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The agricultural sector plays a vital role in supporting Indonesia's economy, particularly in food provision and increasing rural household income. One of the promising horticultural commodities is California papaya (Carica papaya L.), known for its high productivity and short harvesting cycle. This crop is favored by farmers due to its stable market demand. However, to ensure the financial feasibility of this farming enterprise, a comprehensive financial analysis is necessary. This study aims to analyze the revenue, production costs, income, and financial feasibility of California papaya farming in Hinai Subdistrict, Langkat Regency. The research employed a descriptive quantitative method through a survey approach, with a purposive sample of 34 farmers. Data were analyzed using a farm income analysis approach, including the calculation of fixed costs, variable costs, total revenue, net income, and the Revenue/Cost (R/C) ratio. The results showed that the total production cost was IDR 590.734.000, while the total revenue reached IDR 1.970.685.000. The net income obtained by farmers amounted to IDR 1.379.951.000, with an average income of IDR 40.586.794 per farmer. The R/C ratio was calculated at 3.33, meaning that every IDR 1 spent on production costs generated IDR 3.33  in revenue. California papaya farming in Hinai Subdistrict is financially feasible, provides significant profit, and has strong potential to be further developed as a primary income source for horticultural farmers.

This study aimed to evaluate the effectiveness of liquid organic fertilizer (POC) derived from kirinyuh (Chromolaena odorata) leaves on the growth and yield of potted corn plants. The research was carried out at the Agricultural Development Center (BPP) of Malimbong Balepe’, Tana Toraja District, South Sulawesi Province, located at an altitude of 815 meters above sea level. The experiment was designed using a simple randomized block design (RBD) consisting of four treatments: K0 = control (without treatment), K1 = 20% concentration of kirinyuh leaf POC (200 ml POC + 800 ml water), K2 = 40% concentration of kirinyuh leaf POC (400 ml POC + 600 ml water), and K3 = 60% concentration of kirinyuh leaf POC (600 ml POC + 400 ml water). Parameters observed included plant height at 5 and 7 weeks after planting (WAP), number of leaves at 7 WAP, ear length, ear diameter, and ear weight per plant. The results showed that kirinyuh leaf POC significantly affected the growth and productivity of potted corn plants. Application of POC at 60% concentration (K3) produced the best results, indicated by increased plant height, greater number of leaves, longer ear length, larger ear diameter, and higher ear weight compared to other treatments and control. This finding suggests that kirinyuh leaves, which are often considered as agricultural weeds, have potential as an alternative source of organic fertilizer that is environmentally friendly, low-cost, and effective in improving crop growth and yield. In conclusion, kirinyuh leaf-based liquid organic fertilizer, particularly at a concentration of 60%, demonstrated the highest effectiveness in supporting corn growth and productivity. These results provide practical insights for farmers to utilize locally available organic materials as an alternative to chemical fertilizers in sustainable agricultural practices.

The growing demand for organic fertilizers as an alternative to chemical fertilizers is in line with increasing public awareness of environmentally friendly agriculture. Meanwhile, livestock waste, particularly rabbit urine, remains underutilized and is often discarded, despite its high nitrogen, phosphorus, and potassium content and potential as a raw material for liquid organic fertilizer (LOF). This study aims to design and develop a simple technological innovation for processing rabbit urine into economically valuable LOF, offering new business opportunities for local communities. Another objective is to advance bioactivator-based processing technology to produce an effective, marketable, and eco-friendly organic fertilizer that enhances plant growth. The research employed an applied research method with an experimental approach, including collection and processing of rabbit urine, simple production of LOF, effectiveness testing on horticultural crops with local farmers, and analysis of business feasibility and local marketing strategies. The study resulted in a simple bioactivator-based technology for converting rabbit urine into LOF through a fermentation process of more than 14 days, producing fertilizer rich in nitrogen, phosphorus, and potassium. The LOF improved horticultural crop growth by 25–30% compared to control plants. The group business model provides livestock farmers with new business opportunities, achieving profit margins between 40% and 50%. This research produced a replicable technology guide and usable LOF product, contributing to waste reduction and supporting sustainable agriculture through community-based entrepreneurship.

