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All Journal JURNAL PENDIDIKAN TAMBUSAI Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Vokasional Teknik Elektronika (JVoTE) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Data Sciences Indonesia (DSI) Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital
Ari Apriyansa
Universitas Negeri Jakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences Other

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Journal : Innovative: Journal Of Social Science Research

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Pemanfaatan Big Data dan Teknik Data Scraping untuk Analisis Kepuasan Pengguna Aplikasi Tangerang Live Berdasarkan Ulasan Pengguna Anugrah, Lalu Reza; Pandega, Laksmana Rajwa; Haiqal, Rif’at Dwiki; Munawwar, Rais Fakhri; Fahlevvi, Mohammad Rezza; Apriyansa, Ari
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20289

Abstract

Digital transformation in government encourages the presence of public services based on digital applications to improve efficiency and accessibility of services. One of them is the Tangerang LIVE Application which is an integrated platform owned by the Tangerang City Government. This study aims to analyze user satisfaction with the application by utilizing Big Data and Data Scraping techniques. Data is taken automatically from user reviews on the Google Play Store and analyzed using the TextBlob-based sentiment analysis method. Based on the results of the analysis of 6,971 reviews, it is known that 91.2% of reviews are neutral, 8.0% are positive, and 0.8% are negative. These findings indicate that most users provide neutral input, questions, or reports, while the technical aspects of the application still need to be improved to maximize user satisfaction. This study provides a real contribution in showing the potential of Big Data as a tool for evaluating digital public services in real-time and massively.
Co-Authors Ade Setiawan, Farid Ahmad Ali Zanki Ahmad Fikri Rahman Aji Bayu Ramadhan Ali Akbar, Muh. Dylan Alifkah, Muhammad Haerul Alwan Syarofi Anugrah, Lalu Reza Apriansya, Ari Aprina Putri Sanda Arif Abdul Rahman Sakhi Arya Pangestu Bahar, Ana Aulia Basnella, Rindu Devid, Devid Diminaka Tebai Djatmiko, Wisnu Haiqal, Rif’at Dwiki Hardiansyah, Richo Hengki Andika Putra Joshua Faitri Ick Kodrat Alkauzar Alda Lalang Pratama Akhmad Putra Lubis, Ahmad Rifki M.Y Divan Wanimbo Madiya, Rehuelli Manik, Irvan Alvharel Ginting Miyosi Nur Fajri Mohammad Rezza Fahlevvi Muhammad Athaillah Akbar Iskandar Muhammad Husein Syuhada Muhammad Reza Pahlevi Muhammad Yusro Munawwar, Rais Fakhri Nurhikmah Dhita Sari Pandega, Laksmana Rajwa Parhusip, Reynaldo Joy Christian Pratiwi, Annisa Dhea Putrie Saridewi Raharjo Rahmat Darmawan Rahmat Darmawan, Rahmat Raifa, Faizaqila Ranang Zulfikram Rezkiadi, Faqih Septiya Rezza Fahlevi Roby Ibnu Syarifain Rompas, Veronica Rusmono - Safitri, Khairunnisa Dian Salsabillah, Wanda Thalia Sekira, Selvi Sinaga, Eimanisura Solihatin, Etin Theresia Farica De Ganza Thoriq Afif Titis Sari Putri Titis Sari Putri Ucu Cahyana Zahra Aqilah Dytihana Zikri Hadi Prawira