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 593 Documents
 33   34   35   36   37 
Integrating Fire Prevention Strategies with Industrial Hygiene to Enhance Workplace Safety in Textile Industries Utomo, Bekti
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.818

Abstract

 The textile industry in Indonesia is an economic sector that contributes significantly to exports and employment but has serious challenges related to occupational safety and health (OHS), especially in fire prevention and industrial hygiene. This study aims to analyze integrating fire prevention strategies with industrial hygiene practices to improve occupational safety in the textile sector. The method used is a case study of several textile companies in Indonesia with an analysis of the implementation of OHS policies, fire control technology, and its impact on worker safety. The results showed that companies implementing an integrated OHS management system experienced fewer fire incidents and safer working conditions. Key factors supporting this success include utilizing automatic fire detection technology, improved ventilation, and safety training for workers. In addition, government regulations and company management's awareness of adopting occupational safety standards play an essential role in the effectiveness of OHS programs. In conclusion, integrating fire prevention strategies with industrial hygiene is critical for improving occupational safety and health in Indonesia's textile industry. Recommendations include strengthening company policies, improving workforce training, and utilizing modern fire risk management and industrial hygiene technology. The findings are expected to contribute to developing more effective and sustainable OHS policies in the national textile industry.
The Incidence Rate and the Effects of Progressive Muscle Relaxation on Fatigue, Muscle Pain, and Sleep Quality Among Coffee Farmers Loda, Yohana Jawe; Ratu, Jacob Matheos; Muntasir, Muntasir
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.804

Abstract

Farmers frequently endure exhaustion and muscle aches as a result of their heavy labour, which affects their sleep quality and health. Farmers' occupational health is improved by using gradual muscle relaxation to minimize fatigue, muscle pain, and poor sleep quality. The goal of this study is to see how common muscular relaxation is and how effective it is at reducing fatigue, muscle pain, and improving sleep quality among coffee producers in Bajawa District. This research employs two different designs: descriptive observational research with a cross-sectional design and experimental design with pretest and posttest designs. A total of 240 farmers were sampled using stratified random sampling, while 18 farmers were sampled using multistage random sampling. The findings of this study using descriptive analysis revealed that fatigue, muscle pain, and sleep quality were all high among coffee farmers in Bajawa District, with 119 people (49.6%) reporting severe fatigue, 124 people (51.7%) reporting high muscle pain, and 160 people reporting poor sleep quality (66.67 %). The paired t-test yielded a p-value=0.000, indicating that administering ROP had an effect on farmer tiredness (p0.05), muscle pain (p0.05), and sleep quality (p0.05). ROP, in conclusion, has a tiredness impact that relieves fatigue, calms and comforts the environment, manages pain, and induces sleep.
Evaluation of Cloud-Based Financial Information System in Overcoming Company Liquidity Crisis Utama, Ahmad Nur Budi; Hidayat, Imam; Mutia, R. Dewi; Rasna, Rasna; Judijanto, Loso
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.831

Abstract

 This study evaluates the effectiveness of cloud-based financial information systems in addressing corporate liquidity crises. It aims to identify how cloud financial systems improve liquidity stability, financial decision-making, and operational efficiency while examining key implementation challenges. A mixed-methods approach was applied, combining quantitative multiple linear regression analysis and qualitative case studies from 10 selected Indonesian companies across various sectors. The study measured key factors, including financial data access speed, accuracy, cash flow prediction, and liquidity management efficiency. The quantitative results show that all independent variables positively and significantly impact corporate liquidity stability (p-value 0.05). Liquidity management efficiency (coefficient = 0.366) had the most potent effect, followed by financial data access (0.347), accuracy and transparency (0.340), and cash flow prediction (0.308). The qualitative findings further validate these results, with companies reporting better financial forecasting, reduced manual errors, and improved decision-making speed. However, key challenges include high implementation costs, cybersecurity risks, and system integration difficulties. Businesses must adopt strategic implementation plans, focusing on enhanced cybersecurity measures, affordable cloud solutions, and team member training programs to maximize cloud financial benefits. SMEs, in particular, require scalable cloud options to mitigate financial and technological constraints. Cloud-based financial systems significantly enhance corporate financial stability and sustainability. Companies that effectively integrate these systems will gain higher financial resilience and competitive advantage in the digital era. However, addressing cost, security, and integration challenges is essential for optimizing cloud technology adoption.
Clinical Features of Acute Appendicitis Patients Surgery at Tarakan Regional Hospital in the 2023 Period Wijaya, Jefri
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.814

