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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 80 Documents
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Search results for , issue "Vol 5, No 3 (2025)" : 80 Documents clear
Optimization of LPG Distribution for a Multiplatform-Based LPG Marketplace Budianto, Herman; Mustaqin, Farhan Faisal Zainul; Setiawan, Esther Irawati; Santoso, Joan
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.994

Abstract

Marketplace applications have become an essential digital solution supporting online transactions, including LPG distribution. The development of this application adopts a multiplatform approach, enabling the application to run on various devices, particularly Android platforms and websites. Using the React Native framework, developers can build applications with a single, efficient codebase for multiple platforms. This study aims to provide users with convenience in purchasing LPG without leaving their homes while offering a more practical and effective user experience. This research includes features for selling, buying, payment, and delivery via courier. The transaction feature facilitates sellers' recording of sales within the application. The results of alpha testing indicate that the Elpijiku marketplace app works well despite some significant errors or bugs. However, acceptance testing results were very positive, with 91% of respondents rating the application and user experience as good. These findings indicate that the Elpijiku application meets user needs in terms of convenience and efficiency and is suitable for use as a digital solution for LPG distribution.
Transformer-Based Tabular Foundation Models: Outperforming Traditional Methods with TabPFN Babu, R Anand; Priya V, Vishwa; Kumar Mishra, Manoj; Ramesh Raja, Inakoti; Kiran Chebrolu, Surya; Swarna, B
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1146

Abstract

Scientific research and commercial applications rely heavily on tabular data, yet efficiently modelling this data has constantly been a problem. For over twenty years, the standard method for machine learning has been based on traditional models, with gradient-boosted decision trees (GBDTs). Despite recent advancements in deep learning, neural networks often fail to provide satisfactory results on compact tabular datasets due to factors such as overfitting, insufficient data intricate feature relationships. The study offers a Tabular Prior data Fitted Network, a foundation model developed by meta-learning on more than one million synthetic datasets generated sequentially, which is constructed on transformers to tackle these limitations. Without retraining or hyperparameter optimization, TabPFN learns to anticipate the best solutions for tabular problems, gaining inspiration from the achievements of GPT-like models in natural language processing. When applied to small to medium-sized datasets, its cutting-edge performance in inference speed accuracy outperforms that of traditional methods. TabPFN redefines efficient and scalable tabular data modelling, including generative capabilities, few-shot learning, rapid adaptation.
The Mechanical Properties of Bismuth-based Ceramic Nanocomposite Nurmalita, Nurmalita; Fikri, Ahmad; Masrullita, Masrullita; Sylvia, Novi; Fazira, Zetta; Jalaluddin, Jalaluddin; Ginting, Zainuddin
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1086

Abstract

This research investigated a Bismuth-based ceramic nanocomposite material with the stoichiometric composition Bi?.?Pb?.?Sr?Ca?Cu?O_y (abbreviated as B(P)SCCO-2223), synthesized via the solid-state reaction method. The fabrication process involved compound composition calculations and powder metallurgy using several high-purity oxide precursors, with bismuth oxide as the primary component. Heat treatment in the form of sintering was conducted at 846?°C for durations of 32 and 34 hours to examine its effects on the material’s physical properties. Scanning Electron Microscopy (SEM) analysis revealed layered grain structures with the presence of pores at grain boundaries. Energy Dispersive X-ray (EDX) analysis confirmed that the target 2:2:2:3 elemental ratio was achieved across all samples. X-ray Diffraction (XRD) analysis showed that the sample sintered for 34 hours exhibited the largest grain size of 48.07?nm. The holding time of 34 hours during the sintering process has provided sufficient opportunity for the crystal grains to grow larger. Scanning electron microscopy photos also show that longer sintering times make the empty space between the grains smaller because the crystal grains are closer together, followed by the pore size becoming smaller. This sample also demonstrated the highest oriented phase percentage (58.12%) and the lowest impurity level (6.05%). Mechanical properties, evaluated using Vickers microhardness testing, indicated that the 34-hour sintered sample had superior performance, with a Vickers hardness of 0.905?GPa, Young’s modulus of 74.2?GPa, yield strength of 0.301?GPa, fracture toughness of 5.17, surface energy of 0.18?J, and a brittleness index of 0.175. Overall, the study concluded that the physical properties of the ceramic nanocomposite improved with increased sintering duration.
Optimization Study Of Time And Mass Of Ketapang Fruit Shell Biosorbent in the Methylene Blue Batch Adsorption Process Meriatna, Meriatna; Zulmiardi, Zulmiardi; Nurlaila, Rizka; Suryati, Suryati; Hasfita, Fikri; Faisal, Faisal
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1000

