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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Media Statistika JOURNAL OF APPLIED INFORMATICS AND COMPUTING MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Informatika: Jurnal Pengembangan IT Parameter: Jurnal Matematika, Statistika dan Terapannya Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Statistics and Its Applications
Suhaeni, Cici
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics Other

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IndoBERT Optimization for Sentiment Analysis on DeepSeek App Reviews Sunan, Muh.; Resiloy, Unique Desyrre A.; Endriani, Desy; Suhaeni, Cici; Sartono, Bagus; Dito, Gerry Alfa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.107507

Abstract

In the digital era, sentiment analysis is important to evaluate public opinion, especially in the context of Play Store apps with Indonesian-language reviews. This research aims to improve the performance of the IndoBERT model in sentiment analysis of DeepSeek app reviews by using data augmentation and hyperparameter tuning techniques. Data augmentation is done through the back-translation technique, while the hyperparameters tested include the number of epochs, learning rate, and batch size. Experimental results show that the combination of data augmentation with epoch 10, learning rate 2e-5, and batch size 16 produces the highest accuracy of 93.95% and F1-score of 0.94, with better stability than the model without augmentation. The model without augmentation showed fluctuations in performance, indicating overfitting in some configurations. These findings confirm the importance of applying augmentation techniques and hyperparameter tuning in improving the accuracy and stability of sentiment analysis models, and contribute to the development of NLP models for Indonesian and other resource-constrained languages.
Co-Authors Abdullah, Adib Roisilmi Agus Mohamad Soleh Alfa Dito, Gerry Anang Kurnia Andespa, Reyuli Bagus Sartono Dito, Gerry Alfa Endriani, Desy Fahira, Fani Hari Wijayanto Kamila, Sabrina Adnin Kusman Sadik M Soleh, Agus Muhammad Yusran Nisrina Az-Zahra, Putri NURADILLA, SITI Resiloy, Unique Desyrre A. Saleh, Agus Muhammad Sari, Jefita Resti Sentana Putra, I Gusti Ngurah Sunan, Muh. Zahra, Latifah