agriTECH
Not a member yet
1394 research outputs found
Sort by
Risk Mitigation of Fresh Milk Supply Chain Based on Vulnerability Analysis in Boyolali Regency, Indonesia
Full text linkFresh milk in Boyolali Regency is currently unable to meet the demand of the processing industry because the quantity is limited and the quality is below the standard. The large number of activities at each tier and the long supply chain flow for fresh milk have the potential to cause a decrease in quality and quantity, making it vulnerable to risk. Therefore, this research aimed to analyze risk management in supply chain and provide mitigation proposals. Data were collected by in-depth interviews with 51 respondents using purposive and snowball sampling techniques. The variables examined include supply chain flow of fresh milk, risks at each tier, causes and impacts of risks, as well as likelihood, severity, and capacity to manage risk. Data processing used ISO 31000:2018 and the Rapid Agricultural Supply Chain Risk Assessment (RapAgRisk) method to assess risk vulnerability. The results showed that in Boyolali Regency, fresh milk supply chain consists of four tiers, namely farmers, as well as milk couriers, collectors, and processors, comprising processing industry and street vendors. Mitigation proposals were given for nine risks in the categories of high, moderate, and low vulnerability. These risks include high animal feed prices, low forage availability, cows being attacked by foot and mouth disease (FMD), adulteration of fresh milk, the amount of fresh milk received by couriers and collectors fluctuating, rejection, sudden demand, and excess stock of fresh milk. Subsequently, risk mitigation proposals were provided to maintain quality and increase fresh milk production
Physicochemical and Sensory Quality of Noodle with Taro and Gembus Flour
Full text linkConsuming low glycemic index (GI) foods is crucial for managing glycemic control in people with diabetes mellitus (DM). Meanwhile, taro (Colocasia esculenta L. Schott) flour, recognized for low GI and resistant starch content, along with gembus flour, rich in fiber and protein, are potential substitutes in the formulation of dried noodle designed for DM diets. This study aimed to investigate five formulations namely F0 to F4 with varying percentages of taro and gembus flour using a completely randomized design. The parameters analyzed include energy content, proximate composition (carbohydrates, protein, fat, moisture, ash), dietary fiber, resistant starch, starch digestibility (using Kjeldahl, Soxhlet, and AACC 66-50 methods), as well as cooking quality. Statistical analysis used Kruskal-Wallis, Mann-Whitney, and one-way analysis of variance (ANOVA) with post-hoc tests to assess differences. Organoleptic quality was evaluated using hedonic and Just About Right (JAR) scales, while GI and glycemic load (GL) were determined by comparing glucose response curves. The results showed that higher gembus flour content reduced energy content, carbohydrates, starch digestibility, and GL, while increasing protein, fat, ash, dietary fiber, resistant starch, and cooking loss. The optimal formulation, F4 (20% taro flour, 20% gembus flour), was favored due to the balanced nutritional profile indicated by lower levels of carbohydrates and fat with higher levels of protein and fiber, as well as consumer preference. In conclusion, substituting taro and gembus flour in dried noodle significantly impacts nutritional composition, cooking quality, organoleptic attributes, and glycemic response, making both suitable alternatives for managing DM dietary needs
Kinetics of Quality Changes in Porang (Amorphophallus oncophyllus) Flour during Storage at Various Temperatures
Full text linkPorang (Amorphophallus oncophyllus) flour is a raw material for producing glucomannan with low moisture content and hygroscopic properties. Proper storage of porang flour is an important strategy needed in production to maintain the quality. Therefore, this study aimed to assess shelf life of porang flour under various temperature conditions using a reaction kinetics model and to characterize the quality of porang flour during storage. Porang flour was packaged in polyethylene plastic bags and stored at a relative humidity (RH) of ± 70% at different temperatures of 15 °C, 20 °C, 25 °C, and 30 °C. Storage duration was 90 days, and the measurements of viscosity, density, and color were taken at 5-day intervals. Meanwhile, measurements of glucomannan and ash content were conducted at 15-day intervals. Kinetics model was used to determine shelf life of porang flour based on viscosity parameters according to commercial standards set by the Chinese government. The statistical results showed that storage temperature significantly affected density and color but had no significant effect on glucomannan and ash content parameters. Kinetics analysis of viscosity and density changes in porang flour followed a first-order reaction, where higher temperatures resulted in larger rate constants. The validation test with Arrhenius equation derived equations for density and viscosity parameters, namely Y= -4128.1x+6.7104 and Y= -4148.4x+8.1565, respectively. Furthermore, the results showed that shelf life of porang flour with an initial viscosity of 19,000 mPa.s under conditions of ±70% RH and storage temperatures of 15 °C, 20 °C, 25 °C, and 30 °C was 28, 21, 18, and 13 days, respectively, for first-grade quality. For second-grade quality at temperatures of 15 °C, 20 °C, 25 °C, and 30 °C, shelf life was 161, 117, 102, and 76 days, respectively
