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All Journal Journal Global Technology Computer Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat
Danur, Surizar Rahmi
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Humanities Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Journal Global Technology Computer

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Penerapan Metode Multi-Attributive Border Approximation Area Comparison Pada Sistem Pendukung Keputusan Penentuan Penerima Bantuan Pangan Non Tunai Sanjaya, Donny; Nababan, Arif Hamied; Sinuhaji, Nirwan; Siregar, Dini Rizqi Dwikunti; Danur, Surizar Rahmi
Journal Global Technology Computer Vol 4 No 2 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i2.7370

Abstract

Non-Cash Food Assistance (BPNT) is a type of assistance managed by the Ministry of Social Affairs. The problem that often occurs when selecting recipients of non-cash food assistance previously was choosing families receiving non-cash food assistance without complying with the specified requirements or criteria. In the selection of families receiving non-cash food assistance, there is still a family attitude such as the village head and his staff who choose families receiving non-cash food assistance. This is certainly very bad, resulting in poor people not getting assistance and will also cause social jealousy among residents and not produce community welfare. A decision support system (DSS) is a system that is able to provide problem-solving capabilities and communication capabilities for problems with semi-structured and unstructured conditions. In the decision support system, the MABAC method can be applied which is able to produce the best decisions and several inputted alternatives. The results obtained from the process carried out were that A4 was the selected alternative with the highest value, namely 0.602
Penerapan Sistem Pakar dengan Metode Naive Bayes pada Kerusakan Motor Injeksi Sinaga, Marito Romaida; Sianipar, Lilin; Laia, Naomita; Bawamenewi, Nelis Sastraman; Surbakti, Asprina Br; Danur, Surizar Rahmi
Journal Global Technology Computer Vol 4 No 3 (2025): Agustus 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i3.8190

Abstract

An injection engine is a motorized vehicle that uses a fuel injection system directly into the combustion chamber through an injector that is electronically controlled by the ECU. However, mechanics often encounter obstacles and difficulties in checking for damage to the injection engine, so that checks are still carried out manually on the injection engine. To overcome this problem, one solution is to utilize an analysis method that can help and facilitate mechanics in determining damage to the injection engine. This method was chosen with the aim of being able to identify the type of damage and provide solutions related to existing problems. The purpose of this study is to analyze and identify the types of damage to the injection engine using the Naïve Bayes method, as well as to determine the probability level of each damage so that it can provide more accurate information for the repair process. The results of the calculation test using the Naïve Bayes method show that problematic injection sensor damage is the damage with the highest value of 72.8%.
Co-Authors Asprina Br Surbakti, Asprina Br Bawamenewi, Nelis Sastraman Gilang, Arlanda Laia, Naomita Meiliyani Br Ginting, Meiliyani Br Nababan, Arif Hamied Nasution, Ramadani Prasetio, Wahyu Risky, Muhammad Sanjaya, Donny Sianipar, Lilin Sinaga, Marito Romaida Sinuhaji, Nirwan Siregar, Dini Rizqi Dwikunti Tarigan, Siti Jamilah Br