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Rice plants (Oryza Sativa L.) are the main staple food commodity in Indonesia, as most of the Indonesian population relies on rice as their primary food. One of the causes of low rice production in Indonesia is that farmers generally cultivate rice improperly, such as in land preparation or land selection. Land suitability in rice cultivation greatly affects crop productivity. A process that can support decisions regarding rice land suitability is the development of a Decision Support System (DSS) website using a combination of the Simple Additive Weighting (SAW) method and the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS). This combination is performed by taking the average (µ) of the final results from the SAW and TOPSIS methods. The final scores of each method are calculated separately, and then the average (µ) of these two results is taken to obtain the final ranking of the alternatives. The data used to determine the suitability of rice land is based on five criteria: soil type, soil pH, rainfall, temperature, irrigation and water supply. The alternative data used in the study includes six alternatives: Sungai Kunjang, Sambutan, Samarinda Utara, Palaran, Loa Janan Ilir, and Samarinda Seberang. The aim of this research is to provide information on alternative solutions to farmers or farmer groups in determining rice land suitability. The results of the combination of the SAW and TOPSIS methods show that the alternative with the highest final score is Samarinda Utara (A3), with a final score of 0.7337. Meanwhile, the alternative with the lowest final score is Sambutan (A2), with a final score of 0.4402.

The factors influencing lowland rice production in Padang City are the focus of this study. The study was conducted through a field survey of lowland rice farmers to obtain primary data relevant to farming activities. The analysis method used was multiple linear regression with the dependent variable being lowland rice production (Y) and independent variables including land area (X₁), seeds (X₂), fertilizer (X₃), labor (X₄), and farming experience (X₅). The research findings show that simultaneously all production factors, including land area, seeds, fertilizer, labor, and farming experience, have a significant effect on lowland rice production in Padang City. Partially, the variables of fertilizer and labor have a significant effect on lowland rice production, while land area, seeds, and farming experience have no significant effect. These findings indicate that the increase in lowland rice production in Padang City is more determined by input intensification efforts, particularly through appropriate fertilization and labor availability, compared to land expansion. As a result, agricultural policies need to be directed at increasing input efficiency to support the productivity and sustainability of rice farming.

The instability of the climate is becoming increasingly prominent across Southeast Asia, creating uncertainty in agricultural systems that are highly dependent on seasonal weather patterns. Indonesia, where rice remains the primary staple food, is particularly vulnerable to the effects of rising temperatures and rainfall deficits. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict rice production while incorporating indicators of extreme climate anomalies. Using publicly available datasets, including FAOSTAT production statistics, NOAA rainfall and temperature anomalies, and climate indices from the World Bank, this model was developed following the Box-Jenkins procedure. Among the configurations tested, the SARIMA model (1,1,1)(0,1,1)₁₂ showed the strongest performance, reflected in a MAPE of 4.62% and low RMSE values. The model indicates that significant El Niño events can reduce annual rice production by 3–7%, while wetter La Niña conditions may support production recovery. These findings highlight the importance of integrating climate-sensitive data into agricultural forecasting. The model presented here could support early warning systems, adaptive farming strategies, and long-term food security planning in Indonesia.

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.

Rice production remains a strategic component in supporting local food security, yet its performance is strongly influenced by the heterogeneity of farmers' characteristics. This study aims to describe the characteristics of rice farmers in Tonra District and analyze their implications for the formulation of agricultural extension programs. Using a descriptive quantitative approach with 100 respondents selected proportionally from eleven villages, the research examines key variables including land size, seed use, fertilizer application, age, education level, and farming experience. The findings reveal clear variations in productivity among farmers, where higher production is generally associated with larger landholding, optimal input use, productive age groups, higher educational attainment, and moderate farming experience. These patterns highlight how farmers' demographic and agronomic characteristics shape their management capacity and adoption of recommended practices. The study emphasizes that extension programs must be designed based on farmers’ actual profiles to enhance relevance and effectiveness. Tailored strategies—such as visual communication for low-education groups, mechanization support for senior farmers, and input-use optimization training—are necessary to improve productivity outcomes. The results provide an important basis for developing more targeted, responsive, and sustainable agricultural extension programming at the district level.

