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Journal : Innotech

PREDIKSI BIAYA LOGISTIK MENGGUNAKAN METODE K-MEANS Widodo, Abung; Widyastuti, Rifka; Arisena Hendrawan, Satya
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 1 (2024): Innotech Issue Januari 2024
Publisher : Universitas Siber Indonesia

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Abstract

K-Means Clustering is a non-hierarchical data clustering method that groups data in the form of one or more clusters/groups. The role of costs is very important and cannot be separated from the activities of a company. The GAP between operational costs and work unit business exceeds the breakdown costs, causing an increase in operational costs every year. Financing logistics needs can be done with this method because this method can select and group clusters to be made which are considered suitable for operational costs which have a number of different groupings. It also aims to optimize the use of costs and optimize company profits. In the first experiment using 3 centroid cluster centers obtained randomly. The 3 centroid centers used in financing the company's operations are office maintenance costs, machine maintenance costs, and stationery costs which are grouped in the 2020 and 2021 periods for each operational cost date. This grouping aims to increase operational cost efficiency and increase the company's profits more optimally.
Metode End User Computing Satisfication untuk Analisis Kepuasan Pengguna E-Learning MyCyber Hendrawan, Satya Arisena; Muthmainnah, Syifa Nurlaeli
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

There is an error in the attendance recording, as well as a lack of notification features and replayable instructional videos. These issues impact user satisfaction and experience when engaging with the E-Learning of MyCyber. A study was conducted on the Indonesian Cyber University e-learning website to measure user satisfaction using the End User Computing Satisfaction (EUCS) method. Data collection was carried out through observation, literature review, and questionnaires. Partial analysis of user satisfaction from 80 active student respondents at Indonesian Cyber University revealed that 3 variables positively influenced user satisfaction: accuracy, ease of use, and timeliness, while content and format did not have a significant effect. Meanwhile, the simultaneous test results showed that the variables content, accuracy, format, ease of use, and timeliness influenced the satisfaction of users of the Indonesian Cyber University e-learning website by 83.8%. Recommendations for Indonesian Cyber University include improving and optimizing its e-learning website, particularly in content and information presentation, to enhance user satisfaction when using the E-Learning.