Open AccessImplementasi Metode Entropy dan Topsis Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik
Author(s) -
Mitha Anggreani Rupang,
Adhi Kusnadi
Publication year - 2018
Publication title -
ultima computing/ultima computing: jurnal sistem komputer
Language(s) - English
Resource type - Journals
eISSN - 2549-4007
pISSN - 2355-3286
DOI - 10.31937/sk.v10i1.887
Subject(s) - topsis , entropy (arrow of time) , computer science , operations research , operations management , artificial intelligence , mathematics , engineering , physics , quantum mechanics
Employee is a part of the company's most important asset in its efforts to maintain survival, growth, ability to compete and profit. At this time the process of assessment of employees in Jakarta Smart City is still in the form of manual and the decision only from one party only, so the process is still not accurate. So it takes the methods that must be able to replace that system. For that reason, a Decision Support System (SPK) was created to determine the best employees in Jakarta Smart City. In the system implemented the method of Entropy and TOPSIS. Entropy method can be trusted in determining the weight of the criteria to be used. And TOPSIS method can quickly perform the ranking process. Criteria to be used are quality and quantity of work, obedience, cooperation, morale, and work discipline. The index of satisfaction level of respondents to the decision support system ranges from 70% -80%, meaning that the assessment of the system created gives results at a fairly good level.
Index Terms—employee, nter key words or phrases in alphabetical order, separated by commas