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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
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Comparison of Triple Exponential Smoothing and ARIMA in Predicting Cryptocurrency Prices Prasetyo, Adi; Nurdin, Nurdin; Aidilof, Hafizh Al Kautsar
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.577

Abstract

Cryptocurrency has emerged as a prominent digital asset over the past decade, but its high price volatility presents significant challenges for investors. This study evaluates and compares the effectiveness of the Triple Exponential Smoothing (TES) and Autoregressive Integrated Moving Average (ARIMA) methods in forecasting the prices of five major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Solana (SOL), and Ripple (XRP). TES models trends and seasonality in time series data, while ARIMA captures autoregressive patterns and moving averages. The dataset is split into 80% for training and 20% for testing, with performance evaluated using Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE). TES outperforms ARIMA in predicting Bitcoin and Binance Coin, achieving MAPE values of 10.38% and 13.81%, and RMSE values of 3,985.55 and 41.28, respectively. However, ARIMA shows better performance for Ethereum, Solana, and Ripple, with MAPE ranging from 8.78% to 32.84% and RMSE between 0.08 and 204.59. Notably, Ethereum has the lowest MAPE at 8.78%, while Ripple exhibits the smallest RMSE at 0.08. These findings suggest that TES is more suitable for cryptocurrencies with relatively stable price patterns, while ARIMA is better adapted to forecasting highly volatile assets. This research underscores the importance of selecting forecasting models based on the specific characteristics of each cryptocurrency
Implementation of Committee Partnerships on AI-Based School Policies at Public Junior High School Mulatiwi, Tri; Supriadi, Didi; Mulyanto, Rahmat
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.627

Abstract

In the increasingly sophisticated digital era, artificial intelligence (AI) technology has significantly changed various fields, including education. In Indonesia, secondary schools have begun implementing AI technology to improve the quality of teaching and school management. Implementing this technology includes using AI-based systems for personalized learning, student data analysis, and more efficient school administration management. Implementing AI-based policies requires a strong partnership between the school committee and the school. This includes monitoring technology implementation, providing teacher training, and involving parents in the technology-based learning process. This study aims to identify and analyze the role of partnerships between school committees and schools in implementing AI-based policies at SMP Negeri 3 Tanjungsari. To ensure effective policy implementation, various stakeholders, including school committees, must support advancing AI technology in education. This study employs a qualitative approach, incorporating a case study method. It obtained the collected data through in-depth interviews, participant observation, and document analysis. The study results indicate that strong partnerships between school committees and schools play a significant role in supporting the implementation of AI policies. However, some challenges are still faced, such as the committee's lack of understanding of AI technology. This study also offers strategies to improve the effectiveness of these partnerships, including training and enhancing communication between the committee and the school. These findings significantly contribute to developing educational policies that are more adaptive to technological advances.
The Effect of Carbon Nanotubes on the Marshall Characteristics of AC-WC Asphalt Mixture Akbar, Said Jalalul; Maizuar, Maizuar; Muthmainnah, Muthmainnah; Ersa, Nanda Savira; Desmi, Adzuha; Arfiandi, Joni; Adha, Ridwan; Larasati Putri, Ditya
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.v5i1.690

Abstract

Carbon Nanotubes (CNTs) are cylindrical nanostructures with exceptional mechanical strength, high electrical conductivity, and excellent heat transfer capabilities, making them a promising additive in asphalt mixtures. This study investigates the effect of CNTs on the Marshall parameters of Asphalt Concrete-Wearing Course (AC-WC) mixtures using 60/70 penetration asphalt. CNTs were added to asphalt at 60°C, followed by coarse and fine aggregates preheated to 150°C. Marshall parameter tests were conducted on the samples, and the results showed a significant increase in stability compared to conventional asphalt. Asphalt stability increased by 9%, with the highest value obtained at a CNT concentration of 0.015%, reaching 2177.83 kg. The optimal stability was achieved at a CNT concentration of 0.015%. This study demonstrates that CNTs can be effectively utilized to enhance the performance of AC-WC asphalt mixtures. The flow values decreased as the CNT content increased because CNTs make the asphalt mixture stiffer, improving temperature resistance.
Information Technology Governance Using the COBIT 2019 Framework at PT Bank Pembangunan Daerah Papua Lompoliu, Erienika; William Tangka, George Morris
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.v4i4.609

