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Bagas Diropati
Telkom University, Indonesia

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Mapping the Performance of Knowledge Management in Crafts SMEs Using Clustering Bagas Diropati; Cindy Joselyn Lim; Marsha Livia
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/jetsi.v1i1.3

Abstract

Knowledge management (KM) is widely recognized as a strategic resource for Small and Medium Enterprises (SMEs), yet its implementation in craft SMEs is often heterogeneous and fragmented. Most existing studies measure the average effect of KM on firm outcomes, which may obscure differences in KM maturity among individual SMEs and limit the design of differentiated interventions. This study aims to map craft SMEs based on their KM performance using an unsupervised learning approach. Primary data were collected from 70 bag and luggage craft SMEs in Sidoarjo Regency, East Java, through structured questionnaires using a six-point Likert scale. The study employed purposive sampling, with respondents selected based on specific criteria: the SMEs had to operate in the bag and luggage craft sector, be active during the data collection period, meet SME characteristics, and be represented by owners, managers, or SME leaders directly involved in daily business activities and decision-making. Therefore, the sample provides an analytical representation of active bag and luggage craft SMEs in the observed context, although it is not intended for statistical generalization to all craft SMEs in Sidoarjo. The questionnaire measured four KM dimensions: knowledge creation, knowledge acquisition, knowledge sharing, and knowledge application. The K-Means clustering algorithm was applied with z-score normalization, while the optimal number of clusters was determined using the Elbow Method and validated through the Silhouette Coefficient. The analysis identified two optimal clusters (k = 2) with a silhouette score of 0.441. Cluster 1 represents SMEs with consistently strong KM performance, while Cluster 0 represents SMEs with relatively weak KM performance. Knowledge acquisition and knowledge sharing emerged as the most differentiating dimensions. The novelty of this study lies in providing an empirical, data-driven map of KM maturity among craft SMEs as a basis for targeted KM development programs.
The Design of a Web-Based 360° Assessment Information System for AKHLAK Core Values at PT XYZ Thifal Adelia Ghifara; Bagas Diropati; Aghni Ridfalah
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/jetsi.v1i1.5

Abstract

The rapid advancement of digital technology has increasingly compelled organizations to transform human resource management practices through the adoption of integrated Human Resource Information Systems (HRIS). Among the critical dimensions of HR management, employee behavioral assessment occupies a pivotal role in fostering competency development and sustaining organizational effectiveness. However, PT XYZ currently administers its 360° Core Values AKHLAK assessments through semi-manual processes relying on Google Forms and spreadsheet files, resulting in operational inefficiencies, fragmented data management, constrained monitoring capabilities, and elevated risks of administrative error. This study aims to design a web-based 360° Core Values AKHLAK assessment information system integrated with the company's existing HRIS infrastructure, with the objective of enhancing assessment process efficiency and strengthening organizational monitoring capabilities. The research employs the Prototype Model within the System Development Life Cycle (SDLC) framework, supported by observational data collection, stakeholder interviews, systematic literature review, and UML-based system modeling. The proposed system encompasses automated evaluator assignment, weighted score computation, real-time monitoring dashboards, centralized data management, automated notification mechanisms, and analytical visualization features. Evaluation findings indicate that the proposed system design is capable of substantially reducing manual administrative workload, improving assessment monitoring effectiveness, mitigating data inconsistency risks, and supporting data-driven decision-making in the domain of employee behavioral evaluation. The primary contribution and novelty of this study reside in the comprehensive integration of 360° feedback mechanisms, Core Values AKHLAK evaluation, and dashboard-based analytical visualization within a unified centralized platform
Co-Authors Aghni Ridfalah Cindy Joselyn Lim Marsha Livia Thifal Adelia Ghifara