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Penguatan Kapasitas Produksi dan Manajemen UMKM Pangan berbasis K3 dan Digital Marketing di Desa Suci Kecamatan Panti Anggraeni, Oktanita Jaya; Kurniawati, Dewi; Dhamayanthi, Wenny; Ismail, Andi Muhammad; Rizky, Dian
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.22618

Abstract

Background: Food-based Micro, Small, and Medium Enterprises (MSMEs) in Suci Village, Panti District, hold significant potential for strengthening the rural economy but face constraints in production efficiency, business management, and occupational health and safety (OHS) practices. This community engagement program aimed to enhance technical and managerial capacity through appropriate production technology, financial literacy training, OHS implementation, and digital marketing adoption. Method: The program was conducted over three months with two partner enterprises using a participatory approach and a pre–post evaluation design. Results: Results show a 35% reduction in production time (from 4 hours to 2.6 hours per cycle), a 40% increase in daily output (30 kg to 42 kg), a 60% improvement in financial literacy scores (45 to 72), and an increase in personal protective equipment compliance from 20% to 80%. The number of regular customers also increased from 18 to 26 following the digital promotion. Conclusion: The intervention effectively fostered structured, safer, and data-informed business practices and demonstrates scalability potential for sustainable rural MSME empowerment.
COFFEE FARMING EFFICIENCY USING A COBB–DOUGLAS MODEL RECOMMENDATION SYSTEM Oktanita Jaya Anggraeni; Dewi Kurniawati; Wenny Dhamayanthi; Rizal Perlambang CNAWP
SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis Vol 23, No 1 (2026): FEBRUARY
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/sepa.v23i1.107089

Abstract

Smallholder coffee farming has a significant contribution to the rural economy, but the efficiency of input use is still a major challenge. This study aims to analyze the influence of production factors on the results of smallholder coffee farming in Suci Village, Panti District, Jember Regency, and to design and implement an input optimization model based on the Cobb-Douglas production function in the form of a simple and practical recommendation system. The novelty of this study lies in the application of economic production functions into a recommendation system that is easy for farmers to operate. The research method used is a quantitative approach, with regression analysis of the Cobb-Douglas model and a spreadsheet-based system implementation test on ten coffee farmers. The results showed that labor, fertilizer, capital, and land had a significant influence on crop yields, with labor as the most dominant factor. However, only labor was used excessively, while other inputs were still underutilized. The implementation of the system resulted in an increase in productivity of 28.5% and economic efficiency of 35.5%, while helping farmers understand the difference between actual and optimal inputs. This study shows that the integration of production functions and practical recommendation systems can be an efficient and applicable solution for decision making in community coffee farming.
Effectiveness of the Cobb-Douglas Production Function-Based Input Optimization Model in the Form of a Recommendation System Oktanita Jaya Anggraeni; Dewi Kurniawati; Wenny Dhamayanthi; Rizal Perlambang CNAWP
International Journal of Studies in Social Sciences and Humanities Vol. 2 No. 3 (2026): March
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v2i3.6692

Abstract

This study designs and implements an input recommendation system for smallholder coffee agribusiness to close productivity and efficiency gaps. The objective is to assess how decision analysis guides farmers toward input combinations aligned with goals, budget constraints, and field risks. The methodology applies decision analysis: candidate input allocations are formulated; evaluation criteria (yield, total cost, risk exposure, ease of implementation) are specified; criterion weights are elicited through structured judgments; scores are normalized and aggregated; and sensitivity analysis tests robustness to weight and price changes. Results show that the recommendation-based alternative consistently outperforms conventional practice on most criteria, raising productivity while lowering cost per unit of output and reducing risk under volatile weather. Stability of rankings across sensitivity tests indicates durable performance across diverse farmer preferences. The findings highlight the need for targeted technical assistance and financing aligned with recommended inputs to support sustained adoption and scalable replication across regions.
Sustainable Fertilizer Management and Economic Performance of Peanut (Arachis hypogaea L.) Farms: Evidence from Guano and KCL Use in Jember, Indonesia Andarula Galushasti; Anggi Dwi Rahmawati; Ilham Muhklisin; Dewi Puspa Arisandi; Bagus Putu Yudhia Kurniawan; Oktanita Jaya Anggraeni; Dian Rizky
Futures in Agro-Food Economics and Logistics Analytics Journal Vol. 2 No. 2 (2026): June
Publisher : PT Litera Integra Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67580/fafela.v2i2.31

Abstract

Peanut (Arachis hypogaea L.) is a strategic source of plant-based protein and an industrial raw material in Indonesia; however, national and local production in Jember Regency has declined in recent years, while fertilizer costs continue to rise. This study aims to evaluate the agronomic and economic effects of combining guano and KCL fertilizers on peanut growth, yield components, biomass, and partial farm profitability under smallholder conditions in East Java. A field experiment was conducted from July to October 2025 in Krajan, Slawu, Patrang District, using a 4×2 factorial Randomized Block Design with three replications on peanut variety Katana 2. The treatments consisted of four guano rates (0, 5, 10, and 15 ton/ha) and two KCL rates (75 and 100 kg/ha), applied one week before sowing, followed by standard NPK fertilization and recommended crop management practices. Growth traits (plant height, leaf stalk number, branch number), yield components (sound and empty pods, pod and seed weight, 100‑seed weight), and biomass were subjected to two-way ANOVA and DMRT. Guano significantly increased branch number, whereas 100 kg/ha KCL improved sound pods and biomass; however, most yield variables did not differ statistically, making the low-input package without guano and 75 kg/ha KCL the option with the highest partial gross margin. The findings indicate that optimizing guano–KCL combinations can support cost-efficient and more sustainable fertilizer management in peanut agribusiness and agro-industrial supply chains in Indonesia.