PENERAPAN DECISION SUPPORT SYSTEM DYNAMIC MENGGUNAKAN SIMPLE ADDICTIVE WEIGHTING DALAM PENENTUAN PEGAWAI TERBAIK
Abstract
Lots of applications or programs that are very useful to simplify human work. This includes applications that are made within a company. A company needs an intelligent system or an agent that controls the company's system. In a company has employees who work. This research will discuss the Dynamic Decision Support System in determining the best employees using one of the web-based Multi-Criteria Decision Making methods, which is Simple Additive Weighting (SAW). By using 2 types of data namely pattern data and test data. The data inputted were 15 data consisting of 10 test data and 5 pattern data. Then a confusion matrix can be obtained in the form of an accuracy value of 25%, a precision of 100%, a recall of 14%, and an F Measure of 24.5%.
Downloads
References
Asep Sujarwadi, Dodo Zaenal Abidin, "Perancangan Sistem Pendukung Keputusan Dengan Metode Simple Additive Weighting (Saw) Dalam Penentuan Tunjangan Kinerja Pegawai," Jurnal Manajemen Sistem Informasi, p. 54, 2016.
A. Sharma, "geeksforgeeks.org," [Online]. Available: https://www.geeksforgeeks.org/confusion-matrix-machine-learning/.
P. Fishburn, A Problem-based Selection of Multi-Attribute Decision Making Method, New Jersey: Blackwell Publishing, 1967.
E. Jayanti, "Penerapan metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Perekrutan Karyawan," Pelita Informatika Budi Darma, vol. Ix, p. 3, 2015.
Kusumadewi, Hartati,Harjoko,Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM), Yogyakarta: Penerbit Graha Ilmu, 2006.
Sigit Eka Karsa, Joni Devitra, "Analisis dan Perancangan SPK Pemilihan PNS Teladan Dengan Metode SAW Pada BKD Provinsi Jambi," Jurnal Manajemen Sistem Informasi, pp. 4-5, 2017.
Copyright (c) 2020 Jurnal Ilmiah Informatika
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract viewed = 910 times
PDF downloaded = 0 times