The agricultural sector plays a crucial role in the Indonesian economy, contributing significantly to Gross Domestic Product (GDP), employment, and national food security. Conventional financing is often poorly suited to the unique characteristics of the agricultural sector, prompting the exploration of more adaptive alternatives. Islamic banking, with its principles of fairness and risk-sharing, offers innovative financing solutions. One such contract with significant potential but underutilized is the Salam contract, a purchase-and-sell contract where payment is made upfront and goods are delivered at a later date. This study aims to analyze the characteristics of the Salam contract in depth, identify challenges and opportunities in its implementation in the Islamic agricultural sector, and formulate strategies for optimizing its application. Using a qualitative descriptive research method based on literature review and comparative analysis, this article finds that the Salam contract offers an effective financing solution for farmers' working capital needs, price risk mitigation for farmers, and supply security for buyers. Key challenges include the risk of crop failure, quality risk, moral hazard risk, and limited supporting infrastructure and market understanding. Optimizing the Salam contract can be achieved through the development of innovative contract models, strengthening risk management through takaful instrumentation, utilizing digital technology, improving Islamic financial literacy, and collaboration between stakeholders. The implications of this research are expected to provide practical guidance for Islamic financial institutions, farmers, and policymakers to create a more inclusive and sustainable Islamic agricultural financing ecosystem. With the right approach, the Salam contract has the potential to become a key instrument in Islamic agricultural financing. Its widespread implementation can drive the transformation of the agricultural sector toward a more productive and equitable direction. Sustainable efforts are needed to ensure its effective implementation in the field.

Food security is a fundamental aspect of independent and sustainable village development. Kajarharjo Village has abundant natural resource potential, such as cassava and various herbal plants. However, the utilization of this potential is still less than optimal, both in terms of food processing and the implementation of environmentally friendly agriculture. This condition encourages the need for community service activities oriented towards food innovation and strengthening sustainable agriculture. This service activity was carried out using a participatory and applied approach at the Kajarharjo Village Hall. The main target is the village community, especially housewives and farmers. The program is implemented through two main activities, namely: (1) training in making cassava leaf nuggets as a nutritious food, an alternative local product, and a household business opportunity; and (2) training in making organic boosters from natural ingredients as a more environmentally friendly substitute for chemical fertilizers. Implementation methods include counseling, demonstrations, direct practice, and interactive discussions to ensure active community involvement. The results of the activities show an increase in community knowledge and skills. Housewives are able to process cassava leaves into products with nutritional and economic value, while farmers gain skills in mixing organic boosters that can improve soil quality and agricultural yields without relying on chemical fertilizers. The participants' enthusiasm was also evident in their active participation in the practical exercises and their desire to apply the knowledge gained in their daily activities. In conclusion, this activity successfully encouraged the utilization of local potential in Kajarharjo Village through food innovation and organic farming. Empowering the community through cassava leaf processing and organic fertilizer production not only strengthens food security but also opens up business opportunities, maintains environmental health, and supports the development of an independent, healthy, and sustainable village.

Groundnut plants must be well maintained so that they can be food crops that have economic value and high fat and protein content. Many farmers still plant with the old pattern so that peanut plants are less fertile because they are affected by pests and other diseases. So with an expert system to diagnose peanut plants can help farmers or the general public in knowing the solution if experiencing problems or symptoms of this peanut plant. The application of the WP (weighted product) method can help the application become structured. From the results of the study, the expert system for diagnosing peanut plants can help many people for use as fundamental insights.

