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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
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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
Heigh Detection System Using Russel and Rao Method Hakim, Jamaludin; Tonggiroh, Mursalim; Nurhayati, Siti; Nur Hidayat, M. Ali; Sah, Andrian
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.v4i4.671

Abstract

Height detection is an exciting area of research with broad applications in fields such as construction, healthcare, and robotics, where measurements are still often done manually. This research aims to automate the height calculation process by developing a height detection system using image processing techniques, which offers improved accuracy and efficiency. The system that will be built works by capturing images of objects through a webcam and using the Russel Rao cluster analysis method to calculate height later. Borland Delphi 07 was chosen as the programming language because of its ability to handle image-processing tasks. This research draws on a thorough literature review of various books and articles, with the system operating in stages, starting with converting images to grayscale to simplify the data for more accessible analysis and then followed by applying Russel Rao's method for height measurement. However, the system is sensitive to environmental factors around the object. The system will perform best when there are no other objects near the target because when there are other objects nearby, it can cause the measurement line to shift and interfere with the results. The detection system requires a controlled environment with no foreign objects nearby for optimal performance. Despite these limitations, Russel Rao's analysis method achieved an accurate detection accuracy of approximately 65%, with three out of eight sample tests yielding correct measurements. While this shows room for improvement if more relevant research is to be done in the future, this system will build a strong foundation for further development in this field. Future enhancements could focus on refining the algorithm to increase detection accuracy, make the system more resilient in dynamic or cluttered environments, and expand its potential applications in various fields.
Identification of Smart Environment Readiness in Realizing Smart City Kotamobagu Nini, Wa; Anripa, Nuralfin; Alian, La Ode; Maulana, Muh Vikky
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.v4i4.646

Abstract

This study aims to identify the readiness of the innovative environment in realizing an intelligent city. A descriptive qualitative approach combined data collection techniques such as in-depth interviews, observation, and documentation. Primary data were obtained directly in the field through observation and interviews with diverse respondents. Secondary data were obtained from the Kotamobagu Environmental Service and the Kotamobagu PUPR Service. Data analysis was conducted through four stages: data collection, data reduction, data display, and conclusion drawing. The study results revealed that five innovative environment indicators were adequately met: the feasibility of water channels, irrigation channels, green space planning, water and air quality, and waste management systems. One indicator, the use of environmentally friendly energy resources, was not met. The study recommends that the Kotamobagu government develop policies or programs to build renewable energy resources to support the intelligent environment and realize Kotamobagu's smart city vision.
Sentiment Analysis of Google Maps User Reviews on the Play Store Using Support Vector Machine and Latent Dirichlet Allocation Topic Modeling Zahrah, Violita Aditya; Nurdin, Nurdin; Risawandi, Risawandi
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.v4i4.580

Abstract

These days, traveling is made easier by utilizing easily accessible online directions such as Google Maps. Google Maps provides real-time routes by displaying and presenting the closest routes that users can take. However, lately, the routes provided by Google Maps services often get users lost by presenting routes such as forests, narrow roads, and even dead ends. Therefore, this study aims to determine the level of user satisfaction and sentiment into two categories, namely positive and negative, based on reviews on the Google Play Store platform using the Support Vector Machine (SVM) algorithm and topic modeling using Latent Dirichlet Allocation (LDA) to find out the collection of topics that are the main topics of conversation by users regarding Google Maps services. The results of this study show that the SVM algorithm is feasible to use in sentiment analysis classification with an accuracy value of 86%, precision of 93%, recall of 53%, and f1-score of 52%. In addition, topic modeling is applied to generate coherence values for each topic, which shows that the higher the coherence value, the more specific the topic is. The highest coherence value generated in this study was two topic models with a coherence value of 35.15%, but this study took five with a coherence value of 33.39%. The five topic models to be applied in this study are selected because they have a good enough coherence value to identify the main topics and hidden topics in Google Maps user reviews with the Latent Dirichlet Allocation model. The topic model shows five aspects users often discuss: Google Maps route accuracy, system and service errors, navigation application directions, lost time history, and convoluted route provision.
Design and Testing of a Web-Based Student Information Management System Pasaribu, Johni S; Argadikusuma, Ilham S
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.v4i4.594

