Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Image of KLASIFIKASI TREN TUGAS AKHIR MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA UNIVERSITAS SRIWIJAYA DARI TAHUN 2019 – 2023 MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION (LDA)

Skripsi

KLASIFIKASI TREN TUGAS AKHIR MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA UNIVERSITAS SRIWIJAYA DARI TAHUN 2019 – 2023 MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION (LDA)

Kamal, Muhammad Raihan Aufa - Personal Name;

Penilaian

0,0

dari 5

The final project is a critical component of higher education, particularly in computer science and informatics, which continues to evolve rapidly, influencing the direction of academic research. This study aims to classify the trends in final project topics among students of the Informatics Engineering Program at Universitas Sriwijaya during the 2019–2023 period using the Latent Dirichlet Allocation (LDA) method. By applying hyperparameter tuning to a dataset of 2027 data, the LDA model demonstrated an improvement in coherence score from 0.34941 to 0.45613, highlighting its capability to effectively reduce word dimensions. The LDA analysis successfully identified six primary topics, including artificial intelligence, decision support systems, and information security, with visualizations such as word clouds and bar charts illustrating annual topic distributions. The study revealed a shift in research focus, with decision support systems being the dominant topic, while artificial neural networks and data-based algorithms showed increasing relevance. These findings conclude that the application of the LDA method is effective in identifying student research trends and provides valuable insights into the dynamics of final project topics over the analyzed period.

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507005968	T184593	T1845932025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1845932025
Publisher: Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation: xv, 138 hlm.; ilus.; tab.; 29 cm.
Language: Indonesia
ISBN/ISSN: -
Classification: 006.307
Content Type: Text
Media Type: unmediated
Carrier Type: other (computer)
Edition: -
Subject(s): Kecerdasan Buatan
Prodi Teknik Informatika
Specific Detail Info: -
Statement of Responsibility: MI

Other version/related

Title	Edition	Language
PENERAPAN INDOBERT UNTUK ANALISIS SENTIMEN DAN LATENT DIRICHLET ALLOCATION (LDA) UNTUK PEMODELAN TOPIK PADA ULASAN APLIKASI BANK SUMSELBABEL MOBILE		id

File Attachment

KLASIFIKASI TREN TUGAS AKHIR MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA UNIVERSITAS SRIWIJAYA DARI TAHUN 2019 – 2023 MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION (LDA)

Comments

You must be logged in to post a comment