K-Means Segmentation for Differentiated MSME Digital Assistance Using DIGI-UMKM

Chandra Wisnu Nugroho (Institut Kesehatan dan Teknologi Graha Medika)
Husna Saleh (Institut Kesehatan dan Teknologi Graha Medika)
Leonard Maramis (Institut Kesehatan dan Teknologi Graha Medika)
Siti Nur Asia (Universitas Pejuang Republik Indonesia)
Suhenrik P (Universitas Pejuang Republik Indonesia)

Jurnal IPTEK Bagi Masyarakat
Vol 6 No 2 (2026)

Digital transformation among MSMEs requires differentiated assistance because digital use, literacy, barriers, service needs, and readiness vary across businesses. This applied quantitative study developed the DIGI-UMKM prototype and analysed 18 of 20 MSME records using a 74-item instrument across five dimensions. Mean scores were 2.76 for digital service use, 3.36 for digital literacy, 2.89 for digitalisation barriers, 4.13 for service needs, and 3.58 for transformation readiness. K-Means produced three operational groups: Basic Digital MSME (5.6%), Developing Digital MSME (72.2%), and Digital Transformation-Ready MSME (22.2%). The initial activity evaluation averaged 3.79/4. DIGI-UMKM therefore provides a decision-support mechanism for differentiated digital assistance, although the findings remain local empirical evidence because of the limited purposive sample.