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All Journal Bulletin of Data Science Journal of Informatics, Electrical and Electronics Engineering
Halawa, Advent
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementasi Metode MOORA Dalam Pemilihan Mahasiswa Berprestasi Dimasa Pandemi Covid-19 Halawa, Advent; Malango, Monika Stefani; Syahrizal, Muhammad
Journal of Informatics, Electrical and Electronics Engineering Vol. 3 No. 1 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v3i1.1608

Abstract

Selection Of Outstanding Students is one of the activities usually carried out by every university or college in order to determine the level of performance of each student. In this case, the write conducts research on the Selection Of Outstanding Students with the aim of giving appreciation to students who have the best grades so that they become hope for future developments. In this study the authors use the MOORA (Multi-Objektive Optimization by Ratio Analysis) method as a Decision Support Sistem (DSS) in order to produce an objektive and accurate decision. This research was carried out during the covid-19 pandemic, which is a virus thet is hitting human health, characterized by coughs, flu, fever, no appetite, and so on. However, this condition does not rule out the possibility of students to exel, some strudents who become alternatives in the selection of outstanding students with criteria including GPA, Active Organization, Englis Ability, Achievement and warning letters. So as to produce the best reference value on alternative A3 on behalf of Viktor Zai with a value of  0.4522.
Implementasi Metode OCRA Dan ROC Rekomendasi E-Commerce Terbaik Dalam Peningkatan UMKM Al-Adawiyah, Robiah; Halawa, Advent
Bulletin of Data Science Vol 4 No 2 (2025): February 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v4i2.6434

Abstract

This research aims to implement the OCRA (Ordering and Ranking with Criteria) and ROC (Rank Order Centroid) methods in providing the best e-commerce recommendations to improve the performance of MSMEs (Micro, Small and Medium Enterprises). The OCRA method is used to assess various relevant criteria, such as cost, ease of use, and market reach, while ROC is used to determine the final ranking of each e-commerce platform. The research results show that Bukalapak received the highest final preference score of 0.2324, making it the main choice for MSMEs. It is hoped that these findings can help MSMEs choose the most suitable e-commerce platform, so that they can increase their competitiveness and business growth. This research makes a significant contribution to the development of digitalization strategies for MSMEs in Indonesia
Co-Authors Al-Adawiyah, Robiah Malango, Monika Stefani Muhammad Syahrizal