Skripsi

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

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507002877	T173436	T1734362025	Central Library (REFERENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1734362025

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xiii, 53 hlm.; ill.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

005.360 7

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem informasi

Specific Detail Info

-

Statement of Responsibility

TUTI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment