Shallots are seasonal horticultural crops with high economic value. They are one of the horticultural commodities prioritized by the Director General of Horticulture and the Ministry of Agriculture in their development and handling. Therefore, it is necessary to predict the potential of shallot production in Indonesia so that the government has benchmarks and information in determining the right economic policy so that shallot production can continue to be increased or at least be unstable every year. In this study, the prediction algorithm used is the Resilient algorithm. The research data used are shallot production data obtained from the Indonesian Central Statistics Agency. This research will be analyzed using four network architecture models: 6-5-1, 6-10-1, 6-17-1 and 6-29-1. Based on the analysis of the four models used, the results show that the 6-17-1 model is the best because it has a lower Mean Square Error (MSE) value than the other three models, which is 0.0337792, and the accuracy level is quite good. Of 79% with an error rate of 0.04 used. This architectural model will be used to predict the potential for shallot production in Indonesia. Based on the overall prediction results from each province, the potential for Indonesian shallot production at the end of 2022 tends to decrease compared to 2021. The conclusion can be drawn that the application of the Resilient algorithm to the problem of red onion production data in Indonesia is quite good, but the accuracy is not too high, so a more profound study is needed

Integrated farming system is a system that emphasized linkages and synergism of farming units waste utilization. The objective of this study was to analyze  the economic farming activity of Rice Livestock Integrated Farming System (RLIFS) and non RLIFS farmers. The results showed the usage allocation of family and external labor to RLIFS farmers was relatively greater than non RLIFS farmers. The RLIFS farmers’ income of rice farming, other crops and non-agricultural was relatively larger than non RLIFS  farmers, while non RLIFS farmers had greater income from livestock (cow and non cow) business and farm labor. The production costs of rice farming and livestock business were still greater in RLIFS farmers although they used manure produced by their own and also provide straw of rice production as animal feed. This was due to several factors (1) The proportion of the cost of using manure was very small in the cost of rice farming if the use of manure only a supporting fertilizer and not the main fertilizer for plant. (2) Some farmers were still buying and using anorganic or chemical fertilizers because of their mindset who wanted fast and instantaneous ones. Some farmers also felt that manure contained less nutrients so they used it in small quantities. The household income total of RLIFS farmers was higher than non RLIFS farmers.

The development of Micro, Small, and Medium Enterprises (MSMEs) in Medan is still unstable. This condition is related to limited working capital, low-quality human resources in accessing information and managing capital, weaknesses in obtaining market opportunities and increasing market share, and limited product marketing. The latest innovations are needed to increase the MSMEs' competitiveness. This study aims to analyze the performance of MSMEs to increase competitiveness and determine the effect of innovation on MSMEs in Medan. The study included 20 business actors from Medan Johor, Medan Sunggal, Medan Denai, and Medan Marelan. This study uses a quantitative descriptive method with purposive sampling. The respondents were based on agribusiness in culinary and processed derivative products. Data were analyzed using a Likert scale and binary logistic regression. The results showed that business actors' performance by analyzing opportunities to increase competitiveness resulted in a very good category. The highest results were on certification indicator, while the lowest were on service indicator. Meanwhile, the factors influencing MSME innovation were level of education and information technology. The results recommend that government should train Medan City MSMEs in online sales applications to increase their market share. Furthermore, to support a more accessible certification and licensing process, BPOM should socialize more with business actors.