DWIAN, RAHMAT and Yahdin, Sugandi and Desiani, Anita (2020) PENERAPAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) SEBAGAI PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMA PROGRAM MAHASISWA WIRAUSAHA (STUDI KASUS: UNIVERSITAS SRIWIJAYA). Undergraduate thesis, Sriwijaya University.
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Abstract
Universitas Sriwijaya Entrepreneurship Student Program/Program Mahasiswa Wirausaha (PMW) is the program for Universitas Sriwijaya’s students who have an entrepreneurial interest. There are 5 criteria in selecting PMW proposals based on Universitas Sriwijaya, such as product innovation and originality, market potential/market opportunities, production processes, management organization and investment plans. The PMW in 2019 had 304 proposals submitted. There were 146 proposals that qualify for funding. The process of selecting proposals by Universitas Sriwijaya only accumulates reviewers scores for each criterion manually. This study applies the MOORA (Multi- Objective Optimization On The Basis Of Ratio Analysis) method to determine which proposals are qualified to be funded by Universitas Sriwijaya. Based on, weighting the criteria, calculating the normalization matrix, multiplying each weighting criteria with the normalization matrix, and sorting the calculation results on each proposal from the highest to the lowest accumulation value. In the calculation results. there is a similarity between the results of the MOORA method with the results of the university pmw selection in 2019 of 92.97%. This shows the MOORA method can be used in selecting PMW proposals the following year.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | MOORA, Pemilihan keputusan, Program Mahasiswa Wirausaha, Berwirausaha, Seleksi proposal |
Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA37.3.1.64 Applied Mathematics Q Science > QA Mathematics > QA1-939 Mathematics > QA612 Mathematica (Computer file) Algebraic topology. Group theory. Manifolds (Mathematics) Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | Users 7890 not found. |
Date Deposited: | 09 Sep 2020 06:31 |
Last Modified: | 09 Sep 2020 06:31 |
URI: | http://repository.unsri.ac.id/id/eprint/34718 |
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