SISTEM PENDUKUNG KEPUTUSAN KELOMPOK MENGGUNAKAN KOMBINASI METODE MOORA DAN COPELAND SCORE UNTUK PEMILIHAN VENDOR

SAHIDA, Aulia Pasca and Surarso, Bayu and Gernowo, Rahmat (2020) SISTEM PENDUKUNG KEPUTUSAN KELOMPOK MENGGUNAKAN KOMBINASI METODE MOORA DAN COPELAND SCORE UNTUK PEMILIHAN VENDOR. Masters thesis, School of Postgraduate.

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Abstract

Proses pengambilan keputusan pemilihan vendor memiliki cakupan luas dan tingkat kompleksitas tinggi, hal tersebut disebabkan keterlibatan berbagai pihak pengambil keputusan yang memiliki preferensi masing-masing. Konsekuesinya proses pemilihan vendor harus dilakukan secara objektif dan transparan, untuk mendapatkan efektivitas proses dan meminimalisir terjadinya kolusi. Dalam penelitian ini, diusulkan penggunaan konsep Group Decision Support System (GDSS) untuk menentukan vendor terbaik berdasarkan agregasi preferensi masing-masing pihak pengambil keputusan. Konsep GDSS yang diusulkan adalah mengkombinasikan metode Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) dengan metode Copeland Score. Metode MOORA digunakan sebagai metode perangkingan berdasarkan kriteria dan rasio bobot masing-masing pihak pengambil keputusan. Hasil perangkingan menggunakan metode MOORA pada masing-masing pihak pengambil keputusan selanjutnya diagreasikan menggunakan metode Copeland Score, untuk mendapatkan rangking final vendor. Hasil analisis user acceptance test mengindikasikan konsep GDSS yang diusulkan dapat menjembatani permasalahan objektivitas pemilihan vendor, yaitu seluruh responden memberikan respons setuju terhadap pernyataan objektivitas yang membandingkan dengan sistem terdahulu. Analisis sensitivitas pada kombinasi metode MOORA dan Copeland Score juga memberikan hasil yang searah yaitu memiliki nilai sensitivitas yang rendah (9,09%). Kata kunci : GDSS, MOORA, Copeland Score, Pemilihan Vendor The vendor selection decision making process has a wide scope and a high level of complexity, this is due to the involvement of various decision makers who have their respective preferences. Consequently the vendor selection process must be carried out objectively and transparently, to get the effectiveness of the process and minimize collusion. In this research, it is proposed to use the concept of Group Decision Support System (GDSS) to determine the best vendor based on the aggregation of preferences of each decision maker. The proposed GDSS concept is to combine the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) with the Copeland Score method. The MOORA method is used as a ranking method based on the criteria and weight ratio of each decision maker. The results of ranking using the MOORA method on each decision-making party are then aggregated using the Copeland Score method, to get the final vendor ranking. The results of the user acceptance test analysis indicate the proposed GDSS concept can bridge the objectivity problem of vendor selection, that is all respondents respond agree with the objectivity statement which comparing with the previous system. Sensitivity analysis on the combination of the MOORA method and the Copeland Score also gives unidirectional results which have a low sensitivity value (9.09%). Keywords : GDSS, MOORA, Copeland Score, Vendor Selection

Item Type:Thesis (Masters)
Uncontrolled Keywords:GDSS, MOORA, Copeland Score, Pemilihan Vendor
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:School of Postgraduate > Master Program in Information System
ID Code:82228
Deposited By:INVALID USER
Deposited On:08 Jan 2021 11:45
Last Modified:08 Jan 2021 11:45

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