Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Eugenius Kau Suni
Universitas Katolik Indonesia Atma Jaya, Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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
Rancang Bangun Aplikasi Petani Sawah Sugita Menggunakan Algoritma Dijkstra Untuk Mempermudah Penjualan Hasil Pertanian Stephen Aprius Sutresno; Eugenius Kau Suni
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4279

Abstract

In general, the buyers of rice field produce are often middlemen who offer the lowest possible prices to the farmers. This is due to the lengthy distribution chain that causes a significant price difference between the low prices paid to farmers for their rice and the high prices consumers pay for milled rice. Therefore, in an effort to cut out the distribution chain that disadvantages both farmers and consumers, the idea of developing the Petani Sawah Sugita mobile-based application emerged. This application enables farmers to sell their rice and milled rice directly to consumers at prices that benefit both parties. The research was conducted by applying the four main stages of the SDLC. The requirements analysis phase involved observations and direct interviews with farmers in one of the rice fields located in the Ciasuk area, Tangerang Regency, Banten. The design phase was carried out by creating UML diagrams. The implementation phase was done with the assistance of Android Studio, resulting in the Sugita Rice Field Farmer mobile application. The application's standout feature is the location search for farmers or nearest products from users, built using the Dijkstra algorithm. The system testing phase was performed using black box testing. The test results showed that 105 out of 114 test cases, or 92.1%, met the expected outcomes. In conclusion, the development of the Sugita Rice Field Farmer application proceeded well and was successfully implemented. This application can help reduce product delivery costs and foster relationships between users and farmers. Furthermore, it simplifies the process for farmers to market their agricultural products to the wider community and provides valuable experience for farmers to stay up-to-date and leverage existing technology advancements.
Co-Authors Stephen Aprius Sutresno