Skip to content
Review

Eksplorasi Persepsi Pengguna Aplikasi Gojek Menggunakan Model RoBERTa pada Data Ulasan Google Play Store

· 0 citations · 19 references

TL;DR

The results indicate that the RoBERTa model is effective for sentiment analysis of Indonesian-language application reviews, but requires better labeling strategies and data augmentation to improve neutral class performance.

View source

Similar papers

Review Open access Sep 2026

Klasifikasi Sentimen Ulasan Pengguna Aplikasi Alfagift Menggunakan Metode Support Vector Machine Berbasis TF-IDF

The rapid development of digital technology has driven the increasing use of mobile applications in the retail sector, one of which is the Alfagift application developed by PT Sumber Alfaria Trijaya Tbk. User reviews on Google Play Store contain valuable information regarding user satisfaction and complaints, yet their...

Nazwa Asyifa, S. Susanto · 0 citations
Review Open access Jul 2026

Analisis Sentimen Ulasan Pengguna Aplikasi Shopee Indonesia Menggunakan Algoritma Random Forest

The analysis of feature importance shows that positive sentiment is dominated by words related to delivery speed and price, while negative sentiment is dominated by complaints about system errors, sellers, and refund processes, which can be used by application managers to prioritize service improvements.

Sopi Sapriadi, Rahmatia Wulan Dari, Y. Eirlangga · 0 citations
Review Open access Jul 2026

Analisis Sentimen Ulasan Aplikasi Duolingo di Google Play Store Menggunakan Algoritma Bidirectional Long Short-Term Memory (Bi-LSTM)

Overall, the study confirms that Bi-LSTM is a suitable deep learning approach for sentiment classification of application reviews and offers meaningful insights that can support Duolingo developers in evaluating user opinions and enhancing application quality.

Muhammad Nasrullah, Abdul Azis, Intan Mila Hakim · 0 citations
Review Open access Aug 2026

ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI IDENTITAS KEPENDUDUKAN DIGITAL MENGGUNAKAN SUPPORT VECTOR MACHINE RANDOM FOREST

Abstract: The Digital Population Identity (IKD) application allows citizens to access population documents electronically. Service evaluations can be found in user reviews on the Google Play Store, but manual analysis is challenging due to their large and unstructured volume. This study analyzes the sentiment of IKD us...

Atiqa Auliana Fitri, Y. Yuhandri, Rini Sovia · 0 citations
Review Open access Jul 2026

Analisis Sentimen Ulasan Aplikasi Threads Pada Google Play Store Menggunakan Algoritma Support Vector Machine

Investigation of user sentiment toward the Threads app through review classification indicates that the method used is capable of identifying user opinions and can be used as a basis for evaluating improvements in app service quality.

Sabar Rendy Samuel Silalahi, Garno Garno, Iqbal Maulana · 0 citations
Review Open access Aug 2026

Analisis Sentimen Ulasan Aplikasi Transportasi Online menggunakan IndoBERT dan Explainable AI (LIME)

Gojek and Grab are two leading online transportation platforms in Indonesia, receiving millions of user reviews on the Google Play Store. Previous studies analyzing reviews of both applications have generally produced final sentiment classifications without transparently explaining why a review is categorized into a pa...

Daffa Putra Emeral · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.