tug of War, Stilts, Clogs, Eating Crackers, Nail Bottles, Sandal Throwing, Marbles, and Jumping Rope. This game successfully presents competitive gameplay that emphasizes precise timing, coordination, and interaction between players, while also serving as a digital medium for cultural recognition and preservation.
Pengaruh Media Edukasi Podcast terhadap Tingkat Kesadaran Ibu Muda tentang Kesehatan Anak
Current technological advances have made it easier to access information, including in the field of children's health. One form of digital media that is currently growing rapidly is Podcasts, namely internet-based audio broadcasts. Podcasts are a digital medium that can provide information, entertainment, and education for audiences. Podcasts are a medium that is not only entertaining, but also used to convey educational messages to a wide audience, for example, regarding children's health. A Podcast discussing children's health is available on the account of one public figure, namely Nikita Willy, Nikita Willy is a content creator who has a YouTube account called "Nikita Willy Official" which has a "Mom's Corner" segment. The Mom's Corner Podcast is presented communicatively as an educational media that focuses on family life, parenting patterns, and children's health. By using three main elements of educational media: Transformational Learning, Relational-based practice and Experiential Learning according to Fox and Singer. The purpose of this study is to examine in more depth the content of the Mom's Corner Podcast as an influential educational media in increasing young mothers' awareness of children's health. The method used in this study is a quantitative approach with a survey method. The results of this study indicate that the Mom's Corner Podcast successfully implemented educational media indicators by presenting an informative, relevant, and engaging Podcast. The relationship built between the audience creates trust and awareness in listening to the Mom's Corner Podcast.
Pembuatan Game Puzzle Berbasis Augmented Reality “Path Puzzle” pada Platform iOS
. "Path Puzzle" is an Augmented Reality-based puzzle game developed for iOS devices. It was created using Unity with the C# programming language and AR Foundation technology. In this game, players scan a real-world surface, place a playfield, then arrange and rotate path tiles to move a ball from the starting point to the end point. The game features levels, a level lock and unlock system, coin rewards, a ball skin shop, trail effects, a tutorial, a pause menu, and audio settings. This research aims to design and develop an AR-based puzzle game that combines real-space interaction with path-building mechanics. Testing was conducted using black-box testing, alpha testing, and beta testing methods to assess system functionality, user experience, game controls, interface appearance, and gameplay difficulty. The test results indicate that the game can run according to its main function and provides an interactive gaming experience through AR features, although some players need time to understand the tile arrangement and rotation mechanics.
Artificial Intelligence dalam Konten Edukasi Digital: Bias Informasi dan Tantangan Etika Komunikasi
The rapid growth of social media has transformed the consumption of educational content, increasingly shaped by Artificial Intelligence (AI) technologies such as chatbots, AI-generated voiceovers, and automated editing tools. This study examines information bias and communication ethics in AI-generated educational content on social media and their impact on information credibility. Using a qualitative descriptive approach, this research combines digital observation of educational content on TikTok and Instagram with a literature review. The data were analyzed through thematic analysis based on the Computer-Mediated Communication (CMC) framework. The findings indicate that while AI improves content production efficiency and visual attractiveness, it can also create information bias through oversimplification and limited academic verification. Ethical concerns arise from the lack of transparency in AI usage, as creators often fail to disclose AI-generated materials, potentially misleading audiences. This condition contributes to an epistemic trust dilemma, where users face difficulties distinguishing between verified human expertise and automated outputs. From a CMC perspective, AI functions not only as a technological tool but also as an active agent in shaping messages and audience perceptions. These findings highlight the need for stronger digital literacy and ethical transparency to preserve the credibility and integrity of educational information in the digital era.
