Article Per Year (5 Year)
p-Index From 2021 - 2026
1.789
P-Index
This Author published in this journals
All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Global JSAI (Journal Scientific and Applied Informatics) Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Generic Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat
Indah Permatasari
Universitas Indo Global Mandiri
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : jsai journal scientific and applied informatics

 1 
Prediksi Kepuasan Pelanggan pada Layanan E-government Menggunakan Algoritma Decision Tree Indah Permatasari; Dona Marcelina; Evi Purnamasari
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7718

Abstract

The Online Licensing Service Information System (SIPPERI) implemented by DPMPTSP Palembang City aims to enhance efficiency, transparency, and accountability in public services. However, several challenges were reported by users, including unintuitive navigation, slow system responses, and inaccurate information. These challenges impact the level of user satisfaction with the service. This study uses the decision tree algorithm to evaluate user satisfaction based on data obtained through questionnaires with a Likert scale assessment involving 100 respondents. The analysis process uses the Python programming language. The dimensions analyzed include Efficiency (E), Trust (T), Reliability (R), Service (CS), Usability (U), Information Availability (I), and Interaction (SI). The analysis results show that the decision tree algorithm achieves an accuracy rate of 95%. The highest-scoring dimensions were recorded in the indicators Download Speed of Forms (R1: 392) and Accuracy of Instructions (E4: 392). Conversely, the lowest-scoring dimensions were Intuitive Navigation (E1: 300) and Information Availability (I1: 314). This study provides strategic recommendations for DPMPTSP Palembang City to improve dimensions with low scores to enhance user experience and strengthen public trust in e-government services.
Co-Authors Dewi Sartika Dona Marcelina Evi Purnamasari Imelda Saluza, Imelda K. Ghazali K. Ghazali Lesi Hertati Muhammad Ikhwan Jambak Muhammad Irfan Mustafa Ramadhan Nuraini Nuraini Peny Meliaty Hutabarat Roswaty Roswaty Rudi Heriansyah Sartika, Dewi Sumi Amariena Hamim Tami Pames Riwansah Yulianti, Evi Yulius, Yosef