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All Journal TRANSIENT: Jurnal Ilmiah Teknik Elektro PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Teknik dan Ilmu Komputer JURNAL PENGABDIAN KEPADA MASYARAKAT SISFOTENIKA Bina Insani ICT Journal Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Pengabdian Pada Masyarakat Jurnal SOLMA Jurnal Ilmiah Matrik JMM (Jurnal Masyarakat Mandiri) CARADDE: Jurnal Pengabdian Kepada Masyarakat Voice Of Informatics Jurnal Serambi Engineering JAST : Jurnal Aplikasi Sains dan Teknologi JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal ICT : Information Communication & Technology Jurnal Mantik Aisyah Journal of Informatics and Electrical Engineering Jurnal Manajemen Informatika dan Sistem Informasi Abdi Dosen : Jurnal Pengabdian Pada Masyarakat TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Enrichment : Journal of Management Diseminasi : Jurnal Pengabdian kepada Masyarakat Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Infotech: Journal of Technology Information Jurnal Kajian Ilmiah JINAV: Journal of Information and Visualization Journal of Applied Data Sciences Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) Business Review and Case Studies Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Sains Teknologi dan Sistem Informasi Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Journal of Informatics and Communication Technology (JICT) Journal of Practical Computer Science (JPCS) Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Jurnal Buana Pengabdian INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Universal Raharja Community (URNITY Journal) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Sistem Informasi Journal of Informatics and Communication Technology (JICT)
Didik Setiyadi
Program Studi Informatika, Fakultas Teknologi Dan Desain, Universitas Indonesia Mandiri
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Journal : Journal of Applied Data Sciences

 1 
An Extensive Exploration into the Multifaceted Sentiments Expressed by Users of the myIM3 Mobile Application, Unveiling Complex Emotional Landscapes and Insights Hayadi, B Herawan; Henderi, Henderi; Budiarto, Mukti; Sofiana, Sofa; Padeli, Padeli; Setiyadi, Didik; Swastika, Rulin; Arifin, Rita Wahyu
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.187

Abstract

This study investigates user sentiment towards the myIM3 application, an application used for telecommunication service management in Indonesia. Using text analysis and machine learning methods, we analyzed user reviews to identify dominant sentiment patterns and evaluate different classification models. Word cloud analysis, sentiment distribution, and donut plots were utilized to gain deeper insights into user preferences and issues. Results indicate that the majority of user reviews are neutral (52.2%), with 37% positive reviews and 33.4% negative reviews. Users consistently pay attention to aspects such as internet connection (Neutral: 92%, Positive: 95%, Negative: 87%) and pricing (Neutral: 92%, Positive: 92%, Negative: 93%) in their reviews. Evaluation of classification models like Decision Tree Classifier, Support Vector Machine (SVM), and Random Forest shows that the SVM model performs the best with an accuracy of 93%, high precision (Negative: 93%, Neutral: 92%, Positive: 95%), recall (Negative: 93%, Neutral: 95%, Positive: 91%), and F1-score (Negative: 93%, Neutral: 94%, Positive: 93%). These findings can serve as a basis for service improvement and better product development in the future, while also affirming the capability of text analysis and machine learning techniques in providing valuable insights for telecommunication service providers.
Unsupervised Learning Methods for Topic Extraction and Modeling in Large-scale Text Corpora using LSA and LDA Henderi, Henderi; Hayadi, B Herawan; Sofiana, Sofa; Padeli, Padeli; Setiyadi, Didik
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.102

