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Dahlan Abdullah
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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 79 Documents
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Search results for , issue "Vol 5, No 2 (2025)" : 79 Documents clear
Bibliometric Analysis Online Marketplace Analysis Asyahuri, Sofiyan; Setiawan, Adi; Syifaudin, Syifaudin
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.854

Abstract

Online marketplaces have revolutionized the world of modern commerce by offering a digital platform that enables transactions without the need for individual website management. This study aims to analyze the influence of marketplaces on consumer behaviour, business strategies, and digital economic transformation. The study uses a qualitative approach with a historical analysis method, examining 1,230 scholarly articles published between 1961 and 2024. The results show that factors such as big data, social media, and consumer personalization play an essential role in the success of marketplaces. However, key challenges include competition in the market, customer data management, and logistical constraints, all of which require continuous innovation. Through network visualization, opportunities for further research on subthemes, such as "customer experience" and "new economy," were identified. "This study provides strategic insights that can improve the efficiency and competitiveness of marketplaces in the global digital ecosystem.
Student Learning Style Decision-Making System Using the Multi-Attribute Utility Theory Method at SMA Negeri 1 Jangka Munawarah, Munawarah; Fuadi, Wahyu; Aidilof, Hafizh Al Kautsar
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.842

Abstract

Education plays a vital role in shaping individual development and national progress. One key factor influencing learning effectiveness is students' learning styles, which determine how individuals absorb, organize, and process information. Understanding these differences is crucial for designing effective teaching methods. This research develops a Decision Support System (DSS) to determine student learning styles at SMA Negeri 1 Jangka using the Multi-Attribute Utility Theory (MAUT) method. MAUT is chosen for its ability to evaluate multiple criteria, convert them into numerical values, and systematically identify the most suitable learning approach. The alternatives in this study include Project Based Learning (PBL), Problem-Based Learning (PrBL), Inquiry-Based Learning (IBL), Discovery Learning (DL), and Contextual Teaching and Learning (CTL). The MAUT analysis considers five criteria: student activeness, material understanding, collaboration, initiative and creativity, and teacher-student communication. The research stages include literature study, data collection, system and database design, MAUT implementation, and system evaluation. The results, based on MAUT calculations, show that Inquiry-Based Learning (IBL) scores the highest at 13.611, followed by Discovery Learning (DL) at 13.018, Problem-Based Learning (PrBL) at 12.975, Contextual Teaching and Learning (CTL) at 12.929, and Project Based Learning (PBL) at 12.558. This system assists educators in designing personalized learning strategies that align with students' strengths. Leveraging data-driven analysis enhances education quality, fosters a student-centred learning environment, and improves academic performance and lifelong learning habits.
Digital Marketing Data Mapping using bibliometric Analysis Maulana, Muhammad Rafli; Irawan, Ade; Setiawan, Adi; Agustina, Agustina
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.849

Abstract

This research examines the importance of digital data marketing as a response to technological advances and changes in the macro environment. The main focus of this research is the role of technologies, such as big data, artificial intelligence (AI), and predictive analytics, in driving successful marketing strategies, particularly for small and medium-sized enterprises (SMEs).To achieve this goal, the researcher used a qualitative research method with a historical approach, aiming to identify trends and developments in the relevant literature. In addition, bibliometric analysis was applied with the help of the VOSviewer tool. This analysis observed a significant growth in the study of digital data marketing. From the search using Publish or Perish covering the period of 1951 to 2025, a total of 1. 354 relevant articles were found. A focus on keyword co-occurrence revealed 6,260 keywords related to digital data marketing. After filtering the keywords into those that appeared at least three times and eliminating less relevant terms, 284 were found and divided into 16 clusters. This bibliometric analysis provides valuable insights for developing digital data marketing research through clear visualization of trends.
Mapping Marketing Communication Using Digital Media Muflihah, Euis; Fadhillah, Jihan; Setiawan, Adi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.855

