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All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Pemberdayaan Komunitas MH Thamrin Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Informatika Dan Tekonologi Komputer
Sondang Sibuea
Universitas Mohammad Husni Thamrin
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences Other

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YOLOv12 for Human Object Detection in Real-time Video Surveillance Systems Widodo, Yohanes Bowo; Sibuea, Sondang; Agustino, Rano
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2789

Abstract

This research discusses the application of the YOLO (You Only Look Once) model to detect human objects in real-time video surveillance systems. This model was developed in response to the increasing need for efficiency and accuracy in video surveillance analysis, particularly in identifying abnormal or malicious activities. The application of deep learning technology, especially the YOLO model, has been shown to provide better performance in object recognition compared to traditional methods, such as SVM and Haar-Cascade, which often experience limitations in terms of speed and accuracy. One significant contribution of the use of YOLO lies in its ability to detect objects simultaneously in high-speed video, which is crucial in surveillance contexts that require rapid response to incidents. The implementation of YOLO also promises better collaboration between edge and cloud computing, allowing video processing to be carried out closer to the data source, reducing latency and improving data security. With this approach, the system can generate relevant information for rapid decision-making, such as monitoring human behavior in public settings and detecting suspicious activity. The analysis of this study highlights the significant potential of YOLO in improving real-time video surveillance systems and demonstrates that more accurate object detection capabilities can improve overall public safety. Through this model, we hope to revolutionize surveillance practices, adapt to modern needs, and provide a solid foundation for further development in the field of video surveillance.
PERANCANGAN ROBOT PEMADAM API DENGAN PENGONTROLAN GERAK METODE PROPORTIONAL INTEGRAL DERIVATIVE (PID) MENGGUNAKAN SENSOR SONAR BERBASIS MIKROKONTROLLER Sondang Sibuea; Agung Rahmaddoni; Yohanes Bowo Widodo
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 3 (2021): November : 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.v1i3.83

Abstract

This research designs and implements a control algorithm on a wheeled wall follower robot that uses a PID controller (Proportional, Integral, Differential) as a navigation system for a wall follower fire fighting robot. The task of this robot is to walk along the walls of the area. The PID controller aims to smooth the movement of the robot when tracing the track space. With the help of the PID controller, the wall follower robot is able to navigate safely, smoothly, responsively and quickly. Fire fighting robots require a variety of sensors to run properly, one of which is using sonar sensors that are used for robot navigation. This sensor works based on the principle of wave reflection, where in this case the variable measured is the time of reflection since the wave was emitted. The sonar sensor detects an obstruction. The robot will turn and walk again without hitting obstacles or objects in the vicinity. To detect fire, fire sensor is used. This sensor also find hotspots by assessing the intensity of the light. Arduino ATMega328 microcontroller functions as a robot control. The output of the microcontroller will produce logic 1 to activate the motor driver to activate the right and left wheel motors. The DC motor is used as a driving force for the robot, and the battery here functions as a power supply for the robot. The result is, this robot can detect the fire point of the candle and extinguish the candle flame.
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.
Co-Authors Achmad Rivaldi Agie Annan Agung Fadillah Agung Rahmaddoni Ahmad Fitriansyah Alfian Rivaldi Amin Sakaria, Muhammad Andrian, Feri Ari Bayu Untoro Bagas Saftaji Budi Setiawan Dedi Setiadi Dedi Setiadi Fadillah, Agung Fenty Tristanti Julfia Feri Andrian Fitriansyah, Ahmad Fius Bryan Nigel M. Sinaga Ibrahim Aziz Istifadah Istifadah Julfia, Fenty Tristanti Khaliq, Muhammad Nur Lingga Hanggada Adi Saputra Mohammad Ikhsan Saputro Mohammad Ikhsan Saputro Mohammad Ikhsan Saputro, Mohammad Ikhsan Muhammad Amin Sakaria Muhammad Nur Khaliq Narji, Mohammad Rahman, Taslim Idris Rano Agustino Sakaria, Muhammad Amin Sinaga, Fius Bryan Nigel M. Tata Sutabri Untoro, Ari Bayu Widyahastuti, Febrianti Yogi Pradiyatama Riyanto Yohanes Bowo Widodo