Azira, Volem Alvaro (2025) RANCANG BANGUN SISTEM EVALUASI KEPUASAN AKADEMIS DAN ANALISIS TOPIK PADA KOMENTAR MENGGUNAKAN LATENT DIRICHLET ALLOCATION (Studi Kasus: Gugus Kendali Mutu Fakultas Ilmu Komputer UPN Veteran Jawa Timur). Undergraduate thesis, UPN Veteran Jawa Timur.
![]() |
Text (COVER)
21081010003_COVER.pdf Download (893kB) |
![]() |
Text (BAB I)
21081010003_BAB I.pdf Download (147kB) |
![]() |
Text (BAB II)
21081010003_BAB II.pdf Restricted to Repository staff only until 17 March 2027. Download (305kB) | Request a copy |
![]() |
Text (BAB III)
21081010003_BAB III.pdf Restricted to Repository staff only until 17 March 2027. Download (2MB) | Request a copy |
![]() |
Text (BAB IV)
21081010003_BAB IV.pdf Restricted to Repository staff only until 17 March 2027. Download (7MB) | Request a copy |
![]() |
Text (BAB V)
21081010003_BAB V.pdf Download (75kB) |
![]() |
Text (DAFTAR PUSTAKA)
21081010003_DAFTAR PUSTAKA.pdf Download (78kB) |
![]() |
Text (LAMPIRAN)
21081010003_LAMPIRAN.pdf Restricted to Repository staff only until 17 March 2027. Download (231kB) | Request a copy |
Abstract
Gugus Kendali Mutu Fakultas (GKMF) is an organization responsible for managing and ensuring the quality of education at the faculty level. At the Faculty of Computer Science, University of Pembangunan Nasional Veteran East Java, GKMF has conducted learning evaluations involving student feedback. However, the use of third-party applications has limitations, especially in analyzing large volumes of unstructured text data, such as those often found in student comments. Therefore, an Academic Satisfaction Evaluation System was developed, incorporating the Latent Dirichlet Allocation (LDA) topic modeling algorithm to analyze the main topics in the comments. The entire system and analysis were implemented using JavaScript programming language and the MERN Stack technology (MongoDB, Express.js, React.js, Node.js). From this study, LDA generated 10 topics, with the highest topic coherence value found in topic 6 at 0.495635. This topic relates to student suggestions for improving the quality of teaching, which is expected to help students better understand course material.
Item Type: | Thesis (Undergraduate) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Contributors: |
|
||||||||||||
Subjects: | T Technology > T Technology (General) | ||||||||||||
Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
Depositing User: | Volem Alvaro Azira | ||||||||||||
Date Deposited: | 17 Mar 2025 05:02 | ||||||||||||
Last Modified: | 17 Mar 2025 05:02 | ||||||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/35814 |
Actions (login required)
![]() |
View Item |