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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer)
Sopian Soim
Politeknik Negeri Sriwijaya, Palembang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Perancangan Alat Identifikasi Wajah Dengan Algoritma You Only Look Once (YOLO) Untuk Presensi Mahasiswa Irma Salamah; M. Redho Ali Said; Sopian Soim
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4399

Abstract

Presence is an important thing in educational world especially higher education. One of students’ success keys is in their presence because it has correlation to the learning quantity carried out by a college student. Some colleges whose learning conducted face to face still use conventional way by using attendant list sheet until this system is felt less effective in the middle of digitalization development marked by the increase of technology usage. Face recognition attendance technology is a technology which can be adapted from one of artificial intelligence science namely machine learning. Machine learning with deep learning branch becomes the solution which eases human’s work. In its process, face recognition requires certain accurate face detection with certain algorithm. In this research, the method used was You Only Look Once (YOLO) algorithm where to follow some research which had been conducted previously it has high accuracy in face prediction. The test results obtained an average accuracy of 0.9793 by paying attention to parameters such as lighting and real-time sending to the website. Through this research, it is hoped that the attendance process will be more effective and can be monitored by lecturers.
Alat Monitoring Kecelakaan Dengan Intelligent Transport System Berbasis Internet of Things Junio Andika Danda; Ade Silvia Handayani; Sopian Soim; Nyayu Latifah Husni; Leni Novianti
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4652

Abstract

Accidents are one of the problems that are always faced in big cities. This is evident from the indications that traffic accident numbers are always increasing. Delays in handling accidents often occur due to delays in information received by the police and nearby hospitals. Therefore, a remote monitoring system is needed to control vehicles that are operating in real time using monitoring tools that are able to detect traffic accidents and emergency events on the way In this study, the Internet of Things-based Intelligent Transport System was applied using the Support Vector Machine method whose design was carried out using accelerometer sensors, vibrating sensors and sound sensors with the addition of NEO 6M GPS as a coordinate point information provider and a PI NoIR Camera to capture images of surrounding conditions when an accident occurred. The way this tool works is that when there is an accident in a vehicle (car) this tool has been installed with various sensors and components that are able to analyze the surrounding situation if this car has an accident, it will send data that will be displayed in the Android application in the form of time data, coordinates, vibration, sound and images.
Co-Authors Ade Silvia Handayani Irma Salamah Junio Andika Danda Leni Novianti M. Redho Ali Said Nyayu Latifah Husni