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Communications in Science and Technology
ISSN : 25029258     EISSN : 25029266     DOI : -
Core Subject : Engineering,
Communication in Science and Technology [p-ISSN 2502-9258 | e-ISSN 2502-9266] is an international open access journal devoted to various disciplines including social science, natural science, medicine, technology and engineering. CST publishes research articles, reviews and letters in all areas of aforementioned disciplines. The journal aims to provide comprehensive source of information on recent developments in the field. The emphasis will be on publishing quality articles rapidly and making them freely available to researchers worldwide. All articles will be indexed by Google Scholar, DOAJ, PubMed, Google Metric, Ebsco and also to be indexed by Scopus and Thomson Reuters in the near future therefore providing the maximum exposure to the articles. The journal will be important reading for scientists and researchers who wish to keep up with the latest developments in the field.
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Articles 25 Documents
Search results for , issue "Vol 10 No 1 (2025)" : 25 Documents clear
A simulation-based feasibility assessment of malic acid production from molasses using Rhizopus arrhizus Heriyanti; Marito, Olivia Yolanda; Huwaida, Ariqah Iffah; Ramadhan, Varrel Ariasatya; Harijanto, Fransiskus Xaverius Ray Setiadharma; Harmami, Sri Budi; Gozan, Misri
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1629

Abstract

Malic acid is a valuable organic acid widely used in food, pharmaceutical, and chemical industries. It can be sustainably produced from underutilized molasses, often classified as waste. This study evaluated the feasibility of malic acid production from molasses, using Rhizopus arrhizus. A SuperPro Designer simulation integrated process design, economic analysis, and sensitivity evaluation and the results demonstrated economic viability with a Net Present Value (NPV) of $2,140,000 (7% discount rate), an Internal Rate of Return (IRR) of 15.81%, a Return on Investment (ROI) of 22.70, and a payback period (PP) of 4.40 years for an annual production capacity of 2,830 MT. Sensitivity analysis highlighted the selling price of malic acid as the most important economic factor. This feasibility study provides a novel approach to integrate molasses-based fermentation with simulation tools, offering actionable insights for industrial-scale implementation by quantifying key economic drivers.
Microwave-assisted extraction of eco-friendly surfactant from Jatropha curcas for sustainable solubilization of reactive dyes Aryanti, Nita; Khoiriyah, Lu'luatul; Nafiunisa, Aininu; Ratnawati; Widiasa, I Nyoman; Zakki, Abdurrahman; Adina, Alifia Rizki
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1636

Abstract

Natural surfactants derived from plant-based sources, such as saponins, remain underexplored. This study developed the extraction of saponins from Jatropha curcas leaves using microwave-assisted extraction (MAE) finding that the optimized condition of 3 min, 363.15 K, 30 mL/g ratio of extraction yielded the highest saponin content of 35.04 mg/g. The FTIR and HPLC analyses confirmed the structural similarity between the extract and commercial saponin. Additionally, the extracted saponins effectively solubilized Remazol Red RB and Blue TQ with solubilization efficiency increasing proportionally to the surfactant concentration. The surfactant properties of the extracted saponin were also confirmed by its ability to form foam and high critical micellar concentration, which revealed the potential for material valorization. This work demonstrated that the development of plant-based surfactants provides a sustainable alternative to synthetic surfactants. Moreover, valorizing natural materials contributes to the advancement of eco-friendly technologies, particularly in waste treatment and water purification applications.
Tunable copper oxide quantum dots: Electrochemical synthesis, characterization, and advanced applications Sujinnapram, Supphadate; Kengtone, Kampeepan; Raktham, Chainarong; Hongsith, Kritsada; Choopun, Supab; Wongrerkdee, Sutthipoj
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1637

