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. The Agropolitan Program based on corn commodities in Gorontalo Province aims to enhance agricultural productivity, improve farmers’ welfare, and strengthen the competitiveness of corn. This study examines the progress of program implementation and its impact on production, quality, export volume, and competitiveness. A quantitative approach was employed, utilizing SWOT analysis and the Revealed Comparative Advantage (RCA) method. Data were obtained from the Central Bureau of Statistics, relevant institutions, as well as limited observations and interviews.The results indicate that the Agropolitan Program has contributed positively to the expansion of harvested areas and increased corn production, particularly during the 2020–2024 period. This increase is not only evident in terms of quantity but has also begun to show improvements in the quality of yields, although these improvements are not yet evenly distributed across regions. However, export performance remains fluctuating, with unstable RCA values, indicating that the competitiveness of corn in the international market still faces various challenges.This condition is influenced by limitations in logistics infrastructure, weak farmer institutions, dependence on middlemen, and the suboptimal integration of the value chain from upstream to downstream. In addition, access to technology, financing, and market information remains a significant constraint that needs to be addressed. It is concluded that the success of the program requires strengthening institutional capacity, improving distribution efficiency, and implementing sustainable and integrated export policies to support the stability and long-term competitiveness of corn.

Cassava is one of the strategic agricultural commodities in Indonesia, contributing significantly to national production, particularly in several major producing provinces. In addition to the challenge of declining harvested areas, cassava processing activities also generate agricultural waste that poses environmental risks. In Purwasari Village, Dramaga Subdistrict, Bogor Regency, household-scale cassava processing industries produce solid waste in the form of cassava peels, which are not optimally managed and are commonly discarded in the surrounding environment. This cassava waste has the potential to cause environmental pollution, unpleasant odours, and negative impacts on public health. One sustainable alternative for managing this cassava waste is the use of cassava peels as a raw material for composting. This study aimed to identify problems associated with cassava peel waste and to assess members of the Taruna Tani Millennial Farmer Group's interest in compost production using cassava peels. The research was conducted from December 2024 to June 2025 using a community-based assistance approach. Data was collected through interviews and questionnaires involving 20 respondents. The results showed that the main problems associated with cassava peel waste include waste accumulation, limited processing facilities, and low community awareness. Farmers’ interest in cassava peel composting was generally categorized as high, with an average score of 77%, although several indicators remained at a moderate level. Extension activities and hands-on demonstrations were proven to enhance farmers’ understanding, interest, and participation. With sustained educational support and adequate facilities, the use of cassava peel compost has strong potential to promote environmentally friendly, sustainable agricultural waste management.

This study aims to assess the growth rate of harvested area and rice production in Bengkulu Province during the 2019–2024 period and to examine spatial variation across districts as a basis for regional agricultural policy planning. The data used are secondary, consisting of a series of spatial and temporal data on harvested area and rice production; the analysis method includes calculating the compound annual growth rate (CAGR) for each indicator and examining temporal and spatial patterns across districts. The analysis results indicate a negative growth rate in the rice sector, with a relatively larger contraction in harvested area compared to production, accompanied by fluctuations and differences between years, indicating heterogeneity in agricultural performance at the district level. These findings have clear policy implications: the need for agricultural land protection measures, improvement and maintenance of irrigation infrastructure, increased farmer access to technology and markets, and the implementation of indicator-based growth rate monitoring to determine intervention priorities. To strengthen the policy base, recommended further research includes field verification and combined (quantitative-qualitative) studies to identify local factors driving the observed trends and fluctuations.

Rice is the staple food of most Indonesian people, making its availability a national priority. This study aims to analyze the effect of harvested area on national rice production using a time series linear regression approach based on monthly data in 2025. The research employed quantitative methods using secondary data analyzed with SPSS 27. The regression results produced the equation Ŷ = –0.067 + 0.003X. The t-test showed a significance value < 0.001, indicating that harvested area has a positive and significant effect on rice production. The coefficient of determination (R²) was 0.994, meaning 99.4% of rice production variation is explained by harvested area. These findings indicate that fluctuations in national rice production are largely determined by changes in harvested area rather than short-term productivity variations. Therefore, policies to increase rice production should prioritize maintaining harvested area through land protection, planting acceleration, and crop failure mitigation. The study contributes to providing an empirical model for short-term prediction of rice production in Indonesia.

