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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal CoreIT Syntax Literate: Jurnal Ilmiah Indonesia JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Nasional Komputasi dan Teknologi Informasi Jesya (Jurnal Ekonomi dan Ekonomi Syariah) TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Majalah Ilmiah UNIKOM Infotronik : Jurnal Teknologi Informasi dan Elektronika JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Digit : Digital of Information Technology Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Pengabdian Masyarakat Indonesia Asean Journal of Science and Engineering (AJSE) International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) International Journal of Research and Applied Technology (INJURATECH) Jurnal Locus Penelitian dan Pengabdian IJCOSIN : Indonesian Journal of Community Service and Innovation Inkubis: Jurnal Ekonomi dan Bisnis Economics and Business Journal Eduvest - Journal of Universal Studies Jurnal Pengabdian Masyarakat Tekno ASEAN Journal for Science and Engineering in Materials Technologia Journal Big Data Analytics and Data Science Cyber Security and Network Management Jurnal Nasional Komputasi dan Teknologi Informasi Curricula: Journal of Curriculum Development
Bobi Kurniawan, Bobi
Universitas Komputer Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

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Computer Vision Analysis for Traffic Monitoring and Road Safety in Smart City Concept Luki Ishwara; Hasbu Naim Syaddad; Andi Agus Salim; Bobi Kurniawan; Adam Mukharil Bachtiar; Ednawati Rainarli
Technologia Journal Vol. 3 No. 1 (2026): Technologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vk562576

Abstract

Rapid urban growth and rising traffic complexity require Smart City solutions that move beyond passive CCTV toward intelligent, real-time traffic management. This study examines how computer vision–based analytics contribute to road safety when integrated into an Intelligent Transportation System (ITS). A quantitative quasi-experimental design was applied across multiple intersections using a 12-month before–after window. Data were collected from video analytics (vehicle and pedestrian detection, tracking, violations, road conditions), adaptive signal logs, crash and injury records, near-miss indicators, and contextual variables such as weather and traffic volume. Analysis combined perception validation (mAP, tracking accuracy), time-series operational assessment, and Difference-in-Differences modeling to estimate safety impacts. Results show high perception reliability (mAP > 0.85) and significant operational improvements, including a 33% reduction in waiting time and 35% shorter queues. More importantly, red-light violations decreased by 39%, near-miss events by 45%, crash frequency by 42%, and severity index by 37%. The findings indicate a causal pathway from vision-based perception to adaptive control and enforcement, leading to measurable safety gains. The study concludes that computer vision serves as a safety governance instrument within Smart City ITS when detection outputs are tightly coupled with intervention mechanisms.   
The Role Of The Borsom System In Shaping The Relationship Between Income And Welfare Of Rural Palm Sugar Artisans: An Islamic Economics Perspective Novia Purnamasari; Umi Narimawati; Bobi Kurniawan; Agus Riyanto; Raeni Dwisanty
Jesya Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2559

Abstract

This study examines the mechanisms through which the borsom system shapes the relationship between income and economic welfare among rural palm sugar artisans from an Islamic economic perspective. Using a qualitative approach, data were collected through in-depth interviews, field observations, and documentation involving palm sugar artisans in Banyuwangi Village, Sukabumi Regency. The findings indicate that increased income does not automatically translate into improved household welfare, as most earnings are absorbed by basic consumption needs and production continuity. In conditions of limited access to infrastructure, markets, and formal Islamic financial institutions, the borsom system emerges as an informal economic institution embedded in patron–client relations between artisans and collectors. From an Islamic economic perspective, borsom functions as a short-term economic buffer grounded in the value of mutual assistance (ta‘āwun), enabling production stability and household survival. However, prolonged reliance on this system reinforces structural dependence, weakens bargaining power, and constrains the achievement of sustainable welfare (falah). This study contributes by integrating rural sociological analysis with Islamic economic principles to explain how informal institutions simultaneously support and limit rural economic welfare. Strengthening inclusive Islamic financial institutions and diversifying rural livelihoods are essential for promoting more equitable and sustainable welfare outcomes.
Transformasi Digital Manajemen Gudang pada Koperasi Perikanan dalam Ekosistem Industri Terintegrasi Harun AS; Muhammad Helmi; Umi Nerinawati; Agus Kurniawan; Bobi Kurniawan
Jesya Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2561