Abstract

This work represents tunable copper oxide quantum dots (QDs) using an electrochemical synthesis in a mixture of electrolytes of citric acid (CA) and potassium chloride (KCl). The colloidal solutions showed a blue coloration, indicating quantum size effects and uniform dispersion of spherical QDs. The absorbance slightly decreased as the concentration of CA and KCl increased. PL studies indicated the maximum emission intensity at high CA and KCl concentrations due to great stabilization and surface-passivated quantum confinement effects. SAED confirmed polycrystalline structures of CuO and Cu2O depending on the concentration of CA and KCl. This possibility of tuning particle size and crystalline phases offers significant potential for advanced applications. For a demonstration of the QDs as an antibacterial agent, it demonstrates potential as an agent for inhibiting E. coli and S. aureus. Furthermore, the integration of the QDs with ZnO-based photocatalysts resulted in an enhanced photocatalytic degradation of methylene blue.
Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting Cahyono, Bambang Kun; Ummah, Muhammad Hidayatul; Andaru, Ruli; Andika, Neil; Pamungkas, Adjie; Handayani, Hepi Hapsari; Atmodiwirjo, Paramita; Nathan, Rory
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1638

Abstract

Rainfall forecasts are essential for human activities enabling communities to anticipate any impacts. Rainfall events correlate with other natural and hydro-meteorological phenomena, which can be used in modeling and prediction. This study used daily CHIRPS for the Gajahwong watershed in Yogyakarta, Indonesia as the precipitation data. It also used Sea Surface Temperature, Land Surface Temperature (Day and Night), Minimum and Maximum Temperatures, Solar Radiation, Wind Speed (U and V components), Cloud Pressure (Top and Base), and Cloud Height (Top and Base) as the parameters. Further, data processing was performed by means of the Google Earth Engine (GEE) platform. Machine learning methods, including Support Vector Regression, Gradient Boosting Regression, Random Forest, and Deep Neural Networks, were applied. The correlation analysis revealed that only the Wind Speed V-component showed significant correlation with rainfall, other seven parameters showed moderate and four showed weak ones. Meanwhile, accuracy assessments indicated that Support Vector Regression had the most accurate predictions accompanied by Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Squared Error (MSE), R2, and Coefficient Correlation (CC) at 1.366, 0.947, 1.866, 0.948 and 0.982 respectively. This study demonstrated that utilizing openly accessible atmospheric datasets processed through the GEE could yield reliable rainfall predictions, facilitating informed decisions on a wide scale. The methodology is adaptable and can be reproduced for any comparable research or operational purposes.
Modification of Ag3PO4 surface using a nanosilver solution prepared under sunflower seed extract Azmi, Vania Amelia; Sulaeman, Uyi; Larasati, Rini; Hermawan, Dadan; Asnani, Ari; Isnaeni, Isnaeni; Yin, Shu
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1642

Abstract

Designing new properties of Ag3PO4 photocatalysts is challenging as the Ag3PO4 surface is highly susceptible to photocorrosion. This study aims to improve the properties of Ag3PO4 by modifying its surface using a nanosilver solution prepared under sunflower seed extract. This photocatalyst was prepared by chemical coprecipitation. Based on XPS analysis, the interaction of nanosilver solution with the Ag3PO4 surface significantly affected the P 2p chemical state and decreased the Ag/P atomic ratio of Ag3PO4. The modification of the Ag3PO4 surface by nanosilver solution resulted in the formation of silver vacancy defects and the incorporation of Ag nanoparticles (AgNPs) on the Ag3PO4 surface. This new design of Ag3PO4 showed a remarkable photocatalytic reaction for Rhodamine B oxidation and antibacterial activity under blue light irradiation. The photocatalytic reaction was mainly driven by forming superoxide anion radicals and hole species. This phenomenon can provide a new direction in the improvement of the photocatalytic ability of Ag3PO4 through a natural plant material approach.
Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm Putra, Dike Fitriansyah; Jaafar, Mohd Zaidi; Khalif, Ku Muhd Na’im; Siswanto, Apri; Lukman, Ichsan; Kurniawan, Ahmad
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1649

