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Pengaruh Resiliensi Kewirausahaan, Pembelajaran Kewirausahaan Dan Inovasi Terhadap Kinerja Usahatani Sayur Di Bali
Full text linkEntrepreneurial resilience in farmers is their ability to adapt to risks, learn, and recover from failures to maintain or enhance farm performance. Entrepreneurial resilience among vegetable farmers impacts agricultural sustainability, ensuring they continue farming and meet vegetable demand. This study aims to analyze the level of entrepreneurial resilience among vegetable farmers in Desa Baturiti and examine the role of learning and innovation in mediating the influence of entrepreneurial resilience on farm performance. Data collection was conducted through a survey of vegetable farmers in Desa Baturiti, Bali Province, using a cluster sampling technique. A total of 60 farmers participated as respondents. The results indicate that the entrepreneurial resilience level of vegetable farmers in Desa Baturiti is high, with a score of 39.86. This high level of resilience enables farmers to continue their farming activities despite past failures and adapt to changes. Hypothesis testing reveals that the roles of entrepreneurial learning and innovation in mediating the influence of resilience on farm performance are not significant, resulting in the hypotheses not being confirmed. However, in terms of mediation effects, entrepreneurial learning has a medium mediation influence, while innovation has a low mediation influence on the relationship between entrepreneurial resilience and vegetable farm performance.Entrepreneurial resilience in farmers refers to their ability to adapt to risks, learn, and recover from failures in order to maintain or improve farm performance. Entrepreneurial resilience among vegetable farmers will impact the sustainability of agriculture, ensuring that farmers continue farming and can meet vegetable demand. This study aims to analyze the level of entrepreneurial resilience among vegetable farmers in Baturiti Village and to analyze the mediating effect of learning and innovation on the influence of entrepreneurial resilience on farm performance. Sampling was conducted using a multistage sampling technique. Data analysis methods used descriptive analysis and PLS-SEM to analyze the mediation variables. The results of the study show that the CD-RISC 10 score is 39.86, indicating that the level of entrepreneurial resilience among vegetable farmers is high. This high level of resilience demonstrates that vegetable farmers in Baturiti Village have the ability to adapt to risks, learn from experience, and recover to maintain their farm performance. However, the results of the first hypothesis test show that the role of entrepreneurial learning in mediating the influence of entrepreneurial resilience on farm performance is not significant. Thus, the first hypothesis is not confirmed, meaning that although farmers have entrepreneurial experience, its impact on farm performance remains weak. The results of the second hypothesis test also indicate that the role of innovation in mediating the influence of entrepreneurial resilience on farm performance is not significant. The weak adoption of innovation is due to the low level of farmers\u27 trust in new innovations, making innovation unable to optimally support the improvement of farm performance
Penentuan Komoditas Pangan Unggulan Di Kabupaten Nganjuk
Full text linkThis research aims to analyze the superior food commodities in Nganjuk Regency. The results of this study are expected to be able to become a reference in regional economic development through the priority development of superior food crop commodities in Nganjuk Regency. The data used in this study are secondary data including data on the value of food commodity production for 10 years starting from 2014-2023. The food commodities studied include rice, corn, soybeans, peanuts, cassava, shallots, and cayenne pepper. The data analysis methods used are Location Quotient and Shift Share Analysis, the results of the two analyses will be combined into criteria for determining superior food commodities. The results of this study indicate that corn, shallots, and cayenne pepper are the first and second superior commodities in several districts in Nganjuk Regency. Rice, soybeans, peanuts, and cassava became the second and third superior commodities in several sub-districts in Nganjuk Regency.One of the main drivers of the economy and one of the most important in Nganjuk Regency is the agricultural sector. Given that Nganjuk Regency is one of the food barns in East Java Province, the production of food commodities is important. This research aims to analyze the superior food commodities in Nganjuk Regency. The results of this study are expected to be able to become a reference in regional economic development through the priority development of superior food crop commodities in Nganjuk Regency. The data used in this study are secondary data including data on the value of food commodity production for 10 years starting from 2014-2023. The food commodities studied include rice, corn, soybeans, peanuts, cassava, shallots, and cayenne pepper. The data analysis methods used are Location Quotient and Shift Share Analysis, the results of the two analyses will be combined into criteria for determining superior food commodities. The results of this study indicate that corn, shallots, and cayenne pepper are the first and second superior commodities in several districts in Nganjuk Regency. Rice, soybeans, peanuts, and cassava became the second and third superior commodities in several sub-districts in Nganjuk Regency. Increasing inputs that affect food commodity production such as land, labor, capital, and technology can be done to maintain the position of food commodities as superior commodities and increase the production of non superior commodities. In addition, improving agricultural infrastructure also needs to be done so that superior food commodities can be distributed to other regions easily so as to increase farmer and regional income
