ANALISIS SENTIMEN OPINI MASYARAKAT TERKAIT PENGGUNAAN MOBILE JKN PADA MEDIA SOSIAL X DENGAN PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (KNN) DAN LOGISTIC REGRESSION (LR)

ANALISIS SENTIMEN OPINI MASYARAKAT TERKAIT PENGGUNAAN MOBILE JKN PADA MEDIA SOSIAL X DENGAN PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (KNN) DAN LOGISTIC REGRESSION (LR)

Mobile JKN, sentiment analysis, social media X, K-Nearest Neighbor (KNN), Logistic Regression (LR)

BPJS Kesehatan launched the Mobile JKN application in 2017 to enhance healthcare accessibility and
simplify membership management. As of September 2024, 98.67% of Indonesia’s population has joined
the JKN program, highlighting the importance of public opinion in the application’s development. This
study analyzes public sentiment toward Mobile JKN through the social media platform X using the KNearest Neighbor (KNN) and Logistic Regression (LR) algorithms. From 4,777 reviews, 4,648 clean data
were obtained after Preprocessing and labeled using IndoBERT, resulting in 2,066 positive reviews and
2,581 negative reviews. The Evaluation results show that KNN achieved an accuracy of 83.87%, while LR
performed better with 87.85% along with higher precision, recall, and f1-score.
The findings reveal the dominance of negative sentiment in user reviews and provide insights for BPJS Kesehatan to improve Mobile JKN into a more responsive application that meets users’ needs and
feedback.

Kelvin Valensio Hematang, Nengah Widya Utami , I Nyoman Purnama

https://ojs.itb-ad.ac.id/index.php/JUSIN/article/view/3232/712

Institut Teknologi dan Bisnis Ahmad Dahlan.

2025-12-23

Sri Wahyuni

E-ISSN : 2797-8516

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Indonesian

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