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Contact Name
Asep Bayu Dani Nandiyanto
Contact Email
nandiyanto@upi.edu
Phone
081394340884
Journal Mail Official
bumipublikasinusantara@gmail.com
Editorial Address
Kp, Jl. Gegerkalong Girang No.113, RT./RW/RW.002/006, Isola, Kec. Sukasari, Kota Bandung, Jawa Barat 40154
Location
Unknown,
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INDONESIA
ASEAN Journal for Science and Engineering in Materials
ISSN : 2828920X     EISSN : 28289951     DOI : -
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
Articles 10 Documents
Search results for , issue "Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024" : 10 Documents clear
Bibiliometric Analysis using Vosviewer with Publish or Perish of Fiber As A Soilless Planting Medium Nuryantini, Ade Yeti
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

The use of soilless planting media is currently increasingly in demand because land for agriculture is decreasing as a result of it being used for residential and industrial construction. One of the preferred planting media options is fiber, both natural and synthetic. This research aims to analyze publication trends regarding the use of fiber as a soilless planting medium, using bibliometric methods and mapping with the VOSviewer application. Publication data was taken from Google Scholar between 2019 and 2024, and a total of 942 documents were found during that period. Publication trends regarding the use of fiber as a soil-free planting medium fluctuate, increasing and decreasing every year. The number of documents in 2019 decreased, although not too significantly. But from 2019 to 2023 there was a soaring increase. At the beginning of 2024, interest in research on the use of fiber as a soil-free growing medium will increase rapidly, as shown by the publication of 52 publications at the beginning of the year. The results of three types of mapping show that research on fiber continues to develop along with the various types of fiber used as planting media. Therefore, further research regarding the development of fiber as a soilless growing medium is still relevant and very necessary and could be a driving force for further research to find innovations in this field. 
How to Calculate Economic Evaluation in Industrial Chemical Plant Design: A Case Study of Gold Mining Using Amalgamation Method Fiandini, Meli; Nandiyanto, Asep Bayu Dani
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

In the world of the chemical industry which continues to develop, factory design is the first step that determines the success of a project. However, to ensure that sustainability, efficiency and a positive impact on the economy can be achieved, economic evaluation is a critical aspect that must be considered carefully. Economic evaluation has a central role in the design stage of industrial chemical plants. However, until now, there is still no research that explains step by step how to calculate economic evaluations, especially in the field of industrial chemistry. Based on this, the aim of this article is to demonstrate how to calculate economic evaluations in chemical plant design. To provide a detailed understanding, we present a step-by-step example of calculating an economic evaluation of the design of a gold mining using amalgamation method. It is hoped that this article can have a significant impact by illustrating effective ways to optimize financial sustainability, make wise data-based decisions, and manage risk carefully in the design of industrial chemical plants through in-depth analysis using economic evaluation. Here, this article not only serves as an important basis for corporate decision-making, but also provides valuable guidance for the chemical industry in designing efficient and economically sustainable production facilities.
Techno-Economic Analysis of the Business Potential of Recycling Lithium-ion Batteries Using Hydrometallurgical Methods Rachmadhani, Dwi Rizky; Priyono, Bambang
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

Indonesia is committed to achieving net zero emissions by 2060 through short-term policies. The focus includes energy efficiency, renewable resources in the electricity sector, and transportation electrification. Transportation electrification leads to increased use of lithium-ion batteries, predicted to grow at a CAGR of 25.45%. The installed capacity of lithium-ion batteries is expected to reach 10.5 TWh, with 8.1 TWh in electric vehicles by 2030. The waste from lithium-ion batteries in Indonesia is estimated to be 250,000 tons by 2020, increasing with electric vehicle policies. By 2040, it is projected to require 0.2 million tons of cobalt and 1.3 million tons of nickel. Recycling support to address domestic lithium unavailability results in a circular economy worth US$ 49,767,416 and reduces emissions by 7,472 tons of CO2 from devices sold in 2022. 
Machine Learning-Based CO2 Hydrogenation to High-Value Green Fuels: A Comprehensive Review for Computational Assessment Ahmed, Muhammad; Latif, Rukhsar; Seher, Shabaz; Sajjad, Rida; Hussain, Tariq; Islam, Muhammad Raza; Waleed, Abdul
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
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The biggest candidate for climate change is the emission of CO2 during the burning of fossil fuels and researchers are trying to capture this CO2 efficiently and utilization effectively. This review highlights the parametric effects on conversion, utilization, and selectivity in CO2 hydrogenation via the Fischer-Tropsch method using various catalysts. Collecting the data from reported studies as datasets for quantum mechanical-based simulation software such as DFT and Monte Carlo were employed to probe the characteristics of catalysts, the discovery of novel catalysts, theoretical models for utilization of catalysts and parameters for CO2 hydrogenation such as operational, catalyst information, and mass transfer. Two syntheses such as methanol and methane were studied extensively via machine learning techniques. How artificial intelligence can help experimentalists for finding new catalysts has been discussed and how one can understand the catalytic features in a better way. Furthermore, the key challenges in CO2 hydrogenation technology and future directions based on artificial intelligence have been discussed thoroughly.
Smart Packaging Innovation for Food: Enhancing Shelf Life and Quality of Perishable Goods Rahman, Keisha Rafina; Ramdhani, Salzabila; Sanyoto, Viola Gracelia; Nawareza, Zheeva
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
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Abstract