Tata Kelola Rantai Nilai Sayuran Daun Hidroponik Di Wilayah Bogor
Full text linkValue chain governance within hydroponic systems plays a critical role in optimizing every stage, from product design to marketing. This study aims to analyze the governance structure established in the value chain of hydroponic leaf vegetables. Primary data were collected through structured interviews using questionnaires and field observations. The sampling method employed was snowball sampling, involving a total of 9 farmers, 2 collectors, and 1 retailer as respondents. Data analysis was conducted qualitatively using a descriptive approach, referring to the value chain analysis framework proposed by Kaplinsky. The findings reveal that the type of governance in the hydroponic leaf vegetable value chain in Bogor Regency is categorized as modular governance. This governance type reflects a high degree of independence among actors within the value chain, coupled with strong coordination and adherence to established standards. These results provide insights into the efficiency and adaptability of modular governance in supporting sustainable and technologically driven agricultural practices.Value chain governance within hydroponic systems plays a critical role in optimizing every stage, from product design to marketing. This study aims to analyze the governance structure established in the value chain of hydroponic leaf vegetables. Primary data were collected through structured interviews using questionnaires and field observations. The sampling method employed was snowball sampling, involving a total of 9 farmers, 2 collectors, and 1 retailer as respondents. Data analysis was conducted qualitatively using a descriptive approach, referring to the value chain analysis framework proposed by Kaplinsky. The findings reveal that the type of governance in the hydroponic leaf vegetable value chain in Bogor Regency is categorized as modular governance. This governance type reflects a high degree of independence among actors within the value chain, coupled with strong coordination and adherence to established standards. These results provide insights into the efficiency and adaptability of modular governance in supporting sustainable and technologically driven agricultural practices
Analisis Komparasi Produksi Bawang Merah Organik Dan Anorganik Di Desa Sukorejo Kecamatan Rejoso Kabupaten Nganjuk
No full textIndonesia places shallots as one of the main agricultural commodities with high selling value. Among the various shallot producing regions in Indonesia, Nganjuk district is known as one of the largest producing areas and production centers for shallot commodities in Indonesia. Organic and inorganic shallot production is the focus of attention of farmers and agricultural actors today. The research objectives are (1) to analyze the various factors that contribute to shallot production, both inorganic and organic cultivation (2) to analyze the average difference in shallot production before and after the implementation of organic farming. The research method used is to conduct a quantitative approach technique to 20 respondents who apply organic, semi-organic as well as inorganic farming and 10 respondents who apply inorganic farming only. Data collection methods were carried out by observation, interviews and literature studies. The results revealed that production factors contribute to shallot yield. Factors that affect shallot yield are seed variables and dummy variables, which means the value is smaller than 0.05. The results of the analysis show that the variables of land area, fertilizer, pesticides, and labor do not have a real influence in determining shallot yield. Research on the comparison of average shallot production shows a significant difference between before and after the implementation of organic farming. To minimize the risk, steps are needed to provide support in the form of providing counseling and long-term assistance related to land to shallot farmers. Another step is the need for economic incentives for farmers who are willing to switch to organic farming, due to the transition period that has the potential to reduce productivityBawang merah merupakan komoditas unggulan di Indonesia dan memiliki nilai ekonomis yang cukup tinggi. Kabupaten Nganjuk merupakan salah satu daerah penghasil bawang merah terbesar di Indonesia. Produksi bawang merah organik dan anorganik menjadi fokus perhatian para petani dan pelaku pertanian saat ini. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi hasil produksi bawang merah anorganik ataupun organik dan mengetahui perbandingan rata-rata produksi bawang merah sebelum dan sesudah diterapkannya pertanian organik. Metode penelitian yang digunakan yaitu dengan melakukan teknik pendekatan kuantitatif terhadap 20 responden yang menerapkan pertanian organik ataupun anorganik dan 10 responden yang menerapkan pertanian anorganik saja. Metode pengambilan sampel dilakukan dengan observasi, wawancara dan studi literatur. Berdasarkan hasil penelitian diketahui bahwa faktor-faktor produksi berpengaruh sebesar 87,4% terhadap produksi bawang merah dan 23,7% dipengaruhi oleh variabel lain diluar penelitian. Variabel yang berpengaruh terhadap produksi bawang merah yaitu variabel bibit dengan nilai signifikansi 0,010 dan variabel dummy dengan nilai signifikansi 0,000 yang artinya tidak lebih besar dari 0,05, sedangkan variabel luas lahan, pupuk, pestisida, dan tenaga tidak berpengaruh secara signifikan terhadap produksi bawang merah. Hasil penelitian terhadap perbandingan rata-rata produksi bawang merah terdapat perbedaan yang signifikan sebelum dan sesudah penerapan pertanian organik dengan nilai signifikansi 0,001 < 0,05 dan t hitung > t tabel yaitu 3,803 > 2,093
