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Dahlan Abdullah
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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 80 Documents
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Search results for , issue "Vol 5, No 3 (2025)" : 80 Documents clear
Design of Semujur Bridge with Diagonal Steel Box Arch Bridge Alghiffary, Rizqi; Junianda Velantika, Griselda; Eka Putri, Karina Melawati; Dewi Widowati, Elok; Fauzan Akbari, 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.v5i3.900

Abstract

Transportation is an integral part of social life. One of the structures that can support transportation is the bridge. The construction of the Semujur Bridge will be planned to meet and support transportation needs. This bridge is expected to be a new connecting bridge to cut travel time in Pangkal Pinang City. Semujur Bridge, with a width of 20 meters and a total length of 100 meters, is planned to use a steel arch bridge because the arch bridge can reduce the bending moment on the bridge. The bridge uses a box girder cross section because the arch bridge with a steel box cross-section is considered more economical and has higher flexural strength and torsional stiffness. Semujur Bridge will also have a diagonal arch. With the new construction design, it is expected to be a structurally strong bridge, both against earthquake loads and bridge dynamic loads. As a result, in this study, it was found that the longitudinal girder WF 600x300x14x23, transverse girder GIRDER 1500x400x30x30, tie beam BOX GIRDER2500x2000x40x40, and Macalloy 520 (M100) hanging cable with a diameter of 97 mm.
Sustainable Interior Design for Urban Cafés: Integrating Urban Culture and Smart Technology to Enhance Work-Oriented Comfort Setyaningrum, Ruth Puji; Pranajaya, I Kadek; Nutrisia Dewi, Ni Made Emmi
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.v5i3.1009

Abstract

The rise of urban culture and flexible work trends has redefined cafés as alternative workspaces, prompting the need for interior designs that are both sustainable and adaptive. However, many café environments still lack a holistic integration of local cultural values and emerging technologies to support prolonged, productive work. This study proposes a sustainable interior design model for urban cafés that combines cultural identity with innovative technological solutions to enhance user comfort. Using a qualitative methodology, the research involved field observations, semi-structured interviews, ergonomic evaluations, and digital environmental simulations, conducted in Renon, Denpasar—a vibrant urban area in Bali. Results indicate that incorporating cultural elements, such as material patterns, spatial layouts, and symbolic aesthetics, along with bright lighting, efficient ventilation, and ergonomic furniture, significantly improves functionality and user well-being. Users identified key comfort factors including lighting, furniture design, zoning, acoustics, and air quality. The study emphasizes the need for an interdisciplinary approach that fuses design engineering, local culture, and intelligent systems to create flexible, user-centered environments. Nine integrative design strategies are proposed to support both work productivity and cultural resonance. These findings provide practical insights for architects, designers, and café developers seeking to create meaningful and adaptable spaces in tropical urban settings. On a broader scale, the research contributes to the global discourse on non-traditional workspace design by presenting a replicable framework that aligns with sustainable urban development and the evolving work dynamics of the digital era.
Optimizing Annual Cropping Patterns Using A multi-objective Approach to Maximize Income and Minimize Soil Erosion Faqih, Nasyiin; Suripin, Suripin; Wulandari, Dyah Ari; Qomaruddin, Mochammad
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.v5i3.923

Abstract

This research investigates planting strategies to optimize productivity and conserve soil, focusing on potatoes and onions grown on erosion-prone land. Cross planting versus perpendicular plantings is evaluated using the MOORA (Multi-Objective Optimization Based on Ratio Analysis) method based on erosion rates, crop productivity, and economic outcomes. Meanwhile, data from six experimental contour and perpendicular planting plots are analyzed. The measurements for sediment and runoff are carried out using a dual-bucket system. After erosion calculations, the highest erosion rate was found in the contour planting of shallots at 385,65 tons/ha/year. At the same time, Potatoes planted perpendicular to the contour lines resulted in the lowest erosion rate, at only 114.51 tons/ha/year. Economic analysis, considering crop productivity and financial outcomes, revealed the highest productivity for potatoes planted perpendicular to the contour at Rp. 26.891 kg/ha, and the highest Income for the contour planting of potatoes at Rp. 215.133.360/ha. Optimization using the MOORA method, which calculates minimal erosion (cost) and maximal Income (benefit), yielded the highest value for potatoes planted along the contour at 0.409963. This was followed by perpendicular planting (0.075816) and shallots along the contour (0.067163). The MOORA method can provide optimal planting pattern recommendations by analyzing multiple criteria, including soil erosion and productivity, thereby offering practical guidance to farmers and policymakers in making more economically viable and sustainable planting decisions.
Implementation of Support Vector Machine Method with TF-IDF for Sentiment Analysis of the Al-Zaytun Islamic Boarding School Controversy Fardiansyah, T.; Yunizar, Zara; Maryana, Maryana
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.v5i3.883