Potensi Board Game Berbasis Role-Play sebagai Media Pembelajaran Sosial-Emosional pada Anak Usia Dini: Kajian Literatur
Empathy is a fundamental aspect of early childhood social-emotional development that plays a crucial role in shaping prosocial behavior. However, current teaching approaches in early childhood education settings tend to be verbal and instructional, making them less effective at facilitating concrete social experiences for children. This literature review aims to analyze the potential of role-play based board games as an effective social-emotional learning medium for children aged 5-6 years. The method used is a systematic literature review of relevant studies from various primary sources, covering theories of child development, empathy, social-emotional learning (SEL), role-play, board games, and principles of visual communication design. The study findings indicate that role-play-based board games have great potential to stimulate empathy and prosocial behavior in young children through structured social simulations, face-to-face interactions, and role-playing mechanisms. An appropriate visual communication design approach including expressive character illustrations, a bright color palette, and an intuitive layout also plays a role in enhancing children’s engagement in the play process. This study identifies a gap in the availability of locally developed empathy-based board games that are culturally appropriate for Indonesia, while also providing a conceptual foundation for the development of interactive, game-based learning media for young children.
Implementasi dan Evaluasi Swin Transformer untuk Pengenalan Ekspresi Wajah Berbasis Deep Learning pada Dataset Ck+
Facial Expression Recognition (FER) is a computer vision task that aims to identify human emotional states from facial images. Major challenges in FER include pose variation, illumination changes, inter-subject differences, and high visual similarity between certain emotion classes. Recent developments in Transformer-based architectures provide improved modeling of global feature relationships compared to conventional Convolutional Neural Networks (CNN). This study implements and evaluates Swin Transformer Tiny pretrained on ImageNet-1K and fine-tuned on the CK+ dataset consisting of five emotion classes: anger, disgust, fear, happy, and surprise. The experimental procedure includes preprocessing, ImageNet normalization, light data augmentation, and subject-independent split to prevent identity leakage. Weighted cross-entropy loss is applied to address class imbalance. Experimental results show a Top-1 Accuracy of 96.53% and a Macro F1-score of 97.10%. Confusion matrix analysis indicates strong classification performance with minor misclassification among visually similar emotions. The results demonstrate that Swin Transformer effectively captures both local and global facial representations in small-scale FER datasets.
Problematika Customer Relationship Marketing (Crm) dalam Mempertahankan Loyalitas dengan Perancangan Sop Pelayanan pada Pt. Cahaya Tritunggal Offset
This study discusses the challenges in implementing Customer Relationship Marketing (CRM) to maintain customer loyalty at PT Cahaya Tritunggal Offset, an offset printing company located in Sidoarjo. The main issues identified include undocumented customer data, unsynchronized communication among departments, overlooked customer complaints, and the absence of Standard Operating Procedures (SOPs) for customer service. This research aims to design a service SOP based on the IDIC model (Identify, Differentiate, Interact, Customize) developed by Peppers and Rogers as a solution to these CRM-related problems. The study employed a descriptive qualitative approach using in-depth interviews, observation, and documentation as data collection techniques. The findings reveal that the primary weaknesses lie in the Identify and Interact stages, which are not systematically implemented, resulting in financial losses, production delays, and inconsistent service quality. Meanwhile, the strengths found in the Differentiate and Customize stages still rely heavily on individual staff experience, making them vulnerable to employee turnover. The proposed SOP integrates all four dimensions of the IDIC model into standardized procedures, including customer data recording, service prioritization, structured complaint handling, and service personalization. Through consistent SOP implementation, the company is expected to minimize communication errors, improve operational efficiency, and strengthen customer loyalty in a sustainable manner. This study contributes to the development of marketing management knowledge, particularly in CRM strategies and SOP development for small and medium-sized enterprises (SMEs).
