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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 : -
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 the Results of the Weighted Moving Average Method and the Least Absolute Shrinkage and Selection Operator Method for Predicting Total Palm Oil Production at PT. Mora Niaga Jaya Ardiansyah, Sakha; Dinata, Rozzi Kesuma; Ar Razi, Ar Razi
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.v5i2.862

Abstract

This study compares two prediction methods, Weighted Moving Average (WMA) and Least Absolute Shrinkage and Selection Operator (LASSO), in forecasting the total palm oil production at PT. Mora Niaga Jaya. Accurate forecasting is essential in the palm oil industry to support decision-making, optimize production planning, and manage supply chains efficiently. The WMA method produced more realistic prediction results, with a Mean Absolute Error (MAE) of 114,854 tons and a Mean Absolute Percentage Error (MAPE) of 220.45%, despite still having a considerable margin of error. These values suggest that while WMA is not perfectly accurate, it performs moderately well, given the complexity and variability inherent in agricultural production data. On the other hand, the LASSO method yielded significantly worse results, with an extremely high and unrealistic MAE and a MAPE of 291,456.000%, indicating that this approach is unsuitable for palm oil production forecasting in this specific case. The underperformance of the LASSO method may be due to the nature of the data used, which may not meet the assumptions required for LASSO to function optimally, such as linear relationships and minimal noise. This highlights the importance of aligning forecasting methods with the dataset's characteristics. Based on the comparison, it can be concluded that the WMA method is more appropriate for predicting palm oil production than LASSO. However, further steps such as parameter optimization, data normalization, and outlier removal should be undertaken to achieve better predictive accuracy. This research provides valuable insights into the importance of selecting the correct predictive method and ensuring data quality in forecasting. Ultimately, careful model selection and data preprocessing support effective operational and strategic decisions in the palm oil industry.
Tensile and Flexural Properties of Epoxy Nanocomposites Reinforced with Cellulose Nanocrystals Azhary, Taufik; Pajri, Afril Efan
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.v5i3.892

Abstract

Composite materials are extensively utilized across various fields such as engineering, aviation, automotive, construction, and healthcare. This widespread application highlights their superior properties, often absent in the individual constituent materials. Additionally, composites offer the advantage of being easily fabricated to meet specific requirements, and incorporating natural fibers as reinforcement has gained significant interest due to their environmental friendliness and abundance. Among these, nanocellulose is a promising green material due to its unique characteristics. Specifically, cellulose nanocrystals (CNC), nanoscale derivatives of nanocellulose, have attracted considerable attention as reinforcement agents in composite fabrication. This interest stems from CNC's notable advantages, including excellent mechanical properties, a high crystallinity index, plentiful availability, low weight, and eco-friendly nature. This study was undertaken to investigate the impact of varying concentrations of cellulose nanocrystal (CNC) (0, 0.5, 0.75, 1 wt%) on the mechanical properties, specifically the tensile and flexural properties, of epoxy resin/cellulose nanocrystal (E/CNC) nanocomposites. The materials employed in this research include epoxy resin, hardener, and cellulose nanocrystals. The fabrication of the E/CNC nanocomposites was carried out through a straightforward mixing method, wherein the constituent materials were blended following the defined experimental parameters, followed by the molding process. The findings of this study indicate that the incorporation of cellulose nanocrystals (CNC) significantly enhances the mechanical properties of E/CNC nanocomposites. The E/0.75CNC nanocomposite showed optimal tensile strength (39.91 MPa; +4.95%), while E/1CNC exhibited superior flexural strength (65.78 MPa; +5.08%) compared to the unmodified epoxy baseline.
Learning Sanskrit to Strengthen Multiculturalism and Religious Moderacy Surada, I Made; Subagia, I Nyoman; Sura Adnyana, Putu Eka
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.v5i3.968

Abstract

This paper discusses Sanskrit language learning as a strategic instrument in strengthening the values of multiculturalism and religious moderation in Indonesia. Sanskrit has not only historical value as a heritage of Hindu-Buddhist civilization but also contains universal teachings such as dharma, Ahimsa, tat twam asi, and vasudhaiva kutumbakam, which are relevant in the context of a plural society. Through a qualitative approach with observation, Documentation, and literature study methods, this research shows that Sanskrit learning can shape the character of students who are tolerant, inclusive, and have a nationalistic outlook. The learning model developed is contextual, dialogical, and collaborative and integrates the values of diversity and interfaith understanding. Despite facing challenges such as the stigma of exclusivism, limited teachers, and low motivation to learn, learning Sanskrit remains relevant for character education and strengthening social cohesion. Therefore, innovative pedagogical strategies and inclusive curriculum policies are needed so that Sanskrit can contribute significantly to building a harmonious Indonesian society with diversity.
Composite Material Engineering Analysis Based on Circular Economy for the Conservation of Interior Ornaments and Traditional Balinese Architecture Jaya, I Kadek Prana; 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.v5i3.919

