The purpose of rice breeding is to create varieties that are well adapted, highly productive, and acceptable to farmers. However, rice productivity is limited as a result of combined biotic stresses (pests/diseases). This study combines assessment by farmers with the evaluation by breeders with respect to promising rice lines within a range of environments. The aim is to investigate farmers’ preferences and to characterize the yield of promising rice lines, as well as their resistance to pests/diseases by consulting 120 farmers and breeders. This study used an oversite design replicated three times with thirteen promising lines and two varieties, which were all evaluated at farmers’ fields between December 2019 and May 2020. The Importance Performance Analysis was used to compare line performance and farmers’ expectations. Lines Gamapadi-2 and Gamapadi-4 had the highest acceptability scores based on the farmers’ preferences. The yield performances were evaluated using the Finlay–Wilkinson test and the genotypes were evaluated using environmental models (GGE biplot) to determine the most stable lines to be recommended for large-scale planting. The Finlay–Wilkinson and GGE biplot conclusion analyses also showed that the Gamapadi-2 and Gamapadi-4 lines exhibited high potential yield and stability, as well as indications of specific advantages. The results for both lines in all locations indicated no symptoms of brown planthoppers or bacterial leaf blight due to its absence during the field research. These lines in all age ranges at two sites showed no symptoms of leaf blast.

Purpose: The agricultural sector has an essential role in developing the economy of Indonesia (food, feed, raw materials for industry, contributor to gross domestic product, and labor absorption). For decades, this business field has survived (positive economic growth, while most of the business field faces contraction) during the country’s economic shock (financial crisis, economic setback, and pandemic situation). Thus, this study aims to measure Indonesia’s agricultural sector’s resilience and trends.Research Method: Secondary data have been collected from various sources: The UN Comtrade, World Bank, Central Bureau of Statistics, Ministry of Agriculture, Bank Indonesia, and Investing Coordinating Board of Indonesia. Moreover, principal component analysis is used to determine the index of agricultural sector resilience in Indonesia, while trend analysis is employed to investigate the development of the resilience index from time to time.Findings: The resilience of the agricultural sector varies from time to time. However, it is statistically proven (a = 1%) that resilience tends to increase over the last twelve years.Research Limitations: The variables to determine the agricultural sector resilience in Indonesia consist of trade balance, agricultural terms of trade, total investment, government spending in the agricultural sector, total credit, agricultural workers’ income, and percentage of agricultural workers to total workers. It is suggested that the future study, employed non-agricultural parameters such as environmental conditions and research and development budget to capture a more comprehensive situation on agricultural sector resilience.Originality/ Value: This study contributes to the renewal of the literature on the resilience of the agricultural sector. Moreover, the variables used to represent the parameters of agricultural development in Indonesia may be applied in other countries.

The increasing growth of the coffee shop business with a fast and attractive expansion as a food & beverage industry in urban areas of Indonesia, especially Special Region of Yogyakarta has led to business competition between micro, small, and medium enterprises (MSMEs) which are required to use their ability to adapt, be competitive and improve business performance. The entrepreneurial orientation is claimed to important contributions to business success. This study aims to analyze the effect of entrepreneurial orientation on business performance. Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis method is used to examine the effect of five dimensions of entrepreneurial orientation (innovative, proactive, risk-taking, autonomy, and competitive aggressiveness) on business performance. This research was conducted at 80 coffee shop MSMEs with the sampling technique using convenience sampling. The results showed that the dimensions of proactive, autonomy, and competitive aggressiveness were found to have a positive and significant effect on business performance, while the innovative and risk-taking dimensions did not affect significantly on business performance.

Indonesian rubber farming has the largest area in the world, but its implementation faces various risks that decrease productivity and farm income. This study is designed to specify the risk perception, risk attitude and determinant factors for smallholder rubber farmers. The research location was in four subdistricts in West Kalimantan Province, with a sample size of 200 farmers. Data collection was carried out by interview using a structured questionnaire. The risk matrix, Holt and Laury's method and the logit model were used to identify risk perception, risk attitude and determinant factors. The study results showed that most rubber farmers were risk-averse and perceived climate change, plant diseases and price change as high risks. The logit model found that farmers' age, education, rubber plantation size, rubber age, distance and use of rubber clones had a positive and significant effect on farmers' risk perception, while the family size and farming experience had a negative effect. Regarding risk attitude, the logit model found that rubber age, distance and risk perception of price change had a positive and significant effect on farmers' risk aversion, while farmers' age and use of rubber clones had a negative effect. This study recommends providing informal education to the farmers through training and counseling, encouraging the farmers to replant old or damaged rubber trees and adopt rubber clones. Furthermore, it is also necessary to improve road facilities and infrastructure, communication and transportation access to facilitate farming activities.

Improving food crop production is critical for achieving food security. The Food Estate (FE) program initiated by the government seeks to accomplish this through extensive and intensive farming practices while taking sustainability into consideration. In this paper, a multidimensional scaling (MDS) approach to determine the status and model of agricultural sustainability of the FE program was adopted. Three scenarios were developed to improve the sustainability status based on primary data from interviews with 50 farmers in Ria-Ria Village, Pollung District, North Sumatra. The findings indicate that the farming status is at a moderate sustainability, and improving all aspects can significantly increase the sustainability value. The study suggests that the government should prioritize the improvement of all aspects to raise the sustainability status of FE farming in order to achieve food security.