Jurnal Media Informatika
Vol. 6 No. 3 (2025): Jurnal Media Informatika

Perbandingan Metode Naïve Bayes dan K-Nearest Neighbor Terhadap Sentimen Analisis Pinjaman Online

Siki, Yovinia Carmeneja Hoar (Unknown)
Tokan, Thomas Boris Asalodan (Unknown)
Manehat, Donatus Joseph (Unknown)
Ngaga, Emerensiana (Unknown)
Mau, Sisilia Daeng Bakka (Unknown)



Article Info

Publish Date
08 Apr 2025

Abstract

This study aims to understand the public opinion in Indonesia regarding the existence of online loans. Online loans are a type of banking service through technology known as the Financial Technology (FinTech) Industry. According to a report by the Financial Services Authority, in August 2023, more than 13.37 million accounts were using this service. Online loan services are considered to provide convenience and comfort for consumers. However, many harmful cases have emerged, such as extremely high interest rates and aggressive debt collection practices that have caused public concern. Therefore, a sentiment analysis is conducted to understand public opinions, which can serve as a reference for online loan service providers and operators. By using 11,288 Indonesian-language tweets, the public opinion on online loans is analyzed. The study employs two sentiment analysis methods: Naïve Bayes and K-Nearest Neighbor. The results of the study show that the sentiment toward online loans is 62.29% negative, 33.19% neutral, and 5.52% positive. The results also indicate that the Naïve Bayes method has slightly higher accuracy (67%) compared to the K-Nearest Neighbor method (63%). It is hoped that this sentiment will have a positive impact on online loan service providers and operators.

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Journal Info

Abbrev

jumin

Publisher

Subject

Computer Science & IT

Description

1. IT Infrastructure and Security (ITIS): Information Security and Privacy Digital Forensics Network Security Cryptography Cloud and Virtualization Emerging Technologies Computer Vision and Image Ethics in Information Systems Human Computer Interaction Wireless Sensor Networks Medical Image Analysis ...