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All Journal Journal of Ethics and Character Education Jurnal TAM (Technology Acceptance Model)
Fauzi Fauzi
Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics

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IMPLEMENTASI SISTEM INFORMASI AKADEMIK BERBASIS WEB MOBILE PADA SMA PGRI PAGELARAN Raihan Nabih Prayoga; Fauzi Fauzi
JECE (Journal of Ethics and Character Education) Vol. 3 No. 1 (2025): JECE (Journal of Ethics and Character Education)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jece.v3i1.157

Abstract

In the field of education, access to accurate and timely information is a crucial factor in supporting institutional development and academic effectiveness. Along with the rapid digital transformation, educational institutions are increasingly required to adopt computerized systems to improve the quality of academic services. However, many schools still rely on manual data processing methods or simple tools such as Microsoft Excel, which are prone to human error, data inconsistency, and inefficiency in data retrieval across departments. This study focuses on the design and implementation of a web mobile based Academic Information System at SMA PGRI Pagelaran, which previously managed academic data manually. The existing system caused delays, difficulties in data searching, and reduced effectiveness in academic administration. To address these challenges, a web-mobile academic information system was developed to support academic processes more efficiently. The research employed the Waterfall development method, consisting of requirement analysis, system design, implementation, testing, and maintenance. Data collection techniques included observation, interviews, questionnaires, and literature study. System modeling was designed using Unified Modeling Language (UML), including use case diagrams, activity diagrams, and class diagrams. The system was developed using PHP as the programming language and MySQL as the database. The resulting system enables efficient management and access to academic data such as student records, teacher data, grades, attendance, schedules, and school information through mobile devices, thereby improving operational efficiency, data accuracy, and information accessibility for stakeholders.
SENTIMENT ANALYSIS OF TWITTER (X) USERS TOWARD THE KOPERASI DESA MERAH PUTIH PROGRAM USING SUPPORT VECTOR MACHINE AND NAIVE BAYES METHODS Fauzi Fauzi; Bertha Andini; Muhamad Muslihudin
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1834

Abstract

The emergence of social media as a digital public sphere has opened significant opportunities to capture public opinion directly, including on social programs such as the Koperasi Desa Merah Putih. This program has attracted considerable attention on Twitter; however, public perception remains mixed, ranging from support and skepticism to criticism. This study aims to understand public sentiment through text analysis using two classification algorithms: Naive Bayes and Support Vector Machine (SVM). The results show that Naive Bayes performs better in balancing predictions, achieving an AUC of 0.71 and an F1-score of 0.62. In contrast, SVM, despite a slightly higher accuracy (0.69), was only effective in identifying the neutral class. This tendency indicates that Naive Bayes is more capable of capturing opinion variations in short and unstructured texts such as tweets. Furthermore, the sentiment distribution reveals a dominance of neutral opinions, suggesting the public's inclination to share factual information without explicit emotional expression.
Co-Authors Bertha Andini Muhamad Muslihudin Raihan Nabih Prayoga