The issue of global food security is increasingly pressing amidst climate change, population growth, and environmental degradation. The agricultural sector, particularly rice production, faces threats from pests and diseases that reduce crop yields and farmer incomes. Climate change exacerbates pest attack patterns, increasing crop losses. In addition, excessive use of chemical pesticides leads to pest resistance and negative impacts on ecosystems and human health. This study used a descriptive method with a qualitative approach, and the study population included farmers who cultivate rice fields and farmer groups that have received Integrated Pest Management (IPM) in Makale District, Tana Toraja Regency, with a population of 325 families. Respondents were randomly selected at 15% of the total population, with a sample of 49 farmers consisting of three farmer groups. The results showed that the role of farmer groups in IPM implementation in Makale District includes extension and training (65.5%), facilitating access to information and resources (69%), decision-making (67.5%), and conflict management and IPM cooperation (66.5%). Therefore, it is necessary to strengthen the implementation of the rice farming system, with support from the Government and the Tana Toraja Regency Agriculture Service to optimize the development of rice farming businesses.

Farmers are grappling with drought challenges that jeopardize rice production. To address this, the government is promoting the use of water pumps and the construction of reservoirs. However, reservoir development comes with specific stipulations, such as the land used needing to be owned by the village or government. Climate change poses a significant challenge to Indonesia's agricultural sector. The pump irrigation program has emerged as a crucial solution for water scarcity in farmlands. This research was conducted in Belangturi Village, Ruteng District, Manggarai Regency, chosen purposively due to its status as a key rice paddy development area. The study took place from December 2023 to April 2024, employing simple random sampling. Data indicates there are 40 active rice paddy farmers in Belang Turi Village. An economic analysis forecasts substantial benefits from this program, including a 20-30% increase in rice production, an improved cropping index, crop diversification, and a 40-60% rise in farmer income. The financial analysis yields highly positive results: an NPV of IDR 450,000,000, an IRR of 18%, a Payback Period of 4.5 years, and a BCR of 1.75, all strongly indicating a highly feasible investment. From a social standpoint, pump irrigation is desperately needed and enthusiastically supported by the community. It's perceived as vital for overcoming critical water shortages, enhancing welfare, and improving access to education and healthcare. Therefore, implementing this pump irrigation system is highly recommended as a comprehensive solution for sustainable agricultural development in Belang Turi Village.

The use of technology in rice farming can significantly increase production, reduce management time, expand cultivated land, and improve product quality to meet consumer standards. When rice production meets market demand, the selling price becomes higher, thus increasing farmers’ income and welfare. The presence of farmer groups plays a vital role as a learning forum for gaining knowledge, implementing agricultural technology, and facilitating access to agricultural tools and machinery. This enables farmers to apply technology effectively, improve work efficiency, and address challenges in rice farming. Considering the great potential of this region for rice cultivation, supported by growing local food demand and the national food security program, technology implementation becomes essential. This study employed the Likert scale method to measure farmers’ attitudes, opinions, and perceptions, with samples collected through purposive sampling. The findings show that the role of farmer groups in implementing rice farming technology in the Misa Kada (Advanced) group reached 74.91%, while the Ta’pan Kila’ (Beginner) group reached 66.07%. This indicates that farmer groups have contributed effectively, though some activities remain suboptimal. Strengthening learning class programs is the most strategic effort to enhance farmers’ understanding of agricultural technology, improve productivity, and maintain Tana Toraja’s cultural values.

Indonesia is known as an agrarian country with abundant natural resources; however, challenges remain in achieving food security, particularly in rice production. Bagok Village, East Barito Regency, Central Kalimantan, has considerable potential for rice cultivation, yet farmers face constraints such as limited knowledge of cultivation practices, restricted access to technology, and insufficient training or extension support. This study aims to analyze the improvement of farmers’ knowledge after participating in technology transfer activities. A qualitative approach supported by quantitative data was employed, with data collected through observation, interviews, focus group discussions, questionnaires, and documentation. Data were analyzed using a process of reduction, presentation, and conclusion drawing. The results show significant improvements in farmers’ knowledge across three key aspects: rice cultivation based on Good Agricultural Practices (GAP) increased by 57.6%, water management by 54.98%, and pest and disease control by 35%. These findings highlight the importance of continuous and participatory training to encourage the adoption of agricultural innovations. Overall, technology transfer activities have proven effective in strengthening farmers’ capacity to manage rice fields more efficiently, thereby supporting national food security efforts.