Coffee is a leading commodity in Indonesia's agricultural sector, possessing high economic value and providing a livelihood for many farmers. However, coffee plant productivity often declines significantly due to various diseases affecting the leaves, stems, and berries. This situation is exacerbated by the lack of knowledge among most farmers in recognizing early disease symptoms, resulting in delayed treatment. Consequently, crop losses are unavoidable. Based on these challenges, this study aims to design and build an expert system capable of diagnosing coffee plant diseases quickly, precisely, and accurately using the Bayesian Theorem method. This method was chosen because it can calculate the probability of a disease occurring based on observed symptoms in plants. The Bayesian approach allows the system to provide more reliable diagnostic results by updating the probability values ​​as new evidence is introduced. The developed expert system is web-based, making it easily accessible to users, both farmers and other interested parties. Users simply select the symptoms observed in coffee plants, and the system will then provide a diagnostic result in the form of possible diseases and their probability levels. Test results indicate that the system is capable of providing fairly accurate diagnostic results and can be used as a basis for farmers in making initial decisions regarding coffee plant disease management. With this expert system, farmers are expected to improve their ability to detect coffee plant diseases early, thereby maintaining crop productivity. This expert system is expected to be an effective decision support tool for farmers to reduce crop losses and improve agricultural sustainability.

Limited knowledge and utilization of digital technology in the fisheries and plantation sectors remains a major obstacle for the people of Samo Village, South Halmahera Regency, the majority of whom work as fishermen and farmers. This results in low productivity, limited access to information, and less than optimal development of micro-enterprises based on local potential. This community service activity aims to introduce and train the use of Fishbrain, Plantix, and ChatGPT applications relevant to local community needs. The activity implementation method includes three main stages: the preparation phase, which involves coordination with village officials and the development of training materials; the implementation phase, which involves socialization and hands-on training; and the evaluation phase, which involves discussions, reflections, and Q&A sessions with participants. The results of the activity demonstrated a significant increase in participants' understanding and skills in utilizing digital technology. The Fishbrain application has been proven to assist fishermen in determining more potential fishing locations based on global community data, while Plantix is ​​useful in detecting plant diseases, providing treatment recommendations, and increasing crop yields. Meanwhile, ChatGPT is used by the community as a virtual assistant to support information searches, innovation ideas, product marketing strategies, and digital-based small business planning. The participants' enthusiasm was evident in their active involvement throughout the training, their eagerness to try the applications independently, and their ability to repeat the three applications' core functions. In conclusion, this training activity not only broadened the community's digital knowledge and skills but also encouraged a shift in mindset toward utilizing technology as a means to improve well-being. With the knowledge gained, the Samo Village community is expected to be more adaptive to technological developments, enabling the sustainable development of the fisheries, plantations, and local micro-enterprises sectors.

The presence of scattered waste in the environment has a significant impact on both environmental sustainability and human health. In Indonesia, the accumulation of waste has reached alarming levels, amounting to approximately 175,000 tons per day, or the equivalent of 64 million tons annually. Household activities are one of the main contributors, producing a wide variety of waste, including organic and non-organic materials. Poto Village is among the areas receiving particular attention regarding this issue due to the challenges it faces in waste management. Improper management of waste not only leads to air, water, and soil pollution but also increases the risk of various health problems within the community. One of the programs designed to address this problem is the 3R program, which emphasizes three main principles: reduce, recycle, and reuse. The purpose of this community service initiative is to improve public knowledge and awareness of effective waste management through the application of 3R practices. The activities were carried out in three main stages, namely preparation, education, and discussion through a question-and-answer session. The process began with a socialization activity that introduced the objectives, purposes, and sustainability aspects of waste management efforts in the village. The educational session was attended by 30 participants, consisting of housewives, farmers, and entrepreneurs, who represented key groups within the community. Furthermore, interviews with local cadres revealed that waste is collected weekly by garbage trucks, indicating the village’s commitment to environmental management. Participants responded enthusiastically throughout the educational sessions, showing a strong interest and positive reception toward the information provided. As a follow-up step, future activities could include hands-on training in waste management using available media and tools, which would allow participants to apply the concepts learned in a practical and sustainable manner.

