Sistem Pendukung Keputusan Pemilihan Mekanik Sepeda Motor Yamaha Alfascorfii Dengan Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA)

M Safii, Azlan Zulhamsyah


Job performance is one of the needs in a company. The demand for these needs aims to foster consumer confidence in the services provided. In service business activities such as the sale and service of professional motorbikes, mechanical work is needed. In determining the best mechanic, there are many criteria that the mechanic must fulfill. These criteria include efforts to overcome problems, years of service, education and discipline. The selection of the best motorcycle mechanics is done to help improve the mechanical workability to be better than before. To assist with the determination or selection in determining someone who deserves to be the best motorcycle mechanic, a decision support system is needed. In this study a case will be raised which is looking for the best alternative based on the criteria that have been determined by using the Multi Objective Optimization Method On The Base Of Ratio Analysis (MOORA). The research was conducted by looking for weight values for each attribute, then ranking process was carried out which would determine the optimal alternative, namely Yamaha Alfascorfii motorcycle mechanics.

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M. Safii, “Sistem Pendukung Keputusan Penerima Beasiswa PPA Dan BBM Menggunakan Metode Simple Additive Weighting (SAW)”, Jurnal Riset Sistem Informasi dan Teknik Informatika, Vol.2 No.1, 2017.

Ridwan Munawar, Rinda Cahyana, Luthfi Nurwandi, “Model Simulasi Perawatan Sepeda Motor”, Jurnal Tekhik Informatika, Vol. 10 No. 01, 2013.

Dadan Umar Daihani, “Komputerisasi Pengambilan Keputusan”, Elex Media Komputindo.Jakarta, 2001

Mesran, R. K. Hondro, M. Syahrizal, A. P. U. Siahaan, R. Rahim, and Suginam, “Student Admission Assessment using MultiObjective Optimization on the Basis of Ratio Analysis (MOORA),” J. Online Jar. COT POLIPT, vol. 10, no. 7, pp. 1 –6, 2017.

S. Rokhman, I. F. Rozi, and R. A. Asmara, “Pengembangan sistem penunjang keputusan penentuan ukt mahasiswa dengan menggunakan metode moora studi kasus politeknik negeri malang,” J. Inform. Polinema, vol. 3, no. 4, pp. 36–42, 2017.

S. Chakraborty and E. K. Zavadskas, “Applications of WASPAS Method in Manufacturing Decision Making,” Informatica, vol. 25, no. 1, pp. 1 –20, 2014.



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