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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Societa: Jurnal Ilmu-Ilmu Agribisnis JURNAL PENDIDIKAN TAMBUSAI Journal of Information Systems and Informatics Innovative: Journal Of Social Science Research
Juliansyah, Rizki
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Journal of Information Systems and Informatics

 1 
Measuring the User Experience of LMS CLASS-IPB Using the User Experience Questionnaire Method Wicaksana, Arya Dimas; Juliansyah, Rizki; Lubis, Muhammad Anggi; Fami, Amata; Wahyoedi, Bontisesari
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.731

Abstract

This study conducts the measurement of user experience (UX) of the CLASS-IPB Learning Management System (LMS) using the User Experience Questionnaire (UEQ) method. The research was carried out through several stages, including a literature review, method determination, data collection, and data analysis using UEQ Data Analysis Tools. It involved 45 students who provided feedback on six UX aspects: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Results indicated that CLASS-IPB excels in pragmatic qualities, particularly in efficiency, perspicuity, and dependability, with scores above the benchmark average. However, the system scored lower in hedonic qualities, specifically in stimulation and novelty, suggesting areas for improvement. The study concludes that while CLASS-IPB is effective in aiding task completion and user control, it needs enhancements to become more motivating and innovative.
Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV Juliansyah, Rizki; Ar Rachman, Muhammad Aqil Musthafa; Amin, Muhammad Al; Tyanafisya, Aisya; Hanifah, Nurrizkyta Aulia; Giri, Endang Purnama; Mindara, Gema Parasti
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.912

Abstract

This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency. By leveraging YOLOv8’s enhanced speed and precision, the system detects and classifies five types of vehicles and displays traffic data through a web interface developed with OpenCV and Flask. Key implementation features include real-time video streaming and accurate detection metrics, with the system achieving 96% Precision, 84% Recall, and an F1 Score of 90% during field testing in Bogor. This indicates the system’s potential for minimizing manual traffic monitoring and aiding traffic authorities in making data-driven decisions. The research also discusses the system’s integration into urban traffic management and its scalability for diverse environments.
Co-Authors Al Amin, Muhammad Anwar, Setiady Ibrahim Ar Rachman, Muhammad Aqil Musthafa Endang Purnama Giri Fami, Amata Fitriani, Endah Hanifah, Nurrizkyta Aulia Lestari, Humannisa Rubina Lubis, Muhammad Anggi Mindara, Gema Parasti Muhammad Al Amin Paramita, Nina Rahmat Kurniawan Tamsir Ariyadi Tyanafisya, Aisya Wahyoedi, Bontisesari Wicaksana, Arya Dimas Yulita Rahmi