Pesidi Village, located in Grabag Subdistrict, Magelang Regency, is a highland region with promising potential in agriculture and livestock, particularly sheep farming. However, one of the major challenges faced by local farmers is the limited availability of forage during the dry season, coupled with the low utilization of agricultural by-products such as rice straw. These constraints often hinder livestock productivity and pose risks to feed security. To address this issue, a community service program was conducted with the aim of introducing and demonstrating local-based feed processing technologies, including silage, ammoniation, and Urea Mineral Block (UMB) production. The activity was implemented in several stages: problem identification, socialization, education, training, and monitoring of farmer implementation. Through this participatory approach, farmers were given hands-on training and practical guidance on processing alternative feed sources to ensure the availability of nutritious and sustainable livestock feed. The results showed that farmers began adopting UMB as a feed supplement due to its practicality and visible benefits in maintaining livestock health and productivity. However, silage and ammoniation methods were not yet widely adopted, mainly due to limited experience, lack of supporting equipment, and the perception that the processes were relatively complex. Despite these challenges, the program succeeded in raising farmer awareness of the importance of feed diversification and the optimization of agricultural waste. The training provided valuable insights into how the integration of silage, ammoniation, and UMB can increase feed efficiency, reduce dependency on fresh forage, and support sustainable livestock management. The implementation of these three technologies holds significant potential to enhance sheep farming productivity in rural highland communities, while simultaneously strengthening food security and supporting environmentally friendly agricultural practices.

The agricultural sector plays a crucial role in fulfilling food needs, but it continues to face several challenges, including limited land, climate change, and the need for more cost-efficient production methods. To address these challenges, the application of Artificial Intelligence of Things (AIoT) technology emerges as a promising solution to enhance productivity and efficiency in farm management. AIoT technology integrates artificial intelligence (AI) and the Internet of Things (IoT), enabling smarter decision-making, automation, and real-time data analysis in agricultural practices. This community service activity aimed to provide AIoT technology training to the Satria Tani Hanggawana Farmers' Group in Kalisapu Village, Slawi Sub-district, Tegal Regency, focusing on premium melon cultivation. The methods used in the activity included presentations on relevant materials, an introduction to AI and IoT-based Smart Farming technology, hands-on practice in a greenhouse, and interactive discussions. These methods were designed to equip participants with practical knowledge about integrating AIoT technology into their agricultural operations, enabling them to apply it directly to melon cultivation. The results of the activity showed a significant increase in the participants' understanding of agribusiness management, basic bookkeeping practices, and the application of AIoT in melon cultivation. The participants exhibited high enthusiasm, actively engaging in discussions and successfully performing practical exercises. This training was effective in improving farmers' knowledge and motivating them to adopt AIoT technology in their farming operations. The program has been instrumental in encouraging the use of smart farming techniques, which can lead to more efficient and sustainable farming practices. It is recommended that ongoing support, including follow-up activities and further training, be provided to ensure the sustainability of the technology implementation and continue to improve local food security

This community service program was implemented to address the needs of farmers in Kalicaah Village, Tanjung Jaya Village, Panimbang District, for an affordable, simple, and user-friendly fertilizing tool. Traditionally, the application of solid fertilizer has been done manually, which not only leads to inefficiency but also significantly increases the physical workload of farmers. To overcome this issue, the program team designed a solid fertilizer spreader using appropriate technology, constructed from recycled materials such as PVC pipes and used water gallons. This innovation was aimed at creating a sustainable, low-cost solution for the local agricultural community. The program’s implementation involved several key activities, including identifying the farmers' challenges, conducting assembly training sessions, demonstrating the tool’s use, and running direct field trials in local farms. The results showed that the use of the newly developed fertilizer spreader led to a 45% reduction in the time spent applying fertilizer, which directly contributed to more efficient farming practices. Additionally, there was a significant reduction in physical complaints, particularly lower back pain, which had been a common issue due to the manual labor involved in fertilizing. The tool proved to be easy to construct, requiring minimal technical knowledge, and the farmers were able to adopt the technology independently. The high rate of adoption among farmers further emphasizes the tool’s potential for widespread use. The success of this program also suggests that this simple, affordable technology could be replicated in other agricultural regions, benefiting more communities by improving work efficiency, reducing physical strain, and fostering a sustainable approach to farming practices.

