cover
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
ISSN : -     EISSN : 27752674     DOI : -
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
Articles 593 Documents
Assessing the Tax Amnesty Program in Indonesia Through System Success and Trust Models Muji, Muji; Maupa, Haris; Cokki, Cokki
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.958

Abstract

The success of a Tax Amnesty Program (TAP) in developing countries such as Indonesia depends not only on fiscal policy execution but also on how taxpayers perceive and trust the program. This study integrates the Information System Success Model with the trust construct to empirically examine the factors affecting TAP performance from a citizen-centric perspective. Using a quantitative approach, the research involved 414 Indonesian taxpayers selected through stratified random sampling, with data analysed using SmartPLS 3.0. One hundred eighty-seven valid responses were retained after a filtering process based on TAP knowledge awareness. The proposed model includes six constructs: Information Quality (INQ), Program Quality (PGQ), Service Quality (SVQ), Taxpayer Trust (TPT), Taxpayer Satisfaction (TSF), and Net Benefits (NBF). The structural model revealed that INQ significantly affects both TPT and TSF, and that TSF has the most decisive influence on NBF. However, PGQ and SVQ did not considerably impact TPT, suggesting that trust in TAP may be influenced more by institutional and cultural factors than perceived technical features. The findings highlight the necessity to enhance tax information accuracy and transparency while strengthening public trust and satisfaction. This study provides an integrative model to evaluate TAP success and offers practical insights for policymakers aiming to improve taxpayer participation through trust-based interventions. The novelty lies in quantitatively integrating information systems and behavioural trust constructs within the tax amnesty framework.
Structural Study on the Impact of Aerodynamic Loads on Winglet Support Structures Morales, Eduardo; Chávez, Mario; Abarca, Griselda; López, Yunuén; Mares, Jesús; Cruz, Juan
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.888

Abstract

Aerodynamic spoilers are intended to reduce drag forces and generate lift on surfaces. However, dynamic operating conditions can affect their performance and that of their supporting structures. This study evaluates the impact of aerodynamic loads on a spoiler's supporting structure using fluid-structure interaction (FSI) analysis. Three NACA airfoil models were analyzed to benchmark their structural behavior. Simulations using Ansys® software modeled the spoiler's airflow-induced pressures and structural displacements, considering dynamic loads derived from a similarity study between a full-scale (1:1) vehicle model and a scaled-down (1:6) version. The results revealed the mechanical behavior of the support under different flow conditions, assimilating the forces produced and how this is affected by the aerodynamics produced on the spoiler, generating data that informs the evaluation of this system and ensures reliability. The optimization of the support model allows for greater control over measurements, which is of great importance for wind tunnel testing, ensuring that evaluations are not affected by mechanical displacements of the support. The CAD model, combined with finite element Methods (FEM), allows visualization of the mechanical and aerodynamic behavior before manufacturing, thereby reducing the time and costs associated with physical testing and allowing critical failure points to be identified. The work includes studies through simulations of the aerodynamic and structural systems of the spoiler supports, generating data that helps understand and facilitate the evaluation of these systems and guarantees their reliability. Computational simulation is an essential tool for development and validation in the automotive sector.
Clustering of Futsal Interest Level Among Students K-Means Method Bagaswara, Faris; Muthalib, Muchlis Abd; Meiyanti, Rini
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.879

Abstract

Futsal is a small field sport with a time of 20 minutes per round. Malikussaleh University is one of the universities that initiated Futsal as a health sport for its students. To determine students' interest in Futsal, clustering was carried out using the K-Means method on 100 students of the Faculty of Engineering involved in this study. This research proposal uses five variables: time variables, field facilities, motivation, environment, and plans. This study aims to help students at Malikussaleh University of Engineering find out what level of interest students have in Futsal. Grouping is based on data mining to determine the pattern of each sequence. Data mining includes tracking patterns, classification, association, outlier detection, clustering, regression, and forecasting. This study also led to an innovative grouping system using the Python programming language and MySQL as a database. The K-Means Clustering algorithm used in this grouping system states that out of 100 Malikussaleh University students, 20 people are students who have a professional player futsal interest level (C1), 28 students have a regular player futsal interest level (C2), five students have a Beginner player futsal interest level (C3), 47 students have an amateur player futsal interest level (C4). The study results showed that 20% were professional, 28% were regular, 5% were beginner, and 47% were amateur players. These results indicate that the interest in Futsal for Malikussaleh University students is still minimal, so encouragement is needed for students to participate in futsal activities.
Kuntilanak as a Runtime Entity: Technical Integration of Javanese Folklore Using Manga Matrix in a 2D Horror Game Saurik, Herman Thuan To; Rosyid, Harits Ar; Wibawa, Aji Prasetya; Setiawan, Esther Irawati
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.961

