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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 35 Documents
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Search results for , issue "Vol 4, No 4 (2024)" : 35 Documents clear
Geographic Information System of Early Childhood School Mapping Using Android-Based Dijkstra Algorithm Rasna, Rasna; Irjii Matdoan, Moh Rahmat; Yuntina, Lily; Salat, Junaidi; Setiawati, Eka
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.650

Abstract

The PAUD school mapping geographic information system (GIS) is an innovative Android-based application designed to efficiently assist users in finding the closest route to PAUD schools. By leveraging GPS technology, this system displays a detailed geographic map that guides users effectively through their surroundings. At the core of its functionality is the Dijkstra Algorithm, which ensures the calculation of the shortest path to the desired location, making navigation straightforward and reliable. The design process employs UML (Unified Modeling Language) to create a clear structure and user-friendly interface, enhancing the overall user experience. Developed in Java and supported by the Android Studio platform, this GIS provides essential information about PAUD addresses, their statuses, and available facilities. This comprehensive approach allows users to make informed decisions about educational opportunities for their children. The system has undergone rigorous testing to validate its effectiveness. This practical application demonstrates the system's capability in real-world scenarios and highlights its role in improving access to early childhood education. Furthermore, the PAUD mapping geographic information system is a valuable community resource. By delving into geographic data and providing actionable insights, it aims to bridge gaps in educational access. Ultimately, this GIS is an essential tool for parents and educators, facilitating informed choices and enhancing the journey toward quality education for young learners. Its integration of modern technology with educational accessibility makes it an ultimate resource in fostering early childhood development.
Analysis of Factors Affecting the Effectiveness of Road Maintenance in Pidie Regency Yanis, Muhammad; Hamzani, Hamzani; Alkhaly, Yulius Rief
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.610

Abstract

Land transportation infrastructure as a medium of accessibility for various community needs that have an important role in economic growth, socio-cultural, political, and other factors of a region or area. In order for road infrastructure to function optimally in improving these factors, several important aspects need to be considered, including having user safety and comfort, environmentally friendly. Land transportation infrastructure is not only a means of mobility but also a tool to achieve better social and economic welfare for the entire community. Given the strategic role of land transportation infrastructure, namely roads, it is very necessary to have security and comfort values so that the efficiency and effectiveness of the infrastructure are indicators to be evaluated. The effectiveness and efficiency of roads are greatly influenced by many factors including road conditions and age, land use, social, economic and policy. community and related parties. The purpose of this study is to analyze the dominant factors that influence the effectiveness of road maintenance in Pidie district. This study uses a qualitative approach to analyze data obtained from respondents which are primary data and the use of SPSS as an analysis tool so that it becomes numerical. The results obtained for the instrument items used are reliable and trustworthy, this is based on the Cronbach's Alpha (CA) value obtained in the range of 0.50 to 0.70. Based on the results and discussions obtained, it can be concluded that all proposed instrument items provide a significant contribution to determining the effectiveness of road maintenance decisions in Pidie Regency with the highest influence instrument factors being economic instruments and road conditions. The coefficient value obtained for the two factors is 5.571 for the economic instrument and followed in second place, namely the road condition instrument item with a coefficient of 3.603.
Sentiment Analysis of the MK Decision Trial of the Result of the 2024 President and Vice President General Election on Social Media X Using the Support Vector Machine Method Anggara, Aji; Nurdin, Nurdin; Meiyanti, Rini
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.591

Abstract

Support Vector Machine (SVM) is a method of machine learning often used in classification and regression issues, especially in the classification of commentary reviews on social media such as Twitter. The Constitutional Court (MK) has the authority to resolve disputes resulting from the general election, including the 2024 presidential election. As an institution that maintains fairness and transparency in the democratic process, the Constitutional Court's decisions are often at the center of public attention and debate, especially on social media. In the 2024 general election, various allegations of fraud led to protests from several parties who felt aggrieved. The final and binding Constitutional Court's decision is expected to resolve the conflict that arises, but it often does not satisfy all parties, causing political and social tensions. This conflict can be reflected through public opinion expressed on social media, such as Twitter, where various responses and sentiments to the decision are essential analysis materials. This Research uses the Support Vector Machine (SVM) algorithm with a dataset of 1383 review comments divided by an 80:20 ratio for training and testing. The system was implemented using the Python programming language, with evaluations showing the highest accuracy at 61.00%, precision at 61.00%, and recall at 62.00%. This study aims to analyze public sentiment regarding the Constitutional Court's decision using the SVM method and identify the tendency of public opinion as positive, negative, or neutral. Through this study, it is expected that a deeper understanding of the public's perception of the Constitutional Court's decision is obtained. In addition, this Research is likely to contribute to developing sentiment analysis methods in the future and provide a basis for recommendations for the Constitutional Court in handling election result disputes better.
Pattern Recognition of Chinese Characters Using the Sokal Sneath Four Method Rasna, Rasna; Sah, Andrian; Nur Hidayat, M. Ali; Jusmawati, Jusmawati; Tonggiroh, Mursalim
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.668

