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
 32   33   34   35   36 
Formulation of Liquid Compound Fertilizer Enriched with Nutritional Elements for Shallot Plants on Inceptisol Reuleut Soil Fahira, Fahira; Akbar, Halim; Ismadi, Ismadi; Handayani, Selvy; Nazirah, Laila; Muliana, Muliana
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.v5i2.796

Abstract

Shallots (Allium ascalonicum L.) are one of the leading vegetable commodities in Indonesia that have many benefits, such as a flavouring for cooking spices, raw materials for the food industry, and traditional medicinal ingredients. Inceptisol is a soil with a low content of essential nutrients. However, it can still be pursued with the proper technological handling, one of which is the application of Liquid Compound Fertilizer (PMC). This study aims to determine the effectiveness of the liquid compound fertilizer (PMC) formula applied to Inceptisol soil on the growth and yield of shallot plants. This research was conducted at the Experimental Garden, Faculty of Agriculture, Malikussaleh University, from November to December 2023. This study used a single-factor Complete Randomized Design (RAL) with five replicates. PMC treatment consists of 5 levels, namely (K0) Control, (K1) PMC 25%, (K2) PMC 50%, (K3) PMC 75%, and (K4) PMC 100%. The results showed that applying PMC could increase the growth of shallots in the number of cloves and wet and dry crop weight with a PMC concentration of 50%. And PMC treatment of 75% can increase plant height. PMC treatment is 100% able to increase the number of leaves/plants. The application of PMC can affect the chemical properties of the soil, namely increasing the soil's pH value (H2O) by 0.84%, the soil organic by 1.5%, the total N by 2.73%, and the available P by 5.62%.
Web-based Rabies Disease Diagnosis Expert System with Forward Chaining and Dempster Shafer Methods Salat, Junaidi; Rasna, Rasna; Ichsan, Muhammad; Abdullah, Dahlan; 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.v5i2.801

Abstract

Rabies is a hazardous zoonotic disease that poses a significant threat to both animals and humans, as it can result in death. The disease is caused by a single-stranded RNA virus commonly found in infected animals' saliva, which can be transmitted to humans through bites. Although many people keep animals as pets, many lack adequate knowledge about the potential risks of rabies transmission. In Indonesia, most cases of rabies transmission to humans are caused by bites from infected dogs, followed by bites from monkeys and cats. The absence of an effective treatment for Rabies makes prevention and early diagnosis extremely important. One approach that could help manage the disease is creating an expert system for rabies diagnosis. The Rabies Disease Expert System is developed based on a needs analysis conducted through interviews with veterinarians to understand the classification of symptoms and the diagnostic process for Rabies. It's important to note that while the system is a valuable tool, it does have limitations and should not replace the role of a veterinarian. The system employs two critical methodologies: the Forward Chaining and Dempster-Shafer algorithms. These algorithms allow the system to trace the progression of symptoms and calculate the probability of a rabies infection. The system is an interactive platform where users—such as animal owners or medical professionals—can input observed symptoms in either animals or humans. Based on these inputs, the system provides a probable diagnosis. For example, the expert system might determine that a dog is in the 'Excitation Stage' of Rabies with a 54% confidence level. The integration of Forward Chaining and Dempster-Shafer methods ensures that the system continuously refines its diagnostic accuracy, aiming for a confidence level close to 100%. This expert system offers a promising tool to aid in the early detection and management of Rabies, potentially reducing the risk of widespread transmission.
Effect of Changes in Air Temperature on Fuel Consumption and HC and Co Exhaust Gas Emissions Sembiring, Resep; Munthe, Immanuel; Surbakti, Adnan; Ginting, Tinus; Pasaribu, Sabar
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.795

Abstract

Motorized vehicles are generally equipped with a driving engine which functions as a driver for the car. Motorized vehicles have engines consisting of one cylinder, two cylinders, three cylinders, and so on, and all of them require air as a medium for burning fuel in the combustion chamber to produce power to drive the vehicle. Motorized vehicles, both at sea and on land, operate at different air temperatures in all corners of the earth. This research was carried out by varying the air temperature entering the combustion chamber. The intended temperatures are 20oC, 25oC, 30oC, 35oC, and 40oC, and what will be examined is fuel consumption, HC, and CO exhaust emissions. The research results show that air temperatures from 20 to 40 degrees do not significantly affect fuel consumption or HC and CO exhaust emissions.
Quantitative and Qualitative Analysis of Weed Vegetation in Coffee Plantations in Bener Meriah Regency Farahdiba, Dewi; Baidhawi, Baidhawi; Nasruddin, Nasruddin; Nazirah, Laila; Ismadi, Ismadi
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.v5i2.797

