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All Journal JIK Jurnal Ilmu Komputer Majalah Ilmiah Matematika Komputer Nuansa Informatika Jurnal Teknologi Informatika dan Komputer Jurnal Pemberdayaan Komunitas MH Thamrin Jurnal Jaring SainTek International Journal of Business, Law, and Education Jurnal Ilmu Ekonomi Manajemen dan Akuntansi Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Jurnal Informatika Dan Tekonologi Komputer (JITEK) Indonesia Journal of Engineering and Education Technology (IJEET) Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Jurnal Informatika Dan Tekonologi Komputer
Yohanes Bowo Widodo
Universitas Mohammad Husni Thamrin
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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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APLIKASI MOBILE COLLECTION BERBASIS ANDROID PADA PT. SUZUKI FINANCE INDONESIA Sondang Sibuea; Mohammad Ikhsan Saputro; Agie Annan; Yohanes Bowo Widodo
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 1 (2022): Maret : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i1.185

Abstract

Mobile collection application is a system to facilitate the process of monitoring and billing debtors at PT. Suzuki Finance Indonesia. Problems that often occur when billing is done by the ARO (Account Receiveble Officer) cannot be quickly monitored by the branch head. Also not known visit information quickly when billing. Therefore, in this research, an android-based mobile collection application will be built. So that monitoring and visit information can be obtained very quickly so that it can maximize the work of the branch head and ARO. The data collection method, the author uses field study techniques, interviews and uses library research methods with secondary data as the data source.
YOLO in Suspicious Human Activity Recognition for Intelligent Environmental Security Systems: A Review Widodo, Yohanes Bowo; Sibuea, Sondang; Agustino, Rano
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3243

Abstract

The rapid growth of intelligent environmental security systems has intensified the need for accurate and real-time suspicious human activity recognition. Computer vision techniques, particularly deep learning–based object detection models, have emerged as key enablers in addressing these challenges. Among them, You Only Look Once (YOLO) has gained significant attention due to its high detection speed, end-to-end architecture, and suitability for real-time surveillance applications. This review paper presents a comprehensive analysis of the application of YOLO-based models in suspicious human activity recognition for intelligent environmental security systems. It examines the evolution of YOLO architectures, their adaptations for activity and behavior analysis, and their integration with surveillance frameworks. The review further discusses commonly used datasets, performance evaluation metrics, and comparative results reported in existing studies. In addition, key challenges such as occlusion, varying illumination, complex backgrounds, privacy concerns, and computational constraints are highlighted. Finally, the paper outlines future research directions, including hybrid models, multi-modal data fusion, edge-based deployment, and explainable AI, to enhance the robustness and reliability of YOLO-driven security systems. This review aims to provide researchers and practitioners with a structured understanding of current advancements and open issues in YOLO-based suspicious human activity recognition.
Co-Authors Achmad Rivaldi Ade Muhammad Ichsan Adrie Oktavio Agie Annan Agung Rahmaddoni Agus Wiyatno Ahmad Gunawan Ajeng Tias Endarti Akbar, Khoironi Fanana Amin Sakaria, Muhammad Andika Dirsa Andrian, Feri Anggraeini, Silvia Ayu Anindya, Aulia Arie Bayu Untoro Arie Bayu Untoro Aulia Anindya Budi Harsono Budi Harsono Dedi Setiadi Dedi Setiadi Ependi Erent Dany Pratama Erent Dany Pratama Febrianti Widyahastuti Febrianti, Reni Febrianto Febrianto Febrianto Febrianto, Febrianto Fenty Tristanti Julfia Fenty Tristanti Julfia Feri Andrian Fius Bryan Nigel M. Sinaga Gatot Hery Djatmika Gatot Hery Djatmika Gustiawan, Handa Gusvarizon, Muhammad Handa Gustiawan Handa Gustiawan Hasan Basri Ibrahim Aziz Indira Meilita Istifadah Istifadah Julfia, Fenty Tristanti Khaliq, Muhammad Nur Kiki Kurniawan Kiki Kurniawan Leo Faturahman Lily Nabilah Lingga Hanggada Adi Saputra Miftachul Amri Mohammad Ikhsan Saputro Mohammad Ikhsan Saputro Mohammad Ikhsan Saputro Mohammad Ikhsan Saputro, Mohammad Ikhsan Muhammad Amin Sakaria Muhammad Bahrul Lutfianto Muhammad Gusvarizon Muhammad Gusvarizon Muhammad Nur Khaliq Nadia Lutfiana Sari Narji, Mohammad Ni Desak Made Santi Dwyarthi Ningsih, Putu Tirta Sari Nur Asniati Djaali Nur Fadilla Nur Fadilla Purnomo Purnomo Putu Tirta Sari Ningsih Rahman, Taslim Idris Rano Agustino Reni Febrianti Reni Febrianti RIO ANDRIYAT KRISDIAWAN Rosidah Rosidah Rosidah Rosidah Sakaria, Muhammad Amin Silvia Ayu Anggraeini Simaibang, Frenta Helena Sinaga, Fius Bryan Nigel M. Sondang Sibuea Sondang Sibuea Sopian, Abu Sutanto Priyo Hastono Sutrisno Sutrisno Sutrisno, Sutrisno Taslim Idris Rahman Tata Sutabri Tri Octavianto Untoro, Arie Bayu Via Yustitia Vidi Lampah Widyahastuti, Febrianti Wiwit Wijayanti, Wiwit Yudhazaldi Nuki Putrasandi Yustinus Tri Handoyo