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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Journal of Informatics Management and Information Technology
Mochamad Dedy Subekti Rahardjo
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Computer Science & IT

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Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Menerapkan Metode AHP dan MOORA Mochamad Dedy Subekti Rahardjo
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 5 (2024): RESOLUSI May 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i5.1896

Abstract

This decision support system research method is used for racing in order to help vocational high schools (SMK) in determining the selection of outstanding teachers. In this selection of outstanding teachers, the method of selection is still using a manual system, which is based on observations from the principal directly by selecting teachers who are considered to have excellence based on predetermined criteria, for example having special achievements, having perseverance, activeness in school, attendance, and social relationships. For this research, the methods used in selecting outstanding teachers are Analytical Hierarchy Process (AHP) for weighting and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) in ranking purposes. The result for this research is that the combination of AHP and MOORA methods in determining outstanding teachers can be used. SPK can show information according to what the user enters correctly.
Analisa Perbandingan Metode MAUT dan WASPAS Dalam Menentuan Tempat Pelatihan Kursus Computer Terbaik Mochamad Dedy Subekti Rahardjo
Bulletin of Computer Science Research Vol. 5 No. 1 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i1.379

Abstract

This study aims to analyze the comparison of two multi-criteria decision-making methods, namely Multi-Attribute Utility Theory (MAUT) and Weighted Aggregated Sum Product Assessment (WASPAS) in determining the best computer course training place. The background of this study is based on the need to choose a training place that is in accordance with various important criteria such as teacher quality, facilities, costs, and institutional reputation, which often cause difficulties in decision making. The main problem faced is how to choose the most effective and efficient method in providing accurate results according to user preferences. For this reason, the two methods are compared based on their ability to process multi-criteria data by considering the weight and utility of each alternative. This study uses a quantitative approach by collecting data from several computer course places in a certain area and applying both methods to assess the performance of each place. Thus, the final ranking results show consistency in choosing the best alternative. The Multiicom alternative (AT5) is ranked first in both methods, with a value of 0.940 in the MAUT Method and 0.962 in WASPAS.
Sistem Pendukung Keputusan Pemilihan Media Chatting Terbaik Menggunakan Metode MAUT Mochamad Dedy Subekti Rahardjo
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.706

Abstract

The development of technology is increasingly widespread so that it can make it easier for us to carry out all activities / activities. For example, such as communicating even though they are far away. By using media which is now very rapidly developing, the media are Whattsap, Instagram, Facebook and so on, but in the selection of chat media there is often confusion because there are too many features contained in the chat media. so in this study there are 5 criteria including Storage Media, Security, Application Features, Appearance / Interface, and Network Data Usage. So that in solving this problem, a decision support system is needed with the help of a method to get a fast and accurate final result. So in this study, with the title of selecting the best chat media, the best ranking results were found in A2, the name of the media Instagram with a total value of 0.1623.
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