The agricultural sector is one of the most important sectors. The majority of rice paddies serve as the main food commodity consumed by the community, making rice farming the majority in the agricultural sector. However, there are challenges in production such as low agricultural efficiency, limited access to resources, and dependence on traditional techniques. Therefore, strategies are needed to improve rice production that can impact the welfare and economy of farmers. The goal of this research is to analyze the condition of rice farming in Banten, specifically in Ciruas. It aims to identify the problems affecting production as well as the efforts that have been made by the government previously. Additionally, the research will provide strategies that are appropriate for increasing production yields and improving the welfare and economy of farmers. In this study, a qualitative research method was used with SWOT analysis method, along with data collection through primary data in the form of interviews and secondary data in the form of a Literature Review. The results showed that rice production in Banten declined to 298.84 thousand hectares and 1.52 million tons of GKG in 2024, but Ciruas District remains a rice granary despite facing many problems such as pests, low selling prices, drought, and extreme weather. Although various efforts have been made, such as training, provision of equipment, and water pumps, a SWOT analysis is needed to evaluate the effectiveness of strategies and plan alternative actions to improve farmers' production yields. Thus, through the SWOT analysis method, it is hoped that paddy field production will increase sustainably, thereby supporting food security and the economic welfare of rural communities in Banten and Ciruas District.

Agriculture is a sector that plays a vital role in the economies of many developing countries, including Indonesia. This study aims to analyze the production scale and examine the factors influencing rice production, such as capital, labor, and land area. The research was conducted in Kerambitan Sub-district, Tabanan Regency. The agricultural sector, particularly rice production, plays an essential role in the regional economy and food security. However, it continues to face fluctuations due to various influencing factors. This study employs a quantitative method using multiple linear regression based on the Cobb-Douglas production function to measure the scale of production. Data were collected through questionnaires and interviews with rice farmers in Kerambitan Sub-district, using proportionate stratified random sampling. The results indicate that capital, labor, and land area have a positive and significant effect on rice production in Kerambitan Sub-district, Tabanan Regency. Furthermore, the production scale in this study shows decreasing returns to scale, meaning that each additional unit of input yields a proportionally smaller increase in output. These findings imply the need for strategies to enhance production efficiency and optimize resource utilization to improve rice productivity.

This study aims to analyze the dynamics of rice production in Tasikmalaya City during the period 2020 to 2025, as well as identify challenges and formulate relevant strategies in order to support national food self-sufficiency. The approach used is descriptive qualitative by utilizing secondary data from the Central Statistics Agency (BPS) and various policy documents and relevant scientific studies. The results of the study indicate that rice production in Tasikmalaya City experiences fluctuations influenced by natural factors, policies, and pressure on agricultural land. The main challenges faced include land conversion, limited technology, and farmer access to training and financing. To overcome this, the proposed strategy includes protecting agricultural land, increasing farmer capacity, and strengthening agricultural institutions and infrastructure. This study makes an important contribution to efforts to increase regional rice production in supporting national food security in a sustainable manner.

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.

Rice imports have been demonstrated to influence the Farmer's Exchange Rate (NTP) significantly. A reduction in rice imports by 356,286.2 tons in 2020 corresponded with a decline in NTP to 101.65. In contrast, per capita, weekly rice consumption did not exhibit a statistically significant impact on NTP, as evidenced by the lowest consumption in 2019 (1.504 kg), while the NTP remained at 104.46. On the other hand, rice productivity was found to have a notable influence on NTP, with trends in productivity closely mirroring those of the NTP. The harvest area, however, did not present a significant correlation with NTP, as demonstrated in 2019 when an increase in harvest area did not prevent the NTP from remaining at a lower level of 104.46. Lastly, rice production had a significant effect on NTP, with increases in production during 2021 and 2022 leading to subsequent increases in the NTP.                  

Rice prices in Indonesia have experienced significant fluctuations from 2019 to 2023, influenced by factors such as production, consumption, imports, international prices, and crop damage. The highest rice production was recorded in 2022 at 31,540,522 tons, while the lowest production occurred in 2023 at 31,101,285 tons. The highest rice consumption was in 2023 at 30,616,081 tons, and the lowest was in 2019 at 28,930,000 tons. The highest rice imports were in 2023 at 2,715,854 tons, and the lowest was in 2019 at 6,197 tons. Global rice prices also fluctuated, ranging from Rp. 6,674/kg in 2019 to Rp. 8,667/kg in 2023. Crop damage was lowest in 2022 at 470,131 hectares and highest in 2019 at 819,444 hectares. It's important to note that the fluctuations in rice prices are intensely influenced by several factors that highlight the need for effective price stabilization policies to guarantee the accessibility and affordability of rice for the public.

