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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 593 Documents
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Mapping The Knowledge Domain of Metaverse The New Marketing Universe: A Bibliometric Analysis Monika, Eilen; Setiawan, Adi; Triasnita Miranda, Iges; Monica, Tasya; Ayu Santika, Widhea; Chalirafi, Chalirafi
International Journal of Engineering, Science and Information Technology Vol 3, No 4 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i4.467

Abstract

“Metaverse” is the idea of a shared virtual environment that is “parallelized” to the real world thanks to advances in technology. The metaverse world is currently not only used as a platform for playing games but has also been used as a place for doing business. The purpose of this research is to identify articles that study the metaverse in marketing and provide an overview of the Metaverse knowledge domain as a new marketing world and to show and explain the research mapping. This mapping will help researchers explore and develop research related to the metaverse as a new marketing world landscape. Marketing is a promotional activity that can attract consumers to increase sales. Metaverse is a virtual universe that imitates real world procedures. In this 3D virtual environment, users can carry out activities in the digital world like in the real world, as is done with the Gucci brand which uses the metaverse as a marketing medium based on blockchain TheSandbox. This will have a major impact on how companies implement marketing in the future and how people communicate with each other. In Industry 5.0, metaverse has entered the world of marketing and has begun to be used by several companies. So, metaverse becomes a new world in marketing. This research uses qualitative methods with bibliometric techniques by utilizing Visualization of Similarities (Vosviewers) as an application. By entering keywords such as Metaverse; Metaverse marketing; Digital Marketing; New Marketing Universe; Gen z to search for articles via Publish or Perish with a total of 940 articles which were then processed using VosViewers. The results of the analysis found scientific mapping and possible future studies regarding the metaverse as a new marketing world that can be used as variable recommendations for future researchers as a reference for subsequent articles.
Analysis of The Influence of Market Consumption Behavior and Economic Conditions on SME Business Performance Kushariyadi, Kushariyadi; Yani, Indri; Silamat, Eddy; Nistia Sari, Titis; Reza Aulia, Muhammad
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (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.v4i3.521

Abstract

This research aims to provide a comprehensive analysis of the influence of business strategy on consumer behavior, especially upper and middle class consumers. This research uses a qualitative approach with a case study design. Research data was collected through interviews, field observations and documentation. The research results show that the management team of SMEs must improve and adjust their business strategy, this is absolute and must be done immediately because the current business strategy is considered to no longer meet market expectations. This strategy must be adjusted, reviewed and refined over time to attract upper middle class consumers who seek an exclusive shopping experience while maintaining a level of product and price diversity. The research results also suggest that SME managers understand the differences in shopping behavior between the lower class who focus on efficiency and price, and the upper middle class who are not sensitive to price changes and focus more on a more personalized shopping experience. Changes in social structure and macroeconomic factors, such as increasing incomes and decreasing unemployment, also influence purchasing power and demand. Management must adapt by adjusting its offerings and infrastructure to meet the needs of different market segments and be able to respond quickly to changes in social structure and demand which can be very varied and fluctuating.
Water Quality Monitoring and Control System for Tilapia Cultivation Based on Internet of Things Rosnita, Lidya; Ikhwani, Muhammad; Aidilof, Hafizh Al Kautsar; Salamah, Salamah; Hamsi, Widia; Rangkuti, Haris Yunanda
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.v4i4.566

Abstract

This research analyzes the quality of water for tilapia habitat which is a type of brackish water fish that is currently widely cultivated by pond farmers. This fish is the choice because of its flexibility regarding habitat. However, despite having flexibility in terms of habitat, each harvest of tilapia that lives in a different habitat will produce tilapia with different quantity and quality. Currently, many tilapia farmers still carry out the cultivation process using traditional methods using ponds. Kuala Kerto Village, Lapang District, North Aceh is one of the locations where many tilapia fish farmers use ponds as a habitat for this fish. Not infrequently, changes in natural conditions such as rain and floods have an impact on tilapia fish ponds in this village. Thus, crop yields are very varied, often even resulting in losses. One of the reasons for this is that there is still minimal use of technology in tilapia cultivation in this village. The design of a water quality monitoring and control system for IoT-based tilapia cultivation in this research was carried out to help the problems of tilapia pond farmers. Through this research, a tool was produced in the form of a prototype IoT device that can be used to monitor and control water quality in tilapia fish ponds. This device utilizes several sensors such as turbidity sensors, ammonia sensors, salinity sensors, pH sensors, and several other sensors as data takers which will later be transmitted and displayed via a web application. Research and development of this device uses the RD method, namely research and development.
Analysis of the Choice of Transportation Modes from Lhokseumawe City to Medan City Using the Analytical Hierarchy Process Method Afdal, Muhammad; Muhammad Ridwan, Teuku; Malasyi, Syibral; Savira Elsa, Nanda; Chandra, Yovi
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.v4i4.568