Abstract

Transformasi digital menjadi isu strategis dalam penguatan manajemen gudang dan integrasi rantai pasok industri perikanan, khususnya pada koperasi perikanan yang beroperasi dalam ekosistem industri terintegrasi. Penelitian ini bertujuan untuk mengeksplorasi bagaimana transformasi digital manajemen gudang dijalankan serta bagaimana peran kapabilitas manajerial dalam memediasi pemanfaatan sistem digital pada koperasi perikanan di Indonesia. Penelitian menggunakan pendekatan kualitatif eksploratif dengan desain studi kasus tunggal. Data dikumpulkan melalui wawancara mendalam, observasi lapangan, dan analisis dokumen pada satu koperasi perikanan terpilih. Hasil penelitian menunjukkan adanya perbedaan pola pemanfaatan sistem digital, yaitu antara penggunaan yang bersifat administratif-simbolik dan pemanfaatan yang bersifat strategis dalam mendukung pengambilan keputusan manajerial berbasis data. Transformasi digital manajemen gudang tidak bersifat deterministik, melainkan sangat dipengaruhi oleh kapabilitas manajerial, khususnya kemampuan manajer dalam melakukan sensing, seizing, dan transforming terhadap informasi digital yang tersedia. Selain itu, penelitian ini menemukan adanya tantangan integrasi ekosistem yang bersumber dari kurangnya sinkronisasi kebijakan dan inisiatif digitalisasi antar pemangku kepentingan. Secara teoretis, penelitian ini berkontribusi pada penguatan perspektif sosio-teknis dan kapabilitas manajerial dalam kajian transformasi digital pada organisasi kolektif. Secara praktis, temuan penelitian menegaskan pentingnya pendekatan transformasi digital yang berorientasi pada penguatan kapabilitas manajerial, pengembangan sistem yang sederhana dan interoperabel, serta pembentukan ekosistem pembelajaran kolaboratif bagi koperasi perikanan.
Integration of Online Queue System and Electronic Medical Records to Improve Operational Efficiency in a Primary Clinic Martin Agusta; Umi Narimawati; Bobi Kurniawan; Agus Riyanto; Raeni Dwisanty
Jesya Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2589

Abstract

This study aims to analyze the integration of an online queue system and Electronic Medical Records (EMR) as a managerial strategy to enhance operational efficiency at Klinik dan Laboratorium Pratama Muhammad Abdus Syafi (MAS). A descriptive qualitative approach was employed, with data collected through observation, in-depth interviews, and documentation review. The findings indicate that integrating the two digital systems significantly reduced patient waiting times, improved service flow, and minimized administrative duplication. From an operational management perspective, the integrated system optimized resource utilization, increased healthcare staff productivity, and strengthened data-driven decision-making. Digital transformation through system integration demonstrably improved operational efficiency and organizational performance stability. Successful implementation was strongly influenced by human resource readiness, information technology governance, and adequate infrastructure support. This study was conducted within a single institution using a qualitative approach, which limits the generalizability of the findings. This research provides empirical evidence on digital integration strategies in primary healthcare facilities and highlights digital transformation as a long-term managerial approach to achieving operational excellence and organizational sustainability.
Profil Literasi Digital Mahasiswa Berdasarkan Empat Pilar Kominfo Menggunakan Algoritma K-Means Muhamad Nawawi; Ridwan Zulkifli; Dony Waluya Firdaus; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10375

Abstract

Abstrask - Transformasi digital menuntut mahasiswa memiliki literasi digital yang tidak hanya mencakup kemampuan teknis, tetapi juga kesadaran etika dan keamanan digital. Penelitian ini bertujuan untuk memetakan tingkat literasi digital mahasiswa serta mengidentifikasi karakteristik klaster menggunakan algoritma K-Means. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap mahasiswa, berdasarkan empat dimensi literasi digital, yaitu digital skills, digital culture, digital ethics, dan digital safety. Hasil analisis K-Means menunjukkan terbentuknya dua klaster utama, yaitu klaster literasi digital matang (Cluster 1) dan klaster literasi digital belum matang (Cluster 2). Cluster 1 memiliki nilai rata-rata literasi digital sebesar 4,57, sedangkan Cluster 2 sebesar 3,88. Dimensi dengan perbedaan paling signifikan antar klaster adalah digital safety (selisih 0,77) dan digital ethics (selisih 0,72). Analisis karakteristik responden menunjukkan bahwa mahasiswa angkatan aktif (2022–2024) lebih banyak berada pada Cluster 1 (hingga 67%), dibandingkan mahasiswa baru (2025) dan mahasiswa over study (2021) yang didominasi Cluster 2. Selain itu, mahasiswa luar Jawa Barat memiliki proporsi literasi digital matang yang lebih tinggi (64%) dibandingkan mahasiswa asal Jawa Barat (51%). Temuan ini menegaskan bahwa literasi digital mahasiswa bersifat dinamis dan kontekstual, sehingga penguatan literasi digital di perguruan tinggi perlu difokuskan pada aspek etika dan keamanan digital secara berkelanjutan.Kata kunci: literasi digital; mahasiswa; K-Means clustering; digital ethics; digital safety; Abstract - Digital transformation demands that students possess digital literacy encompassing not only technical skills but also ethical awareness and digital security. This study aims to map the level of digital literacy of students and identify cluster characteristics using the K-Means algorithm. The study employed a quantitative approach with a student survey method, based on four dimensions of digital literacy: digital skills, digital culture, digital ethics, and digital safety. The results of the K-Means analysis indicate the formation of two main clusters: a mature digital literacy cluster (Cluster 1) and an immature digital literacy cluster (Cluster 2). Cluster 1 has an average digital literacy score of 4.57, while Cluster 2 has an average digital literacy score of 3.88. The dimensions with the most significant differences between clusters are digital safety (difference 0.77) and digital ethics (difference 0.72). An analysis of respondent characteristics shows that active students (2022–2024) are predominantly in Cluster 1 (up to 67%), compared to new students (2025) and overstudy students (2021), who are predominantly in Cluster 2. Furthermore, students from outside West Java have a higher proportion of mature digital literacy (64%) than students from West Java (51%). This finding confirms that student digital literacy is dynamic and contextual, thus strengthening digital literacy in higher education requires a continuous focus on digital ethics and security.Keywords: digital literacy; students; K-Means clustering; digital ethics; digital safety;
Authenticity, Ethics, and Public Acceptance in AI-Generated Music: An Integrative Review Ahmad Budi Sulistioyuwono; Umi Narimawati; Bobi Kurniawan
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 2 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i2.356

