Applied Information Technology and Computer Science (AICOMS)
Vol 2 No 1 (2023)

Analisis Sentimen Twitter Menggunakan Algoritma Naive Bayes Pada Kasus Koperasi Simpan Pinjam Indosurya

sembiring, Ornensya (Unknown)
Rulfin Tiara Kiu , Elma (Unknown)
Nisa Meiah Ngafidin , Khairun (Unknown)



Article Info

Publish Date
19 Apr 2025

Abstract

The case of KSP Indosurya has once again attracted public attention after the alleged perpetrator, who is also the founder of the cooperative, was acquitted by the Chief Judge of the West Jakarta District Court of all charges. The ruling stated that while the defendant was proven to have committed the alleged acts, they did not constitute a criminal offense but rather a civil matter. This verdict sparked widespread public reaction and became a trending topic on Indonesian Twitter. Therefore, this study was conducted to identify and classify public sentiment regarding the KSP Indosurya case using the Naïve Bayes algorithm. The results show that negative sentiment dominated, leading to the conclusion that public sentiment on Twitter in Indonesia toward the KSP Indosurya case is predominantly negative. This conclusion is based on sentiment analysis of 1,200 data points using the Naïve Bayes method.

Copyrights © 2023






Journal Info

Abbrev

aicoms

Publisher

Subject

Computer Science & IT

Description

Applied Information Technology and Computer Science (AICOMS) is an online version of national journal in Bahasa Indonesia and English, published by Department of Informatics Engineering, Politeknik Negeri Ketapang. AICOMS also has a print version. AICOMS also invites academics and researchers in the ...