Menjual Kedekatan: Relasi Parasosial dan Komodifikasi Intimitas dalam Live Shopping TikTok
The rise of live shopping on social media has transformed commercial interactions into staged performances of intimacy, where selling is no longer limited to products but extends to the strategic display of personal closeness. Expressions such as “dear,” “bestie,” and other affective phrases are not merely linguistic choices, but symbolic devices that construct an illusion of interpersonal relationships. In this context, the boundary between authentic interaction and persuasive strategy becomes increasingly blurred. This study aims to examine how parasocial relationships are discursively constructed through language in live shopping content. Employing a qualitative approach, this research utilizes discourse analysis to investigate sellers’ utterances during live streaming sessions on digital platforms. The data consist of recorded live sessions and their transcriptions, which are analyzed to identify linguistic patterns that signify intimacy. The findings reveal that personal address, emotional expressions, and simulated two-way interactions function as dominant strategies in fostering perceived closeness between sellers and audiences. These practices indicate the commodification of intimacy, where emotional connection is not only constructed but also strategically exploited as a persuasive mechanism to stimulate consumption. Thus, live shopping operates as a non-neutral communicative space, embedded with economic interests that are subtly framed through narratives of emotional proximity.
Implementasi Weighted K-Nearest Neighbour untuk Klasifikasi Tingkat ISPA di Puskesmas Lhoksukon
Acute Respiratory Tract Infection (ARI) is a common disease in the community and requires appropriate treatment to determine its severity. This study aims to implement the Weighted K-Nearest Neighbor (WKNN) algorithm in classifying the severity of ARI and designing a web-based system as a supporting medium for medical personnel. The research data were obtained from patient medical records at the Lhoksukon Community Health Center in 2024–2025. The classification process was carried out through preprocessing stages, data labeling based on WHO and Ministry of Health references validated by medical personnel, data normalization, and calculations using the WKNN method with a K value of 3, Euclidean distance, and weighting. The test results using a confusion matrix showed that the WKNN method was able to classify the severity of ARI into mild, moderate, and severe categories with an accuracy level of 95.06%. Thus, the WKNN algorithm proved effective as an aid in the process of diagnosing the severity of ARI.
Analisis Kualitatif Kerentanan AI Agent terhadap Serangan Prompt Injection dan Strategi Mitigasinya
The development of Large Language Model (LLM)-based AI agents in enterprise environments is driving increased digital automation while expanding modern cybersecurity risks. One of the most discussed threats in AI security developments is prompt injection, a natural language-based instruction manipulation technique that can influence AI agent behavior and trigger corporate data leaks. This study aims to analyze AI agents' vulnerability to prompt injection attacks, identify their impact on corporate data security, and examine security mitigation strategies based on global industry standards. The study used a descriptive qualitative method with a threat modeling approach and contemporary cyber case studies. The results show that AI agents are highly vulnerable to direct and indirect prompt injection, especially in systems connected to tool-calling, cloud storage, corporate email, and internal databases. Analysis based on the OWASP Top 10 for LLM Applications and MITRE ATLAS frameworks shows that prompt injection is closely related to sensitive information disclosure, excessive agency, and data extraction in enterprise operational environments. Mitigation strategies such as context isolation, input validation, role-based access control, adversarial testing, and strengthening AI governance are used to reduce the risk of exploitation of modern AI agents. The research implications point to the need to develop AI security standards that are more adaptive to natural language-based threats in enterprise digital ecosystems.
Pembelajaran Kebudayaan Sumba melalui Augmented Reality untuk Siswa Kelas 5 Sekolah Dasar
Sumba culture is one of Indonesia's rich cultural heritages that needs to be introduced and preserved early by the younger generation. The lack of variety in learning media used by teachers has impacted students' low interest and enthusiasm for learning, thus requiring innovative and interactive learning media. This study aims to develop the Sumba Artika Augmented Reality (AR) application as an interactive learning medium to introduce Sumba culture to fifth-grade elementary school students while simultaneously enhancing students' interest and understanding of Indonesia's cultural diversity. The application was developed using the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The application was developed on an Android-based platform using marker-based tracking technology with Unity and Vuforia as the main development tools. Testing was conducted on 21 students at Global Obor Elementary School through two stages, namely alpha testing and beta testing. Alpha testing results revealed that the optimal marker size is 15×15 cm or 20×20 cm at a 90° camera angle with a distance of 35–40 cm to produce accurate marker detection and optimal AR display. Beta testing recorded an average user satisfaction rate of 92.90%, which falls into the "Comprehending" category based on the interval scale used. Based on these results, the Sumba Artika AR application is deemed suitable and effective as an interactive learning medium for enhancing students' understanding and interest in learning about Sumba culture.