Abstract

Coffee plants are an essential commodity widely cultivated in Bener Meriah Regency, Aceh Province. This study aims to determine the composition of dominant weed types and weed structures in Arabica coffee plantations in Bener Meriah Regency through weed vegetation analysis. Weed vegetation analysis is carried out in two ways, namely quantitative and qualitative. The research was conducted from November 2023 to March 2024 in 5 sub-districts. Weed sampling was carried out on five location plots per sub-district by placing a square measuring 1 m x 1 m diagonally to analyze the number of weeds, the number of individuals, and abundance. The study's results found 2,408 individuals and 35 species of weeds, namely 28 species of broadleaf weeds, three species of puzzles, three species of grasses, and one species of ferns. Spilanthes paniculata Wall weed. Ex DC or jotang is the most dominant weed, with an absolute density value of 392 (SDR 11.82). The absolute frequency value is dominated by Oxalis debilis or calincing. Meanwhile, the highest absolute dry weight was weeded S. paniculata Wall. Ex DC and A. conyzoides with values of 923.3 and 836.2. The life cycle of weeds showed that eight species (22.85%) had annual life cycles, and 27 species (77.15%) had annual life cycles. Stratification is classified as class 3, with as many as 14 species. Sociability is classified as 4th degree as many as 13 species. All weeds are classified as vitality 1. Meanwhile, the periodicity is only nine weed species that do not have flowers, seeds, and fruits.
Analysis of Tensile Loads on Metal Inert Gas Welding Spiral Steel Pipe 508 Hotman Sihombing, Rudi Adolf
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.v4i4.802

Abstract

Welding is one of the most widely used material joining techniques in various industries, including automotive, construction, and manufacturing. MIG (Metal Inert Gas) welding and SMAW (Shielded Metal Arc Welding) are the most commonly used welding methods. Both have different processes, speeds, quality of welding results, and application characteristics, but this research will apply it to MIG welding. This research aims to determine the difference in the ultimate tension tensile test (Tu) on a 12 mm thick spiral steel pipe 508 pipes when planted for 10 years and a new 12 mm thick spiral steel pipe 508. From the research results, it can be concluded: that it turns out that the value of the Ultimate Tension (Tu) on the new Spiral Steal Pipe 508 pipe is more significant than that which has been installed, with the average value of the Ultimate Tengan (Tu) on the new Spiral Steal Pipe 508 pipe being 498.72 N/mm2, while the average value of the Ultimate Tension (Tu) on the old Spiral Steal Pipe 508 pipe is 476.49 N/mm2. There is a difference in the Ultimate Tension (Tu) value of 0.95%; this is caused by changes in the structure of the Spiral Steal Pipe 508 pipe, which has been planted for 10 years.
Bibliometric Analysis in Mapping Research with the Central Theme of Digital Content Marketing Ulya Hasasi, Shina; Panca Rani, Meiliana; Setiawan, Adi
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.v5i2.790

Abstract

This research examines the development and trends of Digital Content Marketing (DCM) as a strategy to build better relationships with customers. We analyzed data from international journals published between 1988 and 2025 through a bibliometric approach, covering various elements such as digital transformation, social media, and consumer social learning. The bibliometric visualization revealed that "digital transformation" has become a central theme closely related to issues such as "social media influence" and "digital consumer engagement," suggesting a trend shift towards new topics such as "social media content marketing" in 2019-2020. These findings emphasize the importance of integrating digital and content marketing strategies to increase consumer engagement in today's digital age. The analysis found that scientific mapping and future research possibilities regarding interactive marketing can be used as recommendation variables for future researchers and as a reference for future articles. 
Bibliometric Analysis of Digital Entrepreneurship Octavia, Devi; Noor Zahara, Cyntia; Setiawan, Adi; Agustina, Agustina
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.v5i2.798

Abstract

This research explores the dynamics of entrepreneurship in the digital era by analyzing research trends, the impact of technological innovation, and the challenges and opportunities entrepreneurs face in the face of global market changes. Using a qualitative approach with bibliometric methods, this research identifies the development of the concept of entrepreneurship from 1956 to 2025. The research expanded significantly starting in 2016, along with the increasing adoption of digital technology in various industrial sectors. Visualization of bibliometric data shows that global entrepreneurship is a significant topic in academic literature. It is interconnected with digital business, corporate entrepreneurship, and entrepreneurial process. The findings of this study show that entrepreneurship is increasingly integrated with the digital world, with social media and digital technology acting as significant factors in accelerating business growth. The results of this analysis are expected to serve as a reference for further research in the evolving field of entrepreneurship and provide insights for business practitioners and policymakers in designing innovative strategies in the digital era.
Artificial Intelligence and Labor Markets: Analyzing Job Displacement and Creation Maria, Siti; Purwinahyu, Purwinahyu; Fitriansyah, Fitriansyah; Rachmawaty, Arvita; Aini, Rohana Nur
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.v5i2.830