Abstract

This study examines the engineering and application of sustainable composite materials as an alternative to traditional Balinese architectural ornaments through a comparative analysis of four material types: fiberglass, precast concrete, glass fiber-reinforced cement (GRC), and artificial sandstone. The scarcity of natural materials, growing ecological pressures, and the demand for economic efficiency and ease of production have driven the exploration of engineered materials that can represent Balinese architecture's aesthetic, symbolic, and spiritual values. The research employs a descriptive-qualitative methodology involving field observations, in-depth interviews with local artisans, and an analysis of each material's technical and cultural characteristics. Fiberglass and GRC stand out for their form flexibility and suitability for mass production, while precast concrete offers superior structural durability and long-term maintenance efficiency. Meanwhile, community-driven innovations in artificial sandstone exhibit strong potential for preserving traditional values while addressing contemporary sustainability challenges. The findings suggest that no single material emerges as universally superior; therefore, material selection should be context-dependent, considering both economic feasibility and cultural compatibility. The study concludes that integrating material innovation into traditional architecture must be grounded in circular economy principles, active community participation, and a deep understanding of vernacular values. These insights are expected to serve as a strategic reference for material selection in preserving Balinese cultural heritage while supporting the contextual and competitive development of the local creative industry within the Southeast Asian region.
Implementation of the Simple Additive Weighting Algorithm for Café Recommendations in Lhokseumawe City Arkan, Raihan; Safwandi, Safwandi; Ar Razi, Ar Razi
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.v5i3.885

Abstract

The selection of cafés that match customer preferences is a challenge, especially in the city of Lhokseumawe, which has 30 cafés with different characteristics. This research implements the Simple Additive Weighting (SAW) algorithm to provide recommendations for the best café based on six criteria, namely price (weight 0.25), menu (0.2), order duration (0.15), service (0.2), facilities (0.15), and discounts promotions (0.05). The recommendation system was developed using a combination of Laravel PHP and Python, where Laravel is used to build an interactive web interface. Python also plays a role in data processing and complex mathematical calculations. The results showed that the system was able to provide optimal recommendations, with Petrodollar Coffeeatery Roastery as the top choice based on the calculation of the highest preference values (3.28 for price, 2.48 for menu, 3.16 for order duration, 2.88 for service, 2.96 for facilities, and 2.8 for discounts promotions). TR Coffee and Platinum Coffee occupy the following positions. In addition, this study found that the weight of the criteria and the number of datasets (150 reviewers) significantly influence the quality of recommendations. The more representative the weights used and the larger the dataset analyzed, the more accurate the system will produce recommendations based on user preferences. Thus, weight optimization and dataset expansion are essential factors in improving the effectiveness of SAW-based recommendation systems.
Building a Narrative Event Dataset from Andersen’s Fairy Tales for Literary and Computational Analysis Daniati, Erna; Wibawa, Aji Prasetya; Irianto, Wahyu Sakti Gunawan
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.v5i3.910

Abstract

This paper describes building a narrative event dataset for the entire set of 153 fairy tales written by Hans Christian Andersen as?a resource for literary analysis and computational research. The corpus is?built up through semi-automatic annotation for important narrative events: character actions, period transitions, causal communications, and story themes. Each event is augmented with? metadata such as event type, event participants, event temporality (order) and event thematic relevance. This computer-readable structured data is helpful for NLP applications like event detection and temporal reasoning. Still, it supports in-depth literary?studies of plot structures, moral themes and character archetypes in Andersen's stories. Linking the digital humanities with the domain of computational linguistics, the dataset can be jointly used in inter-disciplinary research, and has the potential to reveal new aspects of classical narrative forms and how these findings?and developments can be usefully integrated in AI-supported storytelling systems.
Decentralized Finance: Bibliometric Analysis and Research Trends Ma’arif, Syahrul; Maufiquddin, Fiqih; Dhevyantoa, Benny; Krisdiana, Krisdiana; 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.v5i2.886

