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The waste problem in Karanglewas Village, Kutasari District, Purbalingga Regency, continues to increase alongside agricultural, trade, and MSME activities, while the management system remains conventional, without sorting, resulting in environmental pollution and limited landfill capacity. This community service program aims to implement the Integrated Independent Waste Sorting and Processing Tool (PLASMA-T) as an innovative solution that processes organic waste into compost and melts plastic waste into paving blocks that are useful and economical. The activities are carried out in stages, including problem identification, socialization, technical training, operational trials, evaluation of results, and the handover of the equipment to the Mitra Sejahtera TPS, with ongoing assistance so that the community can operate the equipment independently. The expected outcomes include a reduction in waste volume at the TPS, increased community awareness and skills in waste management, and the creation of new business opportunities through compost and paving block products. Thus, this program not only addresses environmental issues but also strengthens the village's circular economy and has the potential to serve as a model for other regions.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

Brebes Regency is one of the main national centers of shallot production in Indonesia, where agricultural land dynamics play a crucial role in sustaining production performance. Rapid infrastructure development and land-use change have raised concerns regarding the sustainability of shallot cultivation areas. This study aims to analyze spatial–temporal changes in shallot cultivated area and production in Brebes Regency during 2023–2024 and to examine the relationship between land area changes and production levels at the sub-district scale. A descriptive quantitative approach based on spatial analysis was employed using Geographic Information Systems (GIS). Spatial data consisted of administrative boundary maps, while non-spatial data included shallot cultivated area and production data obtained from the Brebes Regency Office of Agriculture and Food Security. Data integration and analysis were conducted using QGIS through attribute joining and inter-annual comparison. The results indicate that total shallot cultivated area increased from 26,331 ha in 2023 to 28,628 ha in 2024, accompanied by a significant rise in production from 289,942.05 tons to 409,106.90 tons. Spatial analysis reveals that major production centers remain concentrated in the central and northern sub-districts, particularly Wanasari, Larangan, Bulakamba, and Tanjung. Although a positive relationship between land expansion and production increase is evident, variations among sub-districts suggest that productivity and local conditions also play important roles. The findings highlight the effectiveness of GIS-based analysis in supporting spatially informed agricultural land management and policy formulation.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.

This literature study examines hydroponic solutions (urban agriculture), particularly through hydroponic methods, as a response to the issue of significant urban agricultural land shrinkage and land conversion. Data shows a drastic reduction in rice fields in Sukawati District, Bali, from 497.24 Ha in 1985 to only 211.42 Ha in 2016, accompanied by a change in the profession of residents from farmers to entrepreneurs. This land conversion not only reduces agricultural areas but also has the potential to eliminate farmers' livelihoods. The method used is a literature review (narrative review) to collect and analyze studies related to the use of hydroponics in maximizing limited land in urban areas. The results of the discussion focus on hydroponic training provided to housewives from the Family Welfare Movement (PKK) and the City Youth Organization (Karang Taruna). This training aims to empower and utilize the free time of housewives, covering materials from the basic concepts of hydroponics, seed preparation, planting, maintenance, to harvesting. Hydroponic practices have been responded to positively by residents, and the PKK/Karang Taruna group is prepared to become mentors for other members. The benefits of hydroponics were emphasized as a highly efficient cultivation method, capable of saving up to 70-90% of water, enabling year-round food production, and providing faster and higher plant growth and yields. The outcome of this activity was the establishment of a communal hydroponic garden and each member's plan to grow hydroponically independently, demonstrating the success of hydroponics as a real solution to improving food security and sustainability in dense urban environments.