Pemanfaatan Artificial Intelligence Dalam Manajemen Rantai Pasok Produk Pertanian: Tinjauan Literatur Sistematik
No full textThe agricultural product supply chain frequently faces challenges, including fluctuations in demand, climate change, and the perishable nature of products, which can result in inefficiencies and losses. These issues require technology to optimize supply chain performance, one of which is through the use of Artificial Intelligence (AI). This study aims to identify the types of AI commonly used, their applications across various stages of the supply chain, their role in enhancing efficiency, and the challenges associated with their implementation. The method used is a Systematic Literature Review (SLR) based on 21 scientific articles from 2015 to 2025 sourced from the Scopus database. Articles were selected based on criteria including journals and proceedings, open access, and relevance to AI applications in agricultural product supply chains. The research results indicate that machine learning and deep learning are the most widely used types of AI, particularly for crop yield prediction, plant disease detection, product quality classification, and logistics management. AI has been applied across various stages of the supply chain, from cultivation, processing, to distribution. AI has proven to enhance efficiency, real-time monitoring, and decision-making. However, its implementation still faces challenges such as limited quality data, inadequate infrastructure, high implementation costs, and low human resource capacity. Therefore, the utilization of AI in the agricultural product supply chain requires collaboration between the government, academia, industry, and farmers. On the other hand, regulations and policies supporting AI adoption also need further review to ensure this technology can be widely and sustainably implemented.Penelitian ini menggunakan pendekatan literatur review dari penelitian sebelumnya yang relevan dengan topik pemanfaatan Artificial Intelligence dalam rantai pasok produk pertanian. Penelitian ini bertujuan untuk (1) mengidentifikasi jenis Artificial Intelligence yang diterapkan dalam rantai pasok produk pertanian, (2) mengidentifikasi pemanfaatan Artificial Intelligence pada setiap tahapan rantai pasok, (3) mengidentifikasi peran Artificial Intelligence dalam meningkatkan efisiensi rantai pasok produk pertanian dan (4) mengidentifikasi tantangan yang dihadapi di lapangan. Penelitian ini menggunakan literatur sejumlah 21 artikel dari tahun 2015-2025. Analisis data menggunakan Systematic Literature Review yang bersumber dari database Scopus. Machine learning dan deep learning merupakan jenis Artificial Intelligence yang paling banyak digunakan untuk prediksi hasil panen, deteksi penyakit tanaman, klasifikasi mutu produk, dan manajemen logistik. Artificial Intelligence telah diterapkan di berbagai tahap rantai pasok, mulai dari produksi, pengolahan hingga distribusi. Penerapan Artificial Intelligence masih menghadapi tantangan seperti keterbatasan data berkualitas dan infrastruktur digital, biaya implementasi yang tinggi dan rendahnya kapasitas sumber daya manusia di lapangan. Artificial Intelligence memiliki potensi besar dalam meningkatkan efisiensi rantai pasok produk pertanian. Namun, pemanfaatannya perlu dikembangkan melalui dukungan kolaboratif dari pemerintah, industri, akademisi, dan petani terutama mengenai regulasi, pelatihan, dan pengembangan infrastruktur teknologi
Posisi Pasar Ekspor Biji Kopi Indonesia Di Pasar Internasional: Pendekatan Almost Ideal Demand System (AIDS)
Full text linkIndonesia is one of the main exporters of coffee commodities. Indonesia\u27s coffee production is mostly exported abroad and the rest is to meet domestic needs. Indonesia\u27s coffee exports cover five continents, namely Asia, Africa, Australia, the Americas, and Europe, with the main market share in Europe. This study aims to (1) analyze the market share of Indonesian coffee bean exports in the international market, and (2) analyze the market position of Indonesian coffee bean exports in the international market using the Almost Ideal Demand System (AIDS) approach. This study uses secondary data in the form of monthly time series for 12 years from 2010 to 2021 with HS code 0901111 (coffee, not roasted, not decaffeinated). The results show Indonesia\u27s coffee bean export market share is third after Brazil and Colombia. Indonesia\u27s price elasticity (uncompensa/1ted) is inelastic and has a negative relationship. The cross-price elasticity (compensated) between Indonesia and Brazil, Colombia, Guatemala, Ethiopia, and Uganda is negative and indicates a complementary and inelastic relationship. The expenditure elasticity of Indonesian coffee exports is negative, indicating that Indonesian coffee is included in inferior goods and is inelastic.Indonesia is one of the primary exporters