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Dahlan Abdullah
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INDONESIA
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 593 Documents
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Effect of Carbon Nanotubes and Graphene Oxide on the Hydration Characteristics and Compressive Strength of Cement Mortar with High Volume Fly Ash Maizuar, Maizuar; Maulani, Emi; Usrina, Nura; Ersa, Nanda Savira; Sofyan, Sofyan; Mahmudy, Ash Shiddiq; Prasetia, Gigih
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.648

Abstract

High-volume fly ash (HFVA) in cement mortar has gained attention due to its potential to reduce environmental impact and enhance sustainability. However, HVFA mortar often exhibits reduced initial compressive strength compared to conventional mortars. Incorporating carbon nanotubes (CNT) and Graphene oxide (GO) has been shown to enhance the mechanical properties and microstructure of the mortar, which can overcome the shortcomings of HVFA. This study investigates the effect of CNT and GO on compressive strength and cement hydration of HVFA mortar. This study used fly ash as a 60% cement replacement, with 0.01% CNT and GO contents of 0.01%, 0.02%, 0.03%, 0.04%, and 0.05%. Compressive strength tests were performed at 3, 7, and 28 days of curing. The results showed that adding CNT and GO improved the compressive strength by 15.4% over the control mortar at 0.01% CNT and 0.03% GO. Most importantly, incorporating CNT and GO mitigated the typical reduction in initial compressive strength, with around a 15% increase observed at 3 and 7 days compared to the control mortar. The cement hydration characteristics were analyzed using X-ray diffraction (XRD), which revealed the presence of various crystallization phases, including calcium silicate hydrate (C-S-H), calcium aluminate silicate hydrate (C-A-S-H), quartz, portlandite, calcium carbonate, and ettringite. Adding CNT and GO to HVFA mortar significantly enhances its mechanical properties. It promotes the formation of complete chemical bonds in the cement hydration process, improving the mortar's overall performance.
Herbal Plant Leaves Classification Using Convolutional Neural Network Models: A Literature Review Fauzi, Alfharizky; Haryatmi, Emy; Riyadi, Tri Agus; Murniyati, Murniyati
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.723

Abstract

Plants are essential to human beings because plants are considered most as foods. Plants can be used for food ingredients, medical purposes, and industrial applications. People inspect plants using traditional methods, such as using the naked eye, which can be time-consuming and expensive. Therefore, the effectiveness and high quality of automated crop identification classification systems are needed for adequate crop protection. This study aims to identify and classify nine plant species using different datasets, focusing on transfer learning from models trained on plant leaf datasets. Most research has shown that increasing the dataset size would significantly improve classification accuracy. The accuracy of the first test using the modified N1 classification model was 99.45%. In the second experiment, the accuracy of the N2 model was 99.65%. The accuracy of the N3 model, despite being slightly less accurate than AlexNet, was 99.55%, and it performed better, while the accuracy of AlexNet was 99.73%. Compared to the AlexNet model, the proposed model performed better and required less training time. The N1 model reduced the training time by 34.58%, the N2 model by 18.25%, and the N3 model by 20.23%. The N1 and N3 resulted in the same size, namely 14.8MB, and the compactness was 92.67%. The size of the N2 model was 29.7MB, and the compactness was 85.29% compactness. The proposed models provide more accuracy and efficiency in classifying plant leaves and can be used as a standalone mobile application that benefits farmers.
Using Quizizz as an Interactive Learning Media to Improve Cognitive Values in Elementary School Students Narawati, Arlina Yuli; Supriadi, Didi; Mulyanto, Rahmat
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.637

Abstract

Learning is a complex process that occurs in a person's life. If there is contact between humans and their environment, individually or in groups, then learning will occur. Students use learning media as an intermediary tool to convey messages or information. Creative media can stimulate students' interest in the lesson. This study aims to investigate the application of quizzes in the digital era's learning process and assess their impact on enhancing students' cognitive values. This study uses a research and development method. Research indicates that to support the teaching and learning process effectively, web-based, application-based learning media must meet the standards of validity, practicality, and effectiveness. In this case, Quizizz, the developed learning medium, underwent material validation and technical evaluation stages to ensure that the presented content aligned with the curriculum and learning objectives. This validation also encompasses the suitability of the material's content and the application's user-friendliness. In addition to the validity aspect, the practicality of the media is also an essential factor in this assessment. Based on the observations and user responses, students and teachers responded positively to Quizizz as a learning medium. The ease of access and use of the available features, such as interactive questions and various quiz modes, make learning more engaging and not boring. This shows that Quizizz is practical and can increase students' interest in learning through a more dynamic approach. Finally, the effectiveness of Quizizz as a learning medium is evident in the results of observations and responses from students and teachers during the learning process. Students looked more enthusiastic and motivated to actively participate in the quizzes, which helped them understand the material better. The provided results analysis feature also aids teachers, enabling more accurate assessment of student learning outcomes. Quizizz is a valid, practical, and effective medium for interactive learning.
Financial Management System for Final-Year University Students Implementing a Rule-Based Method on the Android Platfor Azzahra Iskandar, Farah; Fikry, Muhammad; Rosnita, Lidya
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.703

