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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
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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 603 Documents
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Visual Design Optimisation for Increased Conversion Rate on Digital Platforms Haris, Risma; Zakaria, Noor Azura; Setiyowati, Harlis; Vaher, Kristina; Pasha, Lukita
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1761

Abstract

In the ever-evolving digital age, visual design optimisation has become an important focus for companies operating on digital platforms. Attractive, brand-appropriate visual design can influence user perception and increase engagement and conversions on the platform. This study aims to investigate the influence of visual design variables, including design quality and information engagement, on user engagement and conversion rates on digital platforms. The Structural Equation Modelling (SEM) method with SmartPLS was used to analyse data from online surveys involving respondents using digital platforms. The results of the analysis show that the quality of visual design has a significant influence on user engagement and conversion rates, while informational engagement also contributes positively to user engagement. The implication of these findings is the importance of paying attention to visual design and effective information delivery in improving user interaction and achieving business goals on digital platforms. The study provides valuable insights for digital platform developers and graphic design professionals in designing engaging and effective user experiences.
Evaluation of Weld Joint Quality in Drill Pipe Based on Heat Input Variation in Bending and Microstructure Test Sebayang, Alexander; Tarigan, Efrata; Kamil, Idham; Sutrisno, Joko
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1795

Abstract

Drill pipes are critical components in oil, gas, and geothermal drilling operations, serving as conduits for circulating drilling fluids from the surface to the borehole while simultaneously transmitting mechanical loads. Due to severe operating conditions, including high pressure, cyclic loading, and corrosive environments, the integrity of welded joints in drill pipes must be ensured through appropriate welding methods and quality evaluation. This study investigates the effects of heat input variations on the mechanical properties and microstructural characteristics of welded joints in ASTM A106 Grade B steel pipes produced using Shielded Metal Arc Welding (SMAW) and Gas Metal Arc Welding (GMAW). Welding was performed using a single V-groove butt joint configuration in the 1G position with a constant welding current of 140 A. SMAW welding employed E7018 electrodes, while GMAW utilized ER70S-6 filler wire with a shielding gas mixture of 70% argon and 30% CO?. Mechanical performance was evaluated through bending tests, including root and face bends, in accordance with applicable standards. In addition, microstructural analysis of the weld metal and Heat Affected Zone (HAZ) was conducted using optical microscopy after chemical etching to identify phase distribution and grain morphology. The bending test results revealed that SMAW-welded joints exhibited higher ultimate stress (?u) values than GMAW-welded joints. The highest ?u value of 1327.14 MPa was obtained from the SMAW face bend specimen, while the lowest value of 922.10 MPa was recorded for the GMAW root bend specimen. Furthermore, face-bend tests consistently yielded higher ?u values than root-bend tests for both welding methods, indicating superior mechanical resistance at the weld surface. Microstructural observations showed that SMAW welds exhibited coarser ferrite–pearlite grain structures due to higher heat input and slower cooling rates associated with flux-covered electrodes. In contrast, GMAW welds exhibited finer, more homogeneous microstructures due to lower heat input and faster cooling rates. These differences in microstructure significantly influenced the mechanical behaviour of the welded joints. The findings of this study provide valuable insights into selecting welding methods for ASTM A106 Grade B pipes, particularly in applications that require a balance between mechanical strength and microstructural stability
Comparison of Support Vector Machine and Naïve Bayes Algorithms Based on TF-IDF in Online Gambling Website Detection Refianti, Rina; Alhafiz, Husein
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1794