of coffee commodities. The majority of Indonesia’s coffee production is exported abroad, while the remainder serves domestic demand. Indonesian coffee exports span five continents: Asia, Africa, Australia, the Americas, and Europe, with the main market share in Europe. This research aims to achieve two objectives: (1) analyze Indonesia’s market share in international coffee bean exports, and (2) assess Indonesia’s position in the international coffee market using the Almost Ideal Demand System (AIDS) approach. The study utilizes secondary data in the form of monthly time series spanning 12 years from 2010 to 2021, focusing on HS code 0901111 (coffee, not roasted, not decaffeinated). The research findings reveal that the average market share of Indonesian coffee bean exports in the international market is approximately 6%, positioning Indonesia third after Brazil and Colombia. This share is greater than that of Guatemala, Ethiopia, Uganda, and other exporting nations. The price elasticity of demand for coffee in Indonesia (uncompensated) is negative, specifically -0.35, indicating inelasticity (since it is less than 1). Additionally, the cross-price elasticity between Indonesia and Brazil, Colombia, Guatemala, Ethiopia, and Uganda is also negative, with respective values of 0.16, 0.32, 0.20, 0.07, and 0.02. These values suggest a complementary relationship. Furthermore, the expenditure elasticity of Indonesian coffee exports is negative, implying that Indonesian coffee falls into the category of inferior goods, with a value of 1.143, which is greater than 1, signifying elasticity
Media Sosial Instagram Sebagai Sarana Promosi Untuk Meningkatkan Minat Beli Konsumen (Studi Kasus Pada Mini Organic Mart Surabaya)
Full text linkMini Organic Mart is a retail business that offers quality healthy and organic products. Mini Organic Mart has been promoting using social media, especially Instagram, since 2016, but the way to attract consumer attention through social media is still limited. Based on a preliminary survey, the average number of "likes" on popular uploads is only around 15. For business accounts, this figure is relatively low. The aim of this research is to analyze the influence of promotions via social media, especially Instagram, on consumer buying interest. The analytical method used in this research is Crosstabulation and SEM-PLS analysis, especially through the WarpPLS 7.0 program. Primary data was obtained through distributing questionnaires via Instagram stories, samples were taken from 100 respondents via followers @jualprodukorganik_mom. The results of the research state that the promotions carried out by Mini Organic Mart through its Instagram account have a positive and significant influence on consumer buying interest.Mini Organic Mart is a retail business that offers quality healthy and organic products. Mini Organic Mart has been promoting using social media, especially Instagram, since 2016, but the way to attract consumer attention through social media is still limited. Based on a preliminary survey, the average number of "likes" on popular uploads is only around 15. For business accounts, this figure is relatively low. The aim of this research is to analyze the characteristics of Mini Organic Mart consumers and analyze the influence of promotions via social media, especially Instagram, on consumer buying interest. The analytical method used in this research is Crosstabulation and SEM-PLS analysis, especially through the WarpPLS 7.0 program. Primary data was obtained through distributing questionnaires via Instagram stories, samples were taken from 100 respondents via followers @jualprodukorganik_mom. The results of the research state that the promotions carried out by Mini Organic Mart through its Instagram account have a positive and significant influence on consumer buying interest
Faktor-Faktor Yang Memengaruhi Pendapatan Usahatani Karet Di Kecamatan Lubai
Full text linkMuara Enim Regency is one of the largest rubber producing districts in South Province, but is currently experiencing a significant decline in the amount of rubber land due to land conversion issues. This land conversion is mainly caused by rubber farming income that does not provide adequate economic benefits to meet the needs of farmers. The research objectives were to 1) Analyze rubber farm income 2) Analyze the factors that influence rubber farming income. This study used 112 rubber farmer respondents, with a population of 543 rubber farmers Lubai District. The location was chosen purposely based on the same considerations, namely the sub-district and village that produced the largest decline in the number of rubber land areas and produced the largest rubber production. Data collected in cross section. Analysis of rubber farm income using R/C ratio analysis. Analysis of factors affecting rubber farming income using Weighted Least Square. The results showed that income in the productive plant age group (10.1-15 years) was the greatest compared to other plant age groups. The overall R/C ratio on cash costs and on total costs in all plant groups showed good results with an R/C ratio > 1. Factors that positively affect rubber farm income in Lubai Subdistrict are average production, rubber prices, and land area while factors that negatively affect farm income are labor.Muara Enim Regency is one of the largest rubber producing districts in South Province, but is currently experiencing a significant decline in the amount of rubber land due to land conversion issues. This land conversion is mainly caused by rubber farming