Abstract

Background: The rapid advancement of artificial intelligence (AI) in music creation has intensified debates regarding artistic authenticity, ethical risks, and the legitimacy of algorithmically generated works within the global creative ecosystem. Objective: This study aims to map how current literature conceptualizes authenticity in AI-generated music, identify key ethical risks, and examine the interrelationship between authenticity perceptions, ethical legitimacy, and public acceptance. Methods: An integrative literature review was conducted following Snyder guidelines, analyzing publications from 2020–2025 sourced from Scopus, Google Scholar, and ScienceDirect. A total of 20 primary sources were selected based on relevance to three predetermined themes: authenticity, ethical risks, and public acceptance. Thematic analysis was applied to synthesize arguments across these themes. Results: Findings reveal that authenticity concerns center on emotional depth, creative originality, and listener perception bias against AI-labeled works. The main ethical risks include copyright infringement through unauthorized dataset use, ambiguous authorship attribution, unfair compensation structures, disruption of creative labor markets, cultural bias in training datasets, and insufficient transparency in generative processes. These issues directly affect how audiences and industry stakeholders evaluate the legitimacy and acceptance of AI-generated music. Conclusion: Public acceptance of AI-generated music depends on addressing authenticity challenges and ensuring ethical, accountable practices. This study contributes a conceptual synthesis linking perceived authenticity, ethical legitimacy, and public acceptance, emphasizing the need for regulatory frameworks that enable AI to complement rather than displace human creativity.
Kepemimpinan berorientasi instruksi dan kinerja guru di lembaga Raudhatul Athfal Tarso Tarso; Umi Narimawati; Bobi Kurniawan
Curricula: Journal of Curriculum Development Vol. 5 No. 1 (2026): Curricula: Journal of Curriculum Development
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/curricula.v5i1.95927

Abstract

The improvement of educational quality in Raudhatul Athfal (RA) institutions depends heavily on leadership effectiveness and educators' competence in managing meaningful learning processes. This study examines the influence of learning-oriented leadership on teacher performance within RA institutions across Kulon Progo Regency. Employing a quantitative approach with an ex-post facto causal-correlational design, data were collected from 120 teachers using a saturated sampling (census) technique. The research instruments consisted of validated five-point Likert-scale questionnaires, and the data were analyzed using simple linear regression. Descriptive statistics indicate that both learning-oriented leadership and teacher performance range from moderate to high, although there are significant disparities across institutions. Dimensional analysis reveals that while direct learning facilitation is strong, external collaboration (boundary spanning) and child development assessment remain underdeveloped. Inferential statistics confirm a significant positive influence. These findings suggest that leadership prioritizing internal learning creates a supportive professional environment. This study recommends networking training for principals and assessment workshops for teachers to reduce educational quality disparities in the region.
Profil Literasi Digital Mahasiswa Berdasarkan Empat Pilar Kominfo Menggunakan Algoritma K-Means Muhamad Nawawi; Ridwan Zulkifli; Dony Waluya Firdaus; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 1 (2026): Februari, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.212

