作者: Yeni Herdiyeni , Marimin , Suprehatin Suprehatin , Eneng Tita Tosida , Indra Permana Solihin
DOI: 10.1109/ICIMCIS51567.2020.9354323
关键词:
摘要: The development of citizen science as the foundation a smart village is one solutions to reduce poverty in rural areas. main objective this research map prospect cluster construct big data-based villages Indonesia. This was conducted through analysis 2018 potential data Indonesia, using combination k-means, expected maximum and density-based algorithms. contribution resulted clusters for 33 provinces used limited administrative areas, so DKI Jakarta not included study. factors that attribute are ICT infrastructure, management villagers' participation activities, renewable energy, transportation, agricultural business activities nonagricultural small medium enterprises. results show there 3 develop Indonesian villages, namely very (11%), (60%) quite (29%) clusters. prospects visualized on spatial based Province Bangka Belitung Island, West Java, Central East Yogyakarta, Banten Bali developing order villages. were validated with dendogram structure systematic literature review (SLR). shows keywords correspond attributes clustering process. validation process an innovative finding ecosystem.