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All Journal Jurnal Buana Informatika JIKO (Jurnal Informatika dan Komputer) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JUTIM (Jurnal Teknik Informatika Musirawas) Jiko (Jurnal Informatika dan komputer) Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) MANDAR: Management Development and Applied Research Journal Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Information System Journal (INFOS) INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Informatika: Jurnal Pengembangan IT The Indonesian Journal of Computer Science
Nuri Cahyono
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Analisa Perbandingan Latent Semantic Indexing (LSI) dan Latent Dirichlet Allocation (LDA) untuk Topic Modelling Aplikasi Identitas Kependudukan Digital (IKD) Cahyono, Nuri; Nurcahyo, Narwanto; Restu Agung, Akmal Fauzan
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5970

Abstract

This study aims to analyze and compare two topic modeling methods, Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA), in understanding user reviews of the Digital Population Identity (IKD) Application obtained from the Google Play Store. The main problem addressed is the large number of user reviews with diverse topics that are difficult to categorize manually, necessitating an automated method to identify the main themes in the data. The research process began with scraping 5,000 recent reviews, followed by data preprocessing (Remove Punctuation, Lowercase, and Tokenization) and vectorization using Bag of Words and DOC2BOW. Subsequently, topic modeling was performed using LSI and LDA, and the results were evaluated using the Coherence Score metric. The findings indicated that Latent Dirichlet Allocation (LDA) outperformed LSI, achieving a Coherence Score of 0.4163 compared to LSI's 0.3512, indicating that Latent Dirichlet Allocation (LDA) is more effective in identifying hidden topics within user reviews. Latent Dirichlet Allocation (LDA) is a superior method for topic modeling in IKD application reviews and can assist developers in understanding user needs and issues, thereby enhancing the application's service quality.
Co-Authors Adi Saputro, Johan Afnan Wijaya, Hafid Alfataah, Sevilla Andika Joni, Gusti Angga Reni Dwi Astuti Angga Reni Dwi Astuti Anggista Oktavia Praneswara Anggita, Sharazita Dyah Anggoro Saputro, Uyock Anna Baita Arif Rahmat Hidayatullah Arifiyanto Hadi Negoro Arifiyanto Hadinegoro, Arifiyanto Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Bagus Candrahutomo, Rio Baita, Anna Bayu Prayoga, Mahendra Bayu Wicaksono Dewi Setiyawati Dewi Setiyawati Dyah Anggita, Sharazita Eli Pujastuti, Eli Ema Utami Ermawan, Bagas Restya Fahlevie, Reychandra Tristan Faisal Salim, Muhammad Fauzan Baehaqi Ikhsan Habib Kusuma Inggar Adi Prasetyo Kamarudin Kamarudin Kusuma Wardana, Raka M Iqbal Novananda Sugiharto Marsel Pratama, Aldino Mas’ud Mahfudz Darmawan, Muhammad Nugroho, Bagas Julio NUR AINI Nur Aini Nurcahyo, Narwanto Oktafria, Fikri Pamungkas, Adji Surya Pramudya Hidayat, Muhammad Rifqi Rakarahayu Putri, Raniya Ramadhan Bima Saputra Restu Agung, Akmal Fauzan Rizal Gibran Aldrin Pratama Rizki Gunawan, Rizki Salamun Sukriandi Santoso, Riki Adi Subektiningsih Subektiningsih Sugiharto, M Iqbal Novananda Susanti, Rahmadhani Tofa Nurcholis, Muhammad Uray Nur Khadijah Uyock Anggoro Saputro Wahyu Hidayat Wardhana, Raditya Wulandari, Irma Rofni Yoga Pristyanto Zurni Laila