Foot and Mouth Disease (FMD) outbreak in 2022 reportedly led to a significant decrease in cow milk production, resulting in major changes to supply chain. Therefore, this study aims to determine the current supply chain performance of dairy milk at Bogor Dairy Farm Cooperative (BDFC) using Supply Chain Operation Reference (SCOR) metric. A quantitative descriptive method was used, and data were collected through field observation, interviews, and Focus Group Discussions (FGDs). Furthermore, the data were analyzed using SCOR metric. The results showed that the currentsupply chain performance comprised several entities, including cow milk suppliers (152 dairy farmers),cooperative, 3 manufacturers (milk processing industries), and end consumers. The time required by BDFC to distribute cow milk to processing industries was relatively fast (around 2 hours) due to the perishable nature. The calculation of supply chain performance yielded positive results, with SCOR metric achieving perfect order-fulfillment (POF) value of 86.9% andorder fulfillment cycle time (OFCT) of 2 days.Meanwhile, the cost of goods sold (COGS) value was 42.3%, with cash-to-cash cycle time (CTCCT) of 2 days.

Sugarcane plays a crucial role in sugar production, but its supply has declined due to land conversion and inefficient systems, which has led to reduced sugar output. Partnerships between farmers and sugar factories are a strategic alternative to increase productivity. This study aims to evaluate sugar factories’ performance, sugarcane waste management, the partnership system with farmers, and farmers' perceptions of the impact of partnerships on the production system and the socioeconomics impact on the community. This research was conducted at three sugar factories in Indonesia (Madukismo, Trangkil, and Mojo Sugar Factories) from March to September 2024. The methods used in this study include in-depth interviews, observations, and surveys. The data were analyzed using descriptive and scoring methods. The results showed that sugar factories produce white crystal sugar, distribute it to retail stores, and sell it to wholesalers through an open auction system. Some sugarcane waste is utilized as fuel for factories and processed into alcohol. The partnership between sugarcane farmers and sugar factories provides mutual benefits in which farmers receive guidance in the production process and access to business capital banking. In contrast, sugar factories receive adequate sugarcane supplies in quantity and quality. Farmers positively perceive the sugarcane production system and its socio-economic impact on the community through this partnership. Farmers' perceptions are a supporting factor for the sustainability of partnerships between sugarcane farmers and sugar factories. Policy implications emphasize the importance of factory management in building sustainable partnerships through fair contracts, technical support, access to capital, and environmentally friendly waste management innovations.

The purpose of this study is to measure and analyze the competitiveness of Indonesian candlenut oil exports in three major market countries (the United States, Singapore, and India) using a quantitative and comparative approach. The data used in this study are from 2016 to 2023. The time series data analysis methods used are Revealed Comparative Advantage (RCA), Revealed Symmetric Comparative Advantage (RSCA), and Trade Balance Index (TBI). Based on the RCA index calculation, the average RCA value of Indonesian candlenut oil is above 1. This means that Indonesian candlenut oil has a comparative advantage in the United States, Singapore, and India markets. The average RSCA index calculation shows that Indonesian candlenut oil has optimal competitiveness in the Singapore and India markets. Meanwhile, in the United States market, Indonesian candlenut oil does not have a comparative advantage. The average TBI calculation indicates that Indonesian candlenut oil is a high export commodity in the United States and Singapore markets, while in the Indian market, Indonesian candlenut oil has an export specialization but is still in the growth stage. Potential markets such as India, Singapore, and the United States deserve further development to optimize export profits. Dissemination of technology to improve the quality of candlenut oil to higher grades is also necessary to compete with competing countries, thereby increasing candlenut oil exports.

Ghana prioritizes the production of raw cocoa beans while engaging in trade for other commodities. Although cocoa holds significant economic importance for Ghana, there is a notable gap in research regarding the economic factors influencing cocoa exports, especially between European and Asian markets. The effects of Gross Domestic Product (GDP), trade taxes, and economic distance on trade flows, market accessibility, and sustainability in these regions remain ambiguous. This study utilized panel data from 2001 to 2023, employing the gravity model through Panel Ordinary Least Squares (POLS), Generalized Least Squares (GLS), and Poisson Pseudo-Maximization Likelihood (PPML) estimation methods. The findings indicate that Ghana's bilateral cocoa trade with European and Asian markets is significantly influenced by Ghana's GDP, the economies of its trading partners, international trade taxes, and economic distance. To enhance Ghana's bilateral cocoa trade, forming trade agreements with emerging Asian economies could reduce barriers and improve market access. Ghana should consider revising cocoa export duties to increase competitiveness and negotiate with trade partners to lower import tariffs on its cocoa products in Asian markets.

The increasing scarcity of agricultural land in Condongcatur Village necessitates the sustained fulfillment of food demands. In this context, Seribu Galon program was initiated for Women Farmers Group (WFG) to realize household food security. Sustainability is crucial for guaranteeing the effectiveness of the program and the positive contribution to food security. Therefore, this research aims to assess the sustainability of Seribu Galon program, identify the influencing factors, and the impact on household food security among WFG. Data collection was carried out by interview and observation on 60 members with 12 people drawn from each WFG Teratai Mekar, Lestari, Arum Melati, Dewi Sri and Ijoro by simple random sampling. The data analysis uses the proportion test, multiple linear regression test, and Simple linear regression test. The results showed that most of the sustainability level of the members was high. The average level of sustainability of Seribu Galon Program is 78,72%. Moreover, Seribu Galon program was influenced by age, motivation, as well as role of group and extension workers. And the sustainability of Seribu Galon Program has significant impact on the household food security of women farmers in Condongcatur Village. The research recommends that production and marketing strengthening should be more prioritized to enhance sustainability program, supported by the role of extension workers in monitoring and providing training support.

