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All Journal PERFORMA : Media Ilmiah Teknik Industri INOVTEK Polbeng - Seri Informatika Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Abdi Masyarakat Indonesia Teknomatika: Jurnal Informatika dan Komputer
Meiyanto Eko Sulistyo
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Sebelas Maret, Surakarta.
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Implementation of Object Detection Method for Intelligent Surveillance Systems at the Faculty of Engineering, Universitas Sebelas Maret (UNS) Surakarta Aris Maulana Fauzan; Sutrisno Ibrahim; Meiyanto Eko Sulistyo
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 1 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.1.61197

Abstract

The number of positive Covid-19 cases in Indonesia continue to increase. This increase influenced by the behavior of Indonesian citizens in dealing with the pandemic, one of which is rarely wearing masks. In this study, we implemented an object detection method for intelligent surveillance systems (ISS) at the Faculty of Engineering, Universitas Sebelas Maret (UNS), Surakarta. By implementing face detection and mask detection, the surveillance system can recognize whether a person in a CCTV video frame is wearing a mask or not. In addition, deep metric learning and histogram of gradient (HOG) are applied to recognize faces of unmasked people in images. The test results show that the surveillance system can recognize the use of masks with 75%-87% accuracy rate. Furthermore, the accuracy rate for facial recognition on images ranges from 69% -100% for each person
Schedule Information System of Medical Profession Program Zaidan Alvin Al Hanif; Faisal Rahutomo; Meiyanto Eko Sulistyo
Journal of Electrical, Electronic, Information, and Communication Technology Vol 8, No 1 (2026): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.8.1.103117

Abstract

This article details the development of an automated, web-based scheduling system for medical professional education at UNS Surakarta, Indonesia. The goal of this research was: To build an information system assisting UNS medical faculty administrators by automating medical professional education scheduling and enabling fast, precise, and efficient schedule access. This study employed a prototyping method, sequentially defining the objective object (system requirements), designing, implementing, and evaluating the system. The prototyping method focuses on finding the general purpose of the system because this prototype is an initial description of the system for greater continuation. Several diagrams, such as ERD and use case diagrams, describe the system architecture design. The team performed system testing using the black box method to ensure the system functions as designed. The results show that the system can produce clinical clerkship scheduling more quickly and effectively. After testing the black box system, a user acceptance testing test was to be carried out by conducting a satisfaction survey, getting an assessment result of 76.9%. This system's user satisfaction was relatively high.
Traffic Light Design with Infrared Sensors Meiyanto Eko Sulistyo; Feri Adriyanto; Royani Aulia Ihsanti
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.66408

Abstract

The development of Traffic Light Design with Infrared Sensors is done to accommodate about how many vehicles may pass through each lane in inersections. The traffic light is using infrared sensors at each lane to measure the density of vehicles. Infrared sensor then sends those data to micro-SD card module to be stored. Arduino Mega will receive data from infrared and real-time clock module about how many vehicles and what time they were counted to then display it on liquid crystal display. A detailed description of each component, the architecture and system design of prototype has been provided. The system prototype has been simulated in Fritzing simulation software.
Co-Authors Adip Safiudin Adriyanto, Feri Agus Ramelan Anindika Utami Putri Ardya Paradipta Sylvano Inderawan Aris Maulana Fauzan Bambang Harjito, Bambang Bambang Suhardi Eko Liquiddanu Faisal Rahutomo Febri Liantoni Febri Liantoni Irwan Iftadi Jelita Citrawati Jihan Joko Haryono Josaphat Tetuko Sri Sumantyo Muhammad Danang Prastowo Muhammad Hamka Ibrahim Muhammad Hamka Ibrahim Muhammad Hamka Ibrahim Muhammad Ikyu Arqie Ramadhan Royani Aulia Ihsanti Sari Widya Sihwi Sarngadi Palgunadi Stephanus Hanurjaya Subuh Pramono Suryo Ihsan Sudarsono Sutrisno . Sutrisno Ibrahim Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno Zaidan Alvin Al Hanif