Abstract

Politeknik Piksi Ganesha is an institution of higher learning located in Bandung, Indonesia, specializing in engineering and technological curricula. The research's general objective is to describe the design and implementation of the web-based Student Information Management System (SIMS) to manage student data at Politeknik Piksi Ganesha Bandung. The functional and non-functional specifications are represented using Unified Modeling Language (UML) based on broad data collection through observation, interviews, and a literature review. It also entails black-box testing, which measures the system's performance against set criteria, focusing on the output without the details of its internal workings. The significant findings indicate that SIMS enhances highly administrative processes, accuracy in data, and good communication among stakeholders by applying clear UML diagrams of the system. This successful system development meets the institution's requirements and adds to the bar for other developments within the educational technology sector. The result has also emphasized the need for practical design methodologies and testing frameworks to develop reliable information systems to improve decision-making in academic institutions. The research has contributed significantly to the discipline because it has shown how different technological innovations can alleviate the problems surrounding managing student information at higher education levels.
Creating a Sustainable Entrepreneurship Ecosystem Through Innovation in Education Herlina, Herlina; Wahira, Wahira
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.v4i4.647

Abstract

People increasingly recognize entrepreneurship as a critical strategy for driving economic growth, reducing unemployment, and fostering innovation across sectors. However, entrepreneurship's sustainability relies heavily on supporting a robust ecosystem, with education serving as its foundation. Innovations in education, such as project-based learning (PBL), business simulations, and collaborations between educational institutions, industry, and government, are essential for shaping resilient, innovative, and sustainable entrepreneurs. Research has demonstrated that ecosystem-based entrepreneurship education enhances critical thinking skills, creativity, adaptability, and entrepreneurial readiness to tackle global challenges. Multi-stakeholder collaborations between education, industry, and government strengthen this ecosystem by providing resources, networks, and knowledge that support business sustainability. Additionally, challenge-based learning approaches such as Challenge-Based Learning (CBL) and the integration of business simulations effectively increase entrepreneurial confidence and learning performance through real-world experiences. This strategy has the potential to significantly and sustainably influence economic development through the ecosystem of entrepreneurship education. This study takes a qualitative approach, analyzing books, policy papers, case studies, and scientific articles on entrepreneurship education from different higher education institutions using a literature review method. We perform the analysis using a descriptive methodology to find trends, themes, and successful tactics in entrepreneurship education. Building a healthy entrepreneurial ecosystem requires innovation in entrepreneurship education. Approaches such as project-based learning and business simulations provide students with relevant practical experiences, helping them develop skills such as decision-making, risk management, and innovation needed to navigate the dynamics of modern business. Furthermore, collaboration between the education sector, industry, and government is critical in creating an ecosystem that supports innovative and resilient entrepreneurs. Studies show that innovation-based education, supported by multi-stakeholder collaboration, improves students' readiness for business challenges and contributes to sustainable economic and social growth.
Information Technology Investment Assessment Using Val IT Framework Zein, Afrizal; Rozali, Christien
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.v4i4.572

Abstract

Organizations must evaluate information technology (IT) expenditures to ensure that IT resources' use contributes value and is in line with their strategic goals. This paper investigates how the Val IT Framework can be used as an efficient tool for managing and evaluating IT investments. Val IT offers a thorough framework for assessing IT initiatives' advantages, disadvantages, and risks and their influence on accomplishing company objectives. We examine how the Val IT Framework may enhance accountability, facilitate IT performance monitoring, and increase transparency in investment decision-making through case studies of multiple businesses. The findings demonstrate that the application of Val IT fosters the advancement of improved IT management techniques and raises knowledge of the worth of IT investments. To attain optimal and sustainable outcomes, IT managers and stakeholders are advised by these findings to utilize a framework-based approach when evaluating investments. However, several challenges remain before the framework can be implemented, including a lack of funding, knowledge about it, and opposition to change. Organizations must, therefore, develop a comprehensive plan. To facilitate change adaptation, this plan should offer incremental implementation, adequate training to enable all stakeholders to better understand Val IT and enough resources to support adoption. These steps can assist businesses in more successfully overcoming their existing challenges. By adopting the right approach, businesses may maximize their IT investments and ensure that every dollar invested contributes significantly to achieving their strategic goals. The Val IT Framework serves as both an assessment tool and a roadmap for better, long-lasting results in IT management when used appropriately. This illustrates how crucial it is to make the investment necessary to implement this framework if the business is to be successful and viable in the long run.
Optimizing Road Pavement Projects Through Earned Value Concepts Jufriza, Jufriza; Alkhaly, Yulius Rief; Jalil, Abdul
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.v4i4.602

