Framework for Monitoring the Spatiotemporal Distribution and Clustering of the Digital Society Index of Indonesia

I Gede Nyoman Mindra Jaya (), Said Mirza Pahlevi, Argasi Susenna, Lidya Agustina, Dita Kusumasari, Yan Andriariza Ambhita Sukma, Dewi Hernikawati, Anggi Afifah Rahmi, Anindya Apriliyanti Pravitasari and Farah Kristiani
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I Gede Nyoman Mindra Jaya: Department of Statistics, Universitas Padjadjaran, Sumedang 45363, Indonesia
Said Mirza Pahlevi: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Argasi Susenna: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Lidya Agustina: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Dita Kusumasari: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Yan Andriariza Ambhita Sukma: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Dewi Hernikawati: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Anggi Afifah Rahmi: Communication and Digital Human Resources Development Agency, Ministry of Communication and Digital, Jakarta 10110, Indonesia
Anindya Apriliyanti Pravitasari: Department of Statistics, Universitas Padjadjaran, Sumedang 45363, Indonesia
Farah Kristiani: Department of Mathematics, Parahyangan University, Kota Bandung 40141, Indonesia

Sustainability, 2024, vol. 16, issue 24, 1-23

Abstract: Digital disparities remain a significant challenge in Indonesia, particularly across its diverse regions, with uneven access to digital infrastructure, skills, and economic opportunities. This study aims to map these digital disparities at the district level, analyze the spatial distribution and clustering of digital transformation using the Digital Society Index of Indonesia (IMDI), and investigate the key drivers of digital inequality across four core pillars: Infrastructure and Ecosystem, Digital Skills, Empowerment, and Jobs. To measure the IMDI, primary data were collected from the industrial sector and the general population over three years (2022–2024), combined with secondary data on internet usage and service standards. A multistage random sampling approach ensured representativeness, considering demographic variations and industrial segments. The analysis employed spatiotemporal methods to capture temporal trends and spatial clustering. The results revealed a significant IMDI increase from 37.80 in 2022 to 43.18 in 2023, followed by stability at 43.34 in 2024. The hotspots of digital transformation remain concentrated on Java Island, while low spots persist in eastern Indonesia. This study provides critical insights into Indonesia’s digital readiness, identifying priority areas for targeted interventions to bridge the digital divide and foster equitable digital development.

Keywords: IMDI; Indonesia; infrastructure and ecosystem; literacy; empowerment; jobs; digital divide; digital skills (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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