Article Per Year (5 Year)
p-Index From 2021 - 2026
2.554
P-Index
This Author published in this journals
All Journal Teknika Jurnal Pilar Nusa Mandiri The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Jurnal Sistem Komputer dan Informatika (JSON) Akrab Juara : Jurnal Ilmu-ilmu Sosial Journal of System and Computer Engineering Journal of Informatics Management and Information Technology Journal of Computing and Informatics Research Journal of Computer Science Contributions (Jucosco) Prawara Jurnal Pengabdian Masyarakat
Sandra Dewi Saraswati
Universitas Nusa Mandiri
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Medicine & Pharmacology Public Health Social Sciences

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
SENTIMENT ANALYSIS OF DIGITAL POPULATION IDENTITY (IKD) APPLICATION USING THE NAÏVE BAYES ALGORITHM Eka Putra Pratama; Ade Setiawan; Rifky Permana; Sandra Dewi Saraswati; Tri Hartati
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 11 No. 2 (2026): Mei
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze user sentiment towards the digital identity application launched by the government. The methodology employed involves collecting user reviews and comments from various social media platforms and the official application. The data is then analyzed using Natural Language Processing (NLP) techniques to identify and categorize sentiments as positive, negative, or neutral. The Naive Bayes method will be implemented using a dataset containing user reviews about a digital identity application. The analysis results indicate that the majority of user sentiments towards the application are positive, with many users appreciating the ease of access and features that simplify administrative processes. However, there are also a number of negative sentiments indicating technical issues and concerns regarding data privacy. Neutral sentiments generally relate to suggestions for improvements and enhancements to the application. The findings of this study are expected to provide constructive feedback for application developers to improve the quality and security of the digital identity application, as well as to enhance user satisfaction in the future. The study uses Google Colab, a cloud-based service provided by Google that allows users to write and execute Python code directly from the browser. The researcher used the scraping method to collect review data from IKD applications on the Play Store.
Co-Authors Ade Setiawan Ade Setiawan Ahmad Al Kaafi Alfian Andi Taufik Andrian Sah Anggiat, Yusuf Astrid Noviriandini Badaruddin, Muliati Eka Putra Pratama Endriana, E. Fina Hani Harafani, Hani Hermawan, Jehan Rizal Heti Heti Humaera B, Nurul Hylenarti Hertyana Indah Suryani Jehan Rizal Hermawan Jully Triansyah Jully Triansyah Kussetiawan, Hertanto Dwi Luthfi Indriyani Mabrur, Nur Shobi Maya Apriyanti Moh. Erkamim MULYADI Nofitri Heriyani Rifky Permana Riska Kurnia Septiani Rusma Insan Nurachim Sita Anggraeni Sita Anggraeni, Sita Susi Ermawati Tabina Fasya Benedicta Tonggiroh, Mursalim Tri Cahyo Widianto Tri Hartati Verra Sofica Vivi Maria Waeisul Bismi Widianto, Tri Cahyo Yamin Nur Yamin Yamin Nuryamin Yusuf Anggiat