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Futures in Agro-Food Economics and Logistics Analytics Journal
Published by Litera Integra Nusantara
ISSN : -     EISSN : 31640379     DOI : https://doi.org/10.67580/fafela
Core Subject : Economy, Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering
FAFELA: Futures in Agro-Food Economics and Logistics Analytics Journal is an international, open-access, and double-blind peer-reviewed journal dedicated to being the premier platform for forward-looking research at the intersection of agricultural economics, food systems, and data-driven logistics. Our primary mission is to publish high-quality, original research that utilizes quantitative, analytical, and predictive modeling approaches to address contemporary and future challenges in global agro-food supply chains. FAFELA bridges the gap between theoretical economic frameworks and practical computational applications to foster innovation in food security and agribusiness optimization. Focus Areas The journal welcomes empirical and theoretical contributions across two primary pillars: Agro-Food Economics This pillar focuses on the application of modern economic theories and quantitative methods to the agricultural sector, including but not limited to: Market Forecasting & Price Dynamics: Predictive modeling of agricultural commodity markets, price volatility, and global food demand. Circular & Bio-Economy: Techno-economic analysis of sustainable food systems, waste valorization, and regenerative agribusiness models. Risk Management & Policy Modeling: Quantitative assessment of international trade policies, food security strategies, and the economic impact of climate change on agriculture. Digital Agriculture Economics: Socio-economic evaluations of the adoption of Smart Farming, IoT, and precision agriculture technologies. Agro-Food Logistics Analytics This pillar emphasizes the use of mathematical and computational optimization to solve logistics challenges within the food industry: Cold Chain Optimization: Data-driven strategies for the management and optimization of temperature-controlled supply chains for perishable goods. Predictive Supply Chain Algorithms: Applications of Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics in inventory management and distribution forecasting. Traceability & Digital Transparency: Analytical frameworks for implementing Blockchain and IoT to ensure food safety and supply chain integrity. Operations Research in Distribution: Advanced routing models, spatial-temporal analysis, and network design for optimizing agricultural transportation and logistics hubs. Out of Scope Statement To maintain a rigorous academic focus, FAFELA does not accept or review manuscripts in the following areas: Pure agronomy, soil science, or plant pathology (without economic/logistics analysis). General business administration or management studies that do not specifically target the agro-food sector.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 30 Documents
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Effect of Seed Biopriming with Trichoderma harzianum for Increasing Seed Quality of Vegetable Soybean (Edamame) Maria Azizah; Nur Aini Alfiah; Dewi Fatmawaty Sabiku; Anggita Rizky Fadilah; Estin Roso Pristiwaningsih
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.v2i2.26

Abstract

A major constraint in edamame (Glycine max [L.] Merr.) cultivation is the rapid deterioration of seed viability, which limits crop productivity. Seed priming has been widely applied to improve the physiological quality of seeds by activating early metabolic processes prior to germination. This study aimed to determine the most effective seed priming treatment using Trichoderma harzianum and rice husk ash as matriconditioning media to stimulate edamame seed germination and vigor. The research was conducted from July to September 2025 at the Seed Technology Laboratory, Jember State Polytechnic, using a completely randomized design (CRD) with seven treatments: control (M1), matriconditioning with rice husk ash plus water for 6 hours (M2), matriconditioning with rice husk ash plus Trichoderma sp. isolate for 6 hours (M3), matriconditioning with rice husk ash plus Trichoderma sp. isolate for 12 hours (M4), matriconditioning with rice husk ash plus Trichoderma sp. isolate for 18 hours (M5), and matriconditioning with rice husk ash plus Trichoderma sp. isolate for 24 hours (M6). Observed parameters included germination percentage (GP), maximum germination potential (MGP), vigor index (VI), seedling uniformity, seedling biomass, and shoot and root length. Data were analyzed using analysis of variance (ANOVA), followed by Duncan’s Multiple Range Test (DMRT) at a 5% significance level. The results suggested that T. harzianum seed treatments have not yet shown a significant effect on enhancing edamame seed viability, as indicated by the parameters of Germination Percentage, Maximum Germination Potential, and Vigor Index. These findings imply that further optimization of priming duration and inoculum concentration may be necessary to achieve more consistent improvements in germination performance and seed vigor.
The Effects of Amino Acids Application Techniques of on Tobacco (Nicotiana tabacum L.) Plant Growth Irma Wardati; Triono Bambang Irawan; Titien Fatimah; Elly Daru Ika Wilujeng
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.v2i2.29