Abstract

Optimizing the Alkaline-Surfactant-Polymer (ASP) injection process remains a persistent challenge in Enhanced Oil Recovery (EOR), particularly in heterogeneous sandstone reservoirs where traditional reservoir simulators are constrained by high computational demands and limited flexibility. This study introduces a novel application of the Super Learner (SL) ensemble, a stacking-based machine learning algorithm integrating multiple base models (XGBoost, SVR, BRR, and Decision Tree), to systematically predict and optimize ASP injection parameters. Unlike previous approaches, our method blends high-fidelity CMOST simulation data with machine learning precision in which it enables real-time optimization with field-scale relevance. Using 500 simulation scenarios validated by laboratory input, the SL model achieved exceptional predictive performance (R² = 0.988, RMSE = 0.304), outperforming all individual learners. The optimal recovery factor (RF) of 79.49% was obtained with the finely tuned concentrations of surfactant (5483.29 ppm), polymer (2242.61 ppm), SO?²? (5610.15 ppm), CO?²? (7053.59 ppm), and Na? (9939.35 ppm). Remarkably, the SL approach could reduce optimization time from 10 hours (CMOST) to under 1 minute; this underscored its potential for real-time operational deployment. The novelty of this work lies in its integrated use of ensemble learning to capture the complex and non-linear interactions between ionic chemistry and oil mobilization behavior, offering a field-ready AI framework for rapid and adaptive EOR design. This approach paves the way for the intelligent optimization of ASP schemes by minimizing the reliance on computationally intensive simulations while ensuring chemical and economic efficiency in marginal or complex reservoirs.
Experimental investigation of a thermoelectric generator assisted with heat pipe sinks for pickup car exhaust waste heat recovery Sukarno, Ragil; Indasyach Moreno, Zavi; Rio Budi Syaka, Darwin; Gunawan, Yohanes; Gama Yoga, Nugroho; Fariz Adzani, Rivaldo; Putra Mustafit, Alvian; Kurniawati, Desy
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1661

Abstract

In internal combustion engine vehicles (ICEV), about 40% of the heat is discharged into the environment as waste heat. This study proposed to develop an energy recovery device to utilize exhaust heat as electrical energy using a thermoelectric generator (TEG) assisted with a heat pipe sink. Six TEG units were installed on the stainless-steel heat block in an exhaust pipe where each TEG unit varied with one-stage TEG and two-stage TEG modules. The results showed that the maximum power generated and TEG efficiency of 1.4 W and 1.14% were obtained under 180oC of exhaust pipe temperature, with a two-stage TEG with a heat pipe sink under forced convection. The use of a heat pipe sink and under-forced convection improves the TEG system's performance by increasing the temperature difference between both sides of the TEG module, which impacts the electric power generated. This research provides some practical guidance for increasing the power and efficiency of TEGs by improving heat transfer performance through heat pipes.
Enhancement in thermal stability and surface properties of LiFePO4/VFLG composite prepared via sol-gel route Amri, Amun; Bertilsya Hendri, Yola; Sunarno; Dwi Setyo Pambudi, Yoyok; Assylzhan, Mazhibayev; Elmira, Kambarova; Ain, Khusnul; Jumbri, Khairulazhar; Tao Jiang, Zhong; Yang, Chun-Chen
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1667

Abstract

Thermal and surface properties of LiFePO4/very-few-layer graphene (LiFePO4/VFLG) composite manufactured through the sol-gel route have been researched for lithium-ion battery cathode application. VFLG was acquired from a facile, cost-effective, and environmentally benign fluid dynamic shear exfoliation process. The composites were characterized through thermogravimetry analysis (TGA), differential scanning calorimetry (DSC), field-emission scanning electron microscopy (FESEM) interlinked with energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM), and Braneur-Emmett-Teller (BET) analysis. The TGA-DSC results showed that the integration of VFLG could enhance the thermal stability of the composite by inhibiting oxygen diffusion on the LiFePO4 surface. FESEM-EDX analysis, meanwhile, confirmed the homogeneously distributed VFLG in the composites. TEM results revealed that the average particle sizes of the composites decreased by about 21.2% compared to the bare LiFePO4. TEM and HRTEM results confirmed an intimate contact between VFLG intimately and LiFePO4 particles via plane-to-point contact, contributing to the control and reduction of particle size. Furthermore, physisorption via BET analysis revealed that incorporating VFLG provided a wider distribution of mesopores and increased pore diameter and pore volume by 128.7% and 656.3%, respectively, compared to sole LiFePO4. These significant improvements were related to the flexibility and ability of a thin layer of VFLG to limit the growth of LiFePO4 particles. This approach offers a promising strategy to enhance the thermal stability and surface properties of lithium-ion battery cathodes.
Ionic liquid ultrasound-assisted extraction (IL-UAE) for duck feather keratin and in silico evaluation as a potential procollagen n-endopeptidase inhibitor Sianita, Maria Monica; Kusumawati, Nita; Asri, Mahanani Tri; Dzulkarnain, Shod Abdurrachman; Al Hafidl, Achmad Naufal; Kahfi, Ashabul; Nabila, Mutiara Azfa; Setiawan, Ferdiansyah; Isyrak, Luthfiyah; Rahmawati, Khofifatul
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1669

