Sistem Pendukung Keputusan Pemilihan Jaksa Terbaik dengan Menerapkan Metode MABAC (Studi Kasus: Kejaksaan Negeri Medan)


  • Bagus Nur Ihwa Universitas Budi Darma, Medan, Indonesia
  • Natalia Silalahi * Mail Universitas Budi Darma, Medan, Indonesia
  • Rivalri Kristianto Hondro Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Decision Support System; Election; Attorney; MABAC Method

Abstract

The selection of the Medan District Attorney as part of the Attorney General's Office of the Republic of Indonesia carried out several mutations of the chief prosecutor who were taken by manually calculating performance scores. The criteria taken in the evaluation are orientation, service, integrity, commitment, discipline, and cooperation aspects require a decision support system (SPK) to accelerate and facilitate decision making. Decision support systems are used to help decision making in an organization to facilitate decision making. Where no one knows for sure how decisions should be made. One of the methods used in this decision support system is MABAC. Decision support system to assist local governments in the selection of the best prosecutors in accordance with specified conditions and criteria. The MABAC method is one of a set of decision support system methods that are included in the multi criteria decision making method (MABAC) group

Downloads

Download data is not yet available.

References

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.

E. Turban, J. E. Aronson, and T. Liang, “Decision Support Systems and Intelligent Systems.”

S. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). 2006.

Mesran et al., Sistem Pendukung Keputusan & Data Mining: Metode dan Penerapannya Dalam Pengambilan Keputusan. Medan: Green Press, 2020.

Mesran et al., Merdeka Kreatif di Era Pandemi Covid-19: Suatu Pengantar. 2020.

R. K. Hondro, “MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode MultiAttributive Border Approximation Area Comparison,” J. Mahajana Inf., vol. 3, no. 1, pp. 41–52, 2018.

A. Alinezhad and J. Khalili, New methods and applications in multiple attribute decision making (Madm), vol. 277. 2019.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Pemilihan Jaksa Terbaik dengan Menerapkan Metode MABAC (Studi Kasus: Kejaksaan Negeri Medan)

Dimensions Badge
Article History
Submitted: 2020-05-05
Published: 2020-08-20
Abstract View: 1180 times
PDF Download: 1056 times
Section
Articles