Explainable Entropy-TOPSIS for Digital Infrastructure Prioritization Across Indonesian Island Groups

DOI: https://doi.org/10.33650/jeecom.v8i2.16803
Authors

(1) * Elta Sonalitha   (Universitas Merdeka Malang)  
        Indonesia
(2)  Bondhan Rio Prambanan   (Adisesha Palladium Interchange)  
        Indonesia
(3)  Rahman Arifuddin   ()  
        Indonesia
(4)  Fajar Maulid Zidane   (Electrical Engineering, Universitas Merdeka Malang, Malang, Indonesia)  
        Indonesia
(*) Corresponding Author

Abstract


Indonesia’s national internet penetration has continued to increase, reaching 80.66% in 2025, equivalent to 229,428,417 connected people from a total population of 284,438,900. However, this national achievement does not fully represent regional equality in digital infrastructure readiness. This study proposes an Explainable Entropy-TOPSIS framework to develop a Regional Digital Infrastructure Priority Index (RDIPI) across six Indonesian island groups using APJII 2025 indicators. The model transforms internet penetration, regional contribution, and ISP distribution into three priority-oriented criteria: access gap, ISP supply gap, and demand-supply shortage. The entropy weighting results show that demand-supply shortage is the dominant criterion with a weight of 0.8192, followed by ISP supply gap = 0.1292 and access gap = 0.0517. The TOPSIS results indicate that Sumatra has the highest infrastructure priority with an RDIPI score of 0.9840, followed by Maluku-Papua = 0.5226, Sulawesi = 0.3699, Kalimantan = 0.2422, Bali-Nusa Tenggara = 0.2013, and Java = 0.0000. These findings suggest that digital infrastructure priority should not be determined only by low penetration, but also by the imbalance between internet-user contribution and ISP representation. The proposed framework provides an explainable decision-support approach for APJII, ISPs, and policymakers in designing targeted broadband expansion and digital inclusion strategies.

Keywords

APJII; Digital infrastructure; Access gap; ISP supply gap; Demand-supply shortage



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