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All Journal Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal INFOTEL
Ahmad Fali Oklilas
Universitas Sriwijaya, Indonesia
Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Public Health Social Sciences

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Introduction of sungai pinang village website, rambutan district, banyuasin district, selatan sumatra based on ict towards a digital smart village program Ali Ibrahim; Mira Afrina; Yadi Utama; Ahmad Fali Oklilas
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 2 No. 6 (2022)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v2i6.101

Abstract

Community service activities can be carried out according to the agreed agenda and schedule between the community service team and the team from the Sungai Pinang village head, in this case represented by the village head and the village secretary. From the results of the evaluation during the implementation of the activity, it was found that the enthusiasm of the participants was very high in accepting what was conveyed by the resource person. In addition, from the results of communication with the Sungai Pinang village team, it is hoped that there will be further training from the community service team for 2022. So that there will be a continuation of activities. The success rate for this activity is around 75%. Methods in community service activities, mentoring and counseling. The target of this activity is the village staff of more than 10 village staff and 20 representatives from the village community. Village representatives consist of youth organizations, RT, RW and the community.
The intelligent decision model for determine the best path of transportation on smart city using random forest algorithm and bayesian optimization (RF-BO) Ahmad Fali Oklilas; Milda Kamilia; Abdurahman abdurahman; Bita Parga Zen; Ari Widodo
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.1036

Abstract

This study investigates various approaches and algorithms in the context of object detection and best path determination for managing vehicular traffic in an urban environment, particularly in Palembang city. This research is a step towards the development of smart city concept. In the object detection analysis, we applied the YOLOv3 method on video footage to identify vehicles, resulting in mAP accuracy rates between 72.72% to 79.35% for both motorcycle and car categories. The total detection accuracy of the model reached 76.03%. Next, we adopted the Random Forest algorithm to classify traffic conditions into three classes: smooth, moderate, and congested. After optimizing the algorithm with Bayesian Optimization, the model accuracy increased from 89% to 92%, while the classification accuracy increased from 91.66% to 92.36%. Results from the application of the A* Heuristic Search algorithm revealed that lane 5 (from SMK PGRI 1 Palembang to Bom Baru Jl Perintis Kemerdekaan Arah Charitas (STMIK MBC)) was selected most frequently in 9 out of 12time trials. The selection of this route was based on an evaluation of traffic levels that tended to be "smooth" and the shortest travel distance compared to other alternative routes. The decision in choosing the optimal path also considers the road width factor, where wider roads have the potential to reduce traffic density and the risk of congestion.
Co-Authors Abdurahman Ali Ibrahim Ari Widodo Bita Parga Zen Milda Kamilia Mira Afrina Yadi Utama