Abstract

This study aims to determine the effect of amino acids application techniques on the growth of tobacco plants. These research was carried out at the TEFA (Teaching Factory) of the Nursery, Department of Agricultural Production, Politeknik Negeri Jember. The study used a Randomized Block Design (RBD) with 1 treatment factor, namely: 1) without amino acids (control); 2) amino acids 500 ml/polybag by pouring; 3) amino acids 500 ml/polybag by spraying. Observed parameters of tobacco plant growth were as follows: 1) plant height, 2) leaves number; 3) stem diameter; 4) plant wet weight, and 5) plant dry weight. Observational data were analyzed using the F 5% test, and the LSD 5% test. The result was the amino acids application technique significantly affected the parameters of plant height, number of leaves, and stem diameter of tobacco plants. No significant differences were found in the parameters of plant base weight and dry weight. The amino acid application technique by spraying gave better results on stem diameter, wet weight, and dry weight of plants, while the application by pouring gave better results on plant height and number of leaves of tobacco plant.
Effect of NPK Fertilizer Dosage and Planting System on Rice Growth in Benelan Lor Village, Kabat Subdistrict, Banyuwangi M. Lukman Hakim; Sheilla Anandyta Ramadhanty; I Gusta Dimas Satyalowa; Luqi Khoiriyah Latif; Anjakasi Mar’atul Ula; Desi Rejeki
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.v2i2.30

Abstract

The purpose of this study was to evaluate the effects of NPK fertilizer application and planting systems on the growth of rice (Oryza sativa L.). A factorial randomized block design (RBD) was employed with two factors: planting system (three levels) and NPK fertilizer dose (four levels). This resulted in 12 treatment combinations, each replicated three times, for a total of 36 experimental units. Data were analyzed using analysis of variance (ANOVA) appropriate for RBD, with Duncan's multiple range test (DMRT) applied to observational variables at α=0.05α=0.05 or α=0.01α=0.01. Analysis of variance revealed significant interactions between NPK fertilizer dose and planting system for plant height at 30 days after planting (DAP), plant height at 40 DAP, number of tillers at 40 DAP, wet plant weight, and wet root weight. The Jajar Legowo 2:1 planting system produced highly significant improvements in wet plant weight and wet root weight compared to other systems. Among NPK doses, the P3 treatment yielded the best overall effects on rice growth. The combination of Jajar Legowo 2:1 (S2) and P3 dose exhibited the superior performance across parameters.
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.
The Role of Amino Acids Dosage and Their Application Techniques in Increasing the Growth and Yield of Tobacco Plants Irma Wardati; Triono Bambang Irawan; Titien Fatimah; Elly Daru Ika Wilujeng
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.v2i2.33

Abstract

This study aims to determine the effect of amino acids dosage and application techniques on the growth and yield of tobacco plants. These research was carried out at the TEFA (Teaching Factory) of the Nursery, Department of Agricultural Production, Politeknik Negeri Jember. The study used a Randomized Block Design (RBD) with 2 treatment factor, namely: 1) amino acids doase and application techniques. Observed parameters of tobacco plant growth were as follows: 1) plant height, 2) leaves number; 3) stem diameter; 4) fresh weight, 5) dry weight, 6) harvested leaves number; and 6) harvest weight.. Observational data were analyzed using the F-test and the DMRT. The result were: 1) the dose of amino acid given had a very significant on the number of harvested leaves, and a significant on the harvest weight, with the best dose being 500 ml/plant; 2) the application technique has a significant on plant height and stem diameter at 60 days after planting, with the better application technique being foliar application; and 3) the interaction between the amino acid dosage and application technique had a very significant on plant height parameters, with the better treatment being an amino acid dosage of 500 ml/plant by foliar application.
Comparative Analysis of DNA Extraction Approaches to Verify Hybrid Purity and Genetic Relationships in Maize Moch Rosyadi Adnan; Elly Daru Ika Wilujeng; Mahindra Dewi Nur Aisyah; Trisnani Alif; Dewi Puspa Arisandi; Nur Aini Alfiah; Mochamat Bintoro; Leli Kurniasari; Hari Prasetyo; Rahmat Ali Syaban
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.v2i2.36

