Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Administrasi Karya Dharma Inventa: Journal of Science, Technology, and Innovation
Sylsiani Mursalim
Institut Mekongga
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Tata Kelola Program Mudik Gratis sebagai Upaya Peningkatan Kualitas Pelayanan Transportasi Publik di Sulawesi Tenggara Muhamad Rajulan; Maudhy Satyadharma; Hado; Nasrul; Sylsiani Mursalim
Jurnal Administrasi Karya Dharma Vol. 5 No. 1 (2026): Jurnal Administrasi Karya Dharma (Maret 2026)
Publisher : Sekolah Tinggi Ilmu Administrasi Karya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the influence of the governance of the free homecoming program on the quality of public transportation services in Southeast Sulawesi Province. The study used a quantitative approach with descriptive methods and simple linear regression analysis. The sample consisted of 99 respondents who were users of the free homecoming service in 2026. The results showed that governance had a positive and significant effect on service quality, with a regression coefficient of 0.964 and a determination value of 60.7%. This indicates that better governance improves the quality of public transportation services. These findings emphasize the importance of transparency, accountability, and inter-agency coordination in increasing the effectiveness of the free homecoming program, thus ensuring optimal, safe, and comfortable service delivery and sustainably increasing public satisfaction.
Pemanfaatan Teknologi Artificial Intelligence Untuk Transparansi Analisis Kepadatan Jalanan Perkotaan Muhamad Faza Almaliki; Hasmina Tari Mokui; Maudhy Satyadharma; Hado Hado; Muhammad Rajulan; Sylsiani Mursalim
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/merd9717

Abstract

Urban traffic congestion is a major challenge in modern transportation management, while conventional monitoring systems remain limited in providing transparent and easily understandable information. This study aims to analyze the use of Artificial Intelligence to enhance the transparency of road congestion analysis through visual interpretation. Traffic imagery data was obtained from CCTV cameras at urban intersections and processed using the YOLOv8 model to detect vehicles and visualize traffic conditions. Subsequently, heatmap visualizations and Explainable Artificial Intelligence approaches were employed to clarify areas of vehicle concentration. The results show that the system can identify vehicle distribution patterns and present a visual representation of density based on concentration and object categories. This visualization provides more transparent, informative, and intuitive information regarding traffic conditions. Thus, this approach has the potential to support the development of smart transportation systems and data-driven traffic monitoring in urban environments effectively, accurately, and sustainably.
Co-Authors Hado Hado Hado Hasmina Tari Mokui Maudhy Satyadharma Maudhy Satyadharma Muhamad Faza Almaliki Muhamad Rajulan Muhammad Rajulan Nasrul