Abstract

Abstrask - Transformasi digital menuntut mahasiswa memiliki literasi digital yang tidak hanya mencakup kemampuan teknis, tetapi juga kesadaran etika dan keamanan digital. Penelitian ini bertujuan untuk memetakan tingkat literasi digital mahasiswa serta mengidentifikasi karakteristik klaster menggunakan algoritma K-Means. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap mahasiswa, berdasarkan empat dimensi literasi digital, yaitu digital skills, digital culture, digital ethics, dan digital safety. Hasil analisis K-Means menunjukkan terbentuknya dua klaster utama, yaitu klaster literasi digital matang (Cluster 1) dan klaster literasi digital belum matang (Cluster 2). Cluster 1 memiliki nilai rata-rata literasi digital sebesar 4,57, sedangkan Cluster 2 sebesar 3,88. Dimensi dengan perbedaan paling signifikan antar klaster adalah digital safety (selisih 0,77) dan digital ethics (selisih 0,72). Analisis karakteristik responden menunjukkan bahwa mahasiswa angkatan aktif (2022–2024) lebih banyak berada pada Cluster 1 (hingga 67%), dibandingkan mahasiswa baru (2025) dan mahasiswa over study (2021) yang didominasi Cluster 2. Selain itu, mahasiswa luar Jawa Barat memiliki proporsi literasi digital matang yang lebih tinggi (64%) dibandingkan mahasiswa asal Jawa Barat (51%). Temuan ini menegaskan bahwa literasi digital mahasiswa bersifat dinamis dan kontekstual, sehingga penguatan literasi digital di perguruan tinggi perlu difokuskan pada aspek etika dan keamanan digital secara berkelanjutan. Kata kunci: literasi digital; mahasiswa; K-Means clustering; digital ethics; digital safety; Abstract - Digital transformation demands that students possess digital literacy encompassing not only technical skills but also ethical awareness and digital security. This study aims to map the level of digital literacy of students and identify cluster characteristics using the K-Means algorithm. The study employed a quantitative approach with a student survey method, based on four dimensions of digital literacy: digital skills, digital culture, digital ethics, and digital safety. The results of the K-Means analysis indicate the formation of two main clusters: a mature digital literacy cluster (Cluster 1) and an immature digital literacy cluster (Cluster 2). Cluster 1 has an average digital literacy score of 4.57, while Cluster 2 has an average digital literacy score of 3.88. The dimensions with the most significant differences between clusters are digital safety (difference 0.77) and digital ethics (difference 0.72). An analysis of respondent characteristics shows that active students (2022–2024) are predominantly in Cluster 1 (up to 67%), compared to new students (2025) and overstudy students (2021), who are predominantly in Cluster 2. Furthermore, students from outside West Java have a higher proportion of mature digital literacy (64%) than students from West Java (51%). This finding confirms that student digital literacy is dynamic and contextual, thus strengthening digital literacy in higher education requires a continuous focus on digital ethics and security. Keywords: digital literacy; students; K-Means clustering; digital ethics; digital safety;
Co-Authors Abd. Rasyid Syamsuri Adam Mukharil Bachtiar Agus Kurniawan Agus Riyanto Agus Riyanto Ahiase, Godwin Ahmad Budi Sulistioyuwono Alviana, Sopian Andi Agus Salim Andi Agus Salim Andrean George Wibisono Ari Prayoga Asri Fianti Asmar Budi Hartono Budi Herdiana Burhanuddin Burhanuddin Buston Kholik Dostnazar Ximmataliyev Eddy Soeryanto Soegoto Ednawati Rainarli Eko Budi Setiawan Firdaus, Dony Waluya Harjono, Risqi Windu Hartono, Rodi Harun AS Hasbu Naim Syaddad Hermawan, Randy Hernalom Sitorus Hewa Majeed Zangana Irawan Afrianto Jana Utama, Jana Leslie Hendric Spits Warnars, Harco Luki Ishwara Mari Maryati Martin Agusta Maulana, Hanhan Meyliana, M Meyliana, M. Mohd. Kamir Yusof Muhamad Nawawi Muhammad Aria Rajasa Pohan Muhammad Helmi Narinawati, Umi Novia Purnamasari Petrus Sokibi Petrus Sokibi Sukanto Raeni Dwisanty Resviani, Devi Ridho Taufiq Subagio Rifqi Fahrudin Riska Endah Septiani Rita Sari Puspita Rizki Adha Rizki Dwi Nugraha Santy, Raeny Dwi Senny Luckyardi Sopian Alviana Sopian Alviana Sopian Alviana Sri Supatmi Suharjo, Bambang Syaddad, Hasbu Naim Tarso Tarso Tomas Chochole Tri Rahajoeningroem Umi Narimawati Umi Narimawati Umi Narinawati Umi Nerinawati Warnars, Harco Leslie Hendric Spits Wildan Zulfikar Djunaedi Zaenal Arifin Hasibuan Zaenudin, Aditya Rifandi Zainal Arifin Hasibuan zulkifli, ridwan