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All Journal Journal Social Science And Technology For Community Service Jurnal Ilmiah Informatika dan Ilmu Komputer
Hairun, Radina Hamza
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media

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Sosialisasi dan Pendampingan sebagai Upaya Peningkatan Kualitas Pemilih untuk Meningkatkan Efisiensi dan Efektivitas Pemilihan Kepala Daerah Hadad, Sitna Hajar; Hairun, Radina Hamza; Nurnela, Nurnela
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 1 (2024): Volume 5, Nomor 1, March 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i1.4095

Abstract

Regional elections are a democratic process that provides an opportunity for the people of a region to directly elect their leaders. This process is an important milestone in a country's political system at the local level, where voters have the power to choose figures deemed capable of representing and leading their region towards better progress and prosperity. Assistance in regional elections is a strategic effort to improve the quality of voters with the ultimate goal of increasing the efficiency and effectiveness of the entire election process. The results of the level of understanding of the activities that took place in the Bimtek activities for regional head elections showed a positive impact in improving participants' understanding and skills related to the regional head election process. Based on the evaluation conducted, the results showed a significant improvement in participants' understanding of various aspects of the election, including legal procedures, implementation techniques, supervision, and dispute resolution. Bimtek participants showed an increased clear understanding of their roles and responsibilities in regional elections. They become more skilled in planning and managing the electoral process, including logistical arrangements, voting procedures, and reporting results.
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 Abdullah, Muksin Hi Nurnela Nurnela, Nurnela Sitna Hajar Hadad