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Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)
Published by Universitas Brawijaya
ISSN : -     EISSN : 26225921     DOI : https://doi.org/10.21776/ub.afssaae
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering
The Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering is aimed to diseminate the results and the progress in research, science and technology relevant to the area of food sciences, agricultural engineering and agroindustrial engineering. The development of green food production, agricultural and agroindustrial practices to reduce the ecological footprint to the environment is also the key focus of the journal.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 238 Documents
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Potential and technology options in utilizing agricultural waste in Cilacap Regency, Central Java Putra, Hijrah Purnama; Sulthon, Muhammad Zian; Prawitasari, Diah Ayu
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.5

Abstract

Approximately 80.18% of Cilacap Regency consists of agricultural land. The size of this land area directly correlates with the volume of agricultural production as well as the amount of waste generated. Compared to other industries, this type of waste can cause significant environmental pollution if not properly managed. Although some of this waste may already be utilized by local communities, its management practices remain largely undocumented. This study aims to identify and map the potential of agricultural waste in order to support its sustainable management and minimize environmental impacts. In Cilacap Regency, based on the results of this study, the Priority 1 areas for the development of agricultural waste processing centers include the districts of Gandrungmangu, Kawunganten, Cipari, Wanareja, Majenang, Kedungreja, and Jeruklegi. Based on projected agricultural waste potential from the two major food commodities rice and maize the largest waste output in 2026 is expected to come from rice straw (24,112 million tons/year), followed by maize stalks and leaves 860,812 thousand tons/year). A variety of management and utilization options are available across three levels of technology.
Integrated high voltage electrical discharge (HVED)-natural deep eutectic solvent (NaDES) pretreatment for corncob: lignin extraction, characterization, and Cu(II) reduction in recycled NaDES Putranto, Angky Wahyu; Kautsar, Nadira; Halizah, Fitri Noor; Argo, Bambang Dwi; Lastriyanto, Anang; Afifah, Nok; Izza, Ni'matul; Faizal, Azrul Nurfaiz bin Mohd
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.10

Abstract

The increasing production of corn in Indonesia has generated abundant underutilized corncob waste, a lignocellulosic biomass whose lignin content makes it a promising feedstock for biorefinery applications. This study evaluated the effectiveness of High Voltage Electrical Discharge (HVED) combined with Natural Deep Eutectic Solvent (NaDES) for lignin extraction, the performance of recycled NaDES, and the use of corncob biochar for Cu(II) ion removal during NaDES purification. A NaDES composed of choline chloride and lactic acid was recovered using an anti-solvent method, reused for HVED pretreatment, and purified using corncob biochar. HVED pretreatment at 15 kV for 6 min yielded 3.25% lignin, whereas conventional heating produced a higher lignin yield of 21.18% but required substantially higher energy input. The total energy consumption of HVED-NaDES pretreatment ranged from 4.18 to 5.98 kWh/kg, compared with 1198.93 kWh/kg for conventional heating. The recycled NaDES maintained its extraction performance for up to two recycling cycles. Corncob biochar effectively reduced Cu(II) concentration, demonstrating its potential as an environmentally friendly adsorbent for NaDES purification. Corncob biochar effectively reduced Cu(II) concentration, demonstrating its potential as an environmentally friendly adsorbent for NaDES purification. These findings highlight the potential of integrating HVED, NaDES recycling, and biochar purification as an energy-efficient and sustainable approach for lignocellulosic biorefineries.
An intelligent model for sustainability assessment and improvement of sugarcane agroindustry supply chain Mursidah, Sri; Marimin, Marimin; Fauzi, Anas Miftah
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.1

Abstract

The sugarcane agroindustry supply chain plays a crucial role in ensuring the sustainability of Indonesia’s sugar sector. However, suboptimal supply chain management has threatened its long-term viability. This study aimed to identify the structural configuration of the sugarcane supply chain, define sustainability dimensions and indicators, and develop an adaptive assessment model to evaluate and enhance sustainability performance. were analyzed through an intelligent framework integrating Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques. ANN was applied to model complex relationships among sustainability indicators, while ANFIS was used for sustainability index aggregation. The results show that at the supplier level, economic, social, and environmental sustainability indices are 31.39%, 57.95%, and 59.26%, respectively. At the industry level, the indices reach 48.14%, 71.08%, and 61.25%. The aggregated sustainability index using ANFIS achieved a Root Mean Square Error (RMSE) of 1.95 × 10⁴, with overall sustainability scores of 41.50% (supplier) and 55.90% (industry), categorized as moderately sustainable. The proposed model provided an adaptive and intelligent framework for improving decision-making and advancing sustainable development in the sugarcane agroindustry.
Biopellet quality analysis of corn stover and sengon wood sawdust Rahmadani, Karina; Wulandani, Dyah; Nelwan, Leopold Oscar
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.6