Abstract

Effective and efficient information technology (IT) management is crucial for the banking industry, especially for PT Bank Pembangunan Daerah Papua (BPDP), which seeks to reinforce its role within the Papua region. Leveraging the COBIT 2019 framework, BPDP aims to enhance IT governance, addressing operational efficiency, information security, and regulatory compliance. This study highlights BPDP's strategic priorities, such as revenue growth, fostering innovation, and customer service excellence, which are essential for sustaining competitive advantage amidst regional geopolitical challenges. By identifying these key priorities, the research uncovers critical areas of improvement, including IT investment optimization, mitigation of regulatory and security risks, and solidifying IT's strategic role in driving business growth. To evaluate BPDP's IT governance maturity, this study applies COBIT 2019's ten design factors, from enterprise goals and risk profiles to IT-related issues, compliance needs, and technology adoption strategies. The findings underscore gaps in risk management, project lifecycle oversight, and resource allocation, offering actionable insights for governance improvement. Enhanced IT integration can support BPDP's larger objectives of sustainable growth and economic development within the region. Furthermore, the study demonstrates that a well-structured governance framework strengthens BPDP's operational efficiency, builds customer trust, and ensures alignment with regulatory standards and evolving technology landscapes. By adopting these governance recommendations, BPDP can achieve long-term success and secure its position as a prominent financial institution in Papua, thus reinforcing its commitment to regional economic growth and compliance with national regulatory standards.
Comparative Analysis of Tensile Strength of Steel Tubing Pipe Welding Results Using SMAW and MIG Welding with 140A Current Tri Aulia, Yuni; Ariyon, Muhammad; Fitriani, Fitriani; Sebayang, Alexander; Tarigan, Efrata
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.645

Abstract

Welding is a crucial technology in modern manufacturing processes, widely applied in automotive, oil refineries, and other industries. This study focuses on two standard welding techniques: Gas Metal Arc Welding (GMAW) and Shielded Metal Arc Welding (SMAW). GMAW uses argon gas as a shielding gas, and the ER70S-6 electrode has a 1.0 mm diameter, while SMAW employs the E7018 electrode with a 2.6 mm diameter. Both methods are tested on ASTM 106 Grade B steel, a commonly used material in various industries. The primary goal of this research is to evaluate the tensile strength of steel specimens welded using MIG and SMAW. The tensile strength of raw material, as well as the welded materials, is measured to assess the quality of the welds. The results show that the tensile strength of the raw material is 648.26 kgf/mm². After welding, the tensile strength for the MIG-welded material is 540.79 kgf/mm², while the SMAW-welded material achieves a higher tensile strength of 616.17 kgf/mm². These values highlight the significant difference in performance between the two welding techniques. SMAW welding provides the best joint quality among the two methods, with a tensile strength value of 616.17 kgf/mm². This study underscores the importance of selecting the appropriate welding technique based on the desired strength and application, with SMAW proving superior for this particular material. These findings contribute valuable insights into material technology and welding, offering a reference for future industrial applications.
Analysis of the Implementation of Electronic Medical Records in Efficiency, Productivity, and Performance of Health Services at the Sriamur Bekasi Health Center with the Wellbeing Method W.D, Himas; Ria Rajagukguk, Jenni; Muktiono, Ayub
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.v4i4.589

Abstract

The application of digital technology in health services has significantly improved efficiency and service quality. Electronic Medical Record (E.M.R.) is a technology implementation that records, stores, and manages patient medical data electronically. This study aims to analyze the impact of using E.M.R. on the productivity and efficiency of health services at the Sriamur Bekasi Community Health Center. This research uses the Wellbeing method with a qualitative approach. Primary data was collected through in-depth interviews and questionnaires distributed to the medical and administrative staff of the Sriamur Community Health Center. Secondary data on the number of patients before and after E.M.R. implementation was also analyzed. The leading indicators measured include service time, quality, error rate, and human resource utilization. The research results show a significant increase in productivity and efficiency after E.M.R. implementation. The number of patients served per day increases, and the time required for recording and retrieving patient data is reduced. Respondents indicated high satisfaction with using E.M.R., with the majority assessing that the system helps speed up administrative processes and improve the accuracy of medical data. Implementing E.M.R. at the Sriamur Bekasi Community Health Center has increased the medical staff's operational efficiency and productivity. This technology makes it easier to access and manage patient data and reduces the administrative burden so that medical personnel can focus more on health services. To maximize the benefits of E.M.R., ongoing training and regular evaluation of existing systems and procedures are required.
Application of Hashing Method in Medical Term Dictionary Application Irjii Matdoan, Moh. Rahmat; Rasna, Rasna; M Saleh, Sahlan; Sah, Andrian; Lamsir, Seno
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.v4i4.662

