PENERAPAN SISTEM PENDUKUNG KEPUTUSAN (SPK) MENGGUNAKAN METODE MULTI OBJECTIVE OPTIMIZATION BY RATIO ANALYS (MOORA) UNTUK PENENTUAN BEASISWA DI SMAN 14 GOWA
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Ahriansa, Firman
Widiyanto, Max Tea Ajie Cipta
Elly, Muhammad Jafar
Widiyanto, Max Tea Ajie Cipta
Elly, Muhammad Jafar
Subject
Teknik Informatika
Datestamp
2023-06-27 07:49:36
Abstract :
One way to ease the burden of education is by providing scholarships to students who are underprivileged but determined to do 12 years of compulsory education. SMAN 14 Gowa has scholarship facilities that make it easier for students to continue their education in high school at a higher and decent level. In writing this thesis, the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method is used. Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) is a multi-objective system, which has two or more conflicting attributes, namely the cost attribute, the average test and the average report card value while the benefit attribute is KKM, parental income, and parental dependents. MOORA optimizes these attributes by applying complex mathematical calculations, so that output is obtained in the form of solving the desired problem. With the ranking results obtained from student data that has been processed, it can produce the main ranking, namely Muh. Aidil with a total score of 0.0055 as a scholarship recipient at SMAN 14 Gowa.
One way to ease the burden of education is by providing scholarships to students who are underprivileged but determined to do 12 years of compulsory education. SMAN 14 Gowa has scholarship facilities that make it easier for students to continue their education in high school at a higher and decent level. In writing this thesis, the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method is used. Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) is a multi-objective system, which has two or more conflicting attributes, namely the cost attribute, the average test and the average report card value while the benefit attribute is KKM, parental income, and parental dependents. MOORA optimizes these attributes by applying complex mathematical calculations, so that output is obtained in the form of solving the desired problem. With the ranking results obtained from student data that has been processed, it can produce the main ranking, namely Muh. Aidil with a total score of 0.0055 as a scholarship recipient at SMAN 14 Gowa.
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