Abstract

 Artificial Intelligence (AI) is transforming labour markets through automation, job displacement, and the creation of new employment opportunities. This study employs a descriptive and comparative research design to analyze AI's impact across various industries, using statistical trend analysis, comparative sector evaluations, and qualitative NVivo-style interview analysis. Findings indicate that industries such as manufacturing and retail experience high job displacement rates (45% and 35%), whereas healthcare and Education show higher AI-driven job creation (50% and 60%). A major challenge identified is the AI skills gap, where 84% of interview respondents highlighted difficulties in workforce adaptation due to the lack of AI-related training programs. The trend analysis reveals a 55% increase in AI job creation between 2015-2025, but many workers remain unprepared for these new roles. Comparative industry analysis suggests that countries and sectors investing in reskilling initiatives and AI governance policies experience lower AI-induced unemployment rates. Beyond economic concerns, this study highlights AI's psychological and social implications in the workplace, such as job insecurity, workplace surveillance, and mental health challenges. To address these issues, governments and corporations must implement AI workforce reskilling programs, fair labour policies, and ethical AI deployment strategies. The research concludes that proactive AI governance and workforce adaptation strategies are essential for ensuring an inclusive and sustainable labour market transition.
IT Governance Maturity Assessment at PT PLN Suluttengo Using COBIT 2019 Tangka, George M. W.; Lumingkewas, Cherry; Lompoliu, Erienika
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.v5i2.811

Abstract

The rapid development of Information Technology (IT) has made IT governance essential for organizations to align business objectives, manage risks, and optimize resources. PT PLN (Persero) Unit Induk Wilayah Suluttenggo, a key player in electricity distribution in North Sulawesi, Gorontalo, and Central Sulawesi, requires a structured IT governance framework to ensure operational efficiency and compliance. This study evaluates the organization's IT governance maturity using the COBIT 2019 framework, focusing on its Design Factors and Governance Objectives. The research employs a structured methodology, starting with problem identification, a literature review, and the selection of relevant COBIT 2019 domains. Data collection is conducted through structured interviews using the COBIT 2019 Design Toolkit, analyzing ten key Design Factors, including Enterprise Strategy, Risk Profile, IT-related issues, and Compliance Requirements. The findings indicate that PT PLN prioritizes customer service, digital transformation, and regulatory compliance while facing challenges in IT risk management, project execution, and IT investment optimization. Through a detailed assessment of IT governance maturity, this study identifies key gaps and provides recommendations for improvement. Strengthening IT governance practices will enable PT PLN to enhance operational efficiency, mitigate IT-related risks, and align IT initiatives with corporate strategy. The study contributes to both academic research and practical applications by demonstrating the effectiveness of COBIT 2019 in IT governance evaluation.
Comparison of K-Medoids and K-Means Result for Regional Clustering of Capture Fisheries in Aceh Province Salsabila, Thifal; Nurdin, Nurdin; Retno, Sujacka
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.v5i2.829

Abstract

This research aims to develop a web-based application that can categorize areas of capture fisheries in Aceh Province. The methods used in this research are K-Means and K-Medoids. The methods used in this research are K-Means and K-Medoids, a clustering technique used to group districts/cities based on high and low catch areas. This application will use data from the Marine and Fisheries Service (KKP) of Aceh Province, covering the period 2017 to 2023. This research will analyze variables such as production (tons), number of vessels, sub-districts, villages, and fish species. The system is developed using the PHP programming language to facilitate implementation and data access by stakeholders. Stakeholders. As an evaluation tool for clustering results, the Davies-Bouldin Index (DBI) is used to measure the quality of clustering results. The results of this study are expected to provide an overview of areas with high catches and assist policymakers in designing a more strategic approach to fishing—policymakers in developing more effective strategies to increase fishing, especially in districts with low fish catch. In addition, this application also provides an interactive platform for users to analyze fisheries data quickly and efficiently.

Page 34 of 60 | Total Record : 593

 32   33   34   35   36 

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