ASEAN Journal of Science and Engineering Education
type: channel
description: The ASEAN Journal of Science and Engineering Education (AJSEE) (ISSN: e. 2775-6815 p. 2775-6793) accreditated SINTA 4 by DGHE (Ministry of Research, Technology and Higher Education, Republic of Indonesia) no 79/E/KPT/2023 on 11/05/2023 is an open access and peer-reviewed journal, published by Universitas Pendidikan Indonesia, which is a dissemination medium for research result from scientists, engineers, and educators in many fields of education. AJSEE is a three times issued on March, September, and December. Each issue consists of 5-10 articles/reviews. The editors welcome submissions of papers describing recent theoretical and experimental research related to: (1) Theoretical articles; (2) Empirical studies; (3) Practice-oriented papers; (4) Case studies; (5) Review of papers, books, and resources. AJSEE is an open-access, peer-reviewed premier journal in its field, in which it has been engaged with universities and institutions in more than 20 countries across the world, including Indonesia, Malaysia, Philippines, Algeria, Thailand, Japan, Pakistan, Nigeria, India, Iraq, Sweden, United States, Uzbekistan, Germany, Australia, Zimbabwe, Qatar, Cambodia, Russia Federation, and Brunei Darussalam.
publisher: Universitas Pendidikan Indonesia (UPI)
language: en-US
publication name: ASEAN Journal of Science and Engineering Education
issn: 2775-6793
copyright: Authors who publish with this journal agree to the following terms: (1) Copyright of the published articles will be transferred to the journal as the publisher of the manuscripts. Therefore, the author confirms that the copyright has been managed by the publisher. (2) Publisher of AJSEE is Universitas Pendidikan Indonesia (UPI). (3) The copyright follows Creative Commons Attribution–ShareAlike License (CC BY SA): This license allows to Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material, for any purpose, even commercially.
items: Clustering-Based Analysis of Public Complaint Patterns for Strengthening Digital Literacy and Educational Public Service Governance

Clustering-Based Analysis of Public Complaint Patterns for Strengthening Digital Literacy and Educational Public Service Governance
type: item
description: This study aimed to analyze patterns of public complaints using a clustering approach to strengthen digital literacy and improve the governance of educational public services. The method applied was the K-Means algorithm implemented with data preprocessing, transformation, and evaluation of optimal clusters using the elbow technique. The results revealed three meaningful clusters of complaints characterized by category, region, and reporting period. These findings are important because they show differences in dominant patterns of complaints, which highlight variations in participation and responsiveness. The outcomes imply that policy adjustments should focus on improving response quality in highly active areas and expanding awareness and literacy efforts in low-participation regions. This study contributes to educational contexts by demonstrating how clustering can be used to analyze feedback for better service delivery, thereby enhancing inclusivity, transparency, and trust in digital governance.
creator: Ifani Hariyanti
creator: Tiara Anisa
rights: Copyright (c) 2025 Universitas Pendidikan Indonesia https://creativecommons.org/licenses/by-sa/4.0
license: https://creativecommons.org/licenses/by-sa/4.0
date: 2025-08-19
publication date: 2025-08-19
volume: 5
number: 3
starting page: 151
ending page: 166
doi: 10.17509/ajsee.v5i3.89295