Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer)
Dwika Assrani
STMIK Budi Darma
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURIKOM (Jurnal Riset Komputer)

 1 
Penentuan Penerima Bantuan Siswa Miskin Menerapkan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) Dwika Assrani; Nurul Huda; Rudi Sidabutar; Imam Saputra; Oris Krianto Sulaiman
JURIKOM (Jurnal Riset Komputer) Vol 5, No 1 (2018): Februari 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.731 KB) | DOI: 10.30865/jurikom.v5i1.561

Abstract

The BSM Program is a National Program aimed at eliminating the barriers of poor students participating to school by helping poor students obtain proper access to education services, preventing dropping out, attracting poor students to return to school, helping students meet needs in learning activities, supporting compulsory education programs 9 Years (even up to middle level), as well as help smooth school programs. To obtain the Poor Student Assistance (BSM) fund, the government sets out some criteria for who are the students who can be eligible and entitled to receive Poor Student Assistance (BSM). The criteria will be later that will assist the school or educational institution in determining which students can be eligible to receive Poor Student Assistance Fund. Therefore, an educational institution must have a Decision Support Support System of Poor Student Fund (BSM) using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with a decision support system of Poor Student Assistance (BSM) is expected to be successful, on target, and accepted by the rightful person. Thus the decision maker can compare the performance between the old system with the BSM funding decision support system with the method of Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) without having to ask back the data of students who will be given Poor Student Assistance funds.
Co-Authors Akbar Iskandar Andri Andri Imam Saputra Mesran, Mesran Nurul Huda Oris Krianto Sulaiman Pahala Sirait Ronda Deli Sianturi Rudi Sidabutar Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri