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Analysis of IT Service Quality on Attendance Application with ITIL V.4 Approach: A Case Study on CV. Syntax Corporation Indonesia Komarudin Komarudin; Muhammad Hatta; Chairun Nas
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 7 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i7.1219

Abstract

This study aims to analyze the quality of Information Technology (IT) services in attendance applications with the ITIL V.4 approach in CV. Syntax Corporation Indonesia. The case study is used as a research approach to explore information related to the implementation of ITIL V.4 in improving the quality of IT services in the company's attendance application. The results of the study show that the implementation of ITIL V.4 can make a positive contribution in improving the quality of IT services in attendance applications at CV. Syntax Corporation Indonesia, with improved efficiency, reliability, and responsiveness of services. By implementing the ITIL V.4 approach, companies can improve the overall IT service management process, so that it can have a positive impact on the productivity and operational effectiveness of the company.
Implementation of the Smart Indonesia Card Scholarship (KIP) Acceptance Using the K-NN Method (Case Study: Politeknik Siber Cerdika Internasional) Abi Surya Wijaya; Lena Magdalena; Chairun Nas
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1382

Abstract

This study discusses the implementation of the K-Nearest Neighbor (K-NN) method in the process of receiving the Smart Indonesia Card (KIP) scholarship at the Cerdika International Cyber Polytechnic. The main purpose of this study is to improve accuracy and efficiency in the selection of KIP scholarship recipients. The K-NN method was chosen because of its ability to classify data based on the proximity of features between samples. This research involves analyzing data on prospective scholarship recipients which includes variables such as academic achievement, economic conditions, and extracurricular activities. The results of the implementation of the K-NN method show that this method can be used as an effective tool in the selection process of KIP scholarship recipients, with a fairly high level of accuracy compared to traditional methods. This finding is expected to help the Polytechnic in increasing transparency and fairness in providing scholarships.