Abstract

Appendix inflammation, a tube-like structure at the end of the large intestine is acute appendicitis. Right lower quadrant abdomen pain is the most frequent clinical symptom of this condition and, hence, the most common abdominal emergency. Acute appendicitis is notoriously complicated to diagnose since the patient's pain is the sole definite sign. Appendectomy is the sole option when diagnosing or treating acute appendicitis. The purpose of this research is to identify the symptoms and signs of acute appendicitis in patients who have undergone appendectomy operations at Tarakan Regional Hospital. The most common occurrence of acute appendicitis was in patients aged 12–16 years, as identified by this research. Acute appendicitis is more common in this age bracket compared to adults and children. Another unexpected finding of this study is that females make up the majority of people who experience acute appendicitis. While men would theoretically be more at risk, this study found otherwise in Tarakan Regional Hospital. The findings shed light on the age and gender incidence of acute appendicitis, something that medical professionals need to know. To make a prompt and correct diagnosis, medical professionals must be able to detect this pattern of symptoms. Medical intervention can be more effective with an accurate early diagnosis, which speeds up the recovery process and reduces the likelihood of more severe sequelae.
Cybersecurity Awareness In HR: Protecting Employee Data in the Digital Era Maulidar, Maulidar; Wanda, Edi; Hijriatin, Maudi
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.819

Abstract

Cybersecurity in team member data management is critical to corporate operations, especially in the e-commerce industry, which faces continuously evolving digital threats. This study evaluates cybersecurity awareness in Tokopedia's Human Resources (HR) department and the effectiveness of security policies implemented following the 2020 data breach incident. Using a qualitative case study approach, data were collected through in-depth interviews, observations, and document analysis. The findings indicate that while Tokopedia has strengthened its data security policies, significant challenges remain in team member compliance with security protocols, policy implementation complexity, and limited understanding of cyber threats. To address these challenges, this study recommends an approach based on interactive training programs, adopting Zero Trust Architecture (ZTA) and using Artificial Intelligence (AI) for cybersecurity threat detection. Furthermore, strengthening cybersecurity culture through management involvement and team member incentive systems is also identified as a strategic measure to enhance awareness and compliance with security policies. With proper implementation, Tokopedia can enhance team member data protection, reduce cybersecurity risks, and ensure long-term information security sustainability within the company.
Implementation of Dijkstra and Ant Colony Algorithms for Web-based Shortest Route Search for LPG Gas Distribution Rasna, Rasna; Irjii Matdoan, Moh. Rahmat; Kumala Dewi, Nurlaela; Ariffien, Afferdhy; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.805

Abstract

National energy needs and efforts to fulfill them are currently vital issues to be discussed and resolved. One type of energy that still has various problems is fuel gas, especially LPG (Liquid Petroleum Gas). The gas scarcity in each region differs; not all regions experience gas shortages, and some areas have excess LPG gas stocks. The problem of the scarcity of 3 kilogram (Kg) LPG gas is not the first time this has happened. In recent months, people in some regions have complained about the scarcity of subsidized 3-kilogram (kg) LPG gas. This situation certainly makes it difficult for the community. Not only does the scarcity hamper community activities, but it also makes the price of gas refills more expensive than usual. With the increasing demand for LPG gas every year, the government must provide large stocks of LPG gas. But what power if the LPG gas stock is less or runs out at specific locations. Therefore, applying gas base route search is needed to overcome the shortage of gas stock at a location. This application applies two search methods, namely the Dijkstra algorithm and the ant colony algorithm, to find the fastest route to the location of the gas base in the XYZ area. In the algorithm process, Dijkstra requires distance data for each city before starting the algorithm process. The Ant Colony Algorithm does not require the distance of each city because, in an Ant Colony, the distance between towns is calculated after the ants complete their journey. From the results of the process of the two algorithms, it is known that the path produced by Dijkstra's algorithm is more consistent and precise than the Ant Colony algorithm, which gives results that are not necessarily the same for each process.
Analysis Of The Performance Of Junior High Schools In The Nisam Sub-District Using The Data Envelopment Analysis Method Mudawali, Mudawali; Abdulllah, Dahlan; Sahputra, Ilham
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.823

Abstract

Education plays a major role in improving the quality of human resources. To support this effort, an application is needed so that it can measure the efficiency of education performance quickly and automatically. This research uses the Data Envelopment Analysis (DEA) method. The Data Envelopment Analysis method is a method that utilizes linear programming to compare decision-making units, by comparing one Decision Making Unit (DMU) with other DMUs that use similar resources to produce similar outputs. This research successfully developed an application to measure the performance efficiency of junior high schools in Nisam District. The application was designed using UML, PHP, and MySQL, and data was collected through interviews with school officials. The application provides an attractive user interface and can calculate linear programming with the DEA method, in accordance with calculations using Lindo 6.1 software. The data used for the efficiency analysis includes input data, such as the number of teachers, other students, facilities and infrastructure, the number of students admitted in 2023, certified and uncertified teachers, teachers with master's degrees, PPPK teachers, honorarium teachers, as well as the average student pass rate and the number of students graduating in 2023 as output. Of the 6 sample schools, 5 schools (83.33%) achieved efficiency, while 1 school (16.66%) was not efficient.
The Decision Support System for Feasibility Testing of Healthy Canteens at Universitas Malikussaleh Using the Multi-Attribute Utility Theory Method Ulfa, Nur Saufani; Abdullah, Dahlan; Agusniar, Cut
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.815