Abstract

Digital marketing communications mapping involves analyzing marketing messages spread across various digital platforms. To gain a better understanding of customer behavior. The purpose of this research is to identify articles that examine the role of marketing communication mapping products using digital media and provide an understanding of mapping marketing as a creative approach to marketing. Additionally, this research seeks to present and explain mapping studies relevant to the theme. Similarity Visualization (Vosviewers) is an application used in this study to combine qualitative methodologies with bibliometric techniques. In order to find articles through Publish or Perish, users entered keywords like search engine marketing, influencers, affiliates, advantages, disadvantages, display advertising, customers, social media, digital media, and digital channels. A total of 604 articles were found, which VosViewer then processed. The analysis results suggest that scientific mapping and the potential for further research on mapping marketing could serve as reference variables for future academics in their articles.
Electre Method Decision Support System for Concrete Type Selection in Building Structures Prasiwiningrum, Elyandri; Rasna, Rasna; Heka Ardana, Putu Doddy; Nugroho, Fifto; Aini, Qurrotul
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.843

Abstract

Choosing the correct type of concrete in building construction is a crucial step that significantly affects the structure's quality, durability, and safety. Concrete, as the most widely used building material, has various types with different characteristics, such as compressive strength, tensile strength, modulus of elasticity, and durability. During this time, people who make concrete often ignore the strength of the concrete itself. They do not care what will happen if the manufacture of concrete is not by the recommended concrete construction. Concrete is the primary material for constructing a building such as a building. The quality of concrete is determined by its constituent materials, which include hydraulic cement, coarse aggregate, fine aggregate, water, and other additives. The concrete mix determines the strength of the concrete. If the building is built with unsuitable concrete, it will be quickly destroyed during natural disasters such as earthquakes. Based on this, the concrete type selection must be precise and accurate. Decision Support Systems are used in this research to provide additional input to decision-makers. Decision support systems can deliver maximum results by using algorithms or methods. The Electre method is one of the multicriteria decision-making methods based on ranking by pairwise comparisons of existing alternatives based on appropriate criteria. Overall, this research is expected to significantly improve the quality of decision-making in selecting concrete types, resulting in a safer, more durable, and more efficient building structure. The results obtained after inputting criteria values and alternative values are concrete types such as reinforced concrete, precast concrete, and lightweight concrete.
Study of the Effect of Post Weld Heat Treatment on the Bending Strength of Weld Joints in SMAW and GMAW Methods in Root Bend Areas and Face Bend on ASTM A106 Grade B Paskel, M. Piere Sam; Ariyon, Muhammad; Fitrianti, Fitrianti; Herawati, Ira; Sebayang, Alexander; Tarigan, Efrata; Idhamkamil, Idhamkamil; Tarigan, Liwat
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.850

Abstract

This study evaluates the effect of Post Weld Heat Treatment (PWHT) on the bending strength of raw materials and welding joints using SMAW and GMAW welding methods. Tests were conducted on root and face bends to compare bending strength before and after PWHT treatment. The test results show that in the root bend area, the base material without PWHT has a bending strength of 3983.16 MPa, while in SMAW and GMAW welding, the bending strength is 3788.39 MPa and 2695.96 MPa, respectively. After PWHT was applied, the bending strength of the base material increased to 4739.76 MPa, while that of SMAW and GMAW welding increased to 4131.62 MPa and 5193.39 MPa, respectively. In the face bend area, the base material without PWHT showed a bending strength of 3077.70 MPa, with SMAW and GMAW welding producing bending strengths of 2654.28 MPa and 2259.32 MPa, respectively. After PWHT, the bending strength of the base material increased to 3289.05 MPa, while SMAW and GMAW welding recorded 2641.47 MPa and 3498.07 MPa, respectively. This study's results indicate that PWHT significantly improves bending strength, especially in the base material and weld joints in the root bend area.
Application of the C5.0 Algorithm to Determine the Eligibility of BPJS Contribution Assistance Recipients in the National Health Insurance Program Furqan, Muhammad; Nurdin, Nurdin; Suwanda, Rizki
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.856

Abstract

The National Health Insurance (JKN) is a government program to provide health insurance to all Indonesian citizens. In its implementation, determining the eligibility of premium assistance recipients still faces challenges regarding accuracy and efficiency. This study aims to implement the C5.0 algorithm in classifying the eligibility of JKN premium assistance recipients and measure the accuracy of the resulting classification model. The method used is the C5.0 algorithm with the boosting technique with 10 trials and global pruning, with a 70:30 training and testing data split ratio, minimum cases of 2, and confidence level of 0.2. The research results show that the classification model performs excellently with an accuracy rate of 94.27%, precision of 83.78%, Recall of 90.29%, F1-Score of 86.92%, and AUC of 92.81%. The Specificity, reaching 95.34%, demonstrates the model's reliability in identifying ineligible participants for assistance. With a total algorithm execution time of 0.2224 seconds, these results indicate that the C5.0 algorithm can be implemented as an effective decision support system in determining the eligibility of JKN premium assistance recipients.
Investigating the Role of Traditional Foods in Promoting Nutritional Well-Being Among Rural Populations Nurhayati, Ai
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.846

