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    378 research outputs found

    Partnerships Between Sugarcane Factories and Farmers: Performance, Waste Management, and Perception Analysis

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    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 Effect of the Sustainability of Seribu Galon Program on Household Food Security of Women Farmers in Condongcatur, Sleman Regency

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    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

    Predictive Trends of Major Food Prices in Indonesia: A Deep Learning Approach to Time Series Forecasting

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    Price uncertainty in food commodities will have an impact on people's food consumption. Prediction of future prices is necessary to serve as a policy reference in overcoming price fluctuations. The purpose of the study is to predict the price of major agricultural food in Indonesia in 2023-2029. The research uses time series data from 1990-2022 with price variables of corn, onion red chilli, beef, and chicken. The analytical tool used to answer the research objectives is the Autoregressive Integrated Moving Average (ARIMA) model. The results of the analysis obtained the best model for predicting price forecasts, namely ARIMA on corn commodities (1,1,0), shallots (2,1,0), red chillies (1,1,0), beef (0,1,1), and chicken meat (1,1,1). The results of the prediction of the price of Indonesia's food needs in 2023-2029 as a whole tend to increase

    Mapping and Future Potential of Cocoa Commodity Base Regions in Indonesia

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    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

    Comparing Farmers Capacity in Dealing with Huanglongbing Disease (A Case Study in Jember Regency)

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    Jember Regency is included in top three regencies in Province of East Java that have the largest amount of Siamese citrus production, with a total of 116.473,5 tons which shows a decrease from previous year, that is 171.322,3 tons on 2021. There are two subdistricts in Jember Regency that become Siamese citrus centre, namely Semboro Subdistrict and Umbulsari Subdistrict. Semboro Subdistrict has a smaller land area of Siamese citrus than Umbulsari Subdistrict, but it has more productivity that reached up to 28 ton/ha. It is assumed that the intensity of Huanglongbing (HLB) disease and how farmers overcome the disease may cause the difference. HLB is an infectious disease caused by Liberibacter asiaticus and transmitted by citrus psyllid vector insect. Until now, there is no specific best treatment has been found for citrus crops affected by HLB disease. Thus, this research aims to measure and compare the farmers’ capacity level in overcoming HLB disease with Andragogy Theory as the used grand theory. After conducting a proportional random sampling, data of 30 farmers from Semboro Subdistrict and 32 farmers from Umbulsari Subdistrict were analyzed by independent sample t-test. The result shows there is no significant difference between farmers’ capacity level in Umbulsari and Semboro Subdistrict. The capacity level of farmers in Umbulsari Subdistrict is 62,33%, meanwhile in Semboro Subdistrict is 63,27%

    The Impact of Foot and Mouth Disease on Cow Milk Supply Chain in Bogor

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    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

    GDP, Trade Tax, and Economic Distance's Influence on Ghana's Cocoa Trade with Trading Partners

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    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

    Influence of Human And Spatial Crowding On Consumer Satisfaction Through Attractiveness As A Mediation Variable In Noodle Restaurant

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    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

    Empowerment of Disabled Individuals through CSR Program of Pertamina Inc. TBBM Boyolali to Realize SDGs

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    Disability theory encompasses diverse approaches, including socio-political, materialist, cultural, and poststructuralist perspectives, challenging traditional medical models and emphasizing social causes and implications of disablement. This research examines the process and results of empowering disabled people through Pertamina Inc. Boyolali BBM Terminal's CSR program, which aims to realize Sustainable Development Goals (SDGs). The program has been implemented since 2018, providing batik and sewing training to disabled individuals in Boyolali district. The research uses a qualitative descriptive approach, collecting data through document analysis. The results show that the empowerment process has economically, psychologically, and socially benefited disabled people, enabling them to meet their needs, gain self-confidence, and overcome social stigma. The program's success is also reflected in the participants' annual turnover of 50 million. This achievement supports the realization of SDGs, particularly in reducing poverty, promoting healthy and prosperous lives, ensuring decent work and economic growth, and reducing inequality. The study concludes that the CSR program's empowerment process, which provides skills training, has been highly beneficial and contributes to achieving SDGs. The research recommends that State-owned companies and other companies should prioritize empowering more disabled people, as their numbers remain significant and have not been adequately covered by CSR programs

    Sustainability Of Community Food Barns: A Case Study Of Traditional Groups In Yogyakarta

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    Community food barns (lumbung) are one of the local institutions established to maintain food security in rural areas. In line with this objective, several studies have been conducted to address concerns about the declining sustainability of traditional community food barns, which are vital for ensuring food security and preserving cultural heritage in rural areas. This indicates that there is an urgent need to strengthen local food systems and support rural development initiatives by assessing institutional factors influencing their sustainability. Therefore, this study aims to evaluate the sustainability of community food barns and identify the dominant factors. Multidimensional Scaling analysis was used to measure sustainability and determine the dominant influential factors. The study population comprised 32 respondents from 32 groups of barns spread across the Special Region of Yogyakarta. A total of 3 dimensions were involved in the analysis, namely institutional, socio-cultural, and economic. The analysis results showed that the sustainability of community food barns was classified as the 'quo' criterion. This indicated that the current status of the sustainability of traditional barns could not develop naturally to a higher level without intervention. In addition, the dominant factors determining the level of sustainability were identified from the 3 dimensions. Strategies to improve sustainability could be pursued from various aspects. Based on the results, the current study showed that fostering farmer group activities and enhancing collaboration with various stakeholders were essential for sustaining traditional community food barns. These efforts strengthened institutional support, promoted knowledge sharing, and ensured collective resource management, ultimately contributing to rural development and agricultural resilience

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