Abstract

Interprovincial movement activities from the city of Lhokseumawe to the city of Medan is a busy travel route because land routes connect many cities. Minibusses and buses serve transportation needs across these cities. Travelers tend to choose minibusses because of their convenience, fast travel time, and the excellent level of comfort provided. 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% choosing the Sempati Star Bus, 20% choosing the Putra Pelangi Bus, and 14% choosing 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%.
Analysis of Organizational Culture in Improving the Performance of Educators and Educational Staff at Tanggamus Islamic Education College Kurniawan, Heri
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.v4i4.569

Abstract

This study aims to implement an organizational culture to support the achievement of set goals. Specifically, the study aims to analyze how implementing organizational culture enhances performance, as well as identify the factors that support and hinder this process. The research approach used in this study is descriptive qualitative. Collecting data from field studies is a crucial part of every research project. Data for the study was gathered through interviews, documentation, and observation. Educators and education staff may benefit from examining corporate culture, according to the study's findings. To be responsible, one must be free and independent, and one must also comprehend the duties of one another. Leadership: The organization's objectives and standards are laid out in a clear and concise manner. Incentives like pay raises and promotions are part of the reward system. How much horizontal or vertical communication there is depends on the communication system. The results of this study point to the importance of leadership in raising the efficiency and effectiveness of school staff and teachers. As a theoretical framework or point of reference, the results of this study can be used by universities to improve the performance of education workers and instructors. Furthermore, the researcher found that to establish a higher education institution operating in the Islamic field, universities must overcome both supportive and inhibiting factors. They also need the assistance of competent teaching and education personnel to implement quality enhancements, thereby creating a superior higher education institution.
Grouping Sales Levels Smartphone Of Offline Store Using BIRCH Clustering Algorithm Rahmadani Sari, Putri Dwi; Qamal, Mukti; Rosnita, Lidya
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.v4i4.558

Abstract

From 2020 to 2024, TM_Store and Jaya Com exhibited different sales patterns based on cluster analysis using the BIRCH algorithm. The background of this research is to provide strategic insights to both stores for improving their sales performance through data analysis. The sales data used includes brand, type, month, year, stock quantity, quantity sold, unit price, and total sales. The BIRCH method was chosen for its effectiveness in handling large datasets and providing accurate clustering results. The clustering results indicate a significant increase in the "Moderate" category, from 12 sales in 2020 to 354 sales in 2023. Meanwhile, the "Very High" category also saw an increase from 5 sales in 2020 to 97 sales in 2023, with sales in the "Very Low" category remaining high at 70 sales in 2023. On the other hand, Jaya Com was dominated by the "Very High" category, with a sharp increase from 25 sales in 2020 to 597 sales in 2023. The "High" category also showed significant growth, from 6 sales in 2020 to 98 sales in 2023. This data indicates that Jaya Com focuses on high-performance products, while TM_Store shows a more balanced distribution across various sales categories. Based on the analysis, Jaya Com had 1988 data points with 1984 cluster points, whereas TM_Store had 2012 data points with 1811 cluster points. Overall, the study concludes that the BIRCH algorithm can identify significant sales patterns in both stores, aiding in the development of more effective and efficient promotional strategies tailored to each sales category's performance.
News Popularity Prediction in West Sumatera Using Autoregressive Integrated Moving Average Aminsyah, Ansharulhaq; Nurdin, Nurdin; Yunizar, Zara
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.v5i1.615

Abstract

The increasing public interest in reading online news is undoubtedly a challenge for news portals as online news providers. Therefore, this research was conducted to predict news popularity in West Sumatra through the FajarSumbar.com news portal using the Autoregressive Integrated Moving Average (ARIMA) model. This research aims to develop a forecasting model that can assist in estimating the popularity of each news category so that news portals can devise more effective content strategies. The data used in this study includes the number of monthly news impressions from March 2021 to June 2024, which are grouped into various categories such as Religion Culture, Industrial Economics, Criminal Law, etc. Using the ARIMA method, which can handle time series data and overcome data non-stationarity problems through differencing and the use of grid search in optimization to find the best parameters based on the lowest evaluation metric. The results show that the ARIMA model can provide reasonably accurate predictions, although the level of accuracy varies between categories. The Mean Absolute Percentage Error (MAPE) values obtained are as follows: Religion Culture 26%, Industrial Economy 29%, Criminal Law 29%, Health 40%, Sports 38%, Tourism Entertainment 26%, Education 27%, Government Politics 31%, Social Environment 27%, and Technology 51%. The Technology and Health news categories show higher error rates than others, while Religion Culture and Tourism Entertainment have better accuracy rates. Thus, the ARIMA model can be used to predict future trends in news popularity, helping editors plan content strategies that are more relevant and interesting to readers. However, improvements are needed for news categories that have high variability.
Plagiarism Detection Application for Computer Science Student Theses Using Cosine Similarity and Rabin-Karp Ansyari, Taufik Habib; Abdullah, Dahlan; 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.v5i1.686

