Agriculture products need market value increases trough the development of rural agribusiness. The success of the program needs to be supported by the community to create the expansion of marketing access, the sustainability of the agribusiness and strengthening of capital so as to create savings. Community as a regional unit (natural and social), where its members (farmers and non farmers) carry out various daily activities, which are social capital to play an important role in a development process. This research had the following objectivies: a) determining the synergy of participation of each element (farmer and non farmer) in the development of rural agribusiness, b) finding solutions to the participation constraints of each agribusiness chain, and c) finding sub models of community facilities. The research was conducted in Central Java Province as a cassava-producing region and tapioca center, namely in the districts of Pati and. Meanwhile, the objects of the research included : facilitation actions for community empowerment on the job training, agriculture product processing and independent of the rural agribusiness development, community potential, and the establishment of agrbusiness microfinance institutions. There were two populations of this study, they were: area of cassava land and center of agribusiness, and community members consisting of farmers element (cassava farmers), non farmer (owner of agribusiness and workfoces of agribusiness), and off farmers (owner of transport, transport drivers). Sampling technique used in this study was cluster sampling technique to find out agribusiness data and accuracy test of the accuracy of image interpretation in determining the number of samples using the guidelines of BIG (Geographyc Information Institution in Indonesia), as well as simple random sampling technique for agribusiness center. Data analysis technique used was multiple linear regression for participatory synergistic analysis and synthesizing information to be used in formulating alternatives and policy preferenees are expressed comparatively, predicted in quantitative and qualitative languages as the basis for decision making for proverty reduction analysis. Based on the research data, the results of simple linear regression analysis result in a regression equation Y = 5.26 + 18.26X, this shows a positive influence of each variable where X represents the amount of daily cassava production and Y variable represents the number daily income, meaning that there will be an increase in participation synergy if each of these variables is increased in quantity or quantity. Meanwhile, in testing hypotheses between the two variables produces t count of 0.871, where the t table is 0.374 which means t count t table so that the conclusions obtained are the influence between variables on the magnitude of the synergy of participation from PUAP. According to the calculation of correlation analysis, the results of the calculation of simple linear regression analysis produce a correlation coefficient of 0.801 and a determination coefficient of 0.642, which means that when linked to the interpretation table the correlation coefficient for correlation between variables is in the "very strong" interval level classification (0 , 80 - 1.00). The results of the study were to increase the synergy of the participation of members of rural communities, accelerate networking between citizens or communities through social planned change known as social engineering and labor intensive agricultural processing.

The food crop agricultural sector in Pati Regency in 2019 succeeded in producing more than 592 thousand tons of rice with a harvest area of 99,453 hectares (BPS, 2021). This achievement must be increased without overexploiting the land. Field data for 2020 shows a population of 1,324,188 people, a population growth rate of 0.58%. Farmers apply a sustainable agricultural system. These findings were analyzed using the calculation of the carrying capacity of agricultural land developed from population pressure (Soemarwoto, 1985). Furthermore, it is described as an explanation of the calculation results. The results showed that the carrying capacity of agricultural land in 2020 is worth 1.35, meaning that it can provide rice for its residents, even a surplus. Indicates high land productivity. Meanwhile, the prediction of the carrying capacity of agricultural land in 2030 will be 1.28 which indicates a decrease in value of 0.07 but it is still able to meet the food needs of the population. The application of the concept of sustainable agriculture by farmers needs to be carried out and supported by various policies from the local government so that the sustainability of agricultural conditions in Pati Regency is maintained.