Abstract

Increasing energy demand encourages biomass utilization through the conversion of agricultural and forestry residues into biopellets. Corn stover has high moisture content and low calorific value, while sengon wood sawdust has a higher calorific value and therefore has the potential to improve biopellet characteristics as a blending material. This study aimed to analyze biopellet characteristics and determine the best treatment produced from corn stover and sengon wood sawdust. The best treatment was determined using a weighting method based on six parameters and statistical analysis using one-way ANOVA. The study began with preliminary testing to determine the appropriate mixture moisture content and die rotational speed to produce intact and uniform biopellets. The main experiment used five material compositions with an average mixture moisture content of 39.36% and stepwise die rotational speeds of 123–96–78 rpm. The results showed that material composition affected biopellet characteristics and resulted in highly significant differences in density, durability, and ash content (p < 0.001). The best treatment was obtained in A4, consisting of 70% corn stover and 30% sengon wood sawdust, producing a calorific value of 17.2 MJ/kg, density of 1.28 ± 0.04 g/cm³, combustion rate of 0.98 kg/h, specific electrical energy consumption of 1.84 kWh/kg, durability of 99.67 ± 0.04%, and ash content of 2.40 ± 0.49%, which met the requirements of SNI 8675:2018 for biopellet fuel.
Evaluation of the antioxidant and anti-inflammatory activities of Muntingia calabura L. kombucha for its development as a functional food Hasfiani, Yuliatin; Amrullah, Lalu
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.2

Abstract

Chronic inflammation may impair tissue healing and is associated with the development of various degenerative conditions, including diabetes mellitus, cardiovascular diseases, arthritis, obesity, and cancer. One of its major triggers is oxidative stress. Muntingia calabura leaves, rich in phenolic and flavonoid compounds, hold potential as functional food ingredients but remain underutilized. This study explored Muntingia calabura leaves as a novel substrate for kombucha and evaluated the antioxidant and anti-inflammatory potential of Muntingia calabura kombucha (MCK). The physicochemical properties and antioxidant activity (DPPH method) of MCK were compared with non-fermented Muntingia calabura beverage (MCB). Anti-inflammatory activity was assessed in vivo using carrageenan-induced inflammation in male mice. Data were processed using one-way ANOVA, followed by a post hoc comparison at a significance level of α = 0.05, performed in Minitab 17. MCK exhibited significantly higher total phenolic content (51.15 ± 0.34 mg GAE/mL) and antioxidant activity (IC₅₀ 20.53 ± 0.43 ppm) compared to MCB (p < 0.05). MCK also demonstrated greater anti-inflammatory activity, achieving 70.25% edema inhibition at the 4th hour, higher than MCB (64.78%). Fermentation enhanced the physicochemical properties, antioxidant capacity, and anti-inflammatory activity of Muntingia calabura leaves. MCK shows promise as a locally-sourced functional beverage to mitigate oxidative stress and inflammation-related conditions.
A farmer-level production constraint model for improving milkfish pond productivity in Sidoarjo, Indonesia Jumali, Muhamad Abdul; Lestari, Endah Rahayu; Mustaniroh, Siti Asmaul; Al Riza, Dimas Firmanda
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.7

