ANALISIS SENTIMEN MAHASISWA TERHADAP SISTEM INFORMASI AKADEMIK UNIVERSITAS SRIWIJAYA MENGGUNAKAN METODE NAIVE BAYES

THURAYA, ZAFIRA and Ibrahim, Ali (2025) ANALISIS SENTIMEN MAHASISWA TERHADAP SISTEM INFORMASI AKADEMIK UNIVERSITAS SRIWIJAYA MENGGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

The Academic Information System (SIMAK) at Sriwijaya University frequently encounters access issues, unstable servers, and a less intuitive interface, which adversely affects user experience. Sentiment analysis utilizing Naïve Bayes on data from social media platform X (Twitter) reveals that 64% of sentiments are negative, primarily concerning technical problems and navigation difficulties. Conversely, 36% of sentiments are positive, with the majority of users appreciating the ease of accessing academic information. The Naïve Bayes model employed demonstrates an accuracy of 65%, indicating its effectiveness in sentiment classification, although there remains room for optimization. The predominant complaints from students relate to challenges faced during the course registration process, limited features, and slow system responses during peak periods, leading to dissatisfaction with SIMAK. On the other hand, students expressing positive sentiments believe that the system is quite helpful for accessing grades and academic information digitally. The findings of this analysis suggest that there are still areas requiring improvement for SIMAK to better meet the academic needs of students.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Naïve Bayes, Sistem Informasi Akademik
Subjects:	T Technology > T Technology (General) > T57-57.97 Applied mathematics. Quantitative methods
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Zafira Thuraya
Date Deposited:	21 May 2025 05:40
Last Modified:	21 May 2025 05:40
URI:	http://repository.unsri.ac.id/id/eprint/173436

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