Environmental Ergonomic Analysis in MSMEs of ‘Karak’ using Working Environment Approach, HIRARC, and Kansei Engineering
Full text linkThe working environment in Micro, Small, and Medium Enterprises (MSMEs) is considered less than ideal based on the Indonesian Minister of Health Regulation Number 70 of 2016 concerning Standards and Requirements for Industrial Working Environment, in relation to temperature, lighting, noise intensity, and humidity. Therefore, an analysis is necessary to improve MSMEs’ ability to create an ideal working environment. This study aimed to analyze and improve working environment ergonomics by focusing on the physical working environment, workers preferences and sensitivities, as well as work environment risks associated with various factors. The case study examined MSMEs in Klaten Regency, Central Java. The methods used included working environment observation, HIRARC (Hazard Identification, Risk Assessment, and Risk Control), Kansei engineering, and multiple linear regression (MLR). Specifically, HIRARC was used to assess risks, Kansei engineering to identify workers preferences and sensitivities, and MLR to determine correlations between variables. One of the risky working conditions was observed at the smoking and frying workstation, where the temperature reached 32.81˚C, exceeding the reference value of 31˚C. Lighting levels were recorded at 101.09 lux, below the recommended 200-500 lux. Noise levels measured 68.38 dB, within the acceptable limit of 85 dB, while humidity was 52.63% compared to the reference value of 51.36% ± 5.72%. HIRARC assessment classified the risk level at the smoking and frying workstation as medium to extreme. Furthermore, Kansei engineering identified key perception variables, namely dark vs. light, dirty vs. clean, unpleasant vs. pleasant, stuffy vs. cool, and hot vs. cold. The results showed working environment parameters significantly correlated with HIRARC and Kansei engineering variables, which consequently correlated with HIRARC
Boiler Ash of Oil Palm Shell as Adsorbent for Lead Adsorption
Full text linkPalm oil shells and fibers are widely used as fuel for factory boiler furnaces. However, boiler ash residue produced is often underutilized. This study aims to explore the use of boiler bottom ash (BBA) as an adsorbent for the adsorption of lead (Pb) and its subsequent application in palm oil mill effluent (POME) purification for water dilution in crude palm oil (CPO) processing. BBA was activated using 0.2, 0.4, 0.6, and 0.8 mol/L potassium hydroxide (KOH) solutions for 24 hours, and the carbonation was conducted at 400°C for 60 minutes. Factors, such as the concentration of KOH for BBA activation, pH levels, adsorption temperature, adsorption kinetics, and the application of the adsorbent in POME purification for water dilution in the CPO processing model, were evaluated. The results showed that the optimal KOH concentration was 0.4 mol/L, as determined by SEM, EDX, and lead adsorption analysis. The maximum adsorbent capacity of approximately 0.43 mg/g was obtained at 50°C and pH 4.6, with an adsorption rate constant of 5.97 per minute. The results also showed that the adsorption process followed the Langmuir model. In addition, the adsorption activation energy and the Arrhenius constant values were -28675.82 J/mol and 0.0001, respectively. The use of POME filtrate for water dilution had no effect on the free fatty acids, water content, impurities, or DOBI (Deterioration Bleachability of Index) in CPO. Lead value showed significant differences in all treatments without dilution. These results indicate that BBA activated with KOH can function as an adsorbent to reduce lead content. POME purified with BBA adsorbent has the potential to be used as diluent water in CPO processing to reduce raw water use and ultimately decrease POME production
Enhancing Robusta Sensory Profile using Indonesian Lactic Acid Bacteria and Yeast as Fermentation Starter
Full text linkIn Indonesia, the majority of coffee production consists of Robusta which is predominantly sold as green beans. However, traditional processing methods without fermentation often lead to inconsistent quality. Therefore, this study aims to enhance Robusta green coffee bean quality and consistency by conducting fermentation using the lactic acid bacteria Enterococcus faecium and the yeast Pichia fermentans as starter cultures. Fermentation was conducted for 5 days at 30 °C, then every 24 hours, coffee beans were sampled for pH analysis, total yeast, and lactic acid bacteria count. Before and after fermentation, coffee bean samples were analysed for reducing sugar content using the DNS method, as well as chlorogenic acid and amino acid content using HPLC. Sensory analysis was conducted after fermentation. The results showed that after five days of fermentation, a decrease in pH was observed in all treatments. The application of the starter culture consisting of Pichia fermentans accelerated the growth of the total yeast population, while the addition of Enterococcus faecium enhanced the total lactic acid bacteria population. Fermentation caused a reduction in the reducing sugar content of all treatments. However, a significant rise in chlorogenic acid content was found in the treatment using Pichia fermentans, the combined treatment of Pichia fermentans and Enterococcus faecium, as well as in the control. The highest amino acid content after fermentation was generally obtained using the Pichia fermentans single-starter treatment, with the highest alanine, arginine, aspartic acid, leucine, glutamic acid, isoleucine, phenylalanine, valine, threonine, and tyrosine content. The treatment also produced the highest final cupping score of 81.65, classifying the sample as Fine Robusta coffee. This suggests that Pichia fermentans has the most beneficial effect on coffee quality. The cupping scores of brewed coffee treatment above 80 also suggest that Enterococcus faecium has the potential to improve coffee qualit