Abstract

Al-Zaytun Islamic Boarding School in Indramayu, West Java, has attracted public attention on social media. The previous Eid prayer went viral because men and women stood in the duplicate prayer rows. In addition, several other aspects also drew public attention, such as the Friday prayer call style being different from the usual, introducing Jewish greetings, and allegedly allowing students to commit adultery, with the sin being redeemable for a certain amount of money. These controversies naturally sparked various reactions from the Indonesian public. This study employs the Support Vector Machine (SVM) method combined with Term Frequency-Inverse Document Frequency (TF-IDF) word weighting to evaluate public sentiment regarding various controversies associated with the Al-Zaytun Islamic boarding school. The data used in this research consists of tweets collected through a scraping process using Tweet Harvest with several relevant keywords. The results are analyzed to classify sentiment into three categories: positive, neutral, and hostile. The entire process is carried out systematically to obtain classification results that are both accurate and relevant to the ongoing social phenomena. Therefore, this study aims to implement the Support Vector Machine (SVM) algorithm to classify Twitter user sentiments towards the Al-Zaytun Islamic Boarding School controversy. The research collected 1,018 tweets through a scraping process using Tweet Harvest via Google Collab, with keywords such as "alzaytun," "zaytun," "panji gumilang," and "al-zaytun." The sentiment distribution consisted of 133 positive sentiments, 313 negative sentiments, and 572 neutral sentiments. Based on the classification evaluation results, the Support Vector Machine algorithm achieved an accuracy of 76%, a precision of 78.3%, a recall of 67.6%, and an F1 score of 69.6%.
Fake News Detection in Model Integral: A Hybrid CNN-BiLSTM Model Nyayadhish, Renuka; Jadhav, Chaya; Bhupati, Ch; Mabel Rose, R.A.; Prabhu, M
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.v5i3.1058

Abstract

The act of recognizing news that intentionally spreads false information via social media or traditional news sources is known as fake news detection. The characteristics of fake news make it difficult to identify. The spread of fake news and misleading information has increased dramatically due to social media's role as a communication tool and the quick advancement of technology. There is an urgent need for automated and intelligent systems that can differentiate between authentic and fraudulent information due to the fast dissemination of unverified content. The proposed hybrid model efficiently captures regional and worldwide relationships in textual details to address this by combining multiscale residual CNN and BiLSTM layers. The BiLSTM layers manage contextual representations and sequential dependencies, while the CNN layers concentrate on extracting deep local features. The model's capacity to recognize patterns of deception in textual content and comprehend semantic flow is enhanced by this dual architecture. The Edge-IIoT set data and the IoT-23 information from Aposemat were utilized in this study to assess the suggested framework empirically. A concept based on information transfer and sophisticated adaptive systems, we provide an understanding of outliers management paradigm of "generation–spread–identification–refutation" for identifying false information during emergencies. Findings from experiments clearly illustrate the superiority of the BiLSTM approach, demonstrating not only its state-of-the-art efficacy in identifying fake news but also its significant edge over traditional machine learning algorithms. This highlights the BiLSTM approach's critical role in protecting our information ecosystems from the ubiquitous threat of misinformation.
Comparative Study on the Implementation of Knowledge Management Systems for Aglaonema Farmers: A Structured Method and UML Object Approach Sugiarti, Yuni; Suroso, Arif Imam; Hermadi, Irman; Sunarti, Euis
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.v5i3.953

Abstract

Aglaonema farming holds significant economic potential, but challenges in knowledge management often hinder farmers' productivity. Knowledge Management Systems (KMS) provide effective solutions for managing knowledge efficiently. This study aims to conduct a comparative analysis of KMS implementation for aglaonema farmers using a structured method and an object-oriented method with the Unified Modeling Language (UML). The research methodology includes identifying farmers' needs, developing systems using both approaches, conducting functionality testing, and performing a comparative analysis based on effectiveness, efficiency, and ease of use. The study's results indicate that the object-oriented approach with UML offers greater flexibility in development and adaptation to changing user needs. At the same time, the structured method provides stability within a well-defined system. User evaluations reveal a preference for UML-based systems, particularly in supporting dynamic knowledge access and integrating market price prediction features. The study concludes that the object-oriented approach with UML is more suitable for KMS development in agribusiness, where an adaptive and responsive system is essential.
The Radio Frequency Identification Implementation Design for INLISLite Library Management System Majidah, Majidah; Widiyanto, Widiyanto; Purwinarko, Aji; Harto, Kasinyo; Fridiyanto, Fridiyanto; Mukminin, Amirul
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.v5i3.902