Abstract

The number of words or terms that appear and are used in human life makes it difficult for a person to master all of these words. To overcome this, these words or/terms are compiled in a dictionary, one of which is a dictionary of medical terms. This research aims to create software that can perform its function as a medical terminology dictionary program and implement the Hash method into software that can be used for data search. This research applies the hash method to find the hash value using a rolling hash. The hash method uses input text to be transformed into numbers, thus speeding up the computational process. The application of the hash method in the addressing/storage process in the Database is very efficient in terms of time and place. The output appears in the form of word meaning and hash value. The hash value is raised to know the value of the searched term using the rolling hash formula. With this research, it is hoped that searching for the meaning of medical terms in a computerized manner can be consistent with manual searches.
Gold Price Prediction Using Long-Short Term Memory Algorithm Based on Web Application Dalimunthe, Rodiatul Adawiyah; Adek, Rizal Tjut; Agusniar, Cut
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.724

Abstract

Gold is a significant investment asset, particularly in times of economic instability. Various factors, including decisions by financial authorities, inflation, and global economic dynamics, influence the fluctuations in gold prices. Accurately predicting gold prices is valuable for investors when making investment decisions. This study aims to utilize the Long Short-Term Memory (LSTM) algorithm for predicting gold prices and develop a web-based application connected to Yahoo Finance to acquire real-time gold price data. The LSTM algorithm was chosen because it handles time series data with long-term dependencies. LSTM has an architecture that allows the model to retain relevant information over long periods and forget irrelevant data. In this study, the developed LSTM model produced a Mean Absolute Error (MAE) of 19.81, indicating that the average prediction deviates by approximately 19.81 units from the actual value. Furthermore, an average Mean Absolute Percentage Error (MAPE) of 0.83% demonstrates the high prediction accuracy. The results of this study show that LSTM is an effective method for predicting gold prices. The resulting web application allows users to access gold price projections interactively, thereby assisting investors in making more accurate and data-driven decisions with easy access. Additionally, the web application offers customizable features such as adjusting prediction parameters and visualizing results in real time.  These features not only enhance user engagement but also improve decision-making processes. This research provides a practical tool for optimizing investment strategies in a dynamic economic environment by leveraging machine learning and seamless web integration.
Development of Plastic Shredder Technology to Support Plastic Waste Reduction Harjuma, Harjuma; Tahir, Abdul; Sirama, Sirama; Aswar, Aswar
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.v5i1.643

Abstract

The plastic waste problem in Indonesia has reached a severe level. Data from the National Waste Management Information System shows that Indonesia produces around 17 million tons of plastic waste yearly. However, only approximately 66.47% of this plastic waste undergoes recycling, with the remainder ending up in landfills or polluting the sea. This condition places Indonesia in second place in the world after China in terms of the amount of plastic waste produced, making it a country with a plastic waste emergency. This article discusses the development of plastic recycling machine technology as a solution to overcome the plastic waste problem in Indonesia. With a production of around 17 million tons of plastic waste per year, Indonesia faces significant challenges in plastic waste management. Low efficiency often constrains the effectiveness of plastic recycling as a solution. Therefore, this study aims to design and improve the efficiency of a plastic shredder machine. This machine uses specially designed rotating blade technology to produce high-precision plastic flakes. Additionally, we have updated the transmission system to reduce vibration and implemented other innovations to enhance the machine's capacity to shred various types of plastic. We expect this machine to decrease greenhouse gas emissions from the recycling process and lower operational costs. This study shows that the developed plastic shredder machine can work effectively and efficiently, meeting the research objectives of producing plastic flakes quickly. Thus, we expect this machine to significantly reduce plastic waste in Indonesia and support environmental conservation efforts.
Corona Discharge Detection Analysis on Aluminum and Iron Conductors by Point Field Electrode Method Nugroho, Satrio Dwi; Setiabudy, Rudy; Negara, Roy Bayu; Aliffianti Ulfiah, Shindy; Azhary Arsal, Fanji
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.v5i1.706

Abstract

Currently, Southeast Asia's highest primary energy usage is in Indonesia. Electrical infrastructure like transmission and distribution will be directly responsible for the high energy use. More distribution electrical networks will be in place due to the growing demand for electricity. So, the more significant the electrical disruptions that arise. Corona is one type of electrical disruption in the medium voltage network system. Corona is caused by a partial release of electrical charge, meaning the charge does not entirely pass through both conductors. The surrounding air experiences dielectric stress, producing noise, purple light, and a characteristic smell. Corona's appearance may seriously affect electrical equipment. Additionally, there are other ways to identify the appearance of corona, including using the senses of sight, smell, and hearing. The hearing approach involves utilizing a sound-capable sensor to detect corona. By taking pictures of the location of the corona, one can use sight to detect it. On the other hand, an ozone gas sensor is used in the scent approach. The author attempted to use the method of scent in this investigation. An ozone sensor will record corona disruptions that occur at the delivery site. Oxygen can be broken down into ozone because the air around the corona may ionize the surrounding air.

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