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Asep Bayu Dani Nandiyanto
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ASEAN Journal for Science and Engineering in Materials
Published by Yayasan Bumi Publikasi Nusantara
ISSN : 2828920X     EISSN : 28289951     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
The ASEAN Journal for Science and Engineering in Materials (AJSEM) promotes research in the broad field of Science and Engineering in Materials with particular respect to Indonesia, but not limited to authorship or topical coverage within the region. Contributions are expected from senior researchers, project managers, research administrators and PhD students at advanced stages of their research, representing both public organizations and private industry. Equally, the journal if intended for scholars and students, reseachers working at research organizations and government agencies, and also for enterprises undertaking applied R&D to lead innovations. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies Practice-oriented papers Case studies Review of papers, books, and resources. As far as the criteria for evaluating and accepting submissions is concerned, a rigorous review process will be used. Submitted papers will, prior to the formal review, be screened so as to ensure their suitability and adequacy to the journal. In addition, an initial quality control will be performed, so as to ensure matters such as language, style of references and others, comply with the journal´s style. The editorial board welcomes innovative manuscripts from Science and Technology field. The scopes of this journal are Material Science and Engineering Materials relating to Agriculture Materials relating to Architecture and Civil Engineering Materials relating to Astronomy and Space Engineering Materials relating to Biology, Biological and Bio System Engineering Materials relating to Chemistry and Chemical Engineering Materials relating to Computer Science and Engineering Materials relating to Earth Science and Engineering Materials relating to Electric, Electronic, and Electrical Engineering Materials relating to Environment Science and Engineering Materials relating to Food Science and Engineering Materials relating in the Organization of Laboratories Material Science and Engineering relating to Education
Arjuna Subject : Ilmu Material (semua kategori) - Ilmu Material (Lain-Lain)
Articles 77 Documents
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Analysis of Bed Temperature on Circulated Fluidized Bed Boiler Using Simple Multivariable Regression Kurniawan, Asep; Kurniawan, Teguh; Alwan, Hafid; Bindar, Yazid; Irawan, Anton
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

A Circulated Fluidized Bed (CFB) boiler is a type of steam boiler with more complex phenomena of fluidization and combustion occurring in the furnace. One of the operating problems is the temperature bed which is difficult to predict. Bed temperature prediction is important as a reference to know the combustion process and heat transfer along the furnace. The purpose of this study is multivariable data analysis to predict bed temperature based on historical data. The amount of historical data is then prepared for the dataset and passes through the stages of data cleansing, visualization, exploration, and engineering judgment. The parameters selected as control variables after going through the first principal analysis are 5 parameters, namely gross power, coal feed (X1), primary air (PA) flow (X2), secondary air (SA) flow (X3), and average bed temperature (y). The dataset is then divided based on the load into 2 groups a low load of 20.03-30.00 MW and a high load of 30.01-54.41 MW. Each parameter is converted to the natural logarithm (ln) then multivariable regression is performed. The result is a low load model equation  with Root Mean Square Error (RMSE) = 23.2813 and a high load model equation  with RMSE = 4.8416. This model can be used to predict the average bed temperature at certain input conditions of coal feed, PA flow, and SA flow according to operating load. Prospects for bed temperature prediction with this multivariable can be developed using data-based machine learning so that the operating patterns obtained are more accurate and real-time forecast prediction.
Design and Fabrication of Automated Stopper Mechanism with PLC-Controlled System and Ball Screw Mechanism Fadhila, Fahriza; Triawan, Farid
ASEAN Journal for Science and Engineering in Materials Vol 4, No 2 (2025): (ONLINE FIRST) AJSEM: Volume 4, Issue 2, September 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

The demand for high precision and efficiency in industrial cutting operations has driven the development of automated positioning mechanisms. Most traditional manual stopper systems in panel saws often suffer from inaccuracies, inefficiencies, and material waste. To address these issues, this study presents the design, implementation, and performance evaluation of a PLC-based automated stopper mechanism utilizing a ball screw system for precise linear motion. The system integrates a Programmable Logic Controller (PLC), stepper motor, ball screw mechanism, and Human-Machine Interface (HMI) to enable accurate positioning and real-time operator control. Performance tests validated the system’s reliability, precision, and suitability for industrial cutting applications. Speed evaluations confirmed that the stopper exceeded the 40 mm/s requirement, achieving 43.4 mm/s. Force resistance tests demonstrated structural stability under a 100 N load, with minimal deviations of 0.05 mm at 125 N and 0.10 mm at 150 N. Positioning accuracy tests further confirmed an average error of only 0.1 mm (0.005% deviation). The PLC executed motion commands with an average response time of 0.5 seconds, ensuring quick and reliable adjustments. These findings highlight the effectiveness of PLC-based automation in improving positioning accuracy, production speed, and overall usability in manufacturing environments.
Effect of Additional Natural Filler Waste on The Mechanical Properties of Polyurethane Polymer Mohammed, Ahmed J.; Muhsen, Muhsen Chelab; Ibrahim, Ibrahim K.
ASEAN Journal for Science and Engineering in Materials Vol 2, No 2 (2023): AJSEM: Volume 2, Issue 2, September 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