Abstract

A challenge with self-borrowing services is the investment cost for both software and hardware. A software license is required to connect INLIS [Integrated Library System] Lite with Radio Frequency Identification [RFID], which results in a high cost, especially when the software is only compatible with specific RFID devices. This study aims to look at the INLISLite Library Information System, focusing on implementing a self-borrowing service using microcontrollers and RFID technology. In this research, system development uses the prototyping method. This study developed a self-borrowing module for INLISLite without the need for licensed connector software. Additionally, the module is compatible with various microcontrollers and RFID devices that are readily available. The research proposes a novel model that utilizes RFID technology and NodeMCU ESP8266 for the INLISLite Library Information System. RFID sensors read book data from tags, while the NodeMCU microcontroller facilitates communication between the RFID system and the server, allowing automatic transmission of book data to the INLISLite database. This setup enables seamless self-service borrowing, which was tested successfully, supporting processes such as logging in, scanning book data, and updating loan status in the database.
What Brings Gen-Z to the Library? An Investigation of Interior Design Elements in Denpasar City's Libraries Anjaeni, Sharon Febrina; Hendrawan, Freddy; Dewi, Ni Made Emmi Nutrisia
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.v5i3.889

Abstract

The development of technology and easier access to information have changed how Generation Z learns and interacts with their surroundings, including how they utilize library facilities. This study aims to analyze the factors influencing Generation Z's preferences in visiting libraries in Denpasar City, focusing on the interior design aspects of library spaces. The method used in this study is a descriptive qualitative approach, which involves observation, questionnaire distribution, and in-depth interviews with Generation Z students in Denpasar City. The results showed that interior design is crucial in attracting Generation Z's interest in visiting the Library. Libraries that carry a modern design concept, with adequate technological facilities to support learning and working activities, are more desirable than libraries that carry traditional concepts. Based on these findings, the proposed strategic solution is to implement the Modern Reading Hub concept, which combines ergonomic interior design, advanced technological facilities, and other supporting facilities. This concept is expected to create a library space that is more interactive, comfortable, and relevant to the needs of Generation Z in undergoing productive and fun learning activities. 
Cyber Security of Robots: Integrating Safety and Security in Cognitive Social Computers Parthiban, K; Kanchana, R; Sridhar, P S V S; Krishnamoorthy, N. V.; Aruna Sri, P.S.G.
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.v5i3.1059

Abstract

For social robots to coexist with people, they must be trustworthy and safe. This study examines the implications and relationships between cybersecurity and safety to develop more intelligent, secure, dependable autonomous robots. The initial findings are presented in this publication. Robots are used extensively in the modern world, not just in automated cars and medicine but also in industry, national security, and defence. Cyberattacks against robots and other security concerns are rising with the number of robots. We propose creating a robotic intrusion prevention system (RIPS) that employs a cutting-edge methodology to identify and stop intrusions in cyber-physical systems, including cognitive social robot systems. To mitigate cyber-physical risks, the RIPS uses system modes to specify which robotic system components limit or decrease its functioning when the system is penetrated. The RIPS detects threats at the robotic communication level. Additionally, we show that enhancements in encryption, authorisation/authentication, and physical security can considerably lower the probability of cybersecurity threats on robotic platforms. A dual regulatory framework that governs cybersecurity and physical product safety separately makes it challenging to regulate cyber-physical systems like care robots consistently and effectively. We conceive and talk about the difficulties in controlling the security of cyber-physical systems using the current dual framework, especially the absence of required certificates. Various robotic systems' security levels are examined in multiple domains to ascertain whether they need an upgrade or correction. Additionally, we outline and highlight open challenges that may emerge over the coming years.
Hiace Transportation Departure Scheduling Information System in Lhokseumawe With Genetic Algorithm Taskia, Narita; Dinata, Rozzi Kesuma; Retno, Sujacka
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.v5i3.878

Abstract

This study aims to address challenges in transportation scheduling by employing a suitable algorithm to ensure the scheduling process operates efficiently and effectively. One algorithm identified as appropriate for this task is the Genetic Algorithm, which is widely recognized for its robust capabilities in optimization tasks. Known for its adaptability and robustness, the Genetic Algorithm is well-suited for scheduling applications, including academic timetabling, as it can handle complex problems involving multiple criteria and objectives. Inspired by principles of biological evolution and natural selection, this algorithm iteratively explores solutions to approach optimal outcomes, refining the schedule in each iteration until an effective solution is achieved. Based on the analysis of experimental results using real-world data and evaluation of the system's design, the study concludes that the Hiace transportation departure scheduling system was successfully developed using a web-based approach. This web-based system offers significant advantages, as it facilitates more efficient management of departure schedules and eliminates the need for manual checks. As a result, it reduces the risk of human error and allows for better resource allocation. The integration of Genetic Algorithms into the development of the Hiace transportation scheduling system demonstrates the potential of evolutionary computation in solving practical, real-life scheduling problems. The resulting system is supported by internet-based technologies, providing easy access to passengers and system administrators. Despite the positive outcomes achieved, the current implementation is not without limitations. Further refinement and continued development are essential to enhance system performance, increase reliability, and ensure it can adapt to evolving needs and operational complexities, ensuring its long-term effectiveness.

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