Abstract

Final-year students face significant financial challenges due to limited income and low financial literacy. This often leads to uncontrolled spending, lack of awareness about financial habits, and imbalanced income and expenses. This study proposes a rule-based financial management system to help students organize, monitor, and analyze their finances. The analysis shows that students' main expenses are food, transportation, and housing, with financial risks arising from irregular financial recording and overspending. The proposed system includes features like expense categorization, budget limits, monthly reports, notifications for unusual spending, and reminders to record finances. Applying a rule-based approach, the system offers personalized recommendations, such as budget control for specific categories and early warnings for disproportionate expenses. This application aims to improve financial awareness, help students prioritize spending, and reduce financial risks. It also serves as a financial education tool to support students in achieving financial stability as they transition into professional life.
The Role of Principal Leadership Management as a Driving Force in Implementing the Independent Curriculum Using AI Yuni, Sri; Saryanto, Saryanto; Rejokirono, Rejokirono
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.623

Abstract

In the millennial era, characterized by constant change and progress, schools that thrive possess specific qualities and characteristics. Education not only functions as a place to transfer knowledge but also as a place to develop students' skills, character, and critical thinking abilities. In this increasingly complex world, educational institutions must adapt curricula and teaching methods that are relevant and able to meet students' diverse needs. Schools that innovate and provide captivating learning experiences will be better able to attract the attention of students and parents. In addition, educational institutions must realize the importance of building an identity and characteristics that distinguish them from other schools. This includes developing superior programs, adequate facilities, and a positive and supportive learning environment. This study investigates the role of principal leadership in implementing the Merdeka Curriculum while integrating artificial intelligence (AI) in a kindergarten/early childhood education environment. Through a qualitative approach, this study explores the experiences of a principal and staff at TK IT Tunas Mulia. Findings indicate that principals play a critical role in fostering a culture of innovation and adaptation to AI, providing the necessary training and resources for teachers to utilize AI tools effectively, and collaborating with stakeholders to ensure successful implementation. However, the study has identified challenges such as limited teacher proficiency in AI and the need for more comprehensive AI-integrated curriculum materials. While principal leadership plays a critical role, the study concludes that further support and professional development are necessary to fully harness the potential of AI in improving early childhood education.
Application of K-Medoids Clustering Method on Disease Clustering Based on Patient Medical Records Fatika, Dian; Bustami, Bustami; Afrillia, Yesy
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.679

Abstract

Dr. Fauziah Bireuen Regional General Hospital (RSUD) faces daily challenges in managing the ever-increasing medical record data. Currently, the medical record data only consists of reports containing information on the number of patients and their diseases, which are then archived without further processing to generate valuable information. This research aims to cluster diseases based on patient medical records using the K-Medoids Clustering method, thereby providing information on the patterns of disease spread in various regions of the Bireuen Regency. The data used are patient medical records from RSUD Dr. Fauziah Bireuen from 2021–2023, focusing on five common diseases: stroke, hypertension, schizophrenia, dyspepsia, and pneumonia. We conducted Clustering in 17 sub-districts in Bireuen Regency using the K-Medoids method and determined the optimal number of clusters using the Elbow method. The research results show that the K-Medoids method successfully grouped each disease into 3 clusters: high, medium, and low. The results showed that the K-Medoids method successfully grouped each disease into 3 clusters: high, medium, and low. The cluster distribution for stroke disease consists of 7 sub-districts in the high cluster, 7 in the medium, and 3 in the low. Hypertension disease consists of 6 sub-districts in the high cluster, 3 in the medium, and 8 in the low. Schizophrenia disease comprises seven sub-districts in the high cluster, 8 in the medium, and 2 in the low. Dyspepsia disease includes six sub-districts in the high cluster, 2 in the medium, and 9 in the low. Meanwhile, pneumonia disease consists of 8 sub-districts in the high cluster, 5 in the medium, and 4 in the low.
The Role of Artificial Intelligence in Improving the Efficiency of the Company's Supply Chain Husein, Muh; Rajagukguk, Jenni Ria; Putranto, Kartiko Eko
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.596

