The productivity of Arabica coffee in low-altitude areas in Aceh have been declined, caused by an increase in temperatures, and by pests and diseases attack. This study aims to develop adaptation strategies to climate change in Aceh trough understanding how coffee productivity correlates with the management practices across the altitude. To find out a correlation between farming practices variables and coffee productivity, Spearman's rank test was used. To assess whether farming practice explanatory variables affected by the altitudes, a non-parametric with the Kruskal-Wallis Test, with Tukey’s post-hoc test (P0.05) with Chi-square distance were used. The results showed that coffee productivity was positively and significantly correlated to pruning, weeding, application of fertilizer, and application of pest and disease control, but was not to coffee plant density, sustainability certification, land conservation, and age of the coffee plant. Adaptation strategies for farmers in higher altitudes are to maintain the coffee plant density as well as shade density at an optimum level, followed by increasing management practices such as pruning, weeding, application of fertilizer, and pest and diseases control; in lower altitudes, those are to increase shade density both with Leucaena and multipurpose plants such as avocado and citrus, as well as increasing management practices such as land conservation, pruning, weeding, application of fertilizer and pest and diseases control. In middle altitudes, those are to maintain and improve management practices applied

Agricultural Insurance as an embodiment of farmer protection and empowerment is carried out with The Rice Farming Business Insurance (AUTP) facility with an insurance premium scheme by the Government of 80% and 20% by farmers. This study aims to simulate the AUTP premium based on government's subsidy and farmers' self-subsistent premium. The simulation test used panel data estimates in Indonesia Province during 2016-2019. The AUTP premium simulation was identified through the Moderating Regression Analysis (MRA) approach, with the moderate variables being government subsidies and farmers' self-subsistent premium. The Government's premium subsidy policy became a pure moderator that significantly increased the AUTP land area by 0.057%. Meanwhile, the coefficient of the farmers' self-subsistent premium variable has a negative and significant effect on the realization of AUTP in Indonesia. The results of the policy simulation emphasize the importance of the government's role in encouraging the increase in the realization of AUTP through subsidizing premium assistance to farmers. The implication of this simulation of the MRA model is that the response and participation rate of the farmers' premium payments independently is not followed by an increase in the realization of AUTP in Indonesia. The policy implications in the simulation of the two equation models conclude the importance of managing subsidized farmer premium payments and self-subsistent schemes based on insured land and farmer insurance policy. Agricultural insurance policy needs to adopt risk management tools, diversify agricultural insurance programs, and calculate the willingness to pay agricultural insurance premiums appropriately.

This paper uses Soft Systems Methodology (SSM) to formulate strategies to prevent moral hazard acts in agricultural insurance in Indonesia. Agricultural insurance takes place, mainly, through Rice Crop Insurance and Cattle Insurance. Generally, the strategies that can be performed to minimize moral hazard practice in agricultural insurance programs are: developing the capacity of human resources, improving field communication, enforcing penalties, institutional strengthening, and adding new products through Islamic agricultural insurance. Specifically, this paper proposes that the prevention of moral hazard practices can be done by implementing Islamic agricultural insurance systems with the concept of risk-sharing instead of risk transfer.

Aceh Province contributed three percent of Indonesia's paddy production in 2019. This study aims to analyze the farmer's performance and the correlation between income and paddy farmer’s performance. The samples were selected using purposive sampling and data were analyzed using descriptive qualitative and Rank Spearman. The results show the average age of farmers is 46 years old, with 20 years experience in average, and the majority are high school graduates. Meanwhile, the average income of the farmers is IDR 15,464,017/ha, with and the average land managed of 0.7 hectares, the average production of 6.5 ton/ha, the average labor use of 32 days. The farmers use the following fertilizers: 125.74 - 216.85 kg/ha urea, 33.71 - 161.61 kg/ha SP-36, 5.62 - 41.99 kg/ha KCl, 19.43 - 70.72 kg/ha ZA, 20.22 - 222.96 kg / ha NPK, 13.69 kg/ha TSP, 7.30 kg/ha NPK Mutiara and 0.82 - 667.57 kg/ha organic fertilizer. In the Central region, female labors strongly dominate the planting, weeding, and harvesting activities. In the north and west region, women are actively planting and harvesting using conventional systems. The Spearman rank analysis shows that the correlations between income and production of 0.930, land tenure of 0.840, the cost of using fertilizer of 0.283, and the cost of using labor of 0.197.

Attention to the capacity of Rice Milling Companies is very important because this company is the main business actor that creates added value. However, there is currently no knowledge of the relationship between the capacity of rice millers and business performance Comprehensive information about the value chain also provides a direction for investment options/opportunities, where this can be found in high value added activities. This investment opportunity is apparently not being taken advantage of by business actors in the Province, the obstacles they face need to be investigated, whether it is related to financing or regulations that may not yet support the development of the business. Based on value chain analysis, it can be concluded that. Pidie regency is the area with the greatest added value and Aceh Utara Regency is the region with the smallest added value because more of its rice production is sold outside the Regency, considering that in this region the rice processing industry has not yet developed. Rice milling provides the greatest added value in the rice value chain