Persepsi Generasi Z pada Konten Review Produk Make-up OMG oleh Akun Tiktok @tasyafarasya
The development of digital communication and the growing number of social media users, particularly on TikTok, have transformed how consumers obtain and interpret information about beauty products. One widely used source of information is review content created by beauty influencer s. This study aims to examine Generation Z consumers’ perceptions of OMG product review content posted by the @tasyafarasya account on TikTok. This study employs a descriptive qualitative method. Data were collected through in-depth interviews with 9 Generation Z informants from SMA Negeri 1 Parungkuda who had watched OMG product review content by Tasya Farasya. The results indicate that the perception-forming process occurs in three stages: exposure, attention, and interpretation. During the exposure stage, most informants discovered the content through TikTok’s For You Page (FYP ) or active searches. In the attention stage, direct product demonstrations and detailed explanations were the aspects that most captured the informants’ attention. Meanwhile, in the interpretation stage, the majority of informants viewed OMG as a high-quality local beauty product at an affordable price. This study demonstrates that review content on TikTok plays a role in shaping Generation Z consumers’ perceptions through the delivery of information that is easy to understand, engaging, and relevant to the audience’s needs.
Pendekatan Metode Naive Bayes pada Sistem Pakar untuk Diagnosa Penyakit ISPA di Puskesmas Depok 2 Sleman
Acute Respiratory Tract Infections (ARIs) are among the most common conditions encountered in primary care facilities, characterized by overlapping symptoms that can lead to subjectivity in the initial diagnosis. This study aims to develop a web-based expert system as a diagnostic aid for ARI using the Naive Bayes method at the Depok 2 Community Health Center in Sleman. The research method used was Research and Development (R&D), which included collecting patient medical records, designing a knowledge base, applying the Naive Bayes method, and testing the system. The data used consisted of disease type data and ARI symptom data, which were processed to generate diagnostic probability values. The results showed that the system was capable of providing an initial diagnosis of ARI based on symptoms entered by the user, with an accuracy rate of 86.6% based on a comparison of 30 patient records with the diagnostic results of medical personnel. The implementation of this system is expected to improve the accuracy, consistency, and efficiency of the initial ARI diagnosis process by medical personnel.
Pengaruh Desain Poster Film Pabrik Gula Uncut terhadap Minat Menonton Mahasiswa di Jember
This study intends to identify and evaluate how students in Jember Regency's viewing interest is affected by the Pabrik Gula Uncut film poster design. Film posters, as a kind of visual communication medium, are crucial in grabbing viewers' attention and influencing their first thoughts of a film. The Sociopsychological Theory, which highlights factors such as attitudes, perception, interests, and social opinions, and the Visual Communication Theory, which uses color, layout, visual components, and film identity as indicators for assessing poster design, are used in this study. A quantitative method and survey methodology are used in this study. To collect data, questionnaires were given to 87 student respondents in Jember Regency, who were chosen at random using probability sampling. To examine the study hypothesis, simple linear regression was employed to analyze the data. The results reveal a significance level of 0. 000 < 0. 05, suggesting that Ha is accepted and H0 is rejected. The 0. 800 coefficient of determination (R²) shows that the film poster design explains 80% of the difference in students' viewing interest, whereas other factors that are not part of this study account for the remaining 20%. As a result, Jember Regency students' interest in watching the Pabrik Gula Uncut film is greatly impacted by its poster design.