Clove is one of the plantation commodities that plays a significant role in the national economy, particularly as a raw material for the kretek cigarette industry, as well as the food and pharmaceutical industries. This study aims to analyze the factors influencing clove production in Bengkel Village, Busungbiu District, Buleleng Regency. The independent variables used in this study include labor, capital, harvested area, and fertilizer, while clove production serves as the dependent variable. A quantitative approach was employed using a multiple linear regression analysis in the form of a power function. Data were collected through questionnaires distributed to 140 clove farmers as respondents. The results of the study indicate that labor, capital, harvested area, and fertilizer simultaneously have a significant effect on clove production in Bengkel Village. Partially, each of these variables also has a positive and significant effect on production. These findings highlight the importance of optimizing the use of these production factors to improve clove yields in Bengkel Village, Busungbiu District, Buleleng Regency.

Indonesia, as an archipelago, has significant agricultural potential, but its optimal utilization requires balancing rice production volume with the available harvest area. This study analyzed the contribution of harvested area to rice production in Gorontalo Regency using linear regression analysis. The data used included the harvest area and the amount of rice production during the period 2018–2024, sourced from the Central Bureau of Statistics (BPS) of Gorontalo Province. The independent variable in this study was the amount of rice production (tonnes), while the dependent variable was the area of harvest (Ha). The analysis results revealed a very strong linear relationship between the two variables, with a correlation coefficient (R) of 0.8437 and a coefficient of determination (R²) of 0.7119. The regression equation indicated that an increase in rice production by 4.8891 tonnes corresponded to an increase in the harvested area by 1 hectare. The model significance value of 0.017017 indicated that the regression model was statistically significant. This finding demonstrates that the amount of rice production significantly affects the area of harvest, and the model can serve as a predictive basis for planning agricultural sector policies in Gorontalo Regency.

This study aims to analyze the development and trends in rice production in North Sumatra Province during the period 2020–2024 using a descriptive statistical approach. The data used is secondary data from the Central Statistics Agency (BPS) in the form of rice production, harvest area, and productivity. The results of the analysis show that rice production fluctuated but tended to increase, with the highest production in 2024 at 2,204,875.51 tons and the lowest in 2021 at 2,004,142.51 tons. Trend analysis produced a positive slope value of 32,861 tons per year, indicating a long-term upward trend in production. The correlation between harvest area and production shows a strong positive relationship, where an increase in harvest area is consistently followed by an increase in production. Factors affecting production fluctuations include climate change, land area, cropping patterns, and agricultural infrastructure and policy support. Overall, the results of the study confirm that increases in rice production are highly dependent on land management, productivity, and the stability of climatic conditions in the North Sumatra region.

According to the Central Statistics Agency for 2019-2021, the harvested area and area of ​​corn plants according to districts/cities, corn production comes from five districts, namely Bualemo district, Gorontalo district, Pohuwato district, Bone Bolango district, North Gorontalo district and Gorontalo city with a total of 377 432.00 ha in 2019, 304 945.00 ha in 2020, and 334 945.00 ha in 2021. By the end of 2022 it is predicted that 340,500 hectares or 27.38 percent of the entire Gorontalo land area will be planted with hybrid corn with a total harvest estimated at 1.61 million tons. This research uses qualitative methods, with primary data sources and secondary data. Corn productivity affects the net income of corn farmers apart from the selling price, where low productivity causes minimal harvest results, so the farmer's income is also low. Apart from that, fluctuations in corn prices are also an obstacle in increasing net income, when corn prices are high farmers get bigger profits. However, when the price of corn falls, farmers' income will also decrease. To increase the competitiveness of corn commodities in Gorontalo Province, it is necessary to invest in improving agricultural technology, opening wider market access, and providing greater government policy support. In this way, corn commodities in Gorontalo Province can become more competitive in both local and international markets.

This study was conducted to determine the factors that influence the farmer's exchange rate (the ratio of the price index received by farmers to the price index paid by farmers) in the food crops sub-sector in Riau Province. The data collected in this study is data published by the Central Statistics Agency of Riau Province. The data obtained were then analyzed using SPSS 22. The test results show that the level of expenditure has a negative and significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (-2.475) < ttable (2.44691) with a significant value of 0.048 < 0.05. Harvested area has a significant positive effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (4.441) < ttable (2.44691) with a significant value of 0.004 <0.05. Meanwhile, the food import variable has no significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (2.273) < ttable (2.44691) with a significant value of 0.063 > 0.05, with a value of Fcount (12.476) > Ftable , (4,35).