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All Journal Building of Informatics, Technology and Science Jurnal Mantik Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Reswara: Jurnal Pengabdian Kepada Masyarakat
Stephen Aprius Sutresno
Atma Jaya Catholic University Of Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Building of Informatics, Technology and Science

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Rekomendasi Content Creator Terbaik sebagai Pendukung Keputusan Penilaian pada Agensi Menggunakan Metode TOPSIS Eugenius Kau Suni; Stephen Aprius Sutresno
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4082

Abstract

As an agency, it is necessary to evaluate and assign value to the content outcomes that have been published by content creators periodically. Aurora News Agency, which is one of the content creator agencies for Snack Video, has over 700 member content creators. This requires specialized techniques to facilitate and expedite the assessment of the performance of these content creators. Therefore, research was conducted on a decision support system using the TOPSIS method as a decision-making tool for evaluating the best content creators within the agency. Data was collected from a total of 630 content creators, and after undergoing data cleansing processes, a total of 10,916 content items were obtained. The research results present a ranking of the top 10 content creators based on their preference scores, ranging from the highest to the lowest. Anemz Tv is the content creator with the highest preference score of 0.4368, securing the first rank. On the other hand, Talenta.TV is the content creator with a preference score of 0.3203, earning the second rank. Upon analysis, differences in strategies for each content creator became apparent, with some focusing on quantity and others placing emphasis on the quality of content. In conclusion, the application of the TOPSIS method can be implemented relatively simply, with sufficiently fast computations, and it yields a diverse range of preference scores
Co-Authors Bernardus Alvin Rig Biafra Daffa Farabi Christine Dewi Denny Jean Cross Sihombing Dominikus Vieri Tegar Linestyo Elfin Saputra Eugenius Kau Suni Eugenius Kau Suni Eugenius Kau Suni Gerald Edgard Laukon Gilberto Dennis G E Sidabutar Gilberto Dennis G E Sidabutar Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Jesslyn Alvina Seah Julius Bata Octa Hutapea Pijar Karisma Prihanto Radyan Rahmananta Siemens Benyamin Tjhang Steven Mavish Vincentius Setiawan Suandi Yerik Afrianto Singgalen Yoel Krisrian