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All Journal Syntax Jurnal Informatika JUITA : Jurnal Informatika Fountain of Informatics Journal Jurnal Nasional Komputasi dan Teknologi Informasi Infotekmesin Journal of Information Systems and Informatics JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Jurnal E-Komtek Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Jurnal Minfo Polgan (JMP) Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Jurnal Informatika: Jurnal Pengembangan IT Jurnal Informatika, Komputasi, Aplikasi & Bisnis (INFOKABIN)
Cahya Vikasari
Politeknik Negeri Cilacap
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation

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Journal : journal of embedded systems security and intelligent systems

 1 
Clustering Achievement Records and Socioeconomic Profiles of KIP Kuliah Recipients Riyadi Purwanto; Fajar Mahardika; Dwi Novia Prasetyanti; Cahya Vikasari
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 3 (2026): September 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i3.13311

Abstract

Purpose – This study aims to identify patterns in the achievement records and socioeconomic characteristics of KIP Kuliah recipients to support institutional monitoring, differentiated student development, and administrative data-quality evaluation. Design/methods/approach – A quantitative unsupervised learning approach was employed using two complementary analytical streams. Achievement records were processed using text preprocessing, Term Frequency–Inverse Document Frequency (TF-IDF), Truncated Singular Value Decomposition, and K-Means clustering, with cluster selection and stability assessment used to evaluate the resulting segmentation. Socioeconomic characteristics of verified recipients were analyzed using Density-Based Spatial Clustering of Applications with Noise (DBSCAN), supported by parameter-sensitivity and alternative-distance analyses. Findings – The achievement analysis revealed distinct segments reflecting district-level academic and sports achievements, general district-level championships, national-level and olympiad achievements, and diverse sports and non-academic accomplishments. However, the achievement segments showed limited separation and should therefore be interpreted as descriptive patterns rather than definitive natural groupings. Socioeconomic clustering revealed heterogeneous recipient profiles and a substantial group of observations that did not form dense patterns. Sensitivity analysis further demonstrated that apparent low-income clusters were primarily driven by incomplete administrative records rather than verified economic vulnerability. Research implications/limitations – The findings support descriptive monitoring, differentiated achievement development, and improved verification of administrative data. Individual-level integration was not possible because the achievement and socioeconomic datasets lacked a common identifier. Originality/value – This study demonstrates how complementary text and socioeconomic clustering can reveal both meaningful recipient patterns and critical data-quality limitations in scholarship monitoring.
Co-Authors Andesita Prihantara Annas Setiawan Prabowo Annisa Gatri Arsa Anggun Anggraeni Betti Widianingsih Dwi Novia Prasetyanti Fadhillah Hazrina Felista Argita Putri Mahardika, Fajar Muhammad Abdul Muin Murni Handayani Nur Muniroh Nur Wahyu Rahadi Nur Wahyu Rahadi Oto Prasadi Prih Diantono Abda'u Qonita Fildzah Rahmawan Bagus Trianto Randi Afif Riyadi Purwanto Riyadi Purwanto Rostika Listyaningrum Salsabila Mutiara Defa Soedihono Soedihono