Abstract

In this work, Kuntilanak, a mythological creature from Javanese mythology, is used as a dynamic element in a 2D horror game to provide a technical framework for integrating culturally infused folklore into interactive gaming. The design process breaks down the character's appearance, attire, and personality into workable technical specifications using the Manga Matrix framework as a guide. With C# scripted behaviours like unexpected appearances, animation state changes (controlled by Unity's Animator Controller), audio triggers (laughing, crying), and interactive reactions to in-game objects like yellow Bamboo (for hiding) and scissors (for repelling), Kuntilanak was created as a sprite-based runtime entity inside the Unity game engine. The character can be dynamically instantiated thanks to this technical approach, which supports procedural horror encounters and is consistent with traditional narratives. The effectiveness of the suggested technological integration was validated by a quantitative assessment using a Likert scale (N=50), which showed 82.2% agreement on cultural authenticity and 79.5% on emotional impact. The findings support the methodology's capacity to turn folklore characters into functional game entities and offer a replicable model for serious games that consider cultural sensitivity. The findings support the methodology's capacity to turn folklore characters into functional game entities and provide a replicable model for serious games that consider cultural sensitivity, with direct implications for designing engaging educational experiences that promote cultural heritage preservation.
Compositional Engineering of Chitosan–Potato Starch–Kaolin Biocomposites: Tuning Physicochemical Properties for Wound Dressing Applications Suryati, Suryati; Mulyawan, Rizka; Meriatna, Meriatna; Khairunnisa, Cut; Maulinda, Leni; Hasfita, Fikri
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1001

Abstract

An investigation has been made to predict the effects of various Kaolin fillers with different concentrations from 4 to 10 percent on the properties of Chitosan and Potato Starch Bio-composite for wound dressing applications. The procedure was to prepare the chitosan and starch in equal proportions, apply the filler to the hydrogel, dry it, and characterize it. The characterizations of the synthesized bio-composite were its absorption percentage, mechanical test, presented functional groups, and antibacterial test. It was found out that the bio-composite with the highest swelling percentage 6% Kaolin, showed 128.65% swelling. Moreover, the highest percentage of bio-composite absorption was 65.62% with 8% Kaolin added. In addition to that, adding 4% Kaolin produced the highest tensile strength with the value of 75.6 MPa. Besides, the most significant elongation percentage was 151.60% in the addition of 4% Kaolin. Qualitatively, the synthesized bio-composites exhibited functional groups of OH, alkynes, and carboxylic acid. Finally, the bio-composite with Kaolin filler significantly performed in antibacterial activities.
The Influence of Transformational Leadership and Work Motivation on Job Satisfaction, with Contingent Reward as a Moderating Variable Awibowo, Yogo; Ramli, Abdul Haeba
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.v5i1.868

Abstract

This research analyzes the influence of transformational leadership and work motivation on job satisfaction, with contingent reward as a moderating variable. Transformational leadership and work motivation influence job satisfaction, while contingent rewards act as awards based on performance achievements. This research uses a quantitative approach with the Structural Equation Model Partial Least Squares (SEM-PLS) method. Data was collected by distributing questionnaires using Google Forms involving 100 respondents. The population in this research study was PT Tembaga Mulia Semanan Tbk; the sampling technique used was purposive sampling, namely permanent employees of PT Tembaga Mulia Semanan Tbk. The sample for this research was permanent employees of PT Tembaga Mulia Semanan Tbk. The findings of this research show that transformational leadership and work motivation influence job satisfaction. In addition, contingent rewards were not proven to moderate the relationship between transformational leadership and job satisfaction. In contrast, contingent rewards were proven to moderate the relationship between work motivation and job satisfaction. This research provides implications for companies developing a transformational leadership style and creating a reward system to increase team member motivation and job satisfaction.
Evaluating User Satisfaction and Public Engagement in Local Government Social Media Aman, Azwar; Imtihan, Khairul; Rodi, Muhamad
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.905

Abstract

Through an integrated model, this study investigates the determinants of user satisfaction, trust, engagement, and continuance intention in local government social media. While social media has become a vital tool for digital governance, its adoption in semi-urban regions often encounters institutional and behavioral challenges. To address this gap, this research develops and validates a framework combining the Technology Acceptance Model (TAM), the E-Government Adoption Model (e-GAM), and the Importance-Performance Map Analysis (IPMA). Using a quantitative approach and PLS-SEM via SmartPLS 4.0, data from 355 respondents in Central Lombok Regency, Indonesia, were analyzed across eleven constructs, including perceived usefulness, ease of use, Transparency, interaction, digital literacy, and trust. Results show that Transparency, Interactivity, and digital literacy significantly impact user satisfaction, whereas traditional TAM factors were insignificant. User satisfaction strongly influenced both public engagement and continuance intention. The IPMA findings highlight Transparency and Interactivity as high-priority areas for improvement. These results underline the importance of institutional attributes in shaping digital public engagement, particularly in developing contexts.
Blockchain Technology Model on Virtual Museum as an Effort to Enchance Balinese Cultural Metaverse Sudipa, I Gede Iwan; Aditama, Putu Wirayudi; Yanti, Christina Purnama
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.972

