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Jufriadif Na`am
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Faculty of Agricultural Technology. Andalas University. Limau Manis Campus, Padang. Indonesia 25163
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AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 25810405     EISSN : 25810405     DOI : https://doi.org/10.29165
Core Subject : Science, Education, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Education Energy Environmental Science
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) publishes papers on innovative applications, development of new technologies, and efficient solutions in agriculture, engineering, computing, economic, social, information technology, food, energy, and scientific research to improve knowledge and practice in the field of purposive community change: Rural and community development, geography and regional planning, rural cooperatives, community health; capacity building, social work, community empowerment, sustainable development, human resource development; social capital, economic development, urban studies, student community service activities, and relevant subjects. The Asia Pacific Network for Sustainable Agriculture, Food, and Energy (SAFE-Network) is a peer-reviewed journal that publishes AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment). The objective of AJARCDE is to provide a forum for studying and applying research in community development and empowerment studies. This unique interdisciplinary journal covers a range of research methods, including: - Case studies - Comparative studies - Community-based participatory or action research - Examine community problem - Policy Analysis - Program evaluation - Survey research - Theory and model development
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 973 Documents
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Detecting Optical Fiber Wavelength Shifts Induced by Sugar Solution Concentration Using Lagrange Interpolation Ni'matut Tamimah; Aslam C. P. Siregar
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1034

Abstract

Optical fiber can be used as a sensor because changes in the surrounding medium affect light propagation. This study aims to detect changes in the wavelength of light in optical fiber caused by different sugar solution concentrations using Lagrange interpolation. This study uniquely integrates stripped-cladding optical fiber sensing with Lagrange interpolation to estimate unmeasured wavelength responses across varying sugar concentrations using a safe, environmentally friendly sugar solution. The method involved removing the cladding layer of the optical fiber and applying sugar solutions with concentrations from 44.444% to 54.545%. A 589-nm yellow LED was transmitted through the fiber and measured with a spectrometer. The results showed that increasing sugar concentration reduced the wavelength from 555.26 nm to 546.75 nm. Therefore, this method is effective for detecting changes in solution concentration. Contribution to Sustainable Development Goals (SDGs):SDG 4: Quality EducationSDG 8: Decent Work and Economic GrowthSDG 9: Industry, Innovation and InfrastructureSDG 12: Responsible Consumption and Production
Synthesis and Characterization of Ferric Silicate Composite using Precipitation Method Fatayoga; Taufik Rahmandika Adi Sutrisno; Ketut Sumada; Srie Muljani; Suprihatin
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1035

Abstract

This research examines the synthesis of ferric silicate composite using precipitation method. This research aims to synthesise and characterise the composite by examining the influence of initial silica concentration and precipitation pH. For the preparation of the composite, precursors such as ferric chloride (FeCl3) and sodium silicate (Na2SiO3) were used as iron and silica sources, respectively. Dissolved ferric chloride solution added dropwise into sodium silicate solution to bring the precipitation pH to a desired value. Then, the precipitate was filtered, washed, and calcined. Synthesized composites were analyzed using X-ray fluorescence (XRF) and surface area analysis (SAA) through Brunauer-Emmett-Teller (BET) method. The result shows that the highest characterisation is found for different sample parameters. Highest silica content up to 53.70%, surface area up to 116.3180 m²/gr, highest pore diameter up to 70.8653 nm, and highest pore volume up to 0.3993 cm³/gr. The correlation between initial silica concentration and precipitation pH and the textural properties of the composite was observed as increasing initial silica concentration, which affected the composite characteristics, including increasing final silica content, larger surface area, pore diameter, and pore volume. Meanwhile, increasing precipitation pH leads to increasing final silica content, smaller surface area and larger pore diameter. Synthesized ferric silicate composite shows that this material has porous characteristics that can be applied as catalysts, filters, membranes, ion exchangers, and adsorbents. Contribution to Sustainable Development Goals (SDGs):SDG 9: Industry, Innovation and InfrastructureSDG 12: Responsible Consumption and ProductionSDG 13: Climate Action
Factors Influencing Good Agricultural Practices (GAP) Implementation among Potato Farmers in Garut Regency, Indonesia Nabila An Nadjib; Anna Fatchiya; Dwi Sadono
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1039