Abstract

This research aims to optimize keratin extraction from duck feathers using an eco-friendly ionic liquid-ultrasound-assisted extraction (IL-UAE) method and evaluate its potential applications in tissue engineering. It investigated the effects of deposition pH (1-6), ultrasonication temperature (40-60°C), and time (60-180 min) on extraction yield and physicochemical properties. The results demonstrated the optimal extraction conditions at pH 3, 40°C, and 60 minutes, yielding 82% keratin with a 0.50 mg/mL concentration, while the lowest yield production was found at pH 6 (33%, 0.20 mg/mL). Meanwhile, characterization via FTIR confirmed predominant ?-sheet structures with characteristic peaks at 3250-3300 cm?¹ (N-H/O-H stretching) and 1700-1500 cm?¹ (C=O stretching). SDS-PAGE revealed pure keratin bands (10-15 kDa), while SEM showed layered, porous morphology suitable for biomaterial applications. Thermogravimetric analysis, furthermore, identified three degradation stages occurred at 0-200°C (3.05% loss), 200-400°C (39.37% loss), and 400-700°C (31.13% loss). Amino acid profiling revealed high L-cystine content (153,064.90-156,926.33 mg/kg) with the significant amounts of glycine (63,958.25-64,064.73 mg/kg), L-proline (77,631.16-77,717.42 mg/kg), and L-leucine (59,111.43-59,198.60 mg/kg). In silico molecular docking studies identified leucine as a promising procollagen N-endopeptidase inhibitor (binding energy -5.0 kcal/mol), which controlled the collagen-breaking and forming process. This ability makes keratin potential to be developed as a scaffold for bone tissue regeneration in medical industry.
Residue-free alkali-treated aluminum foil for water disinfection: A novel supernatant Mg(OH)2 fabrication method Ihsan, Taufiq; Novia, Fanny; Tetra, Olly Norita
Communications in Science and Technology Vol 10 No 1 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.1.2025.1673

Abstract

This study presents a novel approach to fabricate alkali-treated aluminum (ATA) foil for point-of-use (POU) water disinfection, addressing the residue issue associated with conventional production methods. Traditional ATA foil production leaves a residual layer that hinders practicality in use. To cope with it, a supernatant Mg(OH)2 solution was employed, resulting in residue-free ATA foil. Two variants, conventional ATA foil (ATA foil-1) and supernatant-treated ATA foil (ATA foil-2), were fabricated and analyzed. Surface characterization revealed that ATA foil-2 had a smoother surface with fewer cracks while maintaining E. coli removal efficiency and methyl orange adsorption capacity similar as ATA foil-1. Maximum E. coli adsorption capacities were found at 572,967 CFU/cm2 for ATA foil-1 and 561,513 CFU/cm2 for ATA foil-2. Both foils achieved over 84% methyl orange removal, indicating adsorption as the primary removal mechanism. The findings demonstrated that the supernatant Mg(OH)2 method successfully produced residue-free ATA foil with comparable disinfection performance, thus eliminating the need for a washing step and enhancing its suitability for point-of-use water treatment applications.

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