cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dahlan Abdullah
Contact Email
dahlan@unimal.ac.id
Phone
+62811672332
Journal Mail Official
ijestyjournal@gmail.com
Editorial Address
Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351
Location
Kota lhokseumawe,
Aceh
INDONESIA
International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 80 Documents
 1   2   3   4   5 
Search results for , issue "Vol 5, No 1 (2025)" : 80 Documents clear
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. 
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.
The Role of E-Service Quality and Brand Image on Purchase Intention of Smartphone Products Utomo, Sulistyo Budi; Setiadi, Bekti; Astuti, Enny Diah; Wahyuningratna, Ratu Nadya; Hendra, Hendra; Nusyirwan, Nusyirwan
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.v5i1.714

Abstract

The smartphone industry has witnessed remarkable growth over the past decade, becoming one of the most dynamic and competitive markets globally. With technological advancements and increasing internet penetration, consumers increasingly rely on e-commerce platforms to purchase smartphones. Consequently, the quality of e-services provided by companies has emerged as a critical determinant of consumer purchase behaviour. Simultaneously, brand image remains a key factor influencing consumer preferences and loyalty. This study investigates the impact of e-service quality and brand image on consumers' purchase intentions for smartphone products. In an era where online shopping has become a dominant trend, understanding how these factors influence consumer behaviour is crucial for businesses seeking a competitive edge. Data for this research was collected from 100 respondents using structured questionnaires, and multiple regression analysis was employed to assess the relationships between the variables. The findings reveal that e-service quality and brand image significantly positively affect purchase intention. High-quality e-services, characterized by website functionality, responsiveness, and security, enhance consumer trust and encourage purchasing decisions. Simultaneously, a strong brand image fosters consumer loyalty and preference, further amplifying purchase intention. Moreover, the interplay between e-service quality and brand image shows a synergistic effect, where combining both factors results in even higher purchase intention. This research underscores the importance of seamless online experiences and robust branding strategies for companies operating in the smartphone market. Practical implications include businesses needing to continually improve their e-service platforms by investing in user-friendly designs, efficient customer service, and secure transaction systems. Maintaining a consistent and appealing brand image through targeted marketing and corporate social responsibility initiatives is critical. These efforts attract new customers and retain existing ones, driving long-term success in the competitive landscape of smartphone products. By addressing both e-service quality and brand image, companies can effectively influence consumer behaviour, enhance satisfaction, and foster brand loyalty.
Implementation of Artificial Intelligence Technology-Based Learning Media at SD Negeri Kotagede 1 Yogyakarta Femi, Femi; Supriadi, Didi
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.v5i1.628

Abstract

In the digital era, the field of education is witnessing the transformation that occurs through the integration of artificial intelligence (AI). With artificial intelligence's (AI) potential to revolutionize various sectors, it presents itself as a material or tool that can enhance the teaching and learning experience. Its features align with our thinking, enabling us to progress according to our desired content. Artificial intelligence (AI) is today's most important tool in education. Artificial intelligence (AI) plays a crucial role in enabling the use of AI-based learning media, thereby facilitating the learning process in education. Artificial intelligence (AI)--based learning media in education will aid teachers and students in learning. This study aims to provide insight to all of us regarding the implementation of learning media based on artificial intelligence (AI) technology at SD Negeri Kotagede 1 Yogyakarta. This study employs a descriptive-qualitative approach. In the current educational landscape, particularly at SD Negeri Kotagede 1 Yogyakarta, artificial intelligence (AI) plays a crucial role. Artificial intelligence (AI) can facilitate the learning process flow by using learning media based on artificial intelligence technology. Teachers can utilize artificial intelligence to design programs and learning processes, while students can enhance their comprehension of the material and cultivate their critical thinking skills. Implementing learning media based on artificial intelligence (AI) technology can benefit educational institutions in a more interesting, innovative, effective, and creative learning process.
Expert System for Diagnosing Dengue Fever with Comparison of Naïve Bayes and Dempster Shafer Methods Susanti, Neli; Nurdin, Nurdin; Afrillia, Yesy
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.691

Abstract

An expert system for diagnosing dengue fever (DF) using a comparison of the Naive Bayes and Dempster Shafer methods aims to provide a solution to assist medical personnel in diagnosing this disease. Dengue fever is a disease caused by the dengue virus infection through the bite of Aedes mosquitoes. It has symptoms similar to other diseases and requires rapid and accurate diagnosis. The Naive Bayes and Dempster Shafer methods were chosen because both have different approaches to handling uncertainty and imprecise information. The Naive Bayes method is a probability-based classification that assumes independence between features. Meanwhile, Dempster Shafer is an approach to handling uncertainty. Therefore, comparing Naive Bayes and Dempster Shafer allows for classification with structured and fairly straightforward data, offering accuracy and flexibility in dealing with uncertainty. Applying this expert system with these methods can help in the faster and more accurate diagnosis of DF and provide better recommendations in situations where the available data is incomplete or ambiguous. From the test data calculations, the two methods show that the Naive Bayes method has a higher percentage value of 93%, while Dempster Shafer has 86%.
UI/UX Design of Ruang Kajian Application Using Design Thinking Method Jannah Arum Kemangi, Anisya Khanza Afiatul; Efrat Najaf, Abdul Rezha; Permatasari, Reisa
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.v5i1.665