Abstract

This research explores the developments and challenges in decentralized finance (DeFi) since 2015 and the increasing use of blockchain technology. DeFi provides access to financial services without traditional intermediaries, improving the economic system's efficiency through automated and transparent smart contracts. The bibliometric analysis shows a significant growth in DeFi-related publications, with 1,909 articles identified between 2015 and 2025. The research also highlights the importance of collaboration between authors and stakeholders to build a more secure and sustainable financial ecosystem. Analysis results using VOSviewer identified 173 keywords in 18 clusters, focusing on "digital twin" and "artificial intelligence." This research recommends further exploration into DeFi adoption, blockchain technology innovation, and the application of smart contracts to support the development of an inclusive, efficient, and innovative DeFi ecosystem in the future. In addition, this research aims to bridge existing research gaps and provide deeper insights into the potential of DeFi in the global financial system.
Development of Integrated Audiovisual Digital Handout Through Flipbook Application Based on Realistic Mathematics Education Fajriana, Fajriana; Mahmuzah, Rifaatul; Ningtiyas, Fitri Ayu; Sinaga, Nurul Afni; Aufa, Zurra Yusally; Saragih, Novilia Junianti
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.v5i3.990

Abstract

Effective learning media that prioritizes digitalization in the learning process and curriculum development are needed to improve students' numeracy literacy skills. One type of digital learning media is digital handouts, which are expected to provide positive changes in the world of education. Digital learning media that prioritizes audiovisual is expected to provide new learning experiences for students. This study will determine whether students' numeracy literacy skills increase after studying digital audiovisual handouts through the Realistic Mathematics Education-Based Flipbook Application. This research method uses the modified Borg and Gall model with stages of needs analysis, planning, initial product development, initial field trials, revision of test results, field trials of the main product, product revision, and final product and implementation. The research was conducted at SMPN 1, SMPN 2, and SMPN 3 Dewantara. The subjects of this study were students of grade VIII. The object of the research was Integrated Audiovisual Digital Handouts Assisted by Flipbook Application Based on Realistic Mathematics Education. The results of the validity test by material experts and media experts showed that the media that had been developed was feasible to be tested on students. The results of the small group trial stated that the press created was valid in appearance, ease of use, and usefulness so that it could be used in the media effectiveness trial through evaluation.
Sentiment Analysis of Vidio Application Based on Reviews on Google Play Store Using Bidirectional Encoder Representations from the Transformers Method Refianti, Rina; Senjaya, Andrian
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.v5i3.1124

Abstract

Sentiment analysis is a computational study that aims to process, extract, summarise, and analyse the information contained in the text so it can conclude the emotions and points of view given by the author from the text and share the emotional tendencies in the text through the subjective information contained in it. Vidio is a video streaming site that allows users to watch and enjoy various videos and other services, such as live chat and playing games over the internet, and broadcast them by live streaming and video on demand. The analysis process uses the Bidirectional Encoder Representations from Transformers (BERT) method to classify comments into positive, neutral, and negative sentiments using the Python programming language, and based on the results of the tests that have been carried out from the amount of comment data—as much as 6000 data with training data as much as 4019 data, validation data as many as 1154 data, and test data as many as 569 data—an accuracy result of 76%.
Potential of Medicinal Plants in Indonesian Forest Biodiversity Conservation in Synergy with Pharmaceutical Technology for Modern Medicine Hasyim, Dadang Muhammad; Anurogo, Dito; Bansaleng, Yessikah Feiby; Hiola, Siti Fatmah; Anripa, Nuralfin
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.v5i3.899

Abstract

This study aims to identify challenges and opportunities for medicinal plant conservation in Indonesian forests, focusing on local communities' role, technology use, and government policies. Indonesia's forests, rich in medicinal plants, face grave threats from deforestation and land conversion for agriculture. Climate change is also exacerbating the sustainability of medicinal plants by changing their growth patterns. Local communities living around forest areas have traditional knowledge that is critical to the conservation of medicinal plants. If properly utilized, this knowledge can help maintain the sustainability of medicinal plant species and minimize the negative impacts of land conversion. In addition, information technology and biotechnology offer solutions for monitoring and preserving medicinal plants. Mapping and active compound extraction technologies can improve conservation quality and facilitate the development of medicinal plant-based products for modern medicine. However, a significant challenge faced is the lack of policies that support medicinal plant conservation and the lack of clarity in regulations governing the utilization of these plants. Community empowerment through conservation education and training is key to the long-term success of medicinal plant conservation. By integrating the community's traditional knowledge, supportive policies, and modern technology, medicinal plant conservation can be carried out sustainably. This research emphasizes the importance of collaboration between the government, local communities, and the private sector in achieving conservation goals that are more effective and beneficial for all parties.

Page 39 of 60 | Total Record : 593

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