Abstract

Milkfish pond productivity in Sidoarjo shows a measurable gap relative to the operational productivity reference used in this study. This study developed a farmer-level production constraint model for improving milkfish pond productivity in Sidoarjo, Indonesia. Field data were collected from 30 active milkfish farmers in Buduran, Candi, and Sedati through structured interviews and field observation. Productivity was analyzed with feed conversion ratio, feed cost, operational cost, dissolved oxygen, salinity, ammonia, and labor involvement. The model was formulated using descriptive statistics, productivity-gap analysis, constraint classification, causal loop structure, and stock-flow representation. The results showed that average productivity reached 3.39 ton/ha/cycle, leaving a deficit of 1.11 ton/ha/cycle from the external operational reference of 4.50 ton/ha/cycle. The main constraint domains were feed efficiency, economic capacity, pond-water condition, and labor-management capacity. The model is intended as a diagnostic representation of the observed farmer-level system rather than as a statistically estimated prediction model. The framework identifies feed-use efficiency, financial feasibility, water-quality management, and labor-management routines as potential domains for further farm-level assessment. Further quantitative optimization using the simplex method is recommended to determine feasible input combinations under farmer-level constraints.
Integration of Kansei words and Fuzzy QFD in the development of spent coffee ground-based body scrub products Tuakia, Miftah Zaini; Santoso, Imam; Pranowo, Dodyk; Choirun, Annisa'u
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.3

Abstract

Spent coffee grounds (SCG) contain antioxidant compounds, are easy to apply, and are environmentally friendly, making them suitable as exfoliating agents in body scrub formulations. The development of body scrubs based on natural ingredients or agro-industrial by-products has gained increasing attention in response to sustainability and eco-friendly trends. Successful product development is strongly influenced by consumer involvement, as customer characteristics and emotional factors play a significant role in purchasing decisions. The Kansei words approach is employed to capture consumer preferences and emotional responses, enabling product design that goes beyond purely functional considerations. Fuzzy Quality Function Deployment (FQFD) is applied to translate these preferences into technical characteristics while reducing uncertainty in subjective evaluations. Data were collected through consumer preference and satisfaction questionnaires to support decision-making in product development. The results indicate that emotional attributes, particularly “eye-catching,” safety, and elegance, significantly influence consumer preferences, reflecting a shift from purely functional evaluation. FQFD analysis identified 9 customer requirements (CRs) and 7 technical responses (TRs), with the selection of active ingredients and chemical composition as top priorities. Packaging aesthetics also contribute to product attractiveness, however product development remains focused on functional attributes. The utilization of SCG further supports environmental sustainability by reducing waste and promoting innovative cosmetic development.
Engineering validation of a stirred bioreactor for anaerobic processing of oil palm empty fruit bunch hydrolysate Praptyana, Intadaroh Rahila; Khoirunnisa, Afiifah; Wibisono, Yusuf; Fatriasari, Widya; Nurika, Irnia
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 9, No 3 (2026)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2026.009.03.8

Abstract

Reliable bioreactor engineering is essential for achieving reproducible performance in anaerobic fermentation, particularly for processes aimed at biohydrogen production. This study aimed to experimentally validate the engineering performance of a laboratory-scale stirred bioreactor developed for anaerobic fermentation of oil palm empty fruit bunch (OPEFB) hydrolysate toward biohydrogen-oriented processing. The bioreactor had a total volume of 3 L and a working volume of 2 L, with a height-to-diameter ratio of 2:1, dual 45° pitched-blade turbine impellers, and a baffled configuration. Engineering validation included gas-tightness, mixing performance, flow-regime assessment, temperature-monitoring accuracy, agitation-motor thermal behaviour, and electrical energy demand. The reactor maintained an internal pressure of 20 psi without detectable leakage. Tracer-based analysis showed a mixing time of 60 s based on the predefined homogeneity criterion of H₀ ≤ 0.05, while Reynolds number analysis indicated operation in the transitional flow regime (Re = 2.5 × 10³). Temperature monitoring showed an accuracy of 97.60–98.92% across the tested temperature range. Intermittent agitation reduced electrical energy consumption by 9.97% compared with continuous agitation. Fermentation verification was subsequently conducted through 72 h batch processing of OPEFB hydrolysate, resulting in 65.96 L of cumulative gas production and 76.9% glucose utilisation. HPLC and GC–MS analyses indicated substantial substrate conversion and the formation of fermentation-derived metabolites, predominantly lactate- and succinate-related compounds, providing evidence of active anaerobic fermentation relevant to biohydrogen-oriented processing. Overall, the validated bioreactor demonstrated stable hydrodynamic and operational performance and provided a reliable laboratory platform for anaerobic fermentation of OPEFB hydrolysate toward biohydrogen production.

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