Abstract

This study aimed to analyze the level of implementation of GAP innovations and the factors that influence it among potato farmers in Garut Regency, West Java, Indonesia. The study used a quantitative approach with an explanatory research design. A total of 125 potato farmers were selected through proportionate stratified random sampling from five potato production center districts in Garut Regency. Data were collected through surveys, observations, and in-depth interviews, then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The results showed that the overall level of GAP implementation was high, but the components of certified seed use, soil management, balanced fertilization, and integrated pest management were still low. PLS-SEM results confirmed that farmer characteristics, perceptions of innovation characteristics, extension approaches, and cooperative support had a positive and significant influence on GAP implementation, with perceptions of innovation characteristics being the most dominant factor. Based on these findings, it is necessary to strengthen farmers' capacity by increasing access to information, improving the quality of more participatory extension approaches, and optimizing the role of cooperatives to expand farmers' access to information, financing, and markets to support the implementation of GAP more effectively and sustainably.
Spatial Analysis of Traffic Volume and Degree of Saturation in Shopping Center Corridors in Tuban District Using Geographic Information Systems Bobby Ardianto; Fithri Estikhamah; Bagas Aryaseta
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1045

Abstract

The development of retail centres in Tuban District significantly affects urban road performance. This study aims to analyze traffic volume and the degree of saturation (DS) around four major supermarkets: Citimall, Bravo, Samudra, and Keraton. Primary data were collected through field surveys on Mondays, Fridays, and Sundays during peak hours. Analysis using PKJI 2023 guidelines shows that Citimall has the highest traffic volume and DS of 0.673 on Sunday evenings. Statistical testing with One-Way ANOVA indicates a significant difference in traffic impact between locations (p < 0.001). Five-year projections using linear regression suggest that DS values at critical points, such as Citimall, will exceed capacity (DS > 1.0) without intervention. GIS mapping provides a visual representation of saturation hotspots, aiding in strategic traffic management. Contribution to Sustainable Development Goals (SDGs):SDG 9: Industry, Innovation and InfrastructureSDG 11: Sustainable Cities and SettlementsSDG 13: Climate Action
Optimization of Ethanol Production via an Adsorption Process Using Molecular Sieve 3A with the Differential Experts Method Syahwaliza Chaniatul Chabibbah; Akhmad Syafiq Hasbi; Ni Ketut Sari; Ika Nawang Puspitawati; Ely Kurniati; Sintha Soraya Santi
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1049

Abstract

Ethanol has significant potential as a renewable energy source that can be utilized as an environmentally friendly alternative fuel. However, ethanol produced by conventional distillation still reaches a maximum purity of only 95–96% due to the formation of an ethanol–water azeotrope, requiring further purification to obtain fuel-grade ethanol. This study aimed to enhance ethanol purity via adsorption distillation with a 3A molecular sieve and to determine the optimal operating conditions using Response Surface Methodology (RSM). The research variables consisted of 3A molecular sieve weights of 20, 40, 60, 80, and 100 grams, as well as reflux ratios of 0.2, 0.4, 0.6, 0.8, and 1 mL/s. The adsorption distillation process was conducted at 78°C using an adsorption distillation apparatus. Experimental data were analysed using Design-Expert 13 software using a Central Composite Design (CCD) with 11 experimental runs. The results showed that increasing the molecular sieve weight and reflux ratio positively affected ethanol concentration. The optimum condition was achieved at a molecular sieve weight of 100 grams and a reflux ratio of 1 mL/s, resulting in an ethanol concentration of 99.9% with a desirability value of 1.000. These findings indicate that the 3A molecular sieve is effective in improving ethanol purity to meet the fuel-grade standard specified in SNI 7390:2012. Contribution to Sustainable Development Goals (SDGs):SDG 7 – Affordable and Clean EnergySDG 6: Clean Water and SanitationSDG 9: Industry, Innovation and InfrastructureSDG 13 – Climate Action
Numerical Analysis of Road Embankment Stability and Settlement Using Variations of Bamboo Chips and Fly Ash Mixtures Vio Aditya Pratama Wijaya; Dian Purnamawati Solin; Karina Meilawati Eka Putri
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1052