Smart packaging has become a key factor in efforts to improve the shelf life and quality of perishable products. The purpose of this study is to analyze the importance of innovation in smart packaging to improve the shelf life and quality of perishable products. The research method used includes an in-depth literature study to gather relevant information to collect data on existing smart packaging innovations. To date, very few studies have been conducted specifically to discuss or propose innovative smart packaging development solutions to improve the shelf life and quality of perishable products. Hopefully, this paper can provide information on various new technologies and materials that can be used in smart packaging to extend the shelf life and maintain the quality of perishable products. 
How to Design and Fabricate a Sugarcane Bud Chipping Machine with a Foot Pedal Samah, Smith; Olabisi, Samuel A.
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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This Project aims to design and fabricate a Sugarcane Bud Chipping Machine. It has been observed that farmers prefer to plant sugarcane directly in the field manually, which is a cumbersome and time-consuming process. Once the problem was identified, an approach was conceptualized to provide a solution. Sugarcane Bud Chipper which cuts the sugarcane buds in smaller sizes for plantation purposes. These buds are smaller than the sugarcane sticks from earlier plantation methods. This machine incorporates various components, assembled uniquely for a desirable output.  The power needed to cut the sugarcane bud is generated from the pedal through human effort. A chain, 137 cm long, was used to link the two sprockets, one was attached to the pedal, while the other sprocket was attached to the arm of the cutting blade. The two sprockets are coupled to two shafts, which transfer force to the arm of the cutting blade. When the pedal is been paddled, mechanical energy leaves the pedal to the cutting unit. The blade holder was attached to the arm of the cutting blade. When the pedal is pressed, the shaft slickly rotates, the cutting unit moves downward and when the pedal is released, the cutting unit returns, upward through the support of the spring. The pedal-powered Sugarcane Bud Chipping Machine is easy to operate and reduces intensive labor. This machine makes operation easier and more comfortable in the process of sugarcane production for rural dwellers who do not have access to a power supply. The use of this machine will improve the economic well-being of local farmers in remote areas.
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
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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.
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. 
Hard and Soft Acids and Bases (HSAB): Investigating Adduct Formation in Non-Aqueous Solvent Media with Selected Divalent Class B Metal Ions in Chemistry Onwudinjo, Felicity Uju
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
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This study explores the Lewis acid/base interactions of divalent metal ions—copper (II), lead (II), and mercury (II)—with Lewis bases 2-naphthol and caffeine in an ethanol solvent. Utilizing the method of continuous variation, absorbance data were analyzed to understand these interactions. Absorbance data analyzed through Job's plot revealed distinct interaction patterns. For the copper (II) system, the Job's plot did not exhibit a maximum, indicating a lack of significant cooperative interaction, with absorbance values fluctuating without a clear pattern. In contrast, the lead (II) and mercury (II) systems demonstrated clear maxima with both 2-naphthol and caffeine, evidencing cooperative interactions. Specifically, the Job plot for lead (II) with 2-naphthol peaked at an absorbance of 1.25 at a mole ratio of 1:1, and for mercury (II) with caffeine, a maximum absorbance of 1.40 was observed at the same stoichiometry. These results indicate a 1:1 stoichiometry for the adducts formed, suggesting that the interactions of these metal ions with the bases can be described by the Eigen-Wilkins mechanism. This mechanism may thus account for the adduct formation involving the class B Lewis acids studied in a non-aqueous medium, highlighting a distinctive aspect of their chemical behavior. 
A Dynamic Area-Pressure Model Applied to Crystals in A Pot Plant Battery and Other Space Matter Strömberg, Lena J. T.
ASEAN Journal for Science and Engineering in Materials Vol 3, No 2 (2024): AJSEM: Volume 3, Issue 2, September 2024
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Physical space, geometry, and matter are described with a theoretical formula, based on experimental results for a certain battery device. The model is derived from mechanical pressure on an area and applied for forming crystals. Those were found to develop in electrical devices, providing a spatial equivalent to the electrolyte. This study provides an explanatory model in some crystal formations as well as the optical reflections in terms of spectral activity.

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