Abstract

The development of technology, especially in the era of Industry 4.0, has significantly impacted various sectors, including supply chain management. Artificial Intelligence (AI), one of the leading technologies in Industry 4.0, has excellent potential to improve the efficiency and effectiveness of the supply chain. This study aims to identify the relationship between AI and the concept of supply chain management and analyze the practice of using AI to improve supply chain efficiency at PT. Pelita Media Nusantara. Using a descriptive-analytical method, this study examines various relevant literature and data. The results of the study indicate that the application of AI at PT. Pelita Media Nusantara has increased the supply chain's visibility, accuracy, and responsiveness. Implementing big data analytics, IoT sensors, and AI-based predictive systems allows companies to optimize procurement, production, and distribution processes. This case study also reveals that complex technology integration and the need for skilled human resources are the main challenges in implementing AI. This study provides important insights for academics and practitioners in developing more effective and efficient AI-based supply chain management strategies.
Analysis of the Choice of Transportation Modes from Lhokseumawe City to Medan City Using the Analytical Hierarchy Process Method Afdal, Muhammad; Ridwan, Teuku Muhammad; Malasyi, Syibral; Savira Ersa, Nanda; Burhanuddin, Burhanuddin; Fadhliani, Fadhliani; Chandra, Yovi
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.675

Abstract

Inter-provincial movement activities from Lhokseumawe to Medan are busy travel routes because land routes connect many cities. Minibusses and buses serve transportation needs across these cities. Travelers choose minibusses because of their convenience, fast travel time, and comfort. The bus mode also offers smooth and comfortable travel, making it a popular choice among travelers on the Lhokseumawe to Medan route. This research aims to determine the characteristics and percentage of transportation mode choices by travelers. The approach used is the analytical hierarchy process method. The results of the analysis showed that the percentage of travelers interested in choosing a particular mode resulted in 42% of passengers choosing the Hiace Minibus, 24% selecting the Sempati Star Bus, 20% choosing the Putra Pelangi Bus, and 14% selecting the Kurnia Bus. The criteria that influence the choice of transportation mode are convenience with a percentage of 22%, time with a percentage of 19%, comfort with a percentage of 16%, cost with a percentage of 15%, headway and safety with a percentage of 14%.
Education Character in the Era of Globalization: Facing the Challenges of the Modern World Herlina, Herlina; Arismunandar, Arismunandar; Tolla, Ismail
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.649

Abstract

Character education is a fundamental element in the education system, especially in the era of globalization, which brings cultural, social, and technological challenges. In Indonesia, character education faces various challenges, such as the influence of foreign cultures, individualism, and inequality in access to education. A values-based approach that centers on local culture is highly relevant to address these challenges. This strategy involves reinforcing traditional values through multicultural education and internalizing local cultural values at various societal levels, including families, schools, and communities. Studies have shown that integrating local values, such as tolerance, cooperation, and religiosity, can strengthen character education, making it more relevant to modern needs. Helius Sjamsuddin emphasized the importance of educational history as a foundation for building sustainable character education based on national culture. This study employs a literature review methodology as a scientific approach to collect, analyze, and synthesize information from various written sources. This study applied a descriptive approach. We collected data from multiple sources such as books, scientific journals, policy documents, articles, and research reports. The results of the analysis indicate that character education in Indonesia faces complex challenges due to globalization. These challenges impact both individuals and the education system, including the influence of foreign cultures, technology, and changes in students' mindsets. The proposed strategies include implementing local values, the positive utilization of technology, and the involvement of societal elements in the education process. Holistic-based character education can help the younger generation face global dynamics without losing their cultural and moral identity.
Supporting Application Fast Learning of Kitab Kuning for Santri' Ula Using Natural Language Processing Methods Zaman, Qamaruz; Safwandi, Safwandi; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.713

Abstract

Education in Islamic boarding schools is one of Indonesia's traditional forms of education that teaches Islamic religious teachings, including studying the yellow classic books as the primary source of spiritual learning. However, learning the Yellow classic book is often complicated by 'ula students (early level students) because Arabic is without harakat or lines, and the material studied is very complex. To overcome these challenges, this research aims to develop a yellow Islamic classic book learning support application for 'ula students using the Natural Language Processing (NLP) method. This application has an interactive chatbot feature that helps students understand the contents of the yellow book more effectively and enjoyably. The research method includes literature study, data collection, data processing, and system development using the Sparse Categorical Cross Entropy algorithm in Natural Language Processing to improve the accuracy of chatbot responses. This application provides an innovative solution by presenting an interactive learning experience that can be accessed anytime and anywhere, thus facilitating Santri learning outside the boarding school environment. The results show that learning for 'ula students with the Natural Language Processing method is very good and easy to understand. The test shows that the accuracy of the application reaches 100% with a low error value (loss), which is 0%. It can be recognized that the effectiveness of Natural Language Processing in supporting yellow book learning, maintaining the tradition of Islamic education in the digital era, and helping teachers and parents monitor the development of students.

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