This study aims to analyze the compatibility between land use practices and watershed management regulations in Gorontalo Regency through ecological, normative, and axiological approaches. Rapid land cover changes from the upstream to downstream areas, particularly in the Biyonga, Alo-Pohu, and Limboto watersheds, have caused severe impacts such as increased erosion, sedimentation, and reduced hydrological function. The study employs a qualitative analysis using a literature-based method, reviewing key scientific articles from Jurnal Ilmu Lingkungan Universitas Gadjah Mada, Sustainability (MDPI), and Engineering, Technology & Applied Science Research, as well as regulatory documents such as Government Regulation No. 37 of 2012, Government Regulation No. 27 of 2023, Regional Regulation of Gorontalo Province No. 11 of 2014, and Governor Regulation No. 19 of 2019. The findings reveal that, ecologically, the conversion of agricultural lands into settlements has increased sediment yield and reduced soil infiltration capacity. Normatively, most land use activities remain inconsistent with soil and water conservation regulations. Axiologically, there is a gap between sustainability values embedded in policy and the community’s practical behavior in managing land resources. This study highlights the need for integrating scientific, legal, and ethical perspectives to strengthen sustainable watershed management in Gorontalo. Therefore, the findings are expected to serve as a policy recommendation framework for local governments in developing adaptive and ecologically grounded watershed management strategies.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

This study analyzes the forms of risk and risk management strategies in melon farming in Brebes as an impact of climate change. A descriptive qualitative approach was applied using a case study through in-depth interviews with a farmer who has more than ten years of experience, supported by secondary data from BPS, BAPPENAS, and related literature. The findings reveal four categories of major risks: market, financial, operational, and socio-environmental. High-level risks include climate variability, yield decline, and pest attacks. Medium-level risks involve production costs, water management, and price fluctuations, while low-level risks consist of limited weather information and agricultural extension services. Current strategies are still basic, including fertilization, pesticide application, and water channel arrangement. Strengthening adaptation is needed through irrigation technology, climate-resilient varieties, marketing diversification, and improved access to information and institutional support.

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.

The development of modern biotechnology has brought fundamental changes to the life sciences through the application of molecular biology, genetic engineering, and bioinformatics techniques. This article aims to examine the transformation of life sciences through modern biotechnology approaches and its impact on health, agriculture, the environment, and industry. The method used is a descriptive-analytical literature review based on international journal sources and relevant scientific publications. The results of the study indicate that technologies such as CRISPR-Cas9 enable precise gene editing for genetic disease therapy, while the mRNA vaccine platforms developed by Pfizer and Moderna demonstrate the acceleration of biomedical innovation in response to the global pandemic. In the agricultural sector, genetic engineering increases crop productivity and resilience, while in the environmental sector, biotechnology supports environmentally friendly bioremediation processes. However, ethical and regulatory challenges remain important concerns in its implementation. In conclusion, modern biotechnology plays a key role as a catalyst for sustainable, innovation-driven transformation in the life sciences.

East Nusa Tenggara (ENT) possesses substantial natural resource potential across the agricultural, fisheries, renewable energy, and tourism sectors. However, their utilization remains largely unsustainable and continues to face challenges such as excessive resource exploitation, environmental degradation, limited infrastructure, and low human resource quality. This study aims to analyze the prospects and challenges of sustainable economic development in ENT by highlighting natural resource management and opportunities for developing new economic sectors based on innovation and local wisdom. The findings indicate that ENT has strategic opportunities in renewable energy development, sustainable tourism, and agricultural diversification, although these are constrained by weak governance, socio-economic inequality, and vulnerability to climate change. Therefore, the economic transformation of ENT requires strengthened regulations, multi-stakeholder collaboration, and sustainability-oriented investment. The findings underscore the necessity of fostering a sustainable economic transformation in ENT that aligns with global environmental goals while respecting local traditions and resources. This research provides valuable insights for policymakers, businesses, and community stakeholders aiming to promote sustainable growth in the region.