Abstract

The rapid growth of digital technology has significantly accelerated the spread of illegal online content, particularly gambling websites, which threaten social stability and regulatory enforcement. To address this issue, this study develops an automated detection system for online gambling sites using text classification with the Term Frequency–Inverse Document Frequency (TF-IDF) approach. A total of 1,225 website URLs were collected through web scraping, and after preprocessing, 1,166 valid entries were manually labeled into two classes: gambling and normal. The preprocessing steps included cleaning, tokenizing, stopword removal, stemming, and domain parsing, followed by feature extraction using TF-IDF, which generated 2,426 numerical features. To mitigate class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied to the training dataset. Two machine learning algorithms were implemented and compared: Support Vector Machine (SVM) with multiple kernels (Linear, RBF, Polynomial, and Sigmoid) and Multinomial Naïve Bayes (MNB). Experimental evaluation was conducted using accuracy, precision, recall, specificity, and F1-score metrics. Results demonstrate that SVM with the RBF kernel achieved the best performance, with an accuracy of 91.88% and an F1-score of 93.70%, while MNB obtained an accuracy of 88.46% and an F1-score of 91.00%. These findings confirm that SVM, particularly with the RBF kernel, delivers more stable and accurate performance in distinguishing gambling websites from normal ones. The proposed system offers a reliable foundation for the development of automated tools to monitor, detect, and block illegal online gambling content, thereby supporting regulatory enforcement and reducing the negative societal impacts of online gambling.
A Cost-Effective Digital Solution for Community Libraries: A TAM Evaluation of a CMS-Based Book Circulation System Kamila, Vina Zahrotun; Subastian, Eko; Widagdo, Putut Pamilih; Rizawanti, Riftika
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1766

Abstract

The digital transformation of community-based libraries in developing regions requires careful consideration of user acceptance factors for successful implementation, particularly when managing physical book collections through online systems. This study evaluates user acceptance of a CMS-based online book circulation system implemented in "Ramah Baca," a community library in East Kalimantan, Indonesia. The system utilizes WordPress CMS with a modified WooCommerce plugin specifically adapted for physical book lending operations. Using the Technology Acceptance Model (TAM), this research examines how Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Behavioral Intention to Use (BI), and Actual Use (AU) influence users' Attitudes Toward Using (ATU) the CMS-based  book circulation system. A quantitative survey of 40 active users revealed that Perceived Usefulness (? = 0.511, p = 0.002) and Behavioral Intention to Use (? = 0.456, p = 0.017) significantly positively affected Attitude Toward Using, while Perceived Ease of Use (p = 0.831) and Actual Use (p = 0.701) showed no significant partial effects. Collectively, all variables significantly influenced Attitude Toward Using (F-value = 24.959, p 0.001). The findings suggest that for community library physical book circulation systems in developing regions, enhancing perceived usefulness and fostering long-term engagement are more critical than focusing primarily on ease of use. The successful adaptation of WordPress and WooCommerce demonstrates the viability of using modified e-commerce platforms for physical book management in resource-constrained environments.
The Role of the Mining Sector in Regional Economic Development: A Case Study of East Kutai Regency Ismail, Ardhan; Ananda, Dea Mierela; Winarno, Agus; Oktaviani, Revia; Setiawan, Arif; Winonazada, Rety; Supriyanto, Supriyanto
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1765

Abstract

This study examines the role of the mining sector in East Kutai Regency's regional economic development, where mining contributes over 40% to GRDP. An integrated analytical framework combining Input-Output analysis with overlay analysis techniques (Location Quotient, Klassen Typology, and Shift-Share) was employed to comprehensively assess the mining sector's structural position, inter-sectoral linkages, and development impact. The Input-Output analysis utilized East Kalimantan's 2016 table updated via RAS method to generate regency specific coefficients, while overlay analysis employed GRDP statistics for 2014 to 2023 to evaluate spatial concentration and competitive dynamics. Input-Output findings reveal the mining sector exhibits weak backward linkage of 1.0 and forward linkage of 0.95, positioning it in Quadrant III with minimal inter-sectoral integration and limited multiplier effects on the regional production system. Overlay analysis through Location Quotient demonstrates the mining sector's highest comparative advantage at 1.76, indicating strong export orientation and spatial concentration. However, Klassen Typology classifies it in Quadrant IV as a lagging sector with growth coefficient of 0.94 and contribution coefficient of 0.93, reflecting stagnant development performance. Shift-Share analysis within the overlay framework confirms the mining sector's severe competitiveness decline at negative 35,714.67, the worst among seventeen evaluated sectors. The convergent results from Input-Output and overlay analyses indicate the mining sector operates as an extractive enclave with insufficient value-added generation and constrained developmental spillovers. Enhancing the mining sector's developmental role requires strengthening backward and forward linkages through downstream processing facilities, local content requirements, and technology transfer mechanisms to transform the sector from an extractive enclave into an integrated regional growth driver.
Multiperson Automated Attendance System Based on Face Recognition Using YOLO and DeepFace with Active Learning Suprihanto, Didit; Wirawan, Adi Pandu; Saputra, Kahlil Gibran; Harjanto, Arif; Hakim, Imam Muhammad; Nugroho, Happy
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1772

