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All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Ipteks Terapan Journal of Applied Engineering and Technological Science (JAETS) Jurnal Nasional Teknik Elektro dan Teknologi Informasi JAIA - Journal of Artificial Intelligence and Applications SATIN - Sains dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT INOVTEK Polbeng - Seri Informatika
Erlin
Institut Bisnis Dan Teknologi Pelita Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics

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Analisis Sentimen Terhadap Ulasan Aplikasi IKD di Play Store Menggunakan Random Forest Kelvin H.; Erlin; Yenny Desnelita; Dwi Oktarina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.20473

Abstract

The rapid growth of digital applications in population administration services has increased the importance of sentiment analysis to understand user perceptions more deeply. This study focuses on the Digital population identity (Identitas Kependudukan Digital, IKD), a digital identity application developed by the Indonesian government. It aims to classify user reviews of the IKD application into positive, neutral, and negative sentiments using the random forest algorithm. The dataset consisted of 28,134 user reviews from the Google Play Store, including usernames, review texts, timestamps, and star ratings. The research stages included data preprocessing, labeling, handling missing values, and text processing (cleansing, tokenizing, stopword removal, and stemming). The data were divided into 80% training and 20% testing sets. The best-performing model used the parameters: max_depth=None, max_features=log2, min_samples_leaf=1, min_samples_split=2, and n_estimators=300, achieving an average accuracy of 83.78%. To address class imbalance, the synthetic minority oversampling technique (SMOTE) was applied, resulting in improved performance with an accuracy of 86.29%. Evaluation metrics before SMOTE showed 83.85% accuracy, 80.40% precision, 83.85% recall, and 81.73% F1 score. After SMOTE, precision increased to 81.22%, while accuracy and recall slightly decreased to 80.86%, with an F1 score of 81.03%. Furthermore, sentiment trend analysis using N-gram techniques (unigram, bigram, trigram) was conducted to identify frequently mentioned topics and user concerns. These insights support the research objective of guiding application improvements aligned with user needs and enhancing the overall digital service experience.
Co-Authors Adiya, M. Hasmil Agustin Ahmad Zamsuri Alyauma Hajjah Anam, M Khairul Arda Yunianta Boby Hasbul Fikri Dahliyusmanto, Dahliyusmanto Deny Jollyta Desnelita, Yenny Devi Willieam Anggara Dewi Nasien Dian Puspita Didik Sudyana Dwi Oktarina Fenly, Fenly Fransiskus Zoromi Gusrianty, Gusrianty Hamdani - Hanafiah, Anggi Hasan J. Alyamani Herwin Herwin, Herwin Hidayatullah Nuriadi, Siti Johan Josef Sianturi Junadhi Junadhi Kelvin H. Khusaeri Andesa Laili Suryati M. Wino Adi Putra Marlim, Yulvia Nora Muhammad Bambang Firdaus Muhammad Fatroni, Muhammad Muhammad Rosyadi Nora Lizarti Noratama Putri, Ramalia Nova Agustina Nurliana Nasution, Nurliana Oktariana, Dwi Rahmaddeni Rahmaddeni Rahmiati Ramalia Noratama Putri Reny Marissa Rohana Yola Parastika Hutasoit Sugiono Sugiono Susanti, Susanti Triyani Arita Fitri Unang Rio Yusnita Rahayu Yusuf Nuron Zukri Julisman