Abstract

Every construction project faces constraints of cost, schedule, and quality that must be managed to achieve the desired objectives. This research aims to control the aspects of time and cost in construction projects by applying the Earned Value Concept and Crash Program methods. The subject of the study is the Preservation of Roads and Bridges project in Bireuen City - BTS, Lhokseumawe/Aceh Utara, Krueng Mane Buket Rata, SP. Krueng Geukeueh - PEL. Krueng Geukeueh (PEL. Lhokseumawe). The data analyzed includes the Budget Plan (RAB), project schedule, and reports on planned and actual work. This data is processed into three main indicators: BCWS, BCWP, and ACWP, which are then analyzed through Schedule Variance (SV), Cost Variance (CV), Schedule Performance Index (SPI), and Cost Performance Index (CPI). The analysis results show that during weeks 22 to 23, the project had a positive Schedule Variance (SV) (0), which then turned negative during weeks 24 to 28, with an average Schedule Performance Index (SPI) of 1.0096, indicating that project execution was ahead of schedule. Meanwhile, the Cost Variance (CV) was positive throughout the project, and the average Cost Performance Index (CPI) was 1.2118, indicating that actual costs did not exceed the budget. The application of the Crash Program method resulted in changes in heavy equipment rental costs and worker wages, from IDR 1,440,469,946.99 over 50 days to IDR 1,853,072,988.06 over 25 days, with a cost increase of IDR 412,603,041.07 and an acceleration ratio of 1.29. This research demonstrates that the Earned Value Concept and Crash Program methods are effective in controlling time and cost in construction projects, thereby helping to achieve better efficiency in project management.
Sentiment Analysis of User Reviews on BSI Mobile and Action Mobile Applications on the Google Play Store Using Multinomial Naive Bayes Algorithm Samudera, Brucel Duta; Nurdin, Nurdin; Aidilof, Hafizh Al Kautsar
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.v4i4.581

Abstract

Mobile banking services are designed to facilitate customer transactions. Bank Syariah Indonesia (BSI) and Bank Aceh also provide these online services through their respective applications, BSI Mobile and Action Mobile. The mobile banking apps aim to simplify customer transactions, which can be conducted remotely via several features, from transfers, payments, and purchases to zakat payments, by simply connecting to the internet. Therefore, this research aims to classify the sentiment of user reviews for BSI Mobile and Action Mobile applications on Google Play Store to understand the users' experiences. The Multinomial Naïve Bayes algorithm is used in this study, where the algorithm analyzes and classifies the user reviews into positive and negative sentiment categories. The study involves several stages, such as text preprocessing, sentiment visualization, splitting the data into an 80:20 ratio for training and testing datasets, and training the model using the Multinomial Naïve Bayes algorithm. The results of this study show that the Multinomial Naïve Bayes algorithm performs well in analyzing user sentiment for BSI Mobile and Action Mobile, achieving an accuracy of 78.7%, precision of 76.5%, recall of 86.2%, and an F1-score of 80.6% for BSI Mobile, and an accuracy of 85.6%, precision of 75%, recall of 75%, and an F1-score of 75% for Action Mobile. Additionally, the sentiment classification results reveal that 52.8% of BSI Mobile user reviews are positive and 47.2% are negative, while for Action Mobile, 35.1% are positive and 64.9% are negative. For BSI Mobile, 21,497 reviews express a positive sentiment with dominant keywords such as "updated," "good," "balance," "transaction," and "thank." Meanwhile, for Action Mobile, 274 reviews express a negative sentiment with dominant keywords such as "transaction," "application," "network," "register," "please," and "update."
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.
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.

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