Abstract

Accurate student attendance tracking is essential in academic environments, yet traditional methods remain inefficient and vulnerable to manipulation. This research presents a classroom attendance system based on facial recognition that integrates YOLO for multiperson face detection and the SFace model from the DeepFace framework for feature extraction and identity matching. A key contribution of this study is the implementation of an Active Learning mechanism that enables the system to update its embedding Database using user-provided corrections, enabling continuous adaptation to real classroom conditions. The system was developed as a Python-based desktop application and evaluated using 38 group images captured with various devices under uncontrolled lighting, diverse head poses, occlusion, and different classroom densities. Performance was assessed using accuracy, False Rejection Rate (FRR), and False Acceptance Rate (FAR) across two scenarios: before and after Active Learning. Experimental results show a substantial improvement after the learning process, with accuracy increasing from 52.0% to 96.6%, while maintaining a low FAR of 0%. These findings demonstrate that Active Learning effectively enhances recognition performance by enriching the embedding Database with real-world facial variations that do not present during initial registration. Overall, the proposed system highlights the importance of integrating Active Learning into face recognition–based attendance applications to improve robustness and adaptability in unconstrained multiperson classroom environments.
Biosorption of Ni(II) Ions from Aqueous Solution Using Immobilised Cells of Bacillus cereus Khairunnisa, Khairunnisa; Nur, Ahmad Moh; Pisceselia, Dian Febrianti; Fira, Aulia Almag; Aldeani, Putri
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1773

Abstract

In the present study, immobilised Bacillus cereus cells were used as a biosorbent for the removal of Ni2+ ions from aqueous solution. Bacillus cereus was immobilised with 3% sodium alginate and 2% CaCl2. The adsorption studies of bacteria were investigated in batch mode. Optimum biosorption conditions were determined as a function of pH, biosorbent dose, Ni2+ ion concentration, and contact time. The removal of Ni2+ ions increases with increased dose of biosorbent, while the adsorption capacity decreases with increasing dose of biosorbent. The equilibrium adsorption data were analysed using the Langmuir and the Freundlich isotherm models. The regression coefficient (R2) for the Langmuir isotherm was 0.9822 at a contact time of 60 minutes and pH 6. The maximum monolayer adsorption capacity (qe) of the biosorbent, as obtained from the Langmuir adsorption isotherm, was found to be 57.80 mg/g with the Langmuir adsorption constant ( 0,086 L/mg. RL values range from 0 to 1, as shown, supporting the previous observation that the Langmuir isotherm was favourable for Ni2+ ion adsorption. The adsorption kinetics were analysed using the pseudo-first-order and pseudo-second-order models. Kinetics of Adsorption followed pseudo-second order with a regression coefficient of pseudo-second order of  R2 0.98, the coefficient of rate constant for pseudo-second order () obtained 0.004 g/mg.min, pointing out that the adsorption mechanism is chemosorption or ion exchange. FTIR spectrum of biosorbent revealed the presence of OH, NH, C-H, C=O and COO-. SEM-EDX was used to analyse the surface morphology and texture of the biosorbent.
Biodecolorization of Azo Dye using Trametes sp. UM 12 Isolated from East Kalimantan Wulandari, Retno; Mitha, Mitha; Kahar, Abdul; Heryadi, Eko; Fahmi, Muhammad; Fathoni, Rif'an; Firyaal, Rosa Assyifa; Rangga, Wahyudi
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1777