Abstract

The preservation of cultural heritage in the digital era faces numerous challenges, particularly in securing authenticity, ownership, and preventing damage or loss of digital assets. This study explores the implementation of blockchain technology within a virtual museum dedicated to Balinese culture as part of the broader metaverse environment. Blockchain provides a decentralized and immutable system to record and manage digital cultural assets, ensuring transparency and security in their provenance and ownership. This paper presents a blockchain model for a virtual museum that includes features such as digital tokens and smart contracts, enabling automated processes such as the lending, licensing, and sale of digital artifacts. The integration of this model with metaverse technology creates an interactive and immersive environment for users to explore Balinese culture virtually, while simultaneously ensuring the preservation of its digital representations. The model is developed using the Rapid Application Development (RAD) methodology, enabling quick prototyping and system adjustments based on user requirements. Testing results demonstrate the system's functional success in terms of blockchain transactions and user interaction in the virtual environment. Despite challenges such as regulatory and infrastructural constraints, the findings indicate that the blockchain model has strong potential for application in digital heritage preservation. This study concludes by highlighting the benefits of blockchain in securing cultural assets and its role in promoting the Balinese digital economy through cultural tourism and virtual experiences.
Enhancing Teks Summarization of Humorous Texts with Attention-Augmented LSTM and Discourse-Aware Decoding Supriyono, Supriyono; Wibawa, Aji Prasetya; Suyono, Suyono; Kurniawan, Fachrul
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.932

Abstract

Abstractive summarization of humorous narratives presents unique computational challenges due to humor's multimodal, context-dependent nature. Conventional models often fail to preserve the rhetorical structure essential to comedic discourse, particularly the relationship between setup and punchline. This study proposes a novel Attention-Augmented Long Short-Term Memory (LSTM) model with discourse-aware decoding to enhance the summarization of stand-up comedy performances. The model is trained to capture temporal alignment between narrative elements and audience reactions by leveraging a richly annotated dataset of over 10,000 timestamped transcripts, each marked with audience laughter cues. The architecture integrates bidirectional encoding, attention mechanisms, and a cohesion-first decoding strategy to retain humor's structural and affective dynamics. Experimental evaluations demonstrate the proposed model outperforms baseline LSTM and transformer configurations in ROUGE scores and qualitative punchline preservation. Attention heatmaps and confusion matrices reveal the model's capability to prioritize humor-relevant content and align it with audience responses. Furthermore, analyses of laughter distribution, narrative length, and humor density indicate that performance improves when the model adapts to individual performers' pacing and delivery styles. The study also introduces punchline-aware evaluation as a critical metric for assessing summarization quality in humor-centric domains. The findings contribute to advancing discourse-sensitive summarization methods and offer practical implications for designing humor-aware AI systems. This research underscores the importance of combining structural linguistics, behavioral annotation, and deep learning to capture the complexity of comedic communication in narrative texts.
Application of Data Mining with the Least Square Meth-od to Predict Web-Based Drug Inventory Halim, Abdul; Safwandi, Safwandi; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.897

Abstract

Drug supplies are an important aspect because of their large value and large quantity and are an important factor in supporting health services in community health centers. Ineffective drug management, especially in terms of needs planning, can lead to excess or shortage of stock. Both conditions have negative impacts, such as budget waste, drug expiration, or even disruption of patient services due to unavailability of drugs. At the Pante Bidari Health Center UPTD, the drug needs planning process is still carried out manually or based on rough estimates without using sophisticated technology. This study aims to design and build a web-based drug inventory prediction system using the Least Square method. The Least Square method was chosen because it is able to carry out the forecasting process quickly and with good results. In this study, the type of data obtained is drug usage data, data is grouped based on each supplier, from the health center information system during a certain period. After going through the pre-processing and calculation stages, the predicted values are calculated and displayed through a web-based system designed to be easy to use by health center officers. The web system developed in this study uses PHP as the programming language and MySQL as the database, implementing the Least Square method effectively. The results of this study are a drug usage prediction application for the future, applying the Least Square method, which displays drug usage data over a certain period. The system will present the data in the form of a table. Based on testing the drug usage data for Acyclovir Cream 5 mg from January 2023 to August 2024, the prediction result for the following month, September 2024, is estimated to be 38.415, which is rounded to 38 units of the drug.