Abstract

Traditional foods play a crucial role in maintaining nutritional well-being, especially among rural homemakers responsible for household food management. This study examines the socio-cultural, economic, policy, and technological factors influencing traditional food consumption in rural Bandung. A mixed-methods approach was employed, combining quantitative surveys (n=150) and qualitative interviews (n=30) to assess household food consumption patterns, economic accessibility, and awareness of traditional food benefits. Statistical analyses, including Chi-Square tests and ANOVA, were used to evaluate the relationship between income levels and traditional food consumption behaviour. The findings indicate that low-income households rely more on conventional foods due to affordability, while higher-income groups consume them less frequently despite greater nutritional awareness. Additionally, modernization and urbanization have declined traditional food consumption as processed foods become more accessible. Government interventions, such as food subsidies, school nutrition programs, and traditional food certifications, have been identified as key factors in sustaining traditional food systems. Furthermore, digital technology and e-commerce offer new opportunities for small-scale traditional food producers to expand their market reach. However, challenges such as limited digital literacy and market competition require targeted interventions. This study underscores the importance of integrating policy support, education, and digital innovation to preserve traditional foods. Ensuring their sustainability will require collaborative efforts between governments, communities, and the private sector. By doing so, traditional foods can continue contributing to food security, cultural identity, and public health in Indonesia's rural communities.
Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types Rasna, Rasna; Lubis, Adyanata; Suryadi, Dikky; Bani, Alexius Ulan; Nugroho, Fifto
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.851

Abstract

Arabic letter writing is known as khat art. Khat is classified into many categories and can be identified into three types: Khat Naskhi, Khat Qufi, and Khat Farisi, per the rules established in the art of Khat. Arabic letters, the subjects of khat art, evolved following the region where it first appeared. As a result, the Qufi style, for instance, marked the start of the evolution of Khat in the tenth century. Previously somewhat rigid, Khat became more fluid and beautiful, although it remained angular. Subsequently, the art of Sulus, Naskhi, Raiham, Riqa, and Tauqi evolved and exhibited the form of Khat, cursive (italic)—artificial neural network-based khat art type recognition by selecting the Kohonen
Data Mining Analysis of Commodity Distribution in Central Aceh Through an Integrated Auction Market System Using the Android-Based Association Rule Mining Method Amelia, Dita; Abdullah, Dahlan; Fitri, Zahratul
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.834

Abstract

Commodity distribution in Central Aceh faces inefficiencies due to lengthy distribution chains and limited price control, which often leads to higher costs for consumers and lower profits for farmers. To address these issues, this study develops an integrated auction market system based on Android, utilizing the Association Rule Mining (ARM) method to optimize the distribution and pricing of commodities. ARM is a data mining technique that uncovers high-frequency patterns in transaction data. By applying ARM with the apriori algorithm, the system identifies key associations among commodities, allowing for more efficient and targeted price recommendations. The system calculates the highest bid for each commodity and recommends optimal pricing strategies to sellers based on frequent pattern analysis, improving transparency and reducing distribution inefficiencies. Testing and implementation of this system indicate that it successfully reduces distribution costs while increasing the effectiveness and speed of the auction process. Overall, the Android-based auction market system shows promise as a tool for enhancing distribution efficiency, optimizing bid values, and supporting local economies in Central Aceh through more equitable commodity pricing. The final result of this process resulted in four association rules based on predefined parameters, namely a minimum support of 20% and a minimum confidence of 50%. These rules indicate that 60% of the transactions in the Integrated Auction Market system that include Cassava also include Carrots. In other words, a bidder who buys Cassava has a 60% probability of also buying Carrots. This rule is significant as it shows that 20% of all transactions recorded in the system contain both items. This analysis provides important insights into the relationship patterns between items that can be used to provide item recommendations based on purchasing patterns.

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