Teknik Meliput, Menulis, dan Menyajikan Berita Televisi
Television news remains one of the most influential forms of mass communication due to its ability to combine audio and visual elements in delivering information to the public. The increasing demand for fast, accurate, and credible information in the digital era requires journalists to master various stages of television news production. This study aims to examine the concept of television news and analyze the techniques of news gathering, news writing, and news presentation as interconnected processes in television journalism. The study employed a qualitative descriptive approach using a library research method. Data were collected from books, scientific journals, and other academic sources related to television broadcasting and journalism. The findings indicate that the quality of television news is strongly influenced by the effectiveness of news gathering, the clarity of scriptwriting, and the professionalism of news presentation. News gathering serves as the foundation for obtaining accurate facts, news writing transforms information into understandable messages, and news presentation ensures that information is effectively communicated to audiences. These three processes are interdependent and collectively determine the credibility and quality of television news programs. The study implies that journalists and broadcasting practitioners need to develop balanced competencies in gathering, writing, and presenting news to produce informative, accurate, and trustworthy television content.
Pengaruh Iklan Tiktok Skintific Cushion Terhadap Minat Beli Mahasiswi Di Jember
This study is motivated by the increasing use of social media as a digital marketing medium, particularly TikTok, which is effective in delivering advertising messages to the public, including female university students. This study aims to determine the effect of Skintific Cushion TikTok advertisements on the purchase intention of female university students in Jember Regency. The study employs advertising theory, the AIDA model (Attention, Interest, Desire, Action), and cybernetics theory. Advertising theory explains the elements that influence advertising effectiveness, the AIDA model describes the stages of consumer responses after viewing advertisements, while cybernetics theory explains the message delivery process that influences consumer behavior. This research uses a quantitative method with a survey approach. Data were collected through Likert-scale questionnaires distributed to 94 female university students from various universities in Jember Regency, selected using purposive sampling technique. Data analysis was conducted using validity tests, reliability tests, classical assumption tests, and simple linear regression using SPSS 25. The results show that Skintific Cushion TikTok advertisements have a significant effect on the purchase intention of female university students in Jember, with a significance value of less than 0.05. The R Square value of 0.587 indicates that advertisements explain 58.7% of the influence on purchase intention, while the remaining 41.3% is influenced by other factors. Thus, TikTok advertisements are proven to have a significant impact on students’ purchase intention.
Analisis Sentimen Kepuasan Publik terhadap Pembaruan Alun-Alun Jember Menggunakan Metode Random Forest
The renovation of Jember Alun-Alun has sparked a variety of responses from the public, many of which have been expressed on social media, necessitating an automated method to efficiently analyze these public opinions. This study aims to analyze public sentiment toward the renovation of Jember Alun-Alun using the Random Forest algorithm and to identify the distribution of sentiment into three categories: positive, negative, and neutral. Data was collected via web scraping techniques using APIs from the X and TikTok platforms with the keywords #jembernusantara and #alunalunjember during the period from June 6, 2024, to February 20, 2025, yielding a total of 1,420 comments, which were then processed through the stages of cleaning, case folding, tokenization, normalization, stopword removal, stemming, and feature weighting using TF-IDF, as well as class balancing with SMOTE and model evaluation using K-Fold Cross Validation (K=2 to K=10). The test results showed that the Random Forest model was able to classify sentiment with an accuracy ranging from 89% to 96%, with the highest accuracy of 96% at K=6, K=8, and K=10, and the best F1-Score for the negative class reaching 100%. It is therefore concluded that the combination of the Random Forest and SMOTE methods is effective for analyzing public sentiment in social media text data.
Perancangan Chatbot Layanan Informasi Penerimaan Mahasiswa Baru (PMB) Istek Widuri menggunakan Metode NLP (Natural Language Processing)
New Student Admission (NSA) is a strategic process in the academic cycle of higher education institutions that requires fast, accurate, and easily accessible information services. However, the information service for NSA at the Institut Sosial and Teknologi Widuri Jakarta is still dominated by manual methods and one-way media, resulting in delayed responses, a high workload for admission officers, and limited interaction with prospective students. These conditions may reduce service quality and user satisfaction in the digital era, which demands efficiency and responsiveness. This study aims to design an NSA information service system based on a chatbot by utilizing Natural Language Processing (NLP) technology to support interactive two-way communication. The chatbot is designed to understand user queries in natural language, provide relevant and contextual responses, and operate without time constraints. The research methodology includes system requirements analysis, literature review, and system design using Unified Modeling Language (UML) to model system workflows and functionalities in a structured manner. The expected outcome of this study is a chatbot system design capable of automatically and consistently responding to prospective students’ inquiries, thereby reducing the workload of admission officers and improving the quality of information services. The implementation of an NLP-based chatbot is expected to serve as an innovative solution to support the digital transformation of academic services, enhance operational efficiency, and strengthen the competitiveness of the Institut Sosial and Teknologi Widuri Jakarta in higher education.