Exploring the Morphological and Functional Changes in Phaseolus vulgaris L Subjected to Different Durations of Heat-Moisture Treatment
Full text linkPhaseolus vulgaris L, known as red bean, is a staple food in Indonesia. The temperature sensitivity of red bean limits the applications despite the high starch content. Therefore, this research aims to analyze the effects of heat-moisture treatment (HMT) on the properties of red bean starch, focusing on the functional and morphological characteristics. The effects of HMT (4, 5, and 6 hours at 110°C) were elevated on fresh and dried red bean starch using Completely Randomized Design. The results show that significant alterations were observed in starch properties due to HMT. Water absorption capacity (WAC) varied with HMT duration and fresh bean starch peaked at 4 hours (198.0 ± 0.1%) before declining at 6 hours (159.5 ± 0.7%). In contrast, dried bean starch showed a decrease from the native capacity of 223.5 ± 5.0% to 176.5 ± 5.0% after 6 hours of HMT. Oil absorption capacity (OAC) also changed markedly and fresh bean starch increased from 68.0 ± 2.8% to 85.5 ± 0.7%. Similarly, dried beans increased from 67.0 ± 1.4% to 83.5 ± 0.7% since the effectiveness of HMT enhanced starch interaction with water and oil molecules. In fresh and dry beans, swelling power decreased and increased with prolonged HMT, reaching a peak at 4 hours (8.57 ± 0.15 g/g). However, solubility index decreased in both types following an increase in HMT duration. The morphology of starch granules transitioned from round or elliptical shapes to more polyhedral and irregular forms, reflecting substantial structural changes. In conclusion, HMT effectively modified the functional properties of red bean starch to offer potential benefits for application in food industry
Isolation and Production of γ-Aminobutyric Acid (GABA) from Lactic Acid Bacteria from Seredele, a Balinese Fermented Soybean
Full text linkγ-Aminobutyric acid (GABA) is a major inhibitory neurotransmitter with beneficial effects on human health. Therefore, this study aimed to isolate lactic acid bacteria (LAB) from seredele, a Balinese fermented soybean, with GABA-producing potential. 16S rRNA sequencing was used to assess bacterial communities in seredele, with Providencia, Enterococcus, Vagococcus, and Bacillus identified as the predominant genera. The results showed that strains S11B and S211K produced the highest GABA levels and were identified as Limosilactobacillus fermentum and Enterococcus faecium, respectively. E. faecium S211K had maximum GABA production at 24 hours of cultivation, while L. fermentum S11B had maximal production at 48 hours. Both strains remained viable for up to 120 hours of cultivation. In conclusion, seredele serves as a source for isolating GABA-producing LAB, emphasizing the significance of local LAB with functional properties
Kinetics of Porang (Amorphophallus oncophyllus) Chips during Storage at Various Temperatures
Full text linkPorang chips are dried food products that easily absorb moisture from storage environment. This highlights the need for storing porang chips under appropriate environmental conditions to maintain quality by controlling temperatures and humidity of storage area. Therefore, this study aimed to assess quality characteristics of porang chips by analyzing the rate of change using the kinetics model and determining storage period at various temperatures. Porang chips were stored at a relative humidity (RH) of approximately 70% and temperatures of 15 ℃, 20 ℃, 25℃, and 30 ℃ for 90 days. The parameters measured were moisture content, hardness, density, color, glucomannan, and ash content. The rate of quality change in hardness and density of chips was analyzed using the kinetics model that was validated through the Arrhenius equation. After the validation test confirmed its accuracy, storage period was determined based on the hardness parameter. The measurement of porang chips parameters was analyzed using ANOVA with Duncan’s post hoc test to assess the effect of storage temperatures. The results showed that storage temperatures affected hardness and density parameters but did not affect the color, glucomannan, and ash content. The kinetics analysis of changes in hardness and density of porang chips followed a zero-order reaction, showing that higher storage temperatures produced larger rate constant values. Validation using the Arrhenius equation yielded the following equations for density Y = -5154.5 + 9.1773 and hardness Y = -2152.4 + 2.3371. The determination of shelf life for porang chips based on the hardness parameter resulted in values of 386, 345, 312, and 271 days at storage temperatures of 15 ℃, 20 ℃, 25 ℃, and 30 ℃, respectively