Abstract

Plagiarism detection is critical in maintaining academic integrity, particularly in higher education. This study focuses on developing a plagiarism detection application for Computer Science student theses. The application leverages the Cosine Similarity and Rabin-Karp algorithms to accurately and efficiently detect textual similarities. Developed using JavaScript, the application provides an intuitive interface and reliable performance, making it a practical tool for educational institutions. The application includes features allowing users to upload thesis documents, analyze textual content, and measure plagiarism levels by comparing them to an existing dataset. The Cosine Similarity algorithm measures the overall similarity between documents, while the Rabin-Karp algorithm focuses on identifying exact matches in phrases and sentences. The results demonstrate the efficacy of both algorithms. For titles, the Cosine Similarity algorithm achieved a 100% similarity rate for identical documents while detecting minor plagiarism with a similarity level of 5.86% for other documents. For abstracts, it achieved 100% similarity for the first document, 2.78% for the second document, and 8.37% for the third document. These findings highlight the algorithm's ability to detect exact matches and partial overlaps in textual content. The Rabin-Karp algorithm showed comparable performance, particularly in detecting phrase-level similarities. For titles, it recorded 100% similarity for identical documents, 11.42% for the second document, and 16.92% for the third document. For abstracts, the algorithm also achieved 100% similarity for the first document, 11.42% for the second document, and 16.81% for the third document. The study confirms that both algorithms complement each other in detecting different forms of plagiarism. The Cosine Similarity algorithm excels in identifying global patterns of similarity, while the Rabin-Karp algorithm is more suited for finding exact matches in specific phrases or sentences. This dual approach provides a comprehensive solution for detecting plagiarism in academic theses. The findings from this research are promising and highlight the potential of the application as a reliable tool for ensuring academic integrity. Future improvements could include expanding the dataset, enhancing the user interface, and integrating additional algorithms for cross-language plagiarism detection. This application contributes to academic honesty and is a valuable resource for educators, researchers, and students in combating plagiarism effectively. 
Design of Web-Based Inventory Accounting Information System at PT XYZ Ranti Rosalina, Resmi; Arifin, Riza; Pasaribu, Johni S
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.v4i4.597

Abstract

PT XYZ is a company engaged in the retail trade of large and small clothing, and it is located in the city of Bandung. As a trading company, PT XYZ needs to utilize information technology in managing warehouse inventory, which is no longer manual management, namely recording in paper media, which will be susceptible to data discrepancies. The web application here is interpreted as an inventory application through a display that includes goods to be stored in the warehouse and product transactions that come in and out. The research method used here is the interview and observation method. Software creation is carried out with a waterfall model consisting of the following stages: system planning analysis, system analysis, design, implementation, and maintenance. In the object of system modeling with visual data flow diagrams and flowcharts. The results of this study produce web-based software using PHP as a programming language with MySQL as a database and visual code for its program editor. Through this system, it is expected to facilitate work and can be used at any time. This inventory application can be a benchmark for managing incoming and outgoing goods. Another benefit is that this web-based application aims to control the stock of goods at any time.
Analysis of Occupational Health and Safety Hazard Risk Using Hazard and Operability and Fault Tree Analysis Methods Maharani, Cindi; Amri, Amri; Sayuti, Muhammad
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.v5i1.676

Abstract

This study aims to identify the potential for occupational health and safety hazards using the Hazard and Operability (HAZOP) method and to provide recommendations for resolving the root causes of work accidents using Fault Tree Analysis (FTA). This study was conducted at PT. X, engaged in the plantation and processing of latex, is called Crumb Rubber. Based on data from 2022 to 2023, there are eight potential work accidents caused by several factors, such as the work environment, machines, and humans. The company has implemented an occupational health and safety program to support the safety of the company workforce. Even so, work accidents in the company still occur due to workers not being aware of the importance of occupational health and safety; this can be seen in workers who ignore their safety by not using complete personal protective equipment provided by the company. This still causes the potential for work accidents to occur. The study results show that the Hazard and Operability analysis revealed four different sources of danger that need attention: Low risk, such as split palms and slipping; Medium risk, including incidents such as sprained hands. High risk, including the potential for feet being stabbed by hooks, injured or cut hands, blistered and itchy hands, forklift accidents, and exposure to chemicals. Extreme risk is the potential for eye irritation. Based on the root causes of work accidents that have been observed using the Hazard and Operability method, recommendations were obtained using the Fault Tree Analysis method in the form of improving work attitudes, including creating a work health and safety training schedule, developing worksheets, and implementing attractive poster displays (visual displays). Recommendations for improving work environment conditions are recommended, especially managing puddles and chemical spills and optimizing machine maintenance.

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