Pengaruh Keterbukaan Penyampaian Pendapat dan Validasi Emosi terhadap Ketahanan Remaja Menghadapi Ketidakpastian pada Masa Emerging Adulthood
The transitional developmental stage of emerging adulthood is marked by a number of life transitions and uncertainties. Young people must adjust to obstacles in the areas of education, work, social interactions, and future planning at this time. The quality of parent-child connections is one of several elements that affect the capacity to deal with uncertainty. Adolescents' psychological preparedness for handling unexpected situations is largely influenced by open communication of thoughts and emotional support from their parents. The purpose of this study is to investigate how teenagers' resilience in the face of uncertainty during the emerging adulthood era is impacted by open expression of opinions and parental emotional affirmation. 138 respondents in the emerging adulthood age group participated in the survey method used in this quantitative investigation. A straightforward random sampling method was used to choose the sample. With the use of IBM SPSS Statistics, validity and reliability tests, multiple linear regression, partial tests (t-test), simultaneous tests (F-test), and the coefficient of determination were used to analyse the data. The findings show that adolescents' resilience in dealing with uncertainty during emerging adulthood is positively and significantly impacted by both partial and simultaneous open voicing of opinions and emotional affirmation from parents. These results imply that parents' emotional support and open communication are crucial in enhancing teenagers' capacity to deal with uncertainty and obstacles in life.
Peran Internal Communication PT Adhi Karya (Persero) Tbk. dalam Penguatan Implementasi Program Influencer ADHI untuk Meningkatkan Citra dan Reputasi Perusahaan di Media Sosial
This study aims to analyze the role of Internal Communication at PT Adhi Karya (Persero) Tbk in strengthening the implementation of the ADHI Influencer Program as an effort to enhance the company’s image and reputation on social media. This research employed a descriptive qualitative approach with data collected through observation, in-depth interviews, and literature study. The analysis was conducted based on four stages of Public Relations, namely defining public relations problems, planning and programming, taking action and communicating, and evaluating the program. The findings show that Internal Communication plays an important role in designing strategies, selecting and assisting internal talents, preparing scripts, supervising content production, and evaluating audience responses. The ADHI Influencer Program is able to transform technical corporate messages into lighter, more communicative, and more human-centered content through employee involvement as corporate communicators. Audience responses through likes, comments, and shares indicate that social and infrastructure-related content has the potential to strengthen the company’s positive image. Therefore, the ADHI Influencer Program serves as a relevant internal communication strategy for building corporate reputation in the digital space.
Evaluasi Efektivitas Sistem Pengelolaan Data Servis dan Sparepart pada Bengkel Mobil Sukses Abadi Menggunakan Metode PIECES
This study aims to evaluate the effectiveness of the Service and spare parts data management system at Bengkel Mobil Sukses Abadi. The evaluation was conducted to determine the extent to which the system supports workshop operational processes in terms of data recording, Information management, and work Efficiency improvement. The research method used is the PIECES Framework, which consists of six evaluation dimensions: Performance, Information, Economy, Control, Efficiency, and Service. Data were collected through questionnaires distributed to 25 respondents who are direct users of the system in the workshop environment. The results show that the Grand Mean value of 3.34 falls into the Fairly Good category. The highest-scoring dimension is Economy (3.51), followed by Information (3.48) and Performance (3.46), all of which are categorized as Good. Meanwhile, Control (3.23), Service (3.20), and Efficiency (3.15) are categorized as Fairly Good. These findings indicate that the system is sufficiently effective in supporting workshop operations; however, several aspects still need improvement, particularly in data Control, work process Efficiency, and user Service quality.Overall, the implemented data management system has provided useful benefits for workshop operations, but further development is still required to achieve a more optimal and efficient system Performance.
