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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Informatics and Data Science
Rohan Kristini Purba
Universitas Budi Darma, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Optimalisasi dalam Penentuan Keputusan Level Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) Menerapkan Metode Preference Selection Index Rohan Kristini Purba; Dendy Frans Gunawan Hutagalung; Ebenezer Maston Sinaga; Agustina Sidabutar; Mesran Mesran
Journal of Information System Research (JOSH) Vol 3 No 2 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.679 KB) | DOI: 10.47065/josh.v3i2.1247

Abstract

The Covid-19 pandemic is a disaster for the entire world, even affecting all aspects of human life, both in terms of economy, social and culture. Therefore, the government enacted a regulation called Large-Scale Social Restrictions (PSBB) to stop the spread of COVID-19. In this case, the government makes a policy to change the Large-Scale Social Restrictions (PSBB) into the Enforcement of Community Activity Restrictions (PPKM) where the PSBB Restrictions are stricter than the Enforcement of Community Activity Restrictions (PPKM). Because the absence of a system makes it difficult for the government and requires a long time in determining the level of implementation of restrictions on community activities (PPKM). In order to assist in determining the level of PPKM, a decision support system is needed. The Preference Selection Index (PSI) method is a method used in a decision support system using simple steps in problem solving. The results of the research obtained that the highest rank is A7 with a value of 0.767 as level 1. By using the range on the PPKM level so that level 1 is Sibolga. Level 2 does not exist in the above alternative. Level 3 is terrain, Binjai, Pematang Siantar, Tebing Tinggi, Gunung Sitoli, Padang Sidimpuan, Tanjung Balai, Samosir and Kisaran and level 4 is not in the alternatives.
Implementation of Weighted Product Method for Selection of Math Olympiad Participant Siti Khairunnisa; Vriska Amanda; Rohan Kristini Purba; Mesran Mesran
Bulletin of Informatics and Data Science Vol 2, No 1 (2023): May 2023
Publisher : PDSI

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Abstract

So far, the selection of participants for the Mathematics Olympiad still has a number of problems, including a teacher or principal choosing a subject based on eye grades, even though the Science Competition questions that are asked in cities, districts and within the country require other aspects, such as intelligence and experience in Mathematics Competitions. . In addition to the above, sometimes the teacher does not pay attention to all of the above aspects when selecting students, which makes the end result not optimal. In overcoming these problems a system was formed that supports results in the selection of people who will take part in math competitions. In this research, the authors use the Weighted Product method with the results of the research obtained is alternative A5 with a value of 0.2391 as the best alternative
Co-Authors Agustina Sidabutar Dendy Frans Gunawan Hutagalung Ebenezer Maston Sinaga Mesran, Mesran Siti Khairunnisa Vriska Amanda