The Pukun Kuala Tanjung rice factory is a rice factory located in Pematang Tobat village, Sei Suka subdistrict, Batubara district. The Pukun Kuala Tanjung rice factory has been operating for fifteen years in milling rice into rice. In operating the Pukun Kuala Tanjung rice factory, it can produce 25 tons of rice/week. In carrying out the rice production process at the Pukun Kuala Tanjung rice mill, we often find that the rice produced does not match the quality of production, including the color of the rice being less than good (yellow), rice that is not peeled and crushed, which can lead to a decrease in the quality for sale and even unsalability. rice on the market so that the Pukun Kuala Tanjung rice factory experiences losses in producing rice. The aim of this research is as follows: to know how to control the quality of rice using the SQC (Statistical Quality Control) method, to find out the quality of rice produced by the Pukun Kuala Tanjung rice factory is still in good condition. controlled or not. This research uses descriptive quantitative research both when collecting and processing data where the data collected is data on defective rice products and data processing will be carried out using the SQC (Statistica Quality Control) method. From the data processing that has been carried out in this research, the author draws the following conclusions: Rice quality control using the SQC (Statistical Quality Control) method can be seen as follows: Based on the control chart, it is known that defective products are not within the upper control limits (Upper Control Limit) and Lower Control Limit which can mean that a defective product requires repairs to be made to the defective product.

Indonesia is known as an agricultural country, making the agricultural sector very important with the commodity most widely cultivated by the public being rice. Karangsemanding Village is a village that has extensive agricultural land but has a small productivity value compared to other villages. This research aims to determine the factors that influence the production of lowland rice farming and determine the efficiency of lowland rice farming in Menganti Hamlet. The research was conducted in Menganti Hamlet in June-September 2023. Data collection was carried out through interviews and questionnaires as well as secondary data obtained. The sampling technique was saturated sampling which involved all members of the population sampled as many as 86 farmers. Data were analyzed descriptively and in multiple linear regression analysis with the help of SPSS software. The research results show that production factors in the form of land area, seeds, fertilizer, pesticides and labor simultaneously influence rice production, while partially the variables of land area, pesticides and labor have a significant influence on production. The results of the technical efficiency analysis show a value of 0.8894 which is said to be efficient in the use of production factors because it is close to 1. Judging from the price efficiency (allocative) of lowland rice farming, it shows a value of 0.0416, this shows that lowland rice farming in Menganti Hamlet is not yet efficient economically. price. Meanwhile, the economic efficiency of lowland rice farming shows a value of 0.0370, which means lowland rice farming is economically inefficient..    

This research explains the level of feasibility of rice farming in Mojopetung village, Dukun sub-district, Gresik district. This business is engaged in rice production. This research uses a descriptive analysis method which uses 7 informants from rice farming owners as research subjects. Data collected through interviews aims to analyze fixed costs, total costs, variable costs, demand and profits. The feasibility of the business carried out is by using the R/C Ratio (Revenue Cost Ratio, B/C Ratio (Benefit Cost Ratio), BEP (Break Even Point) calculation in order to find out whether the business is feasible or not. The results of this research can provide education for business people about the continuation of rice farming in the village of  Mojopetung, Dukun Gresik.

Indonesia is one of the thrid largest rice producers after India and China, but Indonesia still imports to other countries because Indonesia's population countinues to increase. This study aims to determine the influience of harvested land area, pupulation, rice production, rice consumption, local rice prices, national rice reserves and cassava prices on rice imports in Indonesia. Hypotesis testing with multiple linear regression with help of eviews 12. The data used is a time series between 1980-2022 for 43 years. Research data is sourced from the Food Agriculture Organization (FAO), the Ministry of Trade, BPS, scientific journals and various other websites. The results showed that the area of harvested land, population, rice production,  rice comsumtion, local rice prices, national rice reserves and cassava prices  simultaneously have a significant influence on rice imports. Partially, the varibeles of harvested land area, national rice reserves, population, local rice prices, and cassava prices have a significant effect on rice imports in Indonesia. Variable rice production and comsumtion have an insignificant influence on rice imports in Indonesia. The implication of this study is that with the renewal of years and variables of rice subtitution goods, it is hoped that the goverment can apply effectively and effeciently, this is because it will have an impact on reducing imports, so that Indonesia does not continue to depend on other countries