Abstract

Ketapang fruit shell (Terminalia catappa) has shown potential as a low-cost, eco-friendly biosorbent for removing synthetic dyes from aqueous solutions. This study aimed to determine the optimum conditions for contact time and adsorbent mass of ketapang fruit shell in the adsorption of methylene blue dye. The research involved several stages: preparation and chemical activation of the fruit shells, batch adsorption experiments, analysis of adsorption capacity and efficiency, and optimization using the Response Surface Methodology (RSM). Characterization of the adsorbent was conducted using UV-Visible spectroscopy, Fourier Transform Infrared (FTIR) spectrosco-py, and Scanning Electron Microscopy (SEM) to analyze functional groups and surface morphology. The RSM approach was employed to evaluate the interaction effects of contact time and adsorbent mass, as well as to predict the optimal conditions for maximum dye re-moval. The optimum adsorption conditions were achieved at a contact time of 39.15 minutes and adsorbent mass of 0.416 g, resulting in an adsorption capacity of 1.935 mg/g and 100% removal efficiency. The regression model obtained from RSM was: Y= 35.13437  + 334.35597A – 1.67299B + 0.088354AB – 402.98656A² + 0.018207B², with  a coefficient of determination R² = 0.7857 (78.57%), indi-cating a good model fit. Furthermore, the adsorption behavior followed the Freundlich isotherm model, supported by an R² value of 0.787 (78.7%), suggesting multilayer adsorption on a heterogeneous surface. These findings confirm the effectiveness of ketapang fruit shell as a promising adsorbent for methylene blue removal in wastewater treatment applications.
Performance of Soil Subgrade Improvement using Waste Material Coconut Shell Charcoal Putri, Lusi Dwi; Rahmawati, Cut; Ahmad, Jawad
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1006

Abstract

This study investigates using Coconut Shell Charcoal (ABK) as a stabilizing agent for clayey soils, aiming to enhance their suitability for road subgrade applications. The primary objective is to evaluate the effect of varying ABK concentrations (0%, 5%, 10%, and 15%) on the geotechnical properties of clay soil, particularly its compaction and load-bearing capacity. Laboratory tests, including compaction and California Bearing Ratio (CBR), were conducted to assess the influence of ABK on soil strength and stability. The results reveal that adding ABK significantly improves the soil's compaction characteristics and CBR values. The highest improvement was observed at 15% ABK, where the CBR value reached 22.22%, well above the minimum threshold required for road subgrade materials. There is a good influence of coconut shell charcoal on increasing the CBR value of clay soil subgrade at each additional material. The R value of 0.963 obtained shows a very high correlation. The addition of coconut shell charcoal to the subgrade soil has a positive effect on the California Bearing Ratio value which increases in each variation. The study demonstrates that ABK, a sustainable agricultural waste product, provides an affordable and effective solution for enhancing the strength and stability of clay soils, making it a promising alternative to traditional stabilizers such as lime and cement. The findings have significant implications for road construction in regions with expansive and weak soils, offering a cost-effective and environmentally friendly method for soil stabilization. This research contributes to the growing body of knowledge on the use of agricultural waste in infrastructure development, emphasizing the potential of ABK in providing sustainable solutions for soil improvement in civil engineering applications.
Impact of Information Technology: Developments the Related Research in the Last 2 Decades Amri, Irman; Windiarti, Ika Safitri
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.916

Abstract

This study outlines the potential future direction of research in information technology impact. Based on current findings, we identify key areas where further investigation is needed to advance the understanding and application of information technology. Our discussion highlights gaps in the literature, proposes new methodologies, and suggests an interdisciplinary approach to answering unsolved questions. This research highlights the significant impact of information technology in improving operational efficiency and quality in the education, health, and economic sectors over the past two decades. Using the PRISMA method for systematic literature analysis, this study identifies key trends and developments in information technology and provides recommendations for evidence-based practices and policies. The results of this study are expected to make an essential contribution to theory and practice, offering insights for more informed decision-making and more effective implementation strategies in the use of information technology.
The Impacts of Collaborative Online International Learning, Web-Based Language Learning, and Onsite Learning on Japanese Language Ability Linda, Unsriana; Dhaniar, Asmarani; Maria Tamarina, Prawati; Utari, Novella
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.903

Abstract

Learning foreign languages, particularly Japanese, following Covid-2019's integration of many models and approaches. In order to increase student proficiency in learning Japanese, B University has implemented a number of learning models, including studying through traditional techniques in class face-to-face with a digital application and a collaborative online learning model. This study, which frequently employs quantitative methodologies, will have an impact on those three models and their relation to improved Japanese language proficiency. The information used comes from a survey that uses a Likert scale. The population for the raw data is drawn from 2022–2023 first- and second-semester students. These students, who responded to our survey, are Japanese Department’s students and are actively participating in three different learning environments: B-apps (web-based language learning), Collaborative Online International Learning (COIL), and regular class attendance. Our research demonstrates that B-apps has a minor impact on learning Japanese, while Collaborative Online International Learning and regular interactive class sessions are necessary to acquire deeper levels of abilities.
The Mediating Role of Job Satisfaction in the Relationship between Work-Life Balance, Continuance Commitment, Task Complexity, and Competence on Perceived Productivity Zumrodah, Zumrodah; Negoro, Dhimas Angga
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.895