Abstract

Soft soil is one of the major challenges in road embankment construction due to its low bearing capacity, low shear strength, and high compressibility, which may lead to excessive settlement and slope instability. Therefore, an effective ground improvement method is required to enhance the mechanical performance of the subgrade soil. This study aims to analyze the stability and deformation behavior of road embankments constructed on soft soil stabilized with Fly Ash and reinforced with Bamboo Chips. The analysis was carried out using the Finite Element Method (FEM) based on the Mohr–Coulomb constitutive model. The numerical modeling compared untreated soil conditions with stabilized soil conditions using various percentages of Fly Ash and the addition of Bamboo Chips. Soil parameters were obtained from laboratory testing and incorporated into the numerical model. The analysis stages included embankment geometry modeling, load application, consolidation analysis, and safety factor analysis using the phi/c reduction method. The results indicate that the addition of Fly Ash and Bamboo Chips increased the embankment safety factor and reduced settlement compared to untreated soil conditions. Therefore, the combination of chemical stabilization using Fly Ash and reinforcement with Bamboo Chips has the potential to become an effective and sustainable alternative for soft soil improvement in road embankment construction in Indonesia. Contribution to Sustainable Development Goals (SDGs):SDG 9   : Industry, Innovation and InfrastructureSDG 11 : Sustainable Cities and CommunitiesSDG 12 : Responsible Consumption and ProductionSDG 13 : Climate ActionSDG 15 : Life on Land
DEM-Based Watershed Delineation and Hydrological Parameter Extraction for HEC-HMS Modeling in Karangnongko Dam, Bojonegoro Nabila Dinda Safitri; Novie Handajani
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1053

Abstract

This study applied DEM-based automatic watershed delineation using QGIS to derive hydrological parameters and develop a basin model for the Karangnongko Watershed, Bojonegoro. The delineation process successfully produced watershed boundaries, stream networks, and subbasin configurations consistent with the study area's topographic characteristics. Hydrological parameters such as watershed area, stream length, basin slope, and flow path characteristics were extracted from DEM analysis and used as input to develop the HEC-HMS basin model. The final model consists of 3 subbasins, 1 reach, and 1 junction, arranged according to the drainage hierarchy obtained from the delineation results. The results show that the accuracy of watershed delineation and hydrological parameter extraction is strongly influenced by DEM quality, preprocessing steps, and stream threshold selection. Proper DEM preprocessing, particularly sink filling and flow direction correction, improves drainage continuity and produces more reliable watershed representation. In general, integrating GIS-based delineation with HEC-HMS provides an efficient approach to hydrological modeling. This method improves spatial consistency, reduces manual interpretation during basin development, and supports more reliable preparation of hydrological parameters for watershed analysis. Contribution to Sustainable Development Goals (SDGs):SDG 6: Clean Water and SanitationSDG 9: Industry, Innovation, and InfrastructureSDG 11: Sustainable Cities and CommunitiesSDG 13: Climate ActionSDG 15: Life on Land
Development of an NDRE-Based Nitrogen Uptake Estimation Model for Rice Using Sentinel-2 Imagery Muhammad Rizki Dhani Nurdiyanto; Delvi Yanti
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1055

Abstract

Nitrogen availability is a critical factor influencing rice growth and productivity. Conventional methods such as Kjeldahl and SPAD are limited in spatial coverage, time efficiency, and operational costs. This study aims to develop a model for estimating rice nitrogen uptake from Sentinel-2 satellite imagery using the Normalised Difference Red Edge (NDRE) index. This study was conducted in Koto Tangah Regency, Padang City, Indonesia, at three rice growth stages: 7–12, 27–32, and 47–52 days after planting (DAP). NDRE values were derived from Sentinel-2 image processing, while actual leaf nitrogen content was measured using SPAD readings calibrated by the Kjeldahl method. The relationship between NDRE and leaf nitrogen content was modelled using linear, exponential, and quadratic regression. The results showed a significant relationship between NDRE and leaf nitrogen content at all growth stages, with a positive coefficient of determination (R²). The linear regression model performed better than the other tested models for estimating nitrogen uptake from Sentinel-2 imagery across all observed growth phases. The NSE values for the First Period (7-12 DAP) were 0.70, the Second Period (27-32 DAP) were 0.62, and the Third Period (47-52 DAP) were 0.74. A positive NSE value approaching 1 indicates improved model performance, allowing the model to continue representing the general trend of the relationships among the analysed variables. Contribution to Sustainable Development Goals (SDGs):SDG 2: Zero HungerSDG 12: Responsible Consumption and ProductionSDG 13: Climate ActionSDG 15: Life on LandSDG 9: Industry, Innovation and Infrastructure
Circular Economy Approach in the Utilization of Cl? Purification Process Waste into Aluminum sulfate Brayan Multirizky Pradana; Erwan Adi Saputro; Silvana Dwi Nurherdiana; Srie Muljanie
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1058