Abstract

Pattern recognition is a discipline that aims to classify or describe objects based on their characteristics, quantitative measurements, or critical properties. Where a pattern is defined as an entity that is initially undefined, it can be identified and named through quantitative analysis. Pattern recognition can be applied to various fields, such as handwriting recognition, face recognition, eye recognition, skin, and image processing. One example of the application of pattern recognition is character recognition in letters used in learning. In this research, the digital image used as input comes from a two-dimensional image obtained through a digital camera. The digital image describes the light intensity in light and dark areas in the form of pixels and provides information about the object's color. To support the process of recognizing alphabet letters, which in this case are specifically Chinese alphabet letters, it will be assisted by using the Sokal Sneath Four Method. This significant mathematical approach helps create a compatible and accurate system for recognizing letter patterns through intensive data training. This method involves a series of steps, including data preprocessing, feature extraction, and classification, to train the system to recognize Chinese characters. The more training given to the system, the higher its accuracy in recognizing letter patterns, especially Chinese alphabet letters. The test results show that this Chinese alphabet letter pattern recognition system has a success rate of 65%, with a failure rate of 35%. Nevertheless, these results show room for further improvement in the algorithms used and the addition of training data to improve system performance and accuracy.
Information Technology Governance Analysis Using COBIT 2019 Framework at Bank Mandiri Girian Bitung Branch Wulyatiningsih, Toetik; Mokodaser, Wilsen Grivin; Mambu, Joe Yuan
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.642

Abstract

The advancement of information technology (IT) has become essential for organizations, including Bank Mandiri, where it underpins critical business functions. This study examines the implementation of IT governance at Bank Mandiri’s Girian branch using the COBIT 2019 framework, a comprehensive tool for managing IT processes effectively. Through a qualitative case study approach and interviews with key stakeholders, the study analyzes 40 IT processes across 11 design factors, with each factor scored between 75 and 100 to prioritize their importance. High-priority processes, such as Managed Solutions Identification and Build (BAI03), Managed Requirements Definition (BAI02), Managed IT Changes (BAI06), and Managed Projects (BAI11), are identified as critical to operational stability, customer satisfaction, and strategic alignment. These objectives play a fundamental role in resource allocation, supporting seamless IT operations and enhancing customer service. Processes with lower scores are deprioritized, allowing strategic focus on high-impact areas. This prioritization framework helps ensure efficient resource use, aligns IT governance with organizational goals, and reinforces the branch’s commitment to achieving reliable, customer-focused IT management. The study underscores the indispensable role of IT in supporting Bank Mandiri’s operations, where any IT disruption could significantly impact business continuity and customer satisfaction.
Workload Measurement Using the Cardiovascular Load Method and Defense Research Agency Workload Scale Kurniawan, Dicky; Akmal, Syarifah; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.608

Abstract

Workload is a collection of tasks set to be completed within a specific time. The workload can be broken down into "qualitative" (too much or too little) or "quantitative" (too much or too little), which occurs when people are unable to complete tasks or if they do not utilize the abilities they have in achieving a particular job. This study aimed to determine the workload of workers engaged in the sale of fresh or cut chicken meat. Cardiovascular Load is an estimate to determine the classification of workload based on the increase in work pulse compared to the maximum heart rate. The Defense Research Agency Workload Scale (DRAWS) method is a multidimensional technique that involves participants through subjective questions and assessments consisting of four workload dimensions: input demand, central demand, output demand, and time pressure. The results showed that the workload pulse using Cardiovascular Load, the level of fatigue based on workload obtained at the chicken slaughter station by worker 1 was 44.77%, and worker 2 was 41.11% with the category of improvement needed. At the chicken cleaning station, worker 1 was 44.13%, and worker 2 was 47.43%, with the category of needed improvement. At the chicken cutting station, worker 1 was 43.73%, and worker 2 was 45.85%, with the category of needed improvement. The study's DRAWS method results showed that at the chicken slaughtering station, worker 1 was 84.25%, and worker 2 was 87.05% with the overload category. At the chicken cleaning station, worker 1 was 86.75%, and worker 2 was 84.20% with the overload category. At the chicken cutting station, worker 1 was 85.75%, and worker 2 was 81.30%, with the overload category. This means that six respondents felt a high mental burden, so improvements are needed to reduce the impact of the cognitive workload of workers. The upgrades provided include the provision of chairs around the work area, especially at the chicken slaughtering station, so that workers can sit and rest for a moment to reduce the physical workload experienced by workers.
Building a Web Crawler for Text Data Indexing on Online Newspaper Web Hakim, Jamaludin; Sah, Andrian; Nurhayati, Siti; Ciptaningrum, Wahyu; Suryo Sasono, Damar
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.677