Abstract

This research compares unsupervised learning methods in topic extraction and modeling in large-scale text corpora. The methods used are Singular Value Decomposition (SVD) and Latent Dirichlet Allocation (LDA). SVD is used to extract important features through term-document matrix decomposition, while LDA identifies hidden topics based on the probability distribution of words. The research involves data collection, data exploratory analysis (EDA), topic extraction using SVD, data preprocessing, and topic extraction using LDA. The data used were large-scale text corpora. Data explorative analysis was conducted to understand the characteristics and structure of text corpora before topic extraction was performed. SVD and LDA were used to identify the main topics in the text corpora. The results showed that SVD and LDA were successful in topic extraction and modeling of large-scale text corpora. SVD reveals cohesive patterns and thematically related topics. LDA identifies hidden topics based on the probability distribution of words. These findings have important implications in text processing and analysis. The resulting topic representations can be used for information mining, document categorization, and more in-depth text analysis. The use of SVD and LDA in topic extraction and modeling of large-scale text corpora provides valuable insights in text analysis. However, this research has limitations. The success of the methods depends on the quality and representativeness of the text corpora. Topic interpretation still requires further understanding and analysis. Future research can develop methods and techniques to improve the accuracy and efficiency of topic extraction and text corpora modeling.
Co-Authors . Zulfan ., Jaenudin Abdul Holik Abdullah Arif Afrisal, Hadha Ahmad Ali Satia Ahmad Rafli Aldi Mulyana Ali Nurdin Andrian Saputra Ari Marta Tania Ari Nurul Alfian Arifin, Rita Wahyu Arviana Wulandari Atmojo, Wahyu Tisno Ayu Afidarisa Rahma Ayu Dian Kristanti Azhar Affandi B. Herawan Hayadi Bobby Reza Bobby Reza Bobby Reza Budiarto, Mukti Chusyairi, Ahmad Dahlia Widhyaestoeti Damar, Raden Ario Danu Wicaksono Darmanto, Tony Dodi Aprilianto Eka Prasetiyo, Fadilah Endang Retnoningsih Erdiwansyah Erdiwansyah Fata Nidaul Khasanah Fetty Ferawati Firhan Yudha Pratama Fithri Muliawati Fitria Rachmawati Genrawan Hoendarto Gusvita Gusvita Gusvita Gusvita Gusvita, Gusvita Hadirotussoliha Hadirotussoliha Hani Bastiawati Henderi Henderi . Herlawati Herlawati Hilmi Nur Husni Hisnil Fazri Hoga Saragih Hoga Saragih Hoga Saragih Hoga Saragih Ibrahim, Akip Maulana Imam Yunianto Indra Muis Intan Dwi Fatmaningtyas Ismail Marzuki Ismail Marzuki Isyana Rahayu, Isyana Iwan Setiawan Jadi Suriadi Jadi Suriadi, Jadi JAENUDIN JAENUDIN Jafar Shadiq JAMALUDIN Jejen Jaenudin Khoirunnisa, Mutia Kholiq Fajar, Abdul Kimseng, Ngov Kurnia, Dian Ade Kurniawan, Luluh Abdilah Leny Tritanto Ningrum Luluh Abdillah Kurniawan Manis, Siti Mariam Mardi Yudhi Putra Maya Lestari Moh. Sidik Priadana Muhamad Irvansyah Muhammad Atthalariq Muhammad Iqbal Awaluddin Munawir Munawir Mutoffar, Muhamad Malik Nada Aura Wansa Nadya Syafitri Novita Br Ginting Padeli Padeli Pangestu, Yoga Prasojo, Prasojo Pratiwi Setyarini Restu Amalia Novita Reza, Boby Rita Wahyuni Rita Wahyuni Arifin Rita Wahyuni Arifin Rita Wahyuni Arifin Rita Wahyuni Arifin Rita Wahyuni Arifin, Rita Wahyuni Rizal Nanda REYNALDI Rufman Iman Akbar E Rully Pramudita Rully Pramudita Rully Pramudita Rully Pramudita Saepudin Saepudin Saludin Saludin Muis Saludin Saludin Saludin Saludin Samhana Suryati Subari Samhana Suryati Subari Samin Sandradewi, Kumaratih Siti Aisah Sahlan Siti Nuraisah, Siti Slamet Raharjo Slamet Raharjo Sofiana, Sofa Solikin Solikin Solikin Solikin Solikin Sudarti . Sufian Sufian Sugiyatno Sugiyatno Supriyadi Supriyadi Susmanto Susmanto Swastika, Rulin Syahbaniar Rofiah Syukuryansyah, Ridho Tika Yuli Lestari Tony Darmanto Tony Sanjaya TRISNAWATI KUSUMAWARDHANI Umi Narimawati Untari, Dhian Tyas Uus Rusmawan Vendryo Adhitra Rahardjo Vuthy, Ith Wulandari, Arviana Yuggo Afrianto Zaenal Mutaqin, Muhammad Zaki, Adnan