SMART VILLAGE BASED ON AGRICULTURE BIG DATA ANALYTIC: REVIEW AND FUTURE RESEARCH AGENDA

Smart villages have become a concern for governments, private sectors and Non-Governmental Organizations (NGOs) in various countries as a solution in overcoming poverty. This research is focus on strengthening the Information and Communication Technology (ICT) level, especially the concept of agriculture big data analytic (ABDA)-based smart villages. Systematic Literature Review (SLR) of ABDA-based smart villages is carried out through descriptive analysis (single and cross attributes as well as a hierarchy of attributes and research domains) and cluster analysis (word frequency analysis) using NVivo 12 Plus software. SLR is not only carried out on smart village papers but including the cluster analysis integrated with documents related to citizen science. Most of the previous authors applied model or concept construction method, but there is lack of implementation and comprehensive analysis of the smart village system. The previous articles were dominated by automation and big data analytic (BDA) for Climate Smart Agriculture (CSA), but lack of application about ABDA postharvest activities. The contribution of this research showed the confirmation of the structure of the smart village success variables (technology, community, resources, and services/sustainability) and seven future research agendas of smart village based on ABDA. The seven smart village future research agendas are : Decision Support System-Geographic Information System (DSS-GIS) based smart governance; ABDA-based smart economy; BDA-based smart mobility; BDA-based smart environment; smart people based on non-formal e-learning education, simulation, Augmented Reality (AR), Virtual Reality (VR) and Mix Reality (MR); DSS-GIS-IoT based smart living and DSS-GIS-based smart tourism.