Partnership 4.0: smallholder farmer partnership solutions.

The current pseudo-partnership pattern causes the farmers' income to be low from the results of their farming activities, so a partnership pattern is needed that is able to create a mutual partnership. The research which was conducted in Cikarawang Village, Bogor Regency, West Java Province - Indonesia aims; (1) recognize the existing condition of farmers and the use of agricultural land; (2) knowing the distribution of agricultural commodities; (3) identify existing partnership patterns; and (4) provide solutions for partnership patterns that benefit farmers. By using mixed-methods combined with the Drone Participatory Mapping (DPM) approach to produce Data Desa Presisi (DDP), this study succeeded in identifying three statuses of farmers, namely: cultivators, owners and cultivators of their own land, and owners who work on their own land at the same time working on other people's land, with an average access to land management of 3,437.32 m2. The small access of each farmer in land management is further exacerbated by the variety of agricultural commodities that are cultivated by farmers. There are at least 19 types of agricultural commodities that are cultivated, but do not meet the economic scale that is able to improve the welfare of farmers. This condition opens up opportunities for the partnership pattern between farmers and middlemen to continue to survive which is actually detrimental to farmers. Partnership 4.0 innovation is present to replace the old partnership pattern by focusing on the basis of technology and information that is fully accessible to farmers to jointly control agricultural activities (upstream-downstream). Partnership 4.0 places farmers and offtakers on an equal footing, so that smallholders can benefit and help achieve the welfare of smallholders.

Data Desa Presisi: A new method of rural data collection.

Pseudo-development in rural areas often occurs due to the lack of availability of accurate data, in addition to the closed space for citizen participation. Based on this condition, we identify and evaluate various methods of collecting rural data in Indonesia as the basis for formulating development policies and programs. From the results of the identification and evaluation, we conclude that a new method in rural data collection is needed, called Data Desa Presisi (DDP). DDP is a village data collection method that synthesizes a census, spatial and community participation approach. This method puts the unit of analysis of the family and the individual in the Neighborhood Association (Rukun Warga-RW) as the smallest regional unit in the rural area. The presence of DDP is expected to help villages to plan, implement, monitor, and evaluate village development based on accurate data.•We identified the village data collection methods used so far for planning and measuring village development.•DDP is used for precise planning, implementation, monitoring-evaluation, and measurement of village development.•This method can be used as basic village data because it is able to show development subjects with precision, namely: by name, by address and by coordinates.