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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 593 Documents
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Performance Analysis of SVM and Linear Regression for Predicting Tourist Visits in North Sumatera Ginting, Andriyan; Nurdin, Nurdin; Agusniar, Cut
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.v5i1.667

Abstract

Indonesia, an archipelago rich in cultural diversity, historical heritage, and stunning natural scenery, offers an extraordinary travel experience to visitors who make this country their vacation destination. Tourism in Indonesia plays an essential role in the domestic economy, contributing to Gross Domestic Product. With its abundant natural and cultural resources, North Sumatra has long been recognized as an attractive destination for foreign tourists. However, the tourism sector faces significant challenges related to fluctuations in the number of visits, mainly due to the impact of the COVID-19 pandemic, which has disrupted global travel patterns and caused considerable uncertainty in tourism forecasting. Therefore, predicting the number of tourist visits becomes crucial for effectively planning and managing tourist destinations. This research aims to compare the performance of two forecasting algorithms, SVM and linear regression, in predicting foreign tourist visits in North Sumatra using historical data from 2019 to 2023. The dataset was subjected to a preprocessing phase to ensure data cleanliness and consistency, focusing on key variables such as seasonal trends, external factors, and market dynamics. Both models were evaluated based on two commonly used accuracy metrics, MAPE and RMSE, to assess how well the models could predict actual tourist arrivals. The results of the study indicate that Linear Regression outperforms SVM in terms of prediction accuracy, with a MAPE of 42.40% and an RMSE of 6735.6, compared to SVM with a MAPE of 46.65% and an RMSE of 8020.42. These findings provide valuable insights for local government authorities and tourism industry stakeholders to enhance destination planning, resource allocation, and strategies to attract more foreign tourists in the post-pandemic era.
The Role of Job Authority and Employee Empowerment on Employee Commitment in the Public Service Sector Djunaedi, Djunaedi; Kusnadi, Iwan Henri; Apramilda, Riesna; Osman, Isnawati; Setyawati, Kiki; Handayani, Sri
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.v5i1.749

Abstract

Team member commitment is at the core of organizational performance and durability, especially in the public sector. The study seeks to supplement existing knowledge by examining the effects of job authority and job empowerment on team member commitment and its impact on motivation, job satisfaction, and loyalty to the organization. This was obtained through a mixed-method approach, drawing together quantitative survey data with qualitative in-depth interviews with public workers. The findings indicate that the greater the level of authority, the more responsibility there is, and the more freedom there is for decision-making, the greater the commitment to the organization. Knowing how to do the work properly and having the proper skills and self-confidence were also essential for team member commitment. Employees at the lower organizational levels reported having feelings of encouragement and interest in the company, as well as integration into the strategic objectives of the company or enterprise. These results indicate the need for public service organisations to adopt a sustainable employee commitment culture focusing on authority and empowerment. Such issues need to be examined as time passes in future studies. The findings emphasize the importance of job authority and empowerment as determinants of team member engagement in the public sector compared to team member engagement in the private sector: assistive medical devices and many other organizations.
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.
Identification of Papaya Ripeness Using the Support Vector Machine Algorithm Maito, Rizki Minta; Qamal, Mukti; 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.v5i1.710

Abstract

Papaya is a tropical fruit that is commonly consumed and found in Indonesia. The ripeness level of papaya is typically assessed based on its colour. However, farmers and consumers often make mistakes identifying the fruit's ripeness. This research aims to design an application capable of determining the ripeness level of papaya based on colour images using Red, Green, Blue (RGB) and Hue, Saturation, Value (HSV) features and applying the Support Vector Machine (SVM) algorithm for ripeness classification. The dataset consists of images of California papayas, with 150 samples. The outcome of this study is a digital image application that can classify papaya ripeness into three categories: raw, half-ripe, and fully ripe. The evaluation used 80% of the data for training and 20% for testing. The results show an accuracy of 80%. With this relatively high level of accuracy, it can be concluded that the SVM algorithm is reliable for classifying papaya ripeness levels of Papayas.
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.
Exploring The Role of Artificial Intelligence in Library Management at Public Primary School Lestari, Dwi Makarti Amrih; 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.v5i1.626

