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INDONESIA
JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA)
ISSN : 29622220     EISSN : 29622026     DOI : https://doi.org/10.58268/eb.v1i2.3
Core Subject : Economy,
Marketing Management, Human Resource Management Financial Management, Operation Management, Strategic Management, Supply Chain Management, Leadership, Quality And Innovation Management, Entrepreneurship, Hotel and Turism, Public Relations, Business Economic, E-Business, International Business, Taxation, Innovation & Competitiveness, Financial Accounting, Organizational Behaviour, Risk Management, Knowledge Management
Articles 72 Documents
TECHNOLOGY READINESS PROFILING OF SMES WITH K-MEANS CLUSTERING IN BANDUNG, INDONESIA : Technology Readiness Profiling of SMEs With K-Means Clustering in Bandung, Indonesia Lestari, Resanti; Lestari, Fitri; Saptiyanto, Nessa Deragia; daffansyah, Chasano
JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA) Vol 4 No 2 (2025): JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA)
Publisher : PUBLISHER ABISATYA DINAMIKA ISWARA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58268/eb.v4i2.221

Abstract

This study profiles and segments the Technology Readiness Level (TRL) of Micro, Small, and Medium Enterprises (SMEs) in Greater Bandung, Indonesia, using the Technology Readiness Index (TRI) framework. A quantitative, cross-sectional survey was conducted with 171 SME owners across Bandung City, Cimahi City, Bandung Regency, West Bandung Regency, and Sumedang Regency. The TRI framework comprises four dimensions: optimism, innovativeness, discomfort, and insecurity. Data analysis was carried out in two stages: descriptive statistics to examine the overall pattern of technology readiness, and K-Means clustering to identify distinct TRL profiles among SMEs. The K-Means analysis revealed three readiness clusters: High Readiness (34.5%), characterised by high optimism and innovativeness with extensive technology adoption; Moderate Readiness (41.5%), showing partial digital integration and moderate confidence; and Low Readiness (24.0%), dominated by high discomfort and insecurity. One-way ANOVA confirmed significant differences in TRL scores across clusters (p < 0.001). The findings indicate that SME readiness is heterogeneous even within a single metropolitan area, requiring differentiated policy approaches. High readiness SMEs may benefit from advanced digital ecosystem integration, moderate readiness firms need targeted capacity building, and low readiness firms require foundational digital literacy support. The use of K-Means profiling provides a practical and replicable approach for identifying readiness patterns in diverse contexts. This study contributes to the literature on digital adoption in developing economies and offers actionable insights for policymakers and industry stakeholders in designing targeted digitalisation programs. Keywords: Technology Readiness Level, Technology Readiness Index, SMEs, Entrepreneurship, K-Means Clustering, Bandung.
ANALISIS KESENJANGAN KOMPETENSI ANGKATAN KERJA MUDA KOTA CIMAHI TERHADAP KEBUTUHAN INDUSTRI 4.0 Framesthi, Dyah Bayu; Keizer, Hendriady de; Kesumah, Priatna; Subrayanti, Delia; Firmansyah, Yusar; Nafisah, Zira Durun; Rohaeni, Neng
JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA) Vol 4 No 2 (2025): JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA)
Publisher : PUBLISHER ABISATYA DINAMIKA ISWARA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58268/eb.v4i2.227

Abstract

The acceleration of technological transformation in the industry 4.0 era demands changes in the competency structure of the workforce, especially the younger generation, who are the backbone of regional productivity. Cimahi City, as a center for the manufacturing industry, modern services, and the creative economy, faces a serious challenge in the form of a mismatch between the skills possessed by the young workforce and the needs of digital-based industries. This study aims to analyze the level of competency gap in Cimahi City's young workforce, map industrial skills need in the context of automation and digitalization, and identify the factors causing this mismatch. The study used a Sequential Explanatory Mixed Methods design, starting with quantitative analysis through employment data, job readiness surveys, and industrial structure, then continued with qualitative in-depth analysis through in-depth interviews with industry players (IDUKA), vocational education institutions, and young job seekers. The results of the study indicate that competency gaps occur in two main categories: (1) hard skills including digital literacy, automatic machine operation, CAD/CAM capabilities, basic programming, and data literacy; and (2) soft skills such as communication, teamwork, problem-solving, and adaptability. The mismatch is exacerbated by an adaptive curriculum, minimal industrial internships, limited competency certification, and poor job market information. This study recommends strengthening the IDUKA link and match, reformulating the vocational curriculum based on industry needs, accelerating certification, and preparing the 2026–2030 Vocational Action Plan as strategies to increase the competitiveness of Cimahi City's youth.