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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika dan Rekayasa Komputer
Hakim, Muhammad Furqan
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Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Other

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Analysis of the Adoption of INLISLite Library Information System with the UTAUT Model Approach at SMA Negeri 1 Jambi City Hakim, Muhammad Furqan; Assegaff, Setiawan; Kurniabudi
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i1.214

Abstract

SMA Negeri 1 Kota Jambi has been implementing the INLISLite library information system for seven years. However, there has not been a comprehensive evaluation of the level of success of this system. This study aims to measure the level of user acceptance of the INLISLite library information system and the factors that influence it, using the UTAUT (Unified Theory of Acceptance and Use of Technology) model. The variables used in the UTAUT model include performance expectancy, effort expectancy, social influence, and facilitating conditions. This study also considers the moderating effect of gender and age. Data were collected through questionnaires distributed to 285 respondents, consisting of teachers, students, and staff of SMA Negeri 1 Kota Jambi. Data analysis was carried out using SEM (Structural Equation Modeling) techniques through SmartPLS 4.0 software. The results showed that effort expectancy and facilitating conditions significantly influence the acceptance of INLISLite users. However, performance expectancy and social influence do not have a significant effect. Gender and age do not moderate the relationship between variables in the UTAUT model
Analisis Prediksi Kelulusan Mahasiswa Universitas Dinamika Bangsa Menggunakan Metode Naïve Bayes Hakim, Muhammad Furqan; Saputra, Sahril
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.1999

Abstract

In order to facilitate the learning process, Universitas Dinamika Bangsa (UNAMA) has a database. Every year, the alumni data gets larger, and the database can be used. Utilising alumni data involves classifying and analysing long-term study periods of Universitas Dinamika Bangsa (UNAMA) students using the naïve bayes method.The results of the naïve bayes classification in the student of information system with the highest accuracy are obtained by using the Use Training Set, which consists of 161 correctly classified instances and 39 incorrectly classified instances, with an accuracy percentage of 85% for correctly classified instances and 19.5% for incorrectly classified instances. The results of attribute selection using the Classifier Attribute Evaluation algorithm (ClassifierAttributeEval) indicate that IPK is the attribute that has the greatest influence on kelulusan speed. Akurasi in the model is calculated using a confusion matrix, and at the beginning of the data-data mahasiswa, there is a lot of noise, which is revealed through the data cleaning process. It is the process of reducing noise in data using Microsoft Excel, which the author typically uses to analyse data From of information System students. Overall accuracy is 77.5%, which is a very good accuracy when analysing training data.
Co-Authors Kurniabudi saputra, sahril Setiawan Assegaf