cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sugianto
Contact Email
sugianto@usk.ac.id
Phone
+6281360560198
Journal Mail Official
journal.aijst@usk.ac.id
Editorial Address
Graduate Program of Syiah Kuala University Kopelma Darussalam, Banda Aceh 23111, Aceh, Indonesia. Phone: 62-(0)651- 7407659. E-mail: journal.aijst@usk.ac.id
Location
Kab. aceh besar,
Aceh
INDONESIA
Aceh International Journal of Science and Technology
Published by Universitas Syiah Kuala
ISSN : 20889860     EISSN : 25032348     DOI : http://10.13170/aijst
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences
Aceh International Journal of Science & Technology (AIJST) is published by the Graduate School of Syiah Kuala University (PPs Unsyiah) and the Indonesian Soil Science Association (Himpunan Ilmu Tanah Indonesia, Komda Aceh). It is devoted to identifying, mapping, understanding, and interpreting new trends and patterns in science & technology development, especially within Asian countries as well as other parts of the world. The journal endeavors to highlight science & technology development from different perspectives. The aim is to promote broader dissemination of the results of scholarly endeavors into a broader subject of knowledge and practices and to establish effective communication among academic and research institutions, policymakers, government agencies, and persons concerned with the complex issue of science & technology development. The Journal is a peer-reviewed journal. The acceptance decision is made based upon an independent review process supported by rigorous processes and provides constructive and prompt evaluations of submitted manuscripts, ensuring that only intellectual and scholarly work of the greatest contribution and highest significance is published. The AIJST publishes original conceptual and research papers, review papers, technical reports, case studies, management reports, book reviews, research notes, and commentaries. It will occasionally come out with special issues devoted to important topics concerning science & technology development issues. Scopes Starting in 2016, AIJST has focused on science and engineering aspects, and therefore now AIJST considers the topics but not limited to : Engineering (Mechanical, Chemical, Civil, Transportation) Geology and Geomorphology Environmental Science (Hydrology, Pollution, Water Treatment, Soil Science, Climatology) Physical Oceanography Mathematics Physics and Geophysics Geospatial and Information Technology
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Global dan Perubahan Planet
Articles 8 Documents
 1 
Search results for , issue "Vol 14, No 2 (2025): August 2025" : 8 Documents clear
Enhancing Proppant Properties of Silica from Rupat Island Using Epoxy and Polyester Resins: A Comparative Study Based on API 19C -, Novrianti; Faroq, Muhammad; Indra, Rezi; Purnamawati, Neneng
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.47254

Abstract

This study evaluates the potential of silica sand from Rupat Island, Indonesia, as a natural proppant for hydraulic fracturing, based on API RP 19C standards. Samples tested include unmodified sand, epoxy-coated sand (5% and 10%), and polyester-coated sand (5% and 10%). Key parameters assessed were roundness and sphericity, bulk density, turbidity, acid solubility, and crush resistance. Uncoated silica showed substandard morphology (0.47), while resin-coated samples reached 0.53 and polyester resin reached 0.54, meeting API criteria. Bulk density ranged from 1.53 to 1.60 g/cc, and turbidity values (2038 NTU) were within acceptable limits. This study demonstrates that applying a resin coating to Rupat silica sand notably enhances its physical and chemical properties, making it more suitable for use as a proppant. The coated sand exhibited an increase in bulk density, reaching 1.581.60 0.01 g/cc, which exceeds the API RP 19C minimum standard of 1.5 g/cc and suggests improved packing efficiency. Additionally, the acid solubility dropped from 2.8% in the uncoated sand to 1.22 0.01% in the coated samples, reflecting greater chemical resistance. Turbidity levels remained low, ranging from 20 to 135 2 NTU, well below the API limit of 250 NTU, indicating minimal generation of fine particles. In crush resistance tests, uncoated sand lost up to 13% weight at 