Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Repeater: Publikasi Teknik Informatika dan Jaringan
Sri Bintan
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
Pengembangan Sistem Deteksi CCTV Pintar untuk Meningkatkan Keamanan dan Keselamatan Pengguna Jalan Tol Sri Bintan
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 1 (2025): Januari : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i1.370

Abstract

The safety and security of toll road users is a very important issue in road infrastructure management. In order to improve monitoring and response to potential dangers, smart CCTV technology can be an effective solution. This research aims to develop a smart CCTV detection system that can detect events that endanger safety, such as accidents or traffic disturbances. This system uses image processing technology and artificial intelligence to analyze CCTV footage in real-time and provide immediate warnings to security officers. Test results show that this system can detect events quickly and accurately, improving response and decision making to improve toll road safety. This system also allows for more efficient monitoring by reducing reliance on manual monitoring.
Penentuan Penerima Beasiswa Menggunakan Metode Fuzzy Tsukamoto Sri Bintan; Adhistya Aulia Dh; Khairul Shaleh
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 1 (2026): Januari : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v4i1.800

Abstract

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.
Co-Authors Adhistya Aulia DH Khairul Shaleh