Abstract

This study aims to analyze the potential utilization of sulfuric acid waste (H?SO?) from the Cl? purification process into alum (Al?(SO?)?) and to evaluate its implementation in supporting the concept of circular economy and sustainable environmental management. The research was conducted through an alum synthesis process using a reaction between H?SO? waste and aluminum hydroxide (Al(OH)?) with variations in Al(OH)? weight and stirring speed. Product characteristics were analyzed based on Al?O? content, physical properties, economic potential, and the level of system circularity using Recycling Rate and Circularity Rate indicators. The results showed that increasing the amount of Al(OH)? increased the Al?O? content in the alum product, with the highest value of 18.21% obtained at a stirring speed of 150 rpm and the addition of 300 grams of Al(OH)?. The resulting alum products exhibited denser and more homogeneous physical characteristics at higher aluminum concentrations. Based on the mass balance analysis, 300 liters of H?SO? waste were able to produce approximately 391 kg of Al?(SO?)?. From the circular economy perspective, the Recycling Rate and Circularity Rate values obtained were 80.9% and 72.8%, respectively, indicating a high level of waste reutilization within the production system. In addition to providing environmental benefits through the reduction of hazardous waste, this process also offers potential savings in industrial operational costs. Therefore, the utilization of sulfuric acid waste into alum is considered technically, economically, and environmentally feasible as an implementation of the circular economy concept in the chemical industry. Contribution to Sustainable Development Goals (SDGs):SDG 6: Clean Water and SanitationSDG 9: Industry, Innovation, and InfrastructureSDG 12: Responsible Consumption and ProductionSDG 13: Climate ActionSDG 15: Life on Land
Powering Goat Milk with Nature: Functional Foods Enriched with Purslane (Portulaca grandiflora) and Probiotics Djoko Kisworo; Dewi Wulandani Baiq Rani; Bulkaini Baiq Rani; Yulianto Wahid; Fahrullah Baiq Rani; Novizar Nazir
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1063

Abstract

Abstract Portulaca oleracea (purslane) is a plant rich in bioactive compounds such as flavonoids, polyphenols, and ascorbic acid, which have great potential as functional ingredients in food products. This study aimed to determine the effect of adding purslane extract on the chemical and microbiological characteristics of probiotic ice cream containing Lactobacillus plantarum. The experiment used a Completely Randomized Design (CRD) with four treatments: P0 (0%), P1 (1%), P2 (2%), and P3 (3%) purslane extract, each with three replications. Parameters observed included moisture, fat, fiber, protein, antioxidant activity, pH, and L. plantarum population. Data were analyzed using ANOVA followed by Duncan’s Multiple Range Test (DMRT) at a 5% significance level. The results showed that the addition of purslane extract significantly affected fat, fiber, protein, antioxidant activity, and L. plantarum population (p<0.05), but had no significant effect on moisture content and pH. Fiber content increased from 2.21% (P0) to 3.53% (P3), antioxidant activity from 32.86% to 42.10%, and L. plantarum population from 0 to 5.26 log CFU/g, while fat content decreased from 3.45% to 2.41%. The increase in fiber and antioxidant activity indicated that purslane extract enhanced the functional value of ice cream, while the growth of L. plantarum suggested a prebiotic effect of purslane-derived dietary fiber. It can be concluded that the addition of up to 3% purslane extract produced probiotic ice cream with the best chemical and microbiological characteristics, showing strong potential as a natural functional food with health benefits, particularly through enhanced antioxidant activity and probiotic viability.

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