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All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Journal of Engineering Technology and Science Integration (JETSI)
Reza Aditya
Universitas Terbuka, Indonesia
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering

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Organizational Performance-Based Segmentation of Batik SMEs Using K-Means Clustering Reza Aditya; Bernieka Desyaranti; Fandi Achmad
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem dan Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.10597

Abstract

Batik Small and Medium Enterprises (SMEs) play a strategic role in the economy and cultural preservation in Indonesia, yet exhibit varying levels of organizational performance. This heterogeneity demands a more objective and data-driven segmentation approach so that development strategies and policies can be implemented effectively. This study aims to segment Batik SMEs based on organizational performance using the K-Means clustering method. Primary data were obtained through a structured questionnaire survey of 56 Batik SMEs, with organizational performance indicators covering operational and financial performance. All data were normalized using StandardScaler to ensure scale equality between variables. The optimal number of clusters was determined using the Elbow method and the silhouette coefficient. The analysis results showed that a two-cluster configuration was the optimal solution with the highest silhouette coefficient value. The K-Means model resulted in two segments of Batik SMEs with significantly different organizational performance characteristics: SMEs with low organizational performance and SMEs with high organizational performance. Centroid value analysis and cluster visualization confirmed clear cluster separation and a good level of internal homogeneity. These findings indicate that segmenting Batik SMEs based on organizational performance using an unsupervised learning approach is effective in uncovering the structure of performance heterogeneity. This research contributes to providing a data-driven segmentation framework that can be utilized as a tool to support managerial decision-making and policy formulation to sustainably improve the performance and competitiveness of Batik SMEs.
Multidimensional Factors Affecting Senior High School Graduation Rates in Indonesia Reza Aditya; Christ Williams Billy; Nazwah Santi Fauziyah; Thesi Martin; Inky Pramudia Ramdhani
Journal of Engineering Technology and Science Integration (JETSI) Vol. 1 No. 1 (2026): Journal of Engineering Technology and Science Integration
Publisher : PT. Nordeo Scholar Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68627/742566

Abstract

This study aims to analyze the influence of the number of high school teachers, the student-teacher ratio, regional education expenditure, the Human Development Index (HDI), and school infrastructure on high school student graduation rates in Indonesia. The study used a quantitative approach with a descriptive-inferential design based on secondary data from the Indonesian Central Statistics Agency (BPS) in 2023 for 34 provinces with complete data. The analysis was conducted using multiple linear regression to examine the multidimensional relationships between variables. The results show that the number of high school teachers, regional education expenditure, the HDI, and school infrastructure have a significant positive effect on student graduation rates, while the student-teacher ratio has a significant negative effect. Among all variables, the HDI has the strongest contribution to secondary education attainment. The regression model has a fairly strong explanatory power with an R² value of 0.50. These findings indicate that improving the quality of secondary education depends not only on the number of educators but also requires support from socio-economic development, educational investment, proportional teacher distribution, and strengthening of school infrastructure. Academically, this study strengthens the development of quantitative studies of education through a more comprehensive multivariate approach. Practically, the research results can serve as an empirical basis for the government in formulating national education equality policies that are more effective, equitable, and data-based.
Co-Authors Bernieka Desyaranti Christ Williams Billy Fandi Achmad Inky Pramudia Ramdhani Nazwah Santi Fauziyah Thesi Martin