Abstract

The rapid development of technology has brought significant changes in various areas of life, including the world of education. AI is a rapidly developing technology with enormous potential to improve the efficiency and effectiveness of resource management. Library management, which plays a crucial role in supporting teaching and learning activities in schools, employs AI in education. However, the increasing challenges in managing collections, the demand for rapid and accurate services, and the need for effective data management have increased the need for innovation in library management. This study aimed to explore the application of artificial intelligence (AI) in library management at SDN Piyaman 2 Wonosari, emphasizing enhancing operational efficiency, accessibility, and service quality. This study employs a qualitative descriptive approach, collecting data through interviews, observations, and questionnaires from students, teachers, and library staff. The researchers will then process, analyze, and discuss the collected data to conclude. The study results indicate that using artificial intelligence (AI) can improve library operational efficiency by reducing borrowing time, returning each book, and searching from five minutes to one minute. In addition, AI also increases user satisfaction, with an average increase from 60% to 85%. Despite the technical challenges and user adjustments, the results of this study indicate that AI has enormous potential to improve the effectiveness and efficiency of school libraries. Other schools can use this study as a model to implement AI technology in library management, making it more modern and responsive to user needs.
Isolation and Fractionation of Lignin from Sugar Cane Bagasse (Saccharum Officinarum L.) as an Antioxidant Tresia Marbun, Shondang
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.v5i1.689

Abstract

Bagasse is one of the solid wastes of the sugar cane industry, and it contains lignin fibre. Lignin from sugarcane bagasse is also known to have relatively high antioxidant activity. Sugarcane bagasse antioxidants can stabilize free radicals by completing free radicals’ lack of electrons and inhibiting chain reactions from forming free radicals. This type of research is laboratory experimental research (actual experiment design). In this research, lignin isolation and fractionation will be carried out from sugarcane bagasse to obtain lignin fractions with antioxidant activity. The percentage of lignin yield from this process is around 72.85%. The IR spectrum resulting from isolation from sugarcane bagasse has a typical absorption peak of aliphatic and aromatic –CH at a wave number of 2919.7/cm. The antioxidant activity of the lignin fraction from sugarcane bagasse was determined using the DPPH (1,1-diphenyl-2- picrylhydrazyl) free radical scavenging method using four solvents, namely ethyl acetate, acetone and methanol. Based on the level of antioxidant strength, the strength level is 50 powerful, 50-100 strong, 100-250 medium, 250-500 weak and 500 inactive; therefore, the results of testing the most potent antioxidant activity in the acetone fraction were found to be ??50 50, 6755 mg/L and weak antioxidant activity was found in the methanol fraction, the result was ??50 68.8503.
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.
Comparative Analysis of Compressive Strength of Steel Tubing Pipe Welding Results Using SMAW and MIG Welding with 140A Current Prasetia, Tengku Geby; Ariyon, Muhammad; Fitriani, Fitriani; Sebayang, Alexander; Tarigan, Efrata
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.v5i1.644

Abstract

The welding process plays a crucial role in manufacturing and is inseparable from its advancement. Deutsche Industrie Norman (DIN) defines welding as creating a metallurgical bond at the joint of metal or alloy metals in their molten state. This process is essential for constructing strong, durable materials like plates, steel, and pipes. Bending tests, including face bend and root bend, are often conducted to evaluate the quality of welded joints. These tests assess welded materials’ toughness, strength, and resistance under specific loading conditions. This study employed two welding techniques: Gas Metal Arc Welding (GMAW) and Shielded Metal Arc Welding (SMAW). GMAW, called Metal Inert Gas (MIG) welding, uses argon or helium as protective gases and a continuously fed electrode wire. On the other hand, SMAW relies on flux-coated electrodes to create the weld seam, with molten metal from both the electrode and parent material filling the joint. The results revealed distinct advantages for each method. The highest bending test value for the root bend was achieved with MIG welding at 982,55 Kgf/mm², demonstrating its effectiveness in creating durable root joints. Conversely, SMAW exhibited superior performance in face bend tests, achieving a bending strength of 104111 Kgf/mm², making it ideal for surface-level joint applications. Both techniques displayed no visible cracks in their welds, ensuring compliance with industry standards and confirming their reliability for various manufacturing needs. These findings highlight the importance of selecting appropriate welding methods based on specific application requirements.
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."

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