Abstract

The Internet has become a vast repository of information, often filled with distractions that can hinder the user experience. News content, for example, is usually interspersed with advertisements that interrupt the flow of reading. In addition, the fast pace of news publication is also a challenge, with potentially more than 50 new articles appearing in 20 minutes. This high-speed data flow is valuable for various applications, including Social Media Analytics Services. In this context, the speed and efficiency of data acquisition (crawling) and processing (scraping) are critical. These processes must be optimized to ensure comprehensive data collection without gaps, focusing on the latest information. To meet this need, we propose developing an application capable of capturing news data in its entirety, minimizing the risk of missing important information. At the core of this solution is a web crawler- a sophisticated program designed to automatically browse the hyperlink structure of the web, systematically downloading linked pages to local storage. This crawling methodology is often the basis for web mining initiatives and search engine development. Since web information is distributed across billions of pages hosted on millions of servers worldwide, our application utilizes the PHP programming language to capture and process this data effectively. The main goal is to present pure news content to users without any irrelevant elements. We use a Data Flow Diagram (DFD) to model the system architecture and data flow. This approach provides a clear visualization of how web users can navigate through hyperlinks to efficiently access the desired news information. By implementing this system, we aim to improve the user experience of consuming news content, facilitate more effective data analysis, and contribute to the broader web information search and processing field.
Community Awareness and Participation for Land and Forest Fire Prevention and Implementation of Lancang Kuning Nusantara System Application in Toba District, North Sumatra Province A. Rampengan, Stevi; Herwanto, Herwanto; Rajagukguk, Jenni Ria; Suwanda, Suwanda
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.585

Abstract

This study employs a sociometric analysis of Community Concern and Participation in Implementing the Lancang Kuning Nusantara Application for Forest and Land Fire Prevention in Toba Regency, Indonesia. With a sample of 401 respondents, the study aims to comprehensively understand social interactions and community engagement in this context. Results indicate that the perception score (X(i.1)) and participation score (X(i.2)) are high or significant, reflecting positive community awareness and active involvement in fire prevention activities. However, the acceptability score (X(i.3)) is low or insignificant, suggesting potential dissatisfaction or skepticism regarding the effectiveness or implementation of current programs. Furthermore, standard deviation analysis reveals that variability in respondent ratings is generally within control, with only 2 out of 15 testing points showing high standard deviation, while 13 are within acceptable limits. Nevertheless, the proportion of respondents who rate low (PRMR) exceeds the desired threshold of 10% across all variables, indicating that many respondents have low evaluations. These findings suggest a need for improved communication, education, and potential adjustments to enhance the acceptability and effectiveness of the fire prevention initiatives and the Lancang Kuning Nusantara System application.
Revitalization of Teba Space Design to Preserve Cultural and Environmental Sustainability in Traditional Balinese Houses Kusuma Putra, I Gusti Ngurah Bagus; Nutrisia Dewi, Ni Made Emmi
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.655

Abstract

Teba, being an essential component of traditional Balinese dwellings, holds a significant role in community assignments, historical and societal contexts of Balinese culture, and ecological sustainability. Nevertheless, the process of urbanization and shifts in lifestyle have resulted in a decrease in Teba spaces and their conversion into less ecologically sustainable regions. This article explores initiatives to rejuvenate the design of Teba spaces in traditional Balinese houses to uphold a harmonious coexistence between environmental and cultural conservation in contemporary times. This research explores techniques and design solutions for Teba places that can effectively adapt to evolving circumstances while upholding traditional values. By doing so, it seeks to promote both environmental and cultural sustainability. This study employs a qualitative and ethnographic methodology to investigate ways for revitalization. These strategies involve the utilization of natural and local materials, the implementation of sustainable design techniques, and the creation of flexible and multifunctional spatial arrangements. The findings suggest that the restoration of Teba contributes to preserving biodiversity and enhancing air quality, reinforces cultural identity, and promotes sustainable tourism development. Integrating traditional techniques with modern technologies can optimize the functionality of Teba as both a productive green area and a center for cultural preservation. Hence, cooperation among architects, government entities, and the community is crucial in developing inventive and sustainable design solutions that enhance the cultural heritage of Bali within evolving circumstances.
Expert System For Diagnosis of Mental Health Disorders in Students Using Case-Based Reasoning Method With a Web-Based Positive Psychology Approach Bancin, Udurta; Bustami, Bustami; Rosnita, Lidya
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.592

Abstract

Mental health issues among students have become a significant concern affecting their quality of life and academic performance. An effective expert system is needed to diagnose and provide appropriate interventions. This research develops a web-based expert system that utilizes the Case-Based Reasoning (CBR) method combined with a positive psychology approach to diagnose mental health disorders in students. The CBR method identifies similarities between new and previous cases, while the positive psychology approach focuses on individual strengths and potential for growth. The system integrates a database of student mental health cases and CBR algorithms to produce relevant diagnoses. This study investigates four types of mental health disorders: panic, anxiety, stress, and depression. The method used for data analysis is Case-Based Reasoning. The diagnosis results are based on calculations from symptom choices within the system, where each symptom has a weight. The highest similarity calculation obtained from past cases is used as a solution to address the problem. System testing, based on expert knowledge with 15 test data samples categorized by mental health disorders and 38 symptoms, achieved an accuracy rate of 85%.

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