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All Journal Bulletin of Electrical Engineering and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Building of Informatics, Technology and Science Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Teknik Informatika (JUTIF) Journal Social Science And Technology For Community Service Jurnal Ilmiah Informatika dan Ilmu Komputer CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Jurnal Informatika dan Rekayasa Perangkat Lunak
Sitna Hajar Hadad
Akademi Ilmu Komputer Ternate
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Metode Simple Multi-Attribute Rating Technique (SMART) dan Rank Reciprocal (RR) dalam Penentuan Penerima Beasiswa Hadad, Sitna Hajar
Journal of Data Science and Information Systems Vol. 2 No. 1 (2024): Volume 2 Number 1 February 2024
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v2i1.99

Abstract

The determination of scholarship recipients is a very important process in supporting the development of individual potential and the empowerment of human resources. This decision not only focuses on academic achievement, but also considers other aspects that reflect leadership values, social contributions, and economic needs. This study aims to apply the SMART method and the Reciprocal Rank weighting method in producing a decision to determine scholarship recipients at SMP XYZ. Weighting using Reciprocal Rank (RR) involves determining the relative weights for each criterion in decision making, and the Simple Multi-Attribute Rating Technique (SMART) can enrich and enhance the assessment process. The final result of ranking scholarship recipients with the integration of the Reciprocal Rank (RR) weighting method and Simple Multi-Attribute Rating Technique (SMART) showed rank 1 with a SMART final score of 0.752 obtained for alternative Student C, 2nd place with a SMART final grade of 0.679 obtained for alternative Student A, 3rd place with a final SMART score of 0.665 obtained for alternative Student B.
Multi Attribute Decision Making Penentuan Dosen Terbaik Menggunakan Metode Multi-Objective Optimization by Ratio Analysis dan Surrogate Weighting Hadad, Sitna Hajar; Abdullah, Muksin Hi; Nurnela; Hairun, Radina Hamza
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.24

Abstract

The best lecturers are people who not only have high academic expertise in their fields, but also have the ability to inspire and guide students well. The main problem in determining the best lecturer is subjectivity in the evaluation process. Evaluation of lecturer performance often tends to be based on parameters that are qualitative in nature and can be influenced by personal preferences, or subjective perceptions. This study aims to solve problems in the selection of the best lecturers using the MADM approach with the method used, namely MOORA in the selection of the best lecturers and the surrogate weighting method to determine the weight of criteria to be used in the selection of the best lecturers. The ranking results show no difference in ranking from the rank sum, rank order centroid, and reciprocal rank weighting methods. The results for rank 1 were obtained on behalf of ID Lecturers, rank 3 was obtained on behalf of SH Lecturers, and rank 3 was obtained on behalf of KU Lecturers, using the rank sum, rank order centroid, and rank reciprocal weighting methods. The comparison results that the rank sum, rank order centroid, and reciprocal rank weighting methods are very suitable in recommending the best lecturers by applying the MOORA method. The combination of rank sum weighting method and MOORA, the combination of rank order centroid and MOORA weighting method, and the combination of reciprocal rank weighting method and MOORA there is no difference in the final ranking of the best lecturers.
Co-Authors A. Thais, Iswan Abdullah, Muksin Hi Abhishek R Mehta Abjan Samad Abjan Samad Aditia Yudhistira Ahmad Ari Aldino Ahmad Ari Aldino Ambarita, Arisandy Arie Qur’ania Arshad, Muhammad Waqas Asistyasari, Ayuni Chandra, Iryanto Dedi Darwis Gibtha Fitri Laxmi Hairun, Radina Hamza Heni Sulistiani Ibrahim, Adelina Ismail, Risandi J Iswan A. Thais Julkifli Muksin Kasmawati . Megawaty, Dyah Ayu Moch Teguh Priyanto Mudar Safi Munawir A. Hi Musa Nurnela Nurnela, Nurnela Nuryaman, Yosep Palupiningsih, Pritasari R Metha, Abhishek Rumaf, Nurdin Safi, Mudar Setiawansyah Setiawansyah Subhan Subhan Sufiatul Maryana Turuy, Seh Wang, Junhai Yuri Rahmanto