The mechanical properties of polyurethane/conocarpus leaf composites were studied. The conocarpus leaf powder was mixed with 0-55% of polyurethane. The best ratio was obtained when using 45-55%. The obvious improvement in the mechanical parameters was recorded when adding conocarpus leaf powder with 55% of polyurethane. The properties of polyurethane/conocarpus leaf composites were analyzed as a function of the additional ash amount. All prepared composites showed improved ash dispersion in the polyurethane matrix. The highest value of the compressive strength was when the ratio of 45%, reaching 9.82 MPa. This is because of this homogeneity rate between conocarpus leaf powder and chains of the polymer. The lowest value was obtained, reaching 3.3 MPa when using 30%.
In-vitro Analysis of Antimicrobial Activities of Green Synthesized Silver Oxide Nanoparticles on some Microorganisms found in Open Wound Abdulmaleek, Rahama Orahachi; Okon, Idongesit Edem; Ndukwe, George Iloegbu; Adamma, Patricia; Ekwumemgbo, E.
ASEAN Journal for Science and Engineering in Materials Vol 4, No 1 (2025): AJSEM: Volume 4, Issue 1, March 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

The main barrier to open wound healing is biofilm formation on the wound by a group of microbes encapsulated in a self-produced extracellular polymeric substance with high resistance to many conventional antimicrobial therapies. There is a need for unique anti-biofilm strategies and antimicrobial agents. This study aimed to investigate the antimicrobial activities of green synthesized silver oxide nanoparticles (Ag2O-NPs) on some bacteria (Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aeroginosa) and fungi (Candida albican) commonly found in open wound (In-vitro). Ag2O-NPs exhibited considerable zone of inhibition (ZOI) against the test microorganisms. The minimum inhibitory concentration of silver nanoparticles against the bacteria was 3.75 and 15 mg/mL against the bacteria and fungi, respectively. The minimum bactericidal concentration was 7.50 and 15.00 mg/mL for bacteria and fungi, respectively. Green synthesized Ag2O-NPs exhibited some antimicrobial activities, which can aid in wound healing.
Phytochemical Assessment of The Extracts of Stem (Bark) and Leaves of Theobroma Cocoa Materials: Experimental Procedure and Its Comparison to Literature Abulude, Francis Olawale; Ogunkoya, Mary Omofolarin; Adenibuyan, Grace Bamise; Arifalo, Kikelomo Mabinuola; Akinusotu, Akinyinka; Samuel, Ademola; Adamu, A.; Kenni, Amoke Monisola; Bello, Lateef Johnson
ASEAN Journal for Science and Engineering in Materials Vol 1, No 2 (2022): AJSEM: Volume 1, Issue 2, September 2022
Publisher : Bumi Publikasi Nusantara

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Abstract

Plants had already long been utilized as medicines to treat illnesses. Theobroma cocoa is a plant with antifungal, antibacterial, antioxidant, antiemetic, larvicidal, hepatoprotective, anti-diarrheal, anti-inflammatory, antimalarial, anthelmintic, antiarthritic, wound healing, and anticarcinogenic potential. The purpose of this study was to look into the phytochemical compositions of crude extracts of Theobroma cocoa leaves and stem (bark) materials. Carbohydrates, saponins, and phlobatannins were found in higher concentrations in both the stem (bark) and the leaves, whereas tannins, glycosides, resins, and alkaloids were found in lower concentrations in both samples. Depending on the solvent used for extraction, different phytochemical compositions are obtained in each part of the tree. However, for the majority of the phytochemicals, water extraction yielded higher concentrations.
Exploring Diverse Substrates for Enhanced Water Splitting: Tailoring Energy Conversion and Storage through Specific Qualities with Its Limitations Waheed, Abdul; Habibullah, H.; Irfan, Muhammad; Hassan, Ali; Habib, Benish; Abbas, Shabbar; Shafique, Muhammad Zakiullah
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

Energy can be generated from various resources, encompassing both renewable and non-renewable sources. Clean energy production can be achieved through water splitting, as the electrolysis of water is recognized as an efficient method for industrial-level energy production. To enhance the energy conversion efficiency of water splitting, effective electrocatalysts are essential. Consequently, researchers strive to develop the most efficient electrocatalysts that meet specific requirements. In this pursuit, various types of catalysts have been identified in the scientific community. Each electrocatalyst possesses distinct qualities based on categories such as metal type, cost-effectiveness, and applications. This review focuses on the recent developments in substrates and their applications, considering their variability in water splitting. Each catalyst has unique characteristics compared to others, playing a pivotal role in the realm of energy production. The discussion covers the entire spectrum, from the basics to advanced levels of substrate selection, elucidating their influence on output to achieve desirable results. Finally, potential challenges and directions for future research are explored, providing a comprehensive overview of the current state and potential advancements in the field. 
Physicochemical Properties of Soil Ecosystem Polluted With Spent Engine Oil Ebulue, Maximus M.; Ebulue, C. S.
ASEAN Journal for Science and Engineering in Materials Vol 1, No 2 (2022): AJSEM: Volume 1, Issue 2, September 2022
Publisher : Bumi Publikasi Nusantara