income that does not provide adequate economic benefits to meet the needs of farmers. The research objectives were to 1) Analyze rubber farm income 2) Analyze the factors that influence rubber farming income. This study used 112 rubber farmer respondents, with a population of 543 rubber farmers Lubai District. The location was chosen purposely based on the same considerations, namely the sub-district and village that produced the largest decline in the number of rubber land areas and produced the largest rubber production. Data collected in cross section. Analysis of rubber farm income using R/C ratio analysis. Analysis of factors affecting rubber farming income using Weighted Least Square. The results showed that income in the productive plant age group (10.1-15 years) was the greatest compared to other plant age groups. The overall R/C ratio on cash costs and on total costs in all plant groups showed good results with an R/C ratio > 1. Factors that positively affect rubber farm income in Lubai Subdistrict are average production, rubber prices, and land area while factors that negatively affect farm income are labor. Farmers are advised to undergo training and adopt modern technology while the government should provide subsidy support, price stabilization, and program commitment to increase productivity and income
Karakteristik Brand Ambassador Yang Dapat Memengaruhi Minat Beli Konsumen Pada Produk Susu UHT
No full textKondisi persaingan yang semakin ketat pada industri minuman susu UHT membuat para pelaku bisnis di industri tersebut berlomba-lomba untuk menerapkan berbagai strategi pemasaran yang dinilai tepat dan efektif. Salah satu strategi pemasaran yang dapat dilakukan oleh perusahaan untuk memperluas pasar serta meningkatkan minat beli konsumen terhadap produk susu UHT adalah dengan memanfaatkan peran selebriti sebagai brand ambassador. Oleh karena itu, penelitian ini bertujuan menganalisis pengaruh dari setiap karakteristik brand ambassador terhadap minat beli konsumen pada produk susu UHT. Responden pada penelitian ini berjumlah 185 orang yang berdomisili di Jabodetabek. Metode analisis yang digunakan, yaitu analisis deskriptif dan analisis SEM-PLS. Hasil penelitian menunjukkan bahwa karakteristik brand ambassador yang memiliki pengaruh positif dan signifikan terhadap minat beli konsumen pada produk susu UHT adalah visibility, attraction, dan power. Penelitian ini merekomendasikan agar perusahaan-perusahaan yang bergerak pada industri minuman susu UHT dapat merancang kriteria rekrutmen selebriti brand ambassador dengan mempertimbangkan ketiga karakteristik tersebut.The increasingly intense competition in the UHT milk beverage industry has prompted businesses to continuously innovate and implement effective marketing strategies to retain and expand their market share. One strategy that is frequently employed to attract consumer attention and build a positive brand perception is the use of celebrities as brand ambassadors. Celebrities are considered to have a unique appeal that can influence consumer purchasing decisions through their image, reputation, and emotional connection with the audience. This study aims to analyze the influence of brand ambassador characteristics on consumer purchase intention toward UHT milk products. The research involved 185 respondents residing in the Jabodetabek. The analysis methods used include descriptive statistics to present respondent profiles and perceptions, and Structural Equation Modeling using Partial Least Squares (SEM-PLS) to examine the relationships between variables. The characteristics of brand ambassadors analyzed in this study include visibility, attraction, credibility, and power. The results show that three characteristics (visibility, attraction, and power) have a positive and significant influence on consumer purchase intention for UHT milk products. These findings highlight the importance of carefully selecting celebrity brand ambassadors who are not only widely recognized but also possess strong appeal and influential power. Therefore, this study recommends that companies in the UHT milk beverage industry develop recruitment criteria for brand ambassadors that prioritize these three characteristics in order to enhance the effectiveness of their marketing strategies
Performa Keberlanjutan Usahatani Cabai Rawit berbasis Pemberdayaan Pesantren (Studi Kasus dengan Pendekatan SAFA FAO)
No full textABSTRACT
Cayenne pepper, a national strategic horticultural commodity, has yet to reach its production potential, partly due to global climate change affecting agricultural yields. This study evaluates the sustainability of small-scale cayenne pepper farming at four Islamic boarding schools in Bogor Regency, part of the \u27Juara Ekspor\u27 partnership program involving cross-sector collaboration. Using FAO\u27s SAFA framework, the research assesses four sustainability dimensions: governance, environment, economy, and social. The study was conducted at Islamic Boarding School (pesantren) namely Darul Fallah, Al-Wafa, Modern Sahid, and Nurul Iman, involving 12 purposively selected respondents comprising farmers and production assistants. The SAFA Tool 2.4.1 processed questionnaire data to evaluate sustainability. Results indicate good sustainability practices overall, particularly in economic resilience and social welfare. Strong performance was also noted in governance (ethics, participation, law enforcement), environment (water, biodiversity, energy), economy (investment, vulnerability, product quality), and social themes (livelihoods and labor rights).