This research examines the impact of Indonesia's sugar import policy during the period 2020–2024 through the case study of Thomas Trikasih Lembong. Employing a qualitative methodology with an instrumental case study approach, the study seeks to capture the complexities of strategic commodity trade policies in Indonesia. The analysis reveals that the issuance of sugar import permits to PT Andalas Putra was conducted in violation of existing legal frameworks, particularly Presidential Regulation No. 48/2013, resulting in state financial losses estimated at Rp 400 billion. These irregularities highlight not only weak adherence to regulatory standards but also minimal coordination among relevant government agencies, reflecting the broader challenge of weak good governance implementation. The distributional consequences of this policy were also significant. While downstream industries benefited from increased sugar availability and lower input costs, domestic sugarcane farmers and the national sugar industry suffered substantial losses. The oversupply condition triggered by import policy mismanagement led to a decline in local sugar prices, producing welfare transfers that disproportionately disadvantaged rural farming communities. These findings underscore the structural vulnerability of agricultural stakeholders when state institutions fail to balance industrial and farming interests in policy formulation. Furthermore, the imposition of a 4.5-year prison sentence on the policymaker involved has sparked discourse on the criminalization of public policy, raising debates over the line between policy failure and corruption in governance. In light of these findings, the study provides several recommendations. These include strengthening inter-agency coordination mechanisms, developing early warning systems to monitor commodity market dynamics, reforming the regulatory framework governing import permits, and designing adaptive policy instruments capable of mitigating welfare risks while optimizing strategic commodity management. Overall, this study contributes to the discourse on governance, accountability, and policy reform in Indonesia’s strategic trade sector, particularly in relation to sugar as a vital commodity.

Feed is a key component in catfish (Pangasius hypophthalmus) cultivation because it directly affects the growth rate, health, and productivity of the fish. Among the various nutrients contained in feed, protein plays a crucial role, particularly in the formation and repair of fish body tissues. Adequate protein content supports optimal growth, while protein deficiency can reduce productivity. Therefore, analyzing protein levels in feed is essential to ensure its quality. This study aimed to analyze protein levels in catfish feed using the Kjeldahl method. The analysis was conducted at the Pekanbaru Center for Standardization and Industrial Services (BSPJI). The Kjeldahl method was chosen because it is known to have a high level of accuracy and reliability. The procedure involves three main stages: destruction, distillation, and titration. The working principle of this method is to convert organic nitrogen in the sample into ammonia, which is then captured and measured to determine nitrogen levels, which are then converted to protein levels. In this study, five feed samples with codes U-139 to U-142 were used. The test results showed that the protein content of the samples ranged from 20.44% to 23.09%. Furthermore, a Relative Percent Difference (RPD) value of 0.0013% was obtained, indicating a very high level of measurement precision. The analysis results were then compared with the fish feed quality standards based on SNI 2534:2006, and it was found that all samples met the minimum protein content requirements. Thus, this study confirms the effective and accurate use of the Kjeldahl method in analyzing protein content in catfish feed. These results also provide important information for farmers and feed producers in ensuring the quality of feed used to support catfish farming productivity.

