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All Journal Journal of Information Systems and Informatics Prosiding National Conference for Community Service Project
Paerin, Paerin
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education

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Sosialisasi Pemilu 2024 kepada Pemilih Pemula di Sekolah Pelita Utama Batam Aparianto, Aparianto; Christina, Christina; Lim, Vincent; Aurelia, Clara; Julyance, Zoey; Amelia, Amelia; Paerin, Paerin; Derrick, Lionel; Rinoa, Livvy; Jesslyn, Jesslyn; Selvi, Selvi; Rose, Felicia Diana; Andy, Andy; Lestari, Sri Indah; Sanjaya, Enrico; Agustin, Viona; Joycelyn, Joycelyn; Aritonang, Jonsfir Daus
National Conference for Community Service Project (NaCosPro) Vol. 5 No. 1 (2023): The 5th National Conference for Community Service Project 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v5i1.8224

Abstract

Elections in Indonesia are one of the concrete manifestations of Indonesia's democratic ideology, in which the people declare their sovereignty over the state and government. That way, people's participation in this election is quite significant as an indicator of the democratic process in Indonesia. Every year, new voters on the electoral voter list will increase. Those are what that is called as a first-time voter. Beginner voters are the ones who are voting or contributing to election activities for the first time. Therefore, it is necessary to find a way to provide insight and make them aware of the importance of their role in state activities. There's a way or method that can be done by carrying out political socialization with the theme of elections. With socialization, of course, it will have a significant effect or impact on these first-time voters.
Enhancing Smart Wheelchair Control: A Comparative Study of Optical Flow and Haar Cascade for Head Movement Muriyah, Nimatul Ma; Paerin, Paerin; Yulianto, Andik
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1302

Abstract

The development of Artificial Intelligence, particularly in Computer Vision, has enabled real-time recognition of human movements such as head gestures, which can be utilized in smart wheelchairs for users with limited mobility. This study compares two lightweight non-deep-learning methods Lucas–Kanade Optical Flow and Haar Cascade Classifier for real-time head movement detection. Both methods were implemented in Python using OpenCV and tested in four basic directions (left, right, up, and down) under three different lighting conditions: bright, normal, and dim. Each condition consisted of 16 trials per method, resulting in a total of 96 trials. The evaluation focused on detection accuracy and decision time. Under bright lighting, Optical Flow achieved 87.5% accuracy with a decision time of 0.338-1.41 s, while Haar Cascade reached 50% accuracy with 0.616–1.20 s. Under normal lighting, Optical Flow maintained 87.5% accuracy with 0.89–1.21 s, compared to Haar Cascade’s 68.75% accuracy with 0.83–1.25 s. Under dim lighting, Optical Flow improved to 93.8% accuracy with 0.90–1.31 s, whereas Haar Cascade dropped to 62.5% accuracy with 0.89–1.58 s. These findings confirm that Optical Flow delivers more reliable and adaptive performance across varying illumination levels, making it more suitable for real-time smart wheelchair control. This study contributes to the development of affordable assistive technologies and highlights future directions for multi-user testing and hardware integration.
Co-Authors Agustin, Viona Amelia Amelia Andik Yulianto Andy Andy Aparianto, Aparianto Aritonang, Jonsfir Daus Aurelia, Clara Christina Christina Derrick, Lionel Jesslyn, Jesslyn Joycelyn, Joycelyn Julyance, Zoey Lestari, Sri Indah Lim, Vincent Muriyah, Nimatul Ma Rinoa, Livvy Rose, Felicia Diana Sanjaya, Enrico Selvi Selvi