Spatial-based smart community infrastructures model of smart economy sustainability in smart village environment

Tosida, Eneng Tita, . and Herdiyeni, Yeni, . and Marimin, . and Suprehatin, . and Harahap, Rina Muthia, . and Agustian, Sahid, . (2024) Spatial-based smart community infrastructures model of smart economy sustainability in smart village environment. Journal of Sustainability Science and Management (Malaysia), 19 (2). pp. 279-299. ISSN 2672-7226

Due to the disparity in resources between rural and urban areas of Indonesia, the rate of rural poverty has increased to 12.29% as of March 2022. One of the potential answers to the problem of widespread poverty in rural areas is the establishment of a “smart economy,” which would be underpinned by a robust “smart community”. The purpose of this research is to construct a spatial-based smart community infrastructure model through the application of a dynamic spatial analysis methodology. This model is intended to facilitate resource strengths mapping to establish smart villages. In the development process of this model, a Causal Loop Diagram approach is utilised, taking into account infrastructure, institutional, and policy variables. The kernel density clustering technique is combined with the classification of potential smart communities, resulting in three categories of potential smart communities: very potential, potential, potential, and fairly potential. The accuracy of the model is validated through an economic conditions assessment of the hamlet. This work presents a significant contribution linked to the possible smart community model that is connected with village infrastructure circumstances in the pursuit of developing a smart economy within a sustainable smart village.

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Abstract

Due to the disparity in resources between rural and urban areas of Indonesia, the rate of rural poverty has increased to 12.29% as of March 2022. One of the potential answers to the problem of widespread poverty in rural areas is the establishment of a “smart economy,” which would be underpinned by a robust “smart community”. The purpose of this research is to construct a spatial-based smart community infrastructure model through the application of a dynamic spatial analysis methodology. This model is intended to facilitate resource strengths mapping to establish smart villages. In the development process of this model, a Causal Loop Diagram approach is utilised, taking into account infrastructure, institutional, and policy variables. The kernel density clustering technique is combined with the classification of potential smart communities, resulting in three categories of potential smart communities: very potential, potential, potential, and fairly potential. The accuracy of the model is validated through an economic conditions assessment of the hamlet. This work presents a significant contribution linked to the possible smart community model that is connected with village infrastructure circumstances in the pursuit of developing a smart economy within a sustainable smart village.

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Item Type:	Article
AGROVOC Term:	villages
AGROVOC Term:	sustainability
AGROVOC Term:	community involvement
AGROVOC Term:	classification
AGROVOC Term:	spatial planning
AGROVOC Term:	quantitative analysis
AGROVOC Term:	qualitative analysis
AGROVOC Term:	dynamic models
AGROVOC Term:	frameworks
Uncontrolled Keywords:	dynamic spatial, smart village.
Depositing User:	Mr. Khoirul Asrimi Md Nor
Date Deposited:	01 Oct 2025 14:01
Last Modified:	01 Oct 2025 14:01
URI:	http://webagris.upm.edu.my/id/eprint/2328

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