Pengaruh Intensitas Terpaan Konten Healthy Lifestyle di Tiktok Terhadap Persepsi Pentingnya Gaya Hidup Sehat pada Mahasiswa
TikTok has become a major platform for promoting healthy lifestyle content among young people, including college students. This study aims to examine the influence of exposure to healthy lifestyle content on TikTok on students' perceptions of the importance of a healthy lifestyle. The study employed a quantitative explanatory approach. Data were collected through an online survey using a five-point Likert scale questionnaire among 196 active students at Jakarta State University, graduating in 2024 and 2025, determined using the Yamane formula. The research instrument was declared valid through the Pearson Product Moment test and reliable with Cronbach's Alpha values ​​of 0.882 (variable X) and 0.906 (variable Y). Data were analyzed using simple linear regression after meeting the classical assumptions (normality, heteroscedasticity, and autocorrelation). The results showed that the intensity of exposure to healthy lifestyle content on TikTok had a positive and significant effect on students' perceptions of the importance of a healthy lifestyle, with a regression equation of Y = 8.214 + 0.765X, a coefficient of determination (R²) of 0.523, and a calculated t-value of 14.164 > t-table of 1.972 at a significance level of 0.000. This finding means that 52.3% of the variation in the perception of the importance of a healthy lifestyle is explained by the intensity of exposure to healthy lifestyle content on TikTok, while 47.7% is influenced by other factors outside the model. These results explain the mechanism by which health perceptions are formed through social media.
Moralitas di Ujung Jari: Menelaah Dampak Teknologi Informasi pada Generasi Z
This study aims to analyze the impact of information technology on the morality of Generation Z in the digital era and to identify strategies for minimizing its negative effects. The research employed a qualitative library research approach by reviewing relevant scholarly journals, books, articles, and other academic sources. The collected data were analyzed using content analysis to examine the influence of information technology on the development of young people's moral values and character. The findings indicate that information technology provides numerous benefits, including easier access to knowledge and information, improved digital literacy, enhanced creativity and innovation, and broader opportunities for communication and social participation. However, uncontrolled technology use may also generate negative consequences, such as exposure to inappropriate content, the spread of misinformation, cyberbullying, consumerist behavior, digital addiction, and declining social interaction and empathy. Therefore, collaborative efforts among families, schools, communities, and the government are essential to strengthen digital literacy, character education, and responsible technology use. These efforts are expected to enable Generation Z to utilize digital technology wisely, ethically, and responsibly while maintaining strong moral values in their daily lives.
Prediksi Hasil Panen Padi di Provinsi Bali Menggunakan Metode CNN-LSTM Berdasarkan Data Citra Satelit
Rice production in Bali Province continues to face pressure due to land conversion and variations in agroecological conditions across districts, necessitating an accurate harvest prediction system as a basis for food planning. This study aims to develop a rice yield prediction model using a CNN-LSTM architecture that integrates Landsat 8 satellite imagery, CHIRPS rainfall data, and BPS Bali Province production data for the period 2018–2025. The data were processed through a series of preprocessing stages and modeled using three CNN-LSTM architecture scenarios evaluated with RMSE and MAE metrics. The results show that Scenario 1 achieved the best performance with an RMSE of 2,567.99, MAE of 1,853.56, and an error percentage of 33.96%. The model was generally able to follow the production trend patterns of rice across all nine districts/cities in Bali Province, although deviations remained under extreme fluctuation conditions. This study demonstrates the potential of integrating remote sensing data and CNN-LSTM architecture in supporting a more adaptive and accurate agricultural prediction system.