Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Sistem Komputer dan Informatika (JSON) Bulletin of Computer Science Research
Abdul Kholik
Universitas Indo Global Mandiri, Palembang
Computer Science & IT Control & Systems Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Penentuan Pembukaan Gerai dengan Menggunakan Analytic Hierarchy Process Empat Layer Muhammad Dzulfikar Fauzi; Granita Hajar; Abdul Kholik
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4289

Abstract

In the neighborhood, there is a slew of flavored drink shops. Bubble drinks, sometimes known as "boba drinks," are currently popular across various demographics, particularly among teenagers and young people. The sweet taste of the drink and the range of options drive demand for this boba drink, which is growing increasingly popular. In addition to its presentation, this beverage producer offers customization options for beverage taste, sugar level, drink glass size, and even ice cube quantity to satisfy consumer preferences. Several criteria, such as pricing, purchasing power, and location, must be considered while deciding on store opening These elements can still be subdivided. Therefore the AHP (Analytical Hierarchy Process) method is appropriate for determining store openings. The findings of this study demonstrate that, among numerous alternative locations, location G has the highest value, with a weight of 0.2236.
Penentuan Pembukaan Gerai dengan Menggunakan Analytic Hierarchy Process Empat Layer Muhammad Dzulfikar Fauzi; Granita Hajar; Abdul Kholik
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4289

Abstract

In the neighborhood, there is a slew of flavored drink shops. Bubble drinks, sometimes known as "boba drinks," are currently popular across various demographics, particularly among teenagers and young people. The sweet taste of the drink and the range of options drive demand for this boba drink, which is growing increasingly popular. In addition to its presentation, this beverage producer offers customization options for beverage taste, sugar level, drink glass size, and even ice cube quantity to satisfy consumer preferences. Several criteria, such as pricing, purchasing power, and location, must be considered while deciding on store opening These elements can still be subdivided. Therefore the AHP (Analytical Hierarchy Process) method is appropriate for determining store openings. The findings of this study demonstrate that, among numerous alternative locations, location G has the highest value, with a weight of 0.2236.
Deteksi Pelanggaran Durasi Berhenti Kendaraan pada Area Yellow Box Junction Menggunakan Algoritma YOLOv8 Abdul Kholik; Muhammad Dzulfikar Fauzi
Bulletin of Computer Science Research Vol. 6 No. 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i3.1055

Abstract

Traffic congestion at urban intersections in Indonesia, particularly in Palembang, is exacerbated by the frequent violation of Yellow Box Junction (YBJ) regulations. This study develops an automated detection system for vehicle stopping duration violations in YBJ areas using the YOLOv8 deep learning algorithm, specifically the yolov8n.pt model, optimized with a 3-frame skip technique to enhance computational efficiency. The system is designed to identify vehicles remaining within a predefined Region of Interest (ROI) for more than 5 seconds. Testing conducted at Simpang Angkatan 45 recorded 168 violations compared to 149 violations from manual observation. The primary contribution of this research lies in the development of an automated traffic law enforcement solution tailored to Indonesia's heterogeneous traffic conditions, as well as the implementation of computational optimization techniques that enable near real-time operation on mid-range hardware without significantly compromising detection accuracy . Although a 12.75% detection variance occurred due to ID switching and occlusion factors, this study provides a foundation for more accountable and scalable intelligent surveillance systems in the future.
Co-Authors Fauzi, Muhammad Dzulfikar Granita Hajar Muhammad Dzulfikar Fauzi