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Journal : Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)

Analisis Perilaku Pengguna Website Sistem Informasi Akademik Universitas Veteran Bangun Nusantara Sukoharjo Menggunakan Technology  Acceptance Model (TAM) Permadi, Asep; Irawati, Tri; Widada, Bebas
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

UNIVET BANTARA Sukoharjo has implemented a website which includes an academic information system. With this academic information system, it is intended that students can access information online anytime and anywhere. The website-based academic information system implemented by UNIVET BANTARA has undergone an update in 2019. So by updating the academic information system since 2019, it is hoped that students will feel comfortable in using the new system. Based on these problems, it is necessary to analyze the behavior of users of the new academic information system using the Technology Acceptance Model (TAM). The purpose of this study is to analyze the behavior of website users at Univet Bantara Sukoharjo by using the technology acceptance model method. In analyzing the data, the author uses Partial Least Squares (PLS) analysis, and the author develops an application to test the technology acceptance model method with the PHP programming language. The results showed that five of the six proposed hypotheses had a significant positive effect on the dependent variable with an effect value of 0,653 (65,3%), 0,447 (44,7%), 0,677 (67,7%), 0,520 (52,0%), 0,605 (60,5%) and one hypothesis had a significant negative effect on the value of 0,170 (17,0%)
Sistem Pendukung Keputusan Karyawan Magang Menjadi Karyawan Tetap Divisi Mekanik Menggunakan Metode AHP dan TOPSIS ( Studi Kasus di  Raihan Motor) Pulanggeni, Riko; Harsadi, Paulus; Sandradewi, Kumaratih; Febrianto, Raden Arie; Irawati, Tri
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

The process of determining which interns are eligible for permanent appointment in the mechanics division at Raihan Motor is still conducted manually and subjectively, potentially leading to inconsistent decision-making. This study aims to develop a Decision Support System (DSS) that assists leaders in objectively and measurably determining the best interns. The Analytical Hierarchy Process (AHP) method is used to determine the importance weights of each assessment criterion, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank alternative employees based on the criterion weights. The assessment criteria used include discipline, technical skills, responsibility, teamwork, and work ethic. The results of the study indicate that the system can provide recommendations for interns eligible for permanent appointment based on the highest preference value, thereby making the decision-making process more objective, effective, and consistent.