Abstract

Genetic purity in hybrid maize is essential to ensure the stable combination of parental genetic materials, which underpins heterosis and on-field hybrid performance. Conventional field-based tests for assessing hybrid purity are labor-intensive, time-consuming, and less efficient compared to molecular marker-based approaches. Alternatively, DNA-based markers such as simple sequence repeats (SSRs) provide a feasible alternative. DNA-based markers assay requires the DNA extraction method that produces sufficient amount and quality of DNA. Therefore, this study compared three extraction methods—SDS-based, CTAB-based, and a commercial DNA extraction kit—using leaf tissue from maize seedlings as the DNA source. The extracted DNA samples were assessed for yield, quality, and suitability for SSR-based polymerase chain reaction (PCR) assays. Results demonstrated that all three methods successfully produced DNA of adequate quality and quantity for SSR-PCR analysis. These findings confirm the applicability of multiple extraction techniques for molecular based hybrid purity testing. The study contributes practical guidance for optimizing DNA extraction in maize, supporting the broader adoption of molecular markers in hybrid breeding programs.
The Effect of Shallot Extract and Amino Acids as Natural Plant Growth Regulators on Shoot Growth in Vanilla Cuttings (Vanilla planifolia Andrews) Moch Dhimas Alif Fikri; Ferril Muhammad Nur; Titien Fatimah; Irma Wardati
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.v2i2.38

Abstract

Vanilla belongs to the Orchidaceae family and is a high-value plantation commodity. The significant domestic and global market potential for vanilla must be matched by optimizing production capacity through the provision of high-quality planting material. One approach to improving vanilla planting material involves the application of Plant Growth Regulators (PGRs). This research was conducted from June 1, 2025, to August 30, 2025, at the Field Laboratory and Soil Laboratory of the State Polytechnic of Jember, located at an elevation of 60 meters above sea level. The study employed a factorial Randomized Block Design (RBD) with two factors: the first factor comprised four levels, and the second factor comprised two levels. K0A0 = 0% shallot extract + no amino acid application, K0A1 = 0% shallot extract + amino acid application, K1A0 = 20% shallot extract + no amino acid application, K1A1 = 20% shallot extract + amino acid application, K2A0 = 50% shallot extract + no amino acid application, K2A1 = 50% shallot extract + amino acid application The application of shallot extract and amino acids as PGRs to promote shoot elongation in vanilla cuttings did not yield significant results at shallot extract concentrations of 20–30% per 100 ml of water. The best results regarding shoot elongation in vanilla cuttings were observed in the K2A1 treatment, which yielded the highest mean values ​​across all treatments: 1.09 cm at 30 days after planting (DAP), 5.31 cm at 60 DAP, and 12.36 cm at 90 DAP.
Growth and Yield Responses of Green Eggplant (Solanum melongena L.) under Different Mulch Types Fadil Rohman; Burhan Arifin; Tri Rini Kusparwanti; Hanif Fatur Rohman
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.v2i2.39