This study aims to utilize data mining techniques, specifically the K-Nearest Neighbors (KNN) algorithm, to classify leaf diseases in sugarcane (Saccharum officinarum). Early and accurate detection of leaf disease types is a crucial step in prevention and control strategies, thereby reducing potential crop losses caused by pathogen attacks. Leaf diseases in sugarcane, such as leaf scald, rust, and mosaic virus, are known to affect photosynthesis, inhibit growth, and reduce the quality and quantity of sugarcane produced. The classification process in this study was carried out through image analysis of infected sugarcane leaves, where features such as color, texture, and shape were extracted using digital image processing techniques. The KNN algorithm was chosen because of its non-parametric nature, ease of implementation, and its ability to provide accurate classification results even with limited data size. The working principle of KNN is to determine the class of a new sample based on the majority class of its k nearest neighbors in the feature space, making it very suitable for the case of leaf disease image classification. In addition to building a classification model, this study also examines disease prevention strategies based on the identification results. These strategies include the use of disease-resistant sugarcane varieties, the implementation of appropriate planting patterns, land moisture management, regular plantation sanitation, and the measured and environmentally friendly use of pesticides or fungicides. Model performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics to assess model effectiveness across various data scenarios. The results of this study are expected to not only contribute to the development of decision support systems for farmers and related parties but also support the application of artificial intelligence-based technology in the agricultural sector.

This community service activity was conducted in Sawahan Hamlet, Mojotengah Village, Kedu District, Temanggung Regency, with the primary objective of enhancing the health and productivity of sheep through the introduction and production of mineral block molasses as supplementary feed. Mineral block molasses is a nutrient-rich feed supplement designed to meet the mineral requirements of ruminants, particularly sheep, which are often not fully met by conventional forage. The program was implemented using a participatory method, beginning with a lecture session that provided theoretical knowledge regarding the benefits, composition, and formulation of mineral block molasses. This was followed by an interactive discussion session in which participants, mainly local sheep farmers, were encouraged to share challenges and constraints they face in livestock feeding management. The facilitators then provided practical problem-solving approaches tailored to the local context. The final stage involved a hands-on demonstration of the step-by-step process of producing mineral block molasses, enabling participants to observe and practice directly. The results of this activity showed that participants not only gained new knowledge about the nutritional importance of mineral supplementation but also developed the practical skills necessary to independently produce mineral block molasses for their livestock. This is expected to improve feed efficiency, promote better animal health, and increase livestock productivity. Furthermore, the activity fostered community awareness of sustainable livestock management practices and the economic benefits of producing feed supplements locally. In conclusion, this program successfully empowered the local farming community with both theoretical and practical competencies in mineral block molasses production, contributing to improved livestock performance and farmer welfare. The continuation of such initiatives is recommended to ensure long-term adoption and optimization of livestock feeding practices in the region.

This community service activity was conducted in Sawahan Hamlet, Mojotengah Village, Kedu District, Temanggung Regency, with the primary objective of enhancing the health and productivity of sheep through the introduction and production of mineral block molasses as supplementary feed. Mineral block molasses is a nutrient-rich feed supplement designed to meet the mineral requirements of ruminants, particularly sheep, which are often not fully met by conventional forage. The program was implemented using a participatory method, beginning with a lecture session that provided theoretical knowledge regarding the benefits, composition, and formulation of mineral block molasses. This was followed by an interactive discussion session in which participants, mainly local sheep farmers, were encouraged to share challenges and constraints they face in livestock feeding management. The facilitators then provided practical problem-solving approaches tailored to the local context. The final stage involved a hands-on demonstration of the step-by-step process of producing mineral block molasses, enabling participants to observe and practice directly. The results of this activity showed that participants not only gained new knowledge about the nutritional importance of mineral supplementation but also developed the practical skills necessary to independently produce mineral block molasses for their livestock. This is expected to improve feed efficiency, promote better animal health, and increase livestock productivity. Furthermore, the activity fostered community awareness of sustainable livestock management practices and the economic benefits of producing feed supplements locally. In conclusion, this program successfully empowered the local farming community with both theoretical and practical competencies in mineral block molasses production, contributing to improved livestock performance and farmer welfare. The continuation of such initiatives is recommended to ensure long-term adoption and optimization of livestock feeding practices in the region.