Abstract

The textile industry releases substantial amounts of azo dyes, including Reactive Black 5 (RB5), which persist in the environment due to their stable chemical structures and toxic properties. White-rot fungi-based biological treatment serves as an environmentally friendly and affordable method for removing dyes from water through the production of ligninolytic enzymes, including laccases. The research assesses Trametes sp. UM 12's decolourisation ability compared to Phanerochaete chrysosporium for RB 5 decolourisation efficiency. The research examined the effects of pH, temperature, agitation speed, and initial RB5 concentration on fungal decolourisation. The optimal removal of Trametes sp. was achieved at pH 5 and 30–35°C with 150 rpm agitation, resulting in more than 95% colour removal within 48–72 hours, and it reached 99.7% decolourization after 96 hours at 100 mg/L RB5. The process removed 98.7% and 96.8% of the dye at 100 mg/L and 250 mg/L after 120 hours, but only 52.1% and 31.8% at 500 mg/L and 1000 mg/L, respectively. The process shows substrate inhibition and enzyme saturation at high pollutant concentrations. The research shows Trametes sp. UM 12 outstanding performance, making it suitable for treating wastewater in tropical environments. 
Supplier Selection for Small and Medium Enterprises: An Integrated DEMATEL- ANP Approach for Decision Making Utomo, Dutho Suh; Asdi, Ridzky Zul; Tosungku, La Ode Ahmad Safar
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1783

Abstract

ABC Bakery, a small and medium enterprise (SME), relies heavily on high-quality raw materials to meet the growing demand of its local market. Given the importance of raw material quality in product outcomes, selecting the right supplier becomes a critical task. This research applies the DEMATEL and ANP methods to identify the most suitable supplier for ABC Bakery. Through DEMATEL, the relationships between various supplier selection criteria, including Price, Quality, Delivery, Flexibility, and Responsiveness, are analysed to understand how these factors interrelate. The ANP method is then used to perform pairwise comparisons of both the criteria and the suppliers. The results reveal that Price and Quality are the most influential factors in the supplier selection process, with Price having the greatest weight, followed by Quality. On the other hand, Delivery, Flexibility, and Responsiveness have relatively lower weights, indicating they play a less critical role than Price and Quality. Based on the ANP analysis, Supplier 1 emerges as the preferred supplier, with the highest weight of 0.44, followed by Supplier 2 (0.34) and Supplier 3 (0.22). This study demonstrates that using DEMATEL and ANP enables a more informed, structured supplier selection process, helping ABC Bakery make better procurement decisions aligned with its operational and quality goals.
Comparing Urban Qualities: A City Livability Framework Applied to Jakarta and Nusantara Capital City Utomo, Pandu K.; Azizah, Anisah; Nopianti, Putri; Kholifah, Nur Asriatul; Tristanto, Kartika; Bodromulatsih, Ratri
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1784

Abstract

This research develops a systemic framework for analyzing urban livability by applying the DPSIR (Drivers, Pressures, States, Impacts, Responses) model to the contrasting cases of Jakarta, Indonesia's established megacity, and Nusantara Capital City (IKN), the planned new capital. Through a systematic literature review and comparative case analysis, we move beyond static indicators to reveal the dynamic causal mechanisms shaping livability. The findings indicate that Jakarta's unmanaged organic growth has established a negative feedback loop of uncontrolled urban intensity, resulting in three interrelated consequences: significant environmental deterioration, substantial economic losses from persistent congestion, and compromised resident well-being. In contrast, IKN's "Forest City" plan represents a comprehensive attempt to integrate density, Diversity, access, and Form from the outset. However, this planned approach is risky. If neighbourhoods lack lively shops and services, people may not use the excellent public transit. Also, if new development makes housing too expensive, it could push out the very people the city is meant to serve. The DPSIR framework proves invaluable for diagnosing these complex interdependencies, offering a practical tool for anticipatory governance. The comparative analysis underscores that creating livable cities requires managing entire causal pathways through integrated, adaptive policies rather than pursuing isolated interventions. This research provides critical insights for Indonesian urban policy and contributes a robust analytical approach to the global pursuit of cities that balance development with human dignity and resilience.

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