Abstract

Mulching is an important agronomic practice for modifying the soil microenvironment and supporting crop growth and productivity. However, the effectiveness of different mulch materials in green eggplant production may vary depending on their physical characteristics and effects on soil conditions. This study evaluated the effects of different mulch types on the growth, flowering, fruit characteristics, and yield of green eggplant (Solanum melongena L.). The experiment was conducted using a randomized complete block design with five mulch treatments and five replications. Mulch type significantly affected several vegetative growth parameters. Silver-black plastic mulch generally promoted greater vegetative growth, while rice straw mulch also produced comparable growth responses for several parameters. Mulch type did not significantly affect flowering time, fruit weight, or fruit length, but significantly affected fruit diameter. Overall, silver-black plastic mulch demonstrated the most consistent positive numerical response in vegetative growth and cumulative fruit production, although its advantage in final yield was not statistically significant. These findings indicate that mulch selection should consider both crop growth responses and production objectives, while further research is needed to clarify the effects of mulch systems on soil microclimate, water availability, and resource competition in green eggplant production.
Environmental Characterization of Vanilla Processing Facilities Using IoT Monitoring for Material Design Considerations Shabrina Choirunnisa; Wendy Triadji Nugroho; Mas’ud Hermansyah; Bagus Putu Yudhia Kurniawan; Andarula Galushasti; Khafidurrohman Agustianto
Futures in Agro-Food Economics and Logistics Analytics Journal Vol. 1 No. 2 (2025): June
Publisher : PT Litera Integra Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67580/fafela.v1i2.40

Abstract

This study aims to characterize the environmental conditions (temperature and relative humidity) in vanilla processing facilities using an Internet of Things (IoT)-based monitoring system. Monitoring was conducted in three main rooms: Boiling Room, Fermentation Room, and Drying Room. Temperature and humidity data were collected continuously and analyzed using descriptive and inferential statistics (One-Way ANOVA and Kruskal-Wallis) along with data visualization (boxplots). The results showed that the Boiling Room had the highest average temperature (43.75°C) with the largest fluctuation (CV = 46.42%). Meanwhile, the Fermentation Room recorded the highest average relative humidity (71.05%). Statistical tests indicated significant differences in temperature between rooms (p < 0.001). Based on these environmental characteristics, this study developed Material Design Considerations that recommend appropriate materials for each operational condition: high thermal stability and thermal fatigue resistance for the Boiling Room, and moisture resistance and corrosion resistance for the Fermentation Room. This approach bridges IoT data with engineering material selection to improve the reliability of vanilla processing facilities. The study provides practical contributions to integrating IoT technology with material design considerations in the vanilla agroindustry.
IoT-Based Environmental Characterization of Vanilla Processing Facilities Using a Rule-Based Approach Shabrina Choirunnisa; Bagus Putu Yudhia Kurniawan; Andarula Galushasti; Khafidurrohman Agustianto; Mas’ud Hermansyah
Futures in Agro-Food Economics and Logistics Analytics Journal Vol. 2 No. 1 (2025): December
Publisher : PT Litera Integra Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67580/fafela.v2i1.41

Abstract

Vanilla (Vanilla planifolia) is a high value plantation commodity whose quality after harvesting is highly dependent on the environment during processing. Temperature and relative humidity (RH) are particularly important as they influence moisture transfer, drying stability, microbial risk and processing duration. The study developed and evaluated an IoT-based environmental characterization system employing a rule-based control approach for a vanilla processing environment located in Rembangan, Jember, East Java, Indonesia. The research was designed as a field-oriented experimental study with distributed temperature and RH sensors connected to an IoT gateway and a local rule-based controller. For methodological validation, a synthetic pilot dataset was created, consisting of 336 observations over 14 consecutive days at hourly intervals from three monitoring zones. The environmental variables were characterized in space and time and then were controlled by predefined rules for the ventilation system. The results show that the mean temperature and mean RH of the baseline condition were 23.99 ± 1.86 °C and 82.63 ± 6.90%, respectively. After the rule-based control strategy was implemented, the mean temperature was maintained relatively stable at 23.96 ± 1.47 °C, and the mean RH decreased to 80.30 ± 4.79%.The percentage of observations within the pre-specified operating range of 22–28 °C and 70–85% RH increased from 57.7% during the baseline phase to 76.2% during the rule-based phase. The paired comparison of daily observations showed a significant reduction in RH (p < 0.001) while the difference in temperature was not statistically significant (p = 0.593). These results demonstrate that a lightweight rule-based IoT architecture can improve environmental stability without the need for computationally intensive artificial intelligence. The proposed framework provides a practical basis for the development of a field-validated environmental management system for vanilla post-harvest processing in highland agricultural environments

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