Abstract

Islamic Studies, or Dirasah Islamiyah, explores various aspects of Islamic teachings. In Indonesia, where Islam is the majority religion, many organizations actively promote da’wah through study sessions, sholawat, and dhikr. However, the Better Youth Foundation lacks a dedicated platform to support its Better Youth Academy programs, which involve structured Islamic studies. This highlights the need for an efficient and accessible platform to facilitate learning and positive activities. This study develops the Ruang Kajian mobile application using the Design Thinking method, which consists of five stages: Empathize, Define, Ideate, Prototype, and Testing. The approach ensures a user-centered design, focusing on usability testing based on ISO 9241-11 standards and evaluating Effectiveness, Efficiency, and Satisfaction. The proposed design allows users to register and participate in Better Youth Academy sessions efficiently while accessing various structured study materials. Testing results from five users showed Effectiveness at 90%, Efficiency at 92.33%, and Satisfaction at 83.40%, indicating the design’s high usability. This research demonstrates that Design Thinking can produce user-friendly and efficient UI/UX designs that meet user needs and preferences. It offers practical guidance for developers in creating intuitive interfaces while enhancing the user experience when accessing Ruang Kajian. 
Sentiment Analysis of Free Online Novel Applications Using the Support Vector Machine Method Yulidayanti, Yulidayanti -; Safwandi, Safwandi; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.732

Abstract

Sentiment analysis is a study to analyze opinions and perceptions of various topics, products, or services. With the advancement of technology, people now have easier access to literary works online, including novels. The shift from offline to online reading has resulted in a large volume of review data, necessitating an automated system to classify this data. This research aims to analyze the sentiment of reviews for online novel applications using the Support Vector Machine (SVM) algorithm. The data used in this study was gathered from user reviews of the Wattpad, Noveltoon, and Joylada applications downloaded from the Google Play Store. The results show that the Wattpad application achieved 63% accuracy, 50% precision, 64% recall, and 56% F1-score, with a 41% positive and 59% negative sentiment distribution. The Noveltoon application achieved 70% accuracy, 69% precision, 73% recall, and 71% F1 score, with a 48% positive and 52% negative sentiment distribution. The Joylada application recorded 67% accuracy, 55% precision, 92% recall, and 69% F1-score, with a 57% positive and 43% negative sentiment distribution. The results of this analysis can help understand user preferences towards online novel applications and provide insights into their impact on the application's image and user interactions.
Optimization of Feature Selection on Student Complaint Data Using Recursive Feature Elimination to Improve Academic Service Quality Setiawan, Hamzah; Senja Fitrani, Arief; Rahmawati, Yunianita; Wirabumi Putra, Cakra; Usqi Salsabila, Firdausi
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.v5i1.707

Abstract

This study aims to optimize the feature selection process on student complaint data regarding academic services in universities using the Recursive Feature Elimination (RFE) method. Student complaints' diverse and complex nature requires in-depth analysis to identify crucial features that affect service satisfaction. An accurate feature selection process can help universities understand the most frequently reported issues, enabling them to respond and improve services more effectively. The research utilizes complaint data from various aspects of academic services, such as administration, facilities, and faculty interactions. After preprocessing the data to remove noise and irrelevant entries, RFE is applied to select the most relevant features. Subsequently, a classification model is built using the selected features to identify the most significant complaint patterns. Model evaluation is conducted through cross-validation techniques to ensure accuracy and reliability, with metrics such as accuracy, precision, recall, and F1-score. The results demonstrate that the RFE method significantly enhances model performance in selecting essential features, making the classification model more efficient and accurate in predicting student complaints. Thus, this study contributes significantly to assisting universities in enhancing the quality of academic services through a more targeted analysis of student complaints. Implementing this method will improve the complaint-handling process and increase overall student satisfaction
The Use of Constructivist Learning Theory in Ki Hadjar Dewantara System Through Tut Wuri Handayani in Merdeka Curriculum Nalle, Christina; 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.v5i1.624

Abstract

This study presents an overview of Ki Hajar Dewantara's constructivism learning theory as interpreted through the system that gave rise to Tut Wuri Handayani. The system places students as the center of the learning process, while the role of the teacher is that of a guide who provides flexibility for children to develop their potential, creativity, talents, and interests according to their nature. Students are not entirely free to seek information and knowledge. Still, guidance from teachers and parents dramatically aids in identifying the nature and form of knowledge children require based on their developmental stage. This aligns with the constructivism learning theory, which suggests that teachers serve as facilitators, motivators, and communicators for their students. This study employs a qualitative approach, analyzing data from literature through an interpretive process to comprehend and provide context for the gathered qualitative data. This study will reveal how Ki Hajar Dewantara's constructivism learning theory compares to other systems. What is the relevance of Ki Hajar Dewantara's constructivism learning theory in the Merdeka Curriculum? The study's results lead to the following conclusions: First, the constructivism learning theory in Ki Hajar Dewantara's system emphasizes the importance of students' Independence in their thinking, the role of teachers as agents of change, the role of teachers as motivators, facilitators, and communicators for students, and the importance of Tut Wuri Handayani. Second, Tut Wuri Handayani illustrates Ki Hajar Dewantara's views on the Merdeka Curriculum through the roles of teachers and students in schools.

Page 1 of 8 | Total Record : 80

 1   2   3   4   5 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 5, No 4 (2025) Vol 5, No 3 (2025) Vol 5, No 2 (2025) Vol 5, No 1 (2025) Vol 4, No 4 (2024) Vol 4, No 3 (2024) Vol 4, No 2 (2024) Vol 4, No 1 (2024) Vol 3, No 4 (2023) Vol 3, No 3 (2023) Vol 3, No 2 (2023) Vol 3, No 1 (2023) Vol 2, No 4 (2022) Vol 2, No 3 (2022) Vol 2, No 2 (2022) Vol 2, No 1 (2022) Vol 1, No 4 (2021) Vol 1, No 3 (2021) Vol 1, No 2 (2021) Vol 1, No 1 (2021) More Issue