Abstract

This research aims to develop a decision support system based on the Multi-Attribute Utility Theory (MAUT) method to evaluate the feasibility of healthy canteens at Malikussaleh University. The system is designed to assess the feasibility of canteens based on six main criteria: Selection of Raw Materials, Storage of Food Ingredients, Food Processing, Food Storage, Food Transportation, and Food Serving. This study evaluated 20 canteens on campus, with feasibility values calculated based on the weights assigned to each Criterion. The results showed that the canteen with the alternative code A11 (Kopita BI) received the highest score of 0.956, followed by A6 (Umi), with a score of 0.798, and A10 (Alisha), with a score of 0.620. Out of the 20 canteens evaluated, only three canteens were categorized as "Feasible," 3 as "Sufficiently Feasible," and the remaining 14 were deemed "Not Feasible." These findings highlight the urgent need to improve the quality of most canteens. The criteria for Selection of Raw Materials and Food Processing had the highest weights, emphasizing the importance of these two aspects in maintaining food quality and health standards. Implementing this system simplifies data management and analysis and provides clear recommendations for canteen managers to improve service and health standards. Thus, this system is expected to promote healthier and higher-quality campus canteens. This research enhances canteen service quality in university environments and can serve as a reference model for other educational institutions in evaluating and improving their canteen facilities.
Analysis of Management Network Using Ubiquiti for Local Office at PT Rizki Inti Madani Wirawan, Shafwan Abiyu; Tahir, Arib Nawwar; Sutisna, Sutisna
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.820

Abstract

The rapid development of information and communication technology has increased the need for reliable, secure, and efficient computer networks, especially for companies and organizations, including local offices. In this context, stable connectivity and optimal network management significantly impact the company's smooth operation, especially when facing increasingly growing digital transformation challenges. Companies, including the Ubiquiti device, need technology solutions to ensure smooth operations and efficiency. This study aims to provide practical solutions for companies overcoming local office network management problems. This study seeks to optimize network management in companies using Ubiquiti devices, conduct an in-depth analysis of existing network conditions, and design appropriate solutions. This study uses a descriptive qualitative approach, which aims to understand the phenomena that occur in the field in more depth. This approach was chosen because of its ability to explore the meaning, processes, and dynamics that occur in a particular social context. To ensure the successful implementation of the proposed solution, here are some suggestions that PT. Rizki Inti Madani can consider. Human Resources Training and Development, considering the importance of a deep understanding of devices and centralized network management, it is highly recommended that IT technicians and staff involved in network management be given further training on using Ubiquiti and Cisco devices. This training should also include understanding VLAN configuration, QoS, and efficient network troubleshooting and monitoring techniques. Gradual Transition: to reduce the risk of operational disruption, it is recommended that the implementation be carried out in stages. The devices will first be tested in a laboratory environment to ensure the configuration is running as expected. After successful testing, the devices can be installed gradually throughout the office to minimize downtime and operational disruption.
Weather Classification and Prediction on Imagery Using Boltzmann Machine Rasna, Rasna; Irjii Matdoan, Moh. Rahmat; Salat, Junaidi; J, Fitria; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.806

Abstract

Weather is a physical process or event that occurs in the atmosphere at a specific time and place, as well as its changes over a short period in a particular location on Earth. To produce weather forecast information, there is a series of processes that must be carried out until the weather information is conveyed accurately. The stages involved in the feature extraction process are carried out first. This process is carried out to obtain specific characteristics or features from a dataset. After the feature extraction process has been completed, the next step is to predict the weather based on the input images. To classify the weather on Earth using various algorithms, one of which is the Machine Boltzmann. The pattern recognition method used is Machine Boltzmann as an application of a simpler and more complex method. Generally, the weather prediction system using Machine Boltzmann consists of several stages, namely image acquisition, greyscale processing, segmentation/location using Sobel edge detection, classification using the Machine Boltzmann method, and finally producing output in the form of weather class results. The classification process in this research involves images of clear, cloudy, and rainy weather as inputs. The output of the system is the determination of whether the input weather image falls into the category of clear, cloudy, or rainy weather. The results of the study show that the classification of weather based on captured images has the highest accuracy for clear weather, with a percentage of 73.33%. For cloudy weather, the success rate is equal to the error rate, which is 50%, while rainy weather was not recognized at all.

Page 35 of 60 | Total Record : 593

 33   34   35   36   37 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol 6, No 1 (2026) 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