Abstract

This study examines the mediating role of job satisfaction in the relationship between work-life balance, continuous commitment, task complexity, and competencies on employees' perceived productivity at the Ministry of Tourism and Creative Economy. This study used the Structural Equation Modelling–Partial Least Squares (SEM–PLS) approach to analyze data from 231 participants. Important components of an effective workplace, such as job satisfaction and perceived productivity, are strongly impacted by work-life balance and continual dedication, according to the results. In contrast, task complexity hurts both job satisfaction and perceived productivity. Meanwhile, competencies positively influence perceived productivity but do not directly affect job satisfaction. In addition, competency-based relationships are not mediated by job satisfaction, although work-life balance, sustained commitment, and task complexity are all related to perceived productivity. Human resource management, which promotes a healthy work-life balance, increases dedication over time, and controls the complexity of jobs, is crucial, according to the study's conclusions. Policies such as flexible working hours, structured training, and clear task distribution can enhance job satisfaction and perceived productivity. These findings are relevant for optimizing the performance of the tourism and creative economy sectors, supporting industry growth, and increasing their contribution to the national economy.
Implementation of The Seasonal Autoregressive Integrated Moving Average Predictive Model on Raw Material Usage Data at PT. Plastik Karawang Flexindo Alfiansyah, Muhammad Rindra; Tukino, Tukino; Hananto, Agustia; Novalia, Elfina
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.867

Abstract

Fluctuations in raw material utilization in the manufacturing industry significantly impact production process efficiency, operational costs, and supply chain stability. Inaccurate planning and management of raw material inventories can lead to two extreme conditions: excess stock, which increases storage costs and the risk of expiration, or stock shortages, which could halt the production process and reduce productivity. To improve the accuracy of raw material consumption planning, this study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict raw material needs periodically based on historical data. The dataset used includes the consumption of Polyethylene (PE), High Density Polyethylene (HDPE), and Polypropylene (PP) from 2019 to 2025. The data is analyzed using a time series forecasting approach to identify trends and seasonal patterns. The SARIMA model is developed and optimized using three methods to search for the best parameters: Grid Search, Random Search, and Bayesian Optimization, to enhance prediction performance. The model's evaluation calculates the Mean Absolute Percentage Error (MAPE) as an accuracy indicator. The evaluation results show that although SARIMA can recognize seasonal patterns in raw material consumption, the prediction accuracy varies, with the best MAPE value being 16% and the highest being 34%. This indicates that external factors, such as market dynamics, government policies, global price fluctuations, and internal variables such as production schedules and customer demand, need to be considered to improve the model's precision. Overall, the application of SARIMA in this context provides a strategic contribution to supply chain management in the manufacturing industry, particularly in anticipating raw material needs, reducing uncertainty, and supporting more efficient and adaptive data-driven decision-making.
Evaluating User Experience in a Microservices-Based E-Learning Platform for Technopreneur ship with the UEQ Lokapitasari, Poetri Lestari; Patmanthara, Syaad; Ashar, Muhammad; Kurniawan, Fachrul
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.946

Abstract

This paper evaluates the user experience of a microservices-based e-learning platform created for technopreneurship education using the User Experience Questionnaire (UEQ). Microservices present new chances to improve system performance, dependability, and learner involvement when educational systems choose modular and scalable designs. The study presents a benchmarking strategy by contrasting the newly created platform with two extensively utilized commercial platforms, Shopee and Tokopedia, which both use scale microservices. Fifty undergraduates participated in the study and evaluated six fundamental UX dimensions: attractiveness, perspicuity, efficiency, dependability, stimulus, and novelty. Quantitative research shows that the e-learning system works well in terms of pragmatic quality (clarity, efficiency, and reliability) and hedonic quality (stimulus and creativity). Comparatively, in perspicuity and efficiency, T-test comparisons reveal statistically significant benefits of the e-learning platform over Tokopedia; similarly, in stimulation and novelty, over Shopee. These findings imply that the microservices-based design improves emotional involvement and perceived innovation in the learning environment and supports functional performance. The study indicates that tools usually used in commercial environments allow one to assess user experience in education effectively. It also emphasizes how the design of learner-centred digital platforms can be guided by benchmarking against industry systems. The results provide helpful information for teachers trying to match educational technologies with user expectations moulded by actual digital experiences and for e-learning developers. 

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