Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknik Informatika (JUTIF)

Sentiment Analysis and Topic Modeling for Discovering Knowledge in Indonesian Mobile Government Applications Hamid, Ricky Bahari; Andriansyah, Chandra; Sensuse, Dana Indra; Lusa, Sofian; Elisabeth, Damayanti; Safitri, Nadya
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.4991

Abstract

The accelerated rate of government applications development in Indonesia has introduced new opportunities and challenges in delivering digital public services. While thousands of apps have been developed, systemic issues ranging from usability flaws to authentication failures persist, as reflected in user reviews on platforms like the Google Play Store. This study adopts a knowledge discovery approach to extract actionable insights from more than 17,000 user-generated reviews across three major government applications: Satusehat, Digital Korlantas, and M-Paspor. A hybrid methodology is applied, combining RoBERTa-based sentiment classification, BERTopic-based topic modeling, cosine similarity analysis, and qualitative user validation. The findings reveal recurring issues in authentication, interface design, and system responsiveness that span across organizational boundaries. Cross-app topic correlation highlights critical shared pain points such as login failures and unintuitive UI that undermine user trust in e-government services. Mapping these insights onto the SECI knowledge management model, this research contributes both practical recommendations and a replicable analytical framework for public agencies seeking to institutionalize user feedback. By transforming fragmented digital feedback into organizational knowledge, this study supports continuous service improvement and strengthens the foundation for user-centric e-government.
Analysis of Public Sentiment Indonesia’s Personal Data Protection Law: A Comparison of SVM and IndoBERT on X Platform Kurniawati, Yulia; Hamid, Ricky Bahari; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofiyanti
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5415

Abstract

The high number of data misuses, thefts, and leaks led to the enactment of the PDP Law, which regulates the rights and obligations of data owners and electronic system providers. The purpose of this study is to examine the public’s response to the implementation of the law through the X platform, using tweet harvest as a scraping tool, and to evaluate model performance through a comparative approach between SVM and BERT. The feature extraction used in this study is TF-IDF for SVM and BERT with IndoBERT. The accuracy results indicate that BERT is better with an accuracy of 86% compared to SVM with a training and test data ratio of 85:15. This advantage is because BERT can understand linguistic context that SVM cannot. On the other hand, SVM has advantages in computational efficiency and faster processing, making it a suitable choice in situations with limited computational resources. The sentiment analysis result revealed that data protection,  digital footprint and the institution's role were the most frequently discussed topics. Furthermore, periodic or real-time evaluations can be conducted on the public's response to the PDP Law to ensure it remains aligned and relevant to technological developments and societal needs.
Co-Authors Abdullah, Puja Putri Aditya, Silfa Kurnia Alfiani, Husna Altino, Iqbal Caraka Amir, Sopian Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Aprilia, Relaci Apriyana, Yeni Ariani, Septi Assaf Arief, Assaf Asykar, Mahmud Ali Azhari Rangkuti, Herry Baskoro, Aji Brillianto, Bramanti Cahyaningsih, Elin Dana Indra Sensuse Dea Valentina Devit Setiono Editha Putri, Sabrina Elisabeth , Damayanti Elisabeth, Damayanti Erisa Rizkyani Eva Hidayati, Isnina Farhan Fitriya, Ghina Ghaisani, Amanda Hadjar, Siti Hamid, Ricky Bahari Handoko, Lutvianto Pebri Hudoarma, Fathurahman Ma'ruf Husain Husain Inayah, Suci - Indra Sensuse , Dana Indra Sensuse, Dana Indra, Muhammad Nadhirsyah Indriasari , Sofiyanti Indriasari, Sofianti Iriyanti, Iindra Irmayani, Irni Jallow , Fatoumatta Binta Jannah, Miskol Jasir, Khalid Khusnu Perdani, Mizana Kunto D.A , Himawan Kurnia Aditya, Silfa Masbudi, Handika Muhammad Rizki Mutia Mayanda , Alia Nadya Safitri Nadya Safitri, Nadya Nur Chasanah Nur Chasanah Nur Indrawati, Nur Nurcholis Ramlan Nuswantara, Prasetya Gilang Patria, Nusandika Pradipta, Dhea Junestya Prasetyo Adi Prasetyo Adi Wibowo, Prasetyo Adi Prastowo, Rahardito Dio Pratiwi, Maharani Eka Prima, Pudy Purnomo, Dencaswo Putri, Sabrina Editha Putro , Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo Raafigustina, Try Annisa Ramadhan, Yudistira Richi R. Siregar, Jani Ridwan Afandi Rina Rahmawati, Rina Riri Satria Rizki Kurniawan, Rizki Rizky, Fajar Ruliputra, Ricky Nauvaldy Saddam, Muhammad Samidi Samidi, Samidi Saputro, Singgih Dwi Sayyidah, Mutia Sensuse, Dana I. Sihombing , Boy Sandi Kritian Sinaga, Andri Parulian Sitompul, Sabar Sofiyanti Indriasari Sudarto, Reska Nugroho Tereuri, Shabrina Trimanadi, Raden Vinc, Richard Wibowo Putro, Prasetyo Adi Wibowo, Wahyu Setyawan Yaziji, Warda Yulia Kurniawati