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Clustering-Based Identification of Governance Risks in Campus Environments Sumiadji Sumiadji; Usman Nurhasan; Zainal Abdul Haris
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7205

Abstract

The growing implementation of governance models in higher education institutions has raised new challenges in accountability and performance. Although risk management and analysis in governance has received some attention in the literature, there is a lack of studies focusing on the use data-driven clustering algorithms. The current research focuses on the development and assessment of a web-based risk management information system that incorporates clustering principles to identify and map non-academic governance risks. The study followed the CRISP-DM framework and analyzed 678 risks from the Internal Audit Unit (SPI) of Politeknik Negeri Malang. The system employs K-Means clustering analysis to classify the risks into tiers based on performance indicators, budget, and risk severity. The system is equipped with data upload, preprocessing, logging, and cluster visualization modules. A comparative analysis of K-Means, DBSCAN, and Hierarchical Clustering showed that K-Means yields the best cluster quality with a Silhouette Score of 0.48, in comparison to DBSCAN (-0.705) and Hierarchical clustering (-0.395) . The developed system generated five distinct clusters corresponding to risks of varying settlement priority viz. very high, high, medium, low, and very low. The functional and usability assessments of the system confirmed that it provides automated and actionable insights on risks in a user-centric manner. The study has demonstrated the clustering of governance risks in higher education using K-Means is feasible. The incorporation of predictive analytics and real-time data would best support the research in active risk avoidance.
Pelatihan Kewirausahaan Hijau: Pembuatan Lilin Aromaterapi dari Minyak Jelantah bagi Murid Panti Asuhan Putri Aisyiyah Malang Adriana Sari, Padma; Sumiadji, Sumiadji; Fitriana, Annisa; Amalia, Riezky; Isrowiyah, Anna; Arisudhana, Aditya
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 11 No 1 (2026): April
Publisher : Politeknik Negeri Jember

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

Abstract

Used cooking oil is a household and culinary industry waste that has the potential to pollute the environment if not properly processed. The Aisyiyah Girls’ Orphanage in Malang, which operates a catering business, produces approximately 30 liters of used cooking oil per month. This community service activity aims to provide education on processing used cooking oil into marketable products in the form of aromatherapy candles, as well as to foster an entrepreneurial mindset among the orphanage children. The implementation methods include raising awareness about the dangers of used cooking oil and conducting hands-on training in making aromatherapy candles using additional materials such as paraffin, coloring agents, and essential oils. The results of the activity showed an increase in participants’ knowledge of waste management and their skills in producing aromatherapy candles. Participants also showed interest in continuing production independently. This program provides dual benefits in terms of waste reduction and economic empowerment.