Farmer empowerment through the development of local agricultural commodities is an important strategy to increase farmers’ income and strengthen the independence of farmer groups. This community service activity aimed to enhance the capacity of the Padimas Farmer Group in Sana Tengah Village, Pasean Sub-district, Pamekasan Regency, through the development of local Madura melon as a regional flagship commodity. The program was implemented using a participatory–collaborative approach that actively involved farmers in all stages of the activity, including the identification of local needs and potentials, provision of demonstration plot land, cultivation assistance, and continuous monitoring and evaluation. The melon demonstration plot served as a practical learning medium for farmers in applying cultivation techniques adapted to local agroclimatic conditions. The results showed that the development of the local melon demonstration plot significantly improved farmers’ knowledge and skills in melon cultivation, with a plant survival rate reaching 99%. In addition, this activity supported the establishment of a group-based flagship commodity with promising economic value and market opportunities. Overall, the farmer empowerment program contributed positively to strengthening farmers’ economic independence and has the potential to serve as a model for sustainable horticultural agribusiness development in the Pamekasan region.

Empowering agricultural human resources is a strategic approach to support sustainable agricultural development and the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger), SDG 4 (Quality Education), and SDG 8 (Decent Work and Economic Growth). This community service article aims to describe the implementation of an agricultural instructor empowerment training program conducted through collaboration between Universitas Negeri Surabaya (Unesa) and the Ngudi Luhur Self-Reliant Agricultural and Rural Training Center (P4S) in Blitar Regency. The activity involved approximately 50 participants consisting of agricultural instructors and local agricultural practitioners. The methods included Focus Group Discussions (FGDs) and field visits to superior corn cultivation areas managed by P4S. The results indicate an increase in participants’ understanding of the importance of agricultural innovation and technology utilization to enhance productivity, supported by experiential learning through direct observation of high-yield corn fields compared to conventional practices. This program strengthens the role of agricultural instructors as innovation dissemination agents and contributes to the achievement of sustainable development goals in the agricultural sector.

The cigarette industry in Dawe District, Kudus, has been the backbone of the local economy for decades. However, this heavy dependence on a single industrial sector creates economic vulnerability, especially when production fluctuations or policy changes affect the tobacco industry. An economic empowerment program through agricultural entrepreneurship skills is highly relevant in this context. Modern agriculture using wick hydroponic technology and mini Nutrient Film Technique (NFT) offers an appropriate solution because it has characteristics that are suited to the geographic and socioeconomic conditions of the Dawe community. This PKM program has proven that economic empowerment through technology and skills transfer can be an effective strategy for increasing community income. Based on the results achieved, it is recommended to replicate similar programs in other areas with similar characteristics. Furthermore, ongoing monitoring and evaluation are necessary to ensure the sustainability of the businesses pioneered by participants. Collaboration with relevant agencies and microfinance institutions can strengthen participants' access to capital for broader business development.

Historically, water resource management in Indonesia has faced significant complexities, often dominated by commercialization and investment-oriented policies that threaten the fundamental rights of farmers. The Constitutional Court’s decision to annul the previous Water Resources Law marks a crucial turning point, demanding a comprehensive policy reformulation. This entails a shift from a market-based paradigm to one grounded in human rights and social welfare, reaffirming state sovereignty over water for the prosperity of the people. The urgency of this reformulation is compounded by the imminent threat of climate change, which introduces high uncertainty into the hydrological cycle—manifesting as extreme droughts and floods—thereby directly impacting the agricultural sector. This research aims to formulate a climate-adaptive water resource management policy that secures the priority rights of farmers. Employing a Normative Legal Research Method with Statutory and Conceptual Approaches, the findings present a new, holistic legal and institu-tional framework. This framework centers on two pillars: first, the firm assertion and absolute legal protection of irrigation water allocation for farmers, even during periods of scarcity; and second, the adoption of a Climate-Adaptive Governance Model. This governance model integrates a unified climate monitoring system, resilient water infrastructure, and the empowerment of Water User Associations (P3A) at the grassroots level to independently respond to shifting climate patterns. This reformulation is essential for achieving water management that is just, sustainable, and effective in maintaining national food security