Keywords : cayenne pepper, climate change, islamic boarding schools (pesantren), SAFA framework, small-scale farming, sustainability assessment
ABSTRAK
Cabai rawit, salah satu komoditas hortikultura strategis nasional, belum mencapai potensi produksinya, antara lain karena perubahan iklim global yang mempengaruhi hasil pertanian. Penelitian ini mengevaluasi keberlanjutan pertanian cabai rawit skala kecil di empat pondok pesantren di Kabupaten Bogor, yang merupakan bagian dari program kemitraan \u27Juara Ekspor\u27 yang melibatkan kolaborasi lintas sektor. Dengan menggunakan kerangka kerja SAFA FAO, penelitian ini menilai empat dimensi keberlanjutan: tata kelola, lingkungan, ekonomi, dan sosial. Penelitian ini dilakukan di Pesantren Darul Fallah, Al-Wafa, Modern Sahid, dan Nurul Iman, dengan melibatkan 12 responden yang dipilih secara purposif yang terdiri dari petani dan asisten produksi. SAFA Tool 2.4.1 mengolah data kuesioner untuk mengevaluasi keberlanjutan. Hasilnya menunjukkan praktik keberlanjutan yang baik secara keseluruhan, terutama dalam hal ketahanan ekonomi dan kesejahteraan sosial. Kinerja yang baik juga terlihat dalam tata kelola (etika, partisipasi, penegakan hukum), lingkungan (air, keanekaragaman hayati, energi), ekonomi (investasi, kerentanan, kualitas produk), dan sosial (mata pencaharian dan hak-hak pekerja).
Kata Kunci: cabai rawit, kerangka kerja SAFA, penilaian keberlanjutan, perubahan iklim, pesantren, usahatani skala kecilSustainable agricultural development requires synergy among components that must balance ecological, economic, and social issues. The subject of sustainability will be inextricably tied to environmental problems in agricultural production. Cayenne pepper, a national strategic horticulture commodity, has not reached its full production potential due to a number of factors, one of which is global climate change, which is intimately linked to changes in agricultural productivity. The assessment of sustainability performance was analyzed in four Islamic Boarding Schools in the Bogor Regency area that are partners of the "Juara Eskpor" program, which was initiated by the Department of Sharia Economics and Finance (DEKS) Bank of Indonesia, and cross-party collaboration in response to the production and sustainability challenges in cayenne pepper farming. This study aimed to assess the sustainability status of the Islamic boarding school in four dimensions of sustainability and analyze the sustainability themes that influence its sustainability performance. The Islamic boarding school partners that became the object of analysis were Darul Fallah (Ciampea District), Al-Wafa (Tamansari District), Modern Sahid (Pamijahan District), and Nurul Iman (Parung District). There were 12 respondents involved in the research, consisting of farmers and production technical assistants. The determination of the respondent sample was taken purposively. The analysis of sustainability status was carried out by processing the research questionnaire sourced from the FAO’s SAFA guidelines and processed using SAFA Tool 2.4.1 software. Modern Sahid performs well, particularly in terms of governance. Modern Sahid and Nurul Iman are the best-performing pesantren in terms of environmental integrity due to their exceptional capacity to preserve atmospheric sustainability. Nurul Iman performs the best in the economic resilience dimension. Darul Fallah and Modern Sahid thrive in the social dimension by focusing on ensuring workers\u27 rights and good lives. Darul Fallah and Modern Sahid had the best overall sustainability performance