This study aims to examine the use of cattle waste as organic fertilizer to minimize agricultural operational costs in Mrawan Village, Tapen District, Bondowoso Regency. Cattle waste, particularly manure, is an abundant local resource that has not been optimally utilized by the local community. The majority of farmers in the village still rely on chemical fertilizers, which are relatively expensive and have a negative impact on long-term soil health. Therefore, this program is designed to provide a sustainable alternative solution through an educational approach and community empowerment. The methods used in this activity include outreach, technical training, and direct assistance in the process of making organic fertilizer from cow manure. Education focuses on simple fermentation techniques, the composition of natural additives, and appropriate fertilizer application methods. Farmers are actively involved in every stage of the activity, so they become not only beneficiaries but also agents of change in environmentally friendly agricultural practices. The results of the activity indicate that the use of organic fertilizer from cattle waste can reduce the cost of purchasing chemical fertilizers by up to 40% in a single planting season. In addition, organic fertilizer has been shown to increase soil fertility, improve soil structure, and support healthier plant growth. Environmental impacts are also reduced, as livestock waste management is more controlled and does not pollute water or air sources. Therefore, utilizing cattle waste as organic fertilizer not only reduces environmental pollution but also provides an economic and ecological solution that benefits local farmers. This program is expected to become a model for empowerment that can be replicated in other areas with similar characteristics.

This study examines the crime of fertilizer counterfeiting in the Kalianda area, South Lampung, which is a form of economic crime with a significant impact on the agricultural sector. Fertilizer counterfeiting not only harms farmers financially, but also disrupts the distribution of subsidized fertilizers and lowers trust in the legal system. This crime is driven by various factors, including economic incentives, weak supervision, and inadequate regulations. In addition, the existence of illegal distribution networks and the lack of effectiveness of law enforcement also exacerbate the problem. This study uses a normative juridical approach to analyze the legal aspects that govern the crime of fertilizer counterfeiting, as well as an empirical approach through interviews with law enforcement officials in the South Lampung Regional Police area. The results of the study show that the rampant counterfeiting of fertilizers is caused by economic pressure, weak law enforcement, and low public legal awareness. This practice is often carried out in a covert manner and is difficult to prove technically in the field. In addition, the alleged involvement of certain individuals in the illegal distribution network adds to the complexity of handling cases. This study recommends reforming the fertilizer distribution system that is more transparent, increasing supervision by law enforcement officials and related agencies, and strengthening regulations with the application of stricter sanctions. Efforts to increase public legal awareness are also an important aspect in preventing similar crimes in the future. In addition, the need for synergy between law enforcement officials, local governments, and the community is the main key in tackling this economic crime. The development of fertilizer distribution tracking technology, as well as education to farmers about the characteristics of real and fake fertilizers, is expected to be able to strengthen the protection system at the grassroots level.

The agricultural sector has a vital role in meeting national food needs, improving community welfare, and strengthening regional food security. However, the sector still faces various challenges, including land limitations, climate change, price fluctuations, and low production cost efficiency. Therefore, innovation is needed through the application of digital technology that is able to increase the productivity and sustainability of farming businesses. One of the solutions offered is the use of Artificial Intelligence of Things (AIoT), which is the integration of artificial intelligence (AI) with the Internet of Things (IoT) that allows agricultural systems to run more intelligently, efficiently, and scalably. This community service activity was carried out with the Satria Tani Hanggawana Farmers Group located in Kalisapu Village, Slawi District, Tegal Regency, with the main focus on premium melon cultivation. The method of the activity included material presentations on the concept of smart farming, the introduction of IoT-based sensor devices for monitoring temperature, humidity, and plant nutrition, field practices in greenhouses, simulations of the use of AI-based applications for crop prediction, and interactive discussions. In addition, material was also provided on simple agribusiness management, financial recording, and crop marketing strategies so that farmers are able to manage their businesses more professionally. The results of the activity showed a significant increase in participants' knowledge related to the application of AIoT in modern agriculture. Farmers not only understand the benefits of technology, but are also able to practice using tools and applications directly. The enthusiasm of the participants was reflected in their active involvement in discussions, willingness to try new technologies, and awareness of the importance of innovation to face agricultural challenges in the digital era.