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Abstract

Assessment of the possible impact of spent engine oil on the soil ecosystem is imperative for the determination of environmental acceptability. This study investigated this impact ex-situ using standard laboratory tools to determine the following parameters: pH, temperature, moisture content, and total petroleum hydrocarbon (TPH).   The experiment demonstrated that at 1.0 – 3.5% contamination over time across days-zero to -28, spent engine oil upset the physicochemical equilibrium of the soil. A significantly reduced (p<0.05) pH in the range of 7.1 ± 0.00 to 6.2 ± 0.00 meant that the soil was acidic with a significant (p<0.05) increase in temperature from 33 ± 0.00 to 35.5 ± 0.03oC at increased concentrations overtime. The moisture content increased significantly (p<0.05) from 3.5 ± 0.00 to 19.31 ± 0.01% following the significant increase (p<0.05) in total petroleum hydrocarbon (TPH) from 0.002 ± 0.00 to 0.084 ± 0.00. This presupposed a hydrocarbon polluted soil ecosystem with oxygen deprivation; a demonstration of disturbed ecological equilibrium.
Apparatus for the use of Zeolite as an Adsorbent in the Pressure Swing Adsorption (PSA) Technology for Oxygen Concentrator Bahari, Yunus; Agustina, Sri; Kurniawan, Teguh
ASEAN Journal for Science and Engineering in Materials Vol 2, No 1 (2023): AJSEM: Volume 2, Issue 1, March 2023
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Abstract

The equipment for using zeolite as an adsorbent in the Pressure Swing Adsorption (PSA) method for oxygen concentrator is presented in this research. Worldwide, oxygen is generally utilized for a variety of chemical reactions as well as medical applications. The need for medicinal oxygen has skyrocketed in all hospitals worldwide during the COVID-19 pandemic. To minimize the amount of processing power needed and make the most use of the adsorbent capacity, the PSA process must operate efficiently. Additional details about the zeolite's role as an adsorption medium to help PSA in the synthesis of oxygen may be found in this paper.
In-vitro Analysis of Antimicrobial Activities of Green Synthesized Silver Oxide Nanoparticles on some Microorganisms Found in Open Wound Abdulmaleek, Rahama Orahachi; Okon, Idongesit Edem; Ndukwe, George Iloegbu; Adamma, Patricia; Ekwumemgbo, E.
ASEAN Journal for Science and Engineering in Materials Vol 4, No 2 (2025): (ONLINE FIRST) AJSEM: Volume 4, Issue 2, September 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

The main obstacle to open wound healing is the formation of biofilms that are resistant to antimicrobial therapy. The use of silver nanoparticles, with their healing properties and broad antimicrobial effects, offers a new solution for wound infection control. This study aimed to investigate the antimicrobial activities of green-synthesized silver oxide nanoparticles (Ag2O-NPs) against bacteria (Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aeruginosa) and fungi (Candida albicans) commonly found in open wounds in vitro. Ag2O-NPs showed significant zones of inhibition against the tested microorganisms. The minimum inhibitory concentration (MIC) values for bacteria were 3.75 mg/cm³ and 15 mg/cm³ for fungi, while the minimum bactericidal concentration (MBC) was 7.50 mg/cm³ for bacteria and 15.00 mg/cm³ for fungi. The results indicate that green-synthesized Ag2O-NPs possess antimicrobial activity, which could aid in wound healing.
Regression Study on the Impact of Vehicular Emission Pollutants on Ozone Level: Chemical and Material Perspectives Ekwumemgbo, Patricia Adamma; Okon, Idongesit Edem
ASEAN Journal for Science and Engineering in Materials Vol 2, No 2 (2023): AJSEM: Volume 2, Issue 2, September 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

This study verified the impact of vehicular emission pollutants and meteorological factors on the variability of ground-level ozone in Port Harcourt, Nigeria using multiple linear regression (MLR) analysis (p=0.05). Data were collected at traffic hot spots over twelve calendar months (December 2017 and November 2018). The explanatory variables were precursor pollutants (NO2, CO, and VOCs) and meteorological factors (temperature, relative humidity, and wind speed). Data collected were subjected to correlation analyses, and O3 concentrations showed a significant positive correlation with NO2, CO, VOCs, and traffic density (p= 0.05). O3 levels also correlated positively with temperature and negatively with wind speed and relative humidity across traffic periods. Three Models: Model 1, Model 2, and Model 3 were generated from MLR analyses for the estimation of O3 variation in the morning peak traffic period, off-peak traffic period, and evening peak traffic period respectively. Validation of performance for each Model was achieved using performance statistics including adjusted R2, mean absolute error (MAE), mean biased error (MBE), mean square error (MSE), and root mean square error (RMSE).

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