ANALISIS PENGGABUNGAN METODE SAW DAN METODE TOPSIS UNTUK MENDUKUNG PENGAMBILAN KEPUTUSAN SELEKSI PENERIMAAN DOSEN

Iriane, Gregorius Rinduh (2013) ANALISIS PENGGABUNGAN METODE SAW DAN METODE TOPSIS UNTUK MENDUKUNG PENGAMBILAN KEPUTUSAN SELEKSI PENERIMAAN DOSEN. S2 thesis, UAJY.

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Abstract

The concept of decision support system-based computer (Computer Based Decision Support System) is currently growing very rapidly. The concept that is meant here is the way or steps taken in the process of decision-making with the help of computer applications. In addition, in the decision making process, there are several methods that can be used as a reference in decision making. The problem is how to determine the appropriate methods to support decision-making processes have become important factors before making a decision so that the right decisions are taken at the target. One way that can be used in the decision-making process is by using SAW (Simple Additive Weighting) and TOPSIS method (Technique Order Preference by Similarity To Ideal Solution). Both methods were chosen because the concept is simple, easy to understand, computationally efficient and has the ability to measure the relative performance of decision alternatives in a simple mathematical form This study will combine the two methods in the Decision Support System (DSS) that saw method and TOPSIS method in the determination of the case studies lecturer receiver in accordance with the selection criteria set out in the admission lecturer Decree Chairman of the College of Informatics Computer (STIKOM) Artha Buana Kupang No.013/SK/KET/STIKOM-AB/III/2013 the GPA (Grade Point Average), TPA Value (Academic Potential Test), TOEFL (Test Of English as a Foreign Language), and Age. All the assessment criteria and weights are stored in a database and then do the calculation by taking the weight of the value stored in the database according to criteria of judgment. The output of the assessment process with the incorporation of this method in the form of weighting and ranking the results based on the weight of the teacher candidates have been calculated by combining the methods of SAW and TOPSIS methods. Based on the results of this test showed SPK under the merger method of SAW and TOPSIS in applications built ApeMDos able to help the decision making process of selection acceptance lecturer at the College of Informatics Computer (STIKOM) Artha Buana Kupang

Item Type: Thesis (S2)
Uncontrolled Keywords: Keywords: SAW, TOPSIS, Lecturer Selection, DSS
Subjects: Magister Teknik Informatika > Enterprise Inf System
Divisions: Pasca Sarjana > Magister Teknik Informatika
Depositing User: Editor UAJY
Date Deposited: 20 Nov 2013 09:49
Last Modified: 20 Nov 2013 09:49
URI: http://e-journal.uajy.ac.id/id/eprint/4360

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