Rice is a strategic food commodity for Indonesia. Most Indonesians, 95 percent consume rice as their staple food. However, Indonesia still imports rice to fulfil its domestic rice needs. Dependence on imports is neither good for the short term nor the long term. The purpose of this study is to see the relationship of rice price, rice production, exchange rate to Indonesia's rice import. The data used is time series data with monthly frequency from January 2019 to December 2023 taken from ITC Trade Map, Central Statistic Agency, and Bank Indonesia. The analysis method uses a Vector Error Correction Model (VECM) approach that can provide short-term and long-term information through several tests. The results showed that in the long run the exchange rate and rice production have a negative influence on rice imports. While in the short term, the variables that affect rice imports are the import variable itself and the price of rice in the previous 2 periods, as well as rice production in 1 previous period. The significant influence of rice production requires the government to pay attention to the stock and the amount of imports in balance. Exchange rate, rice price, and rice production variables respond relatively quickly to rice imports. The rice import variable has a large enough proportion in influencing itself followed by the exchange rate, and rice production which has a greater influence each period.

Cocoa is a prominent global export with strong competitiveness in the international market. During the 2019-2022 period, there was positive growth in cocoa exports while domestic cocoa production declined. The variability of cocoa production across provinces is due to the different levels of cocoa development in each region. This study aims to map cocoa base and non base regions in Indonesia and examine the characteristics of cocoa distribution across the provinces of Indonesia. This study is important because there have been limited studies about regional mapping of cocoa at the national level. It is also important to know the condition of regional mapping in the future. The regions observed in this study include 33 provinces in Indonesia that produce cocoa. The study uses secondary data which includes variables related to cocoa production and production of superior plantation commodities for seven years (2017-2023). The analysis used to answer the primary objective is Location Quotient (LQ) and Dynamic Location Quotient (DLQ) analysis, while the secondary objective uses Localisation and Specialisation analysis. The findings reveal 10 provinces as cocoa base regions, with Southeast Sulawesi exhibiting the highest LQ. North Sulawesi province has been identified as potential areas for future development. While 18 provinces have shifted from base regions to non base regions or are not prospective in the future. Localisation and Specialisation indices below 1 indicate that cocoa cultivation is geographically dispersed, with no single region dominating production.

This study is intended to evaluate the utilization of official statistics for academic research as well as for policymaking in agriculture sector in Indonesia. To achieve the goal a conceptual framework of the relationship among official statistics, academic research, and policymaking was constructed. The intensity of official statistics use for academic research was examined by analyzing the content of 7814 articles published in all 47 scientific journals officially affiliated with the Indonesian Society of Agricultural Economics (PERHEPI), 1978-2023. It is found that the majority of the articles (62.6%) did not use BPS data. Furthermore, in the last two decades the utilization of secondary data for academic research papers tends to decrease, from 55.7% of the total articles published in 2004-2013 to 42.4% in 2014-2023. These results of calculation and other quantitative analyses were shown to 80 prominent resource persons for evaluation. The majority of the respondents assessed that the level of utilization of BPS data was low or very low. The factors that determine the level of utilization are relevance, accessibility, preference, and quality of the data. The respondents also identified the needs to solve the problems of communication, collaboration, and coordination among the stakeholders of the ecosystem (official statistics agency, academia, and policymakers) to improve the functioning of the ecosystem of data utilization. These findings are potentially beneficial for providing points of consideration in public discourses including those for revising the statistics law (UU Statistik) that has been undertaken by lawmakers in the Indonesian parliament (DPR) since 2023.

The auction market system in Kulonprogo Regency serves as a pivotal platform for the trade of farmers' chili, handling significant volumes of produce daily. However, the management of these markets remains largely conventional or semi-digital, potentially resulting in operational inefficiencies and inaccuracies. This study investigates the process of transitioning auction market management from conventional to digital approaches. Employing a descriptive qualitative methodology, insights were gathered from auction market managers representing five distinct groups in Kulonprogo Regency. Data collection methods included focus group discussions (FGDs), observation, and in-depth interviews. Findings indicate varying levels of readiness among auction markets for digital adoption, with the Tani Rejo Auction Market leading in digital technology utilization. Factors such as institutional dynamics, leadership capabilities, and human resource readiness significantly influence the pace and success of this transformation. Furthermore, persistent farmer perceptions regarding potential adverse impacts of digital pricing on their livelihoods are noted. The study outlines a phased approach to the transformation process, encompassing initial communication, goal setting, system analysis, digital application implementation, training, socialization, evaluation, and follow-up. Stakeholder support, particularly from entities such as the Agriculture Office and Bank Indonesia, is identified as crucial in facilitating farmers and traders through this digitization journey, ultimately enhancing market efficiency and benefiting all stakeholders

The development of the culinary business, particularly in spicy noodle restaurant is increasing the popularity among the public. However, crowding in restaurant can directly influence consumer satisfaction. Therefore, this research aimed to (1) analyze influence of human and spatial crowding on consumer satisfaction and attractiveness, (2) assess the impact of attractiveness on consumer satisfaction, and (3) examine influence of human and spatial crowding on consumer satisfaction through attractiveness as a mediating variable. A quantitative research method was used, while the samples were determined using a judgment sampling technique, yielding a total of 100 respondents. Data were collected primarily using a closed questionnaire. Subsequently, data analysis was carried out using descriptive statistical and SEM-PLS analysis with the WarpPLS 8.0 analysis tool. The results showed that (1) human and spatial crowding had a positive and significant influence on consumer satisfaction and attractiveness, (2) attractiveness had a positive and significant influence on consumer satisfaction, and (3) human and spatial crowding had a positive and significant influence on consumer satisfaction through attractiveness as a mediating variable.