The informal institution of mutual cooperation (gotong royong) in the rice farming community in Bhera Village, Mego District, Sikka Regency, remains the main foundation of social solidarity and the sustainability of agricultural activities even though modernization and the use of labor have begun to shift traditional values. A qualitative approach with a case study method was used to explore the role, form, and meaning of mutual cooperation in agricultural practices. Data were collected through in-depth interviews, participant observation, and documentation studies of rice farmers who are active in mutual cooperation activities. Data analysis was carried out through reduction, presentation, and drawing conclusions using triangulation techniques to ensure the validity of the findings. The results show that mutual cooperation is manifested in every stage of farming, from uprooting seedlings, planting (planting), clearing weeds, to harvesting, which is carried out voluntarily and in turns through the Irutan Tradition system. This institution functions as a collective work mechanism that reduces production costs, overcomes labor shortages, and strengthens social ties between farmers. Beyond its economic function, mutual cooperation has profound social and cultural significance as a symbol of brotherhood, togetherness, and collective responsibility in maintaining the sustainability of local wisdom and the resilience of farming communities amidst social and technological change.

Flower disease detection is a significant challenge in modern agriculture, particularly with factors such as changes in leaf color, petal shape and structure, and environmental conditions affecting the accuracy of conventional models. These factors make it difficult to achieve optimal results using traditional methods. Transfer learning is an effective solution to improve image detection performance, especially when data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The research process included data processing, increasing the data volume using augmentation techniques, model training, and evaluation of the results. Experimental results showed that the EfficientNet-B0 model produced the highest accuracy of 97.2%, significantly better than the CNN model built from scratch with an accuracy of 85.1%. This study demonstrates that transfer learning is highly effective in improving the accuracy of flower disease detection, making it a more reliable alternative to methods that do not utilize pre-trained models, especially for agricultural applications that require high levels of accuracy in disease detection.

Non-formal institutions, such as farmer groups, play a strategic role in increasing farmer capacity and strengthening agricultural production systems at the village level. This study aims to analyze the role, function, and institutional dynamics of the Bina Satu Farmer Group in supporting tomato farmers in Parabubu Village, Mego District. A descriptive qualitative approach was used, with data collection techniques including observation, in-depth interviews, and documentation. The results indicate that the Bina Satu Farmer Group serves as a learning platform, a collaborative unit, and a liaison between farmers and external institutions. This institution functions in disseminating information on tomato cultivation technology, strengthening access to production inputs, and enhancing farmers' bargaining power in marketing. However, several weaknesses were identified, such as low member participation in routine meetings and limited managerial skills among administrators. Overall, the existence of this farmer group has significantly contributed to increasing the knowledge, productivity, and independence of tomato farmers in Parabubu Village.

The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.  

This study aims to determine the optimal pectinase enzyme concentration and hydrolysis duration for the most preferred physical, chemical, and organoleptic characteristics of kweni mango syrup. The research was conducted from October 2024 to August 2025 at the Integrated Laboratory and Basic Science Laboratory of the Agricultural Institute (INTAN) Yogyakarta using a Completely Randomized Design (CRD) with a factorial pattern consisting of two factors and two replications. The first factor was the pectinase enzyme concentration (0%, 0.25%, 0.50%, and 0.75%), and the second factor was the hydrolysis duration (0, 30, and 60 minutes). Observation parameters included yield, vitamin C, viscosity, pH, total soluble solids, and organoleptic attributes. Data were analyzed using ANOVA at a 5% significance level followed by Duncan’s Multiple Range Test (DMRT). The results showed significant effects of both pectinase enzyme concentration and hydrolysis duration on yield, viscosity, total soluble solids, and organoleptic characteristics (color, taste, aroma, and overall acceptability), while no significant effects were observed on vitamin C content and pH. The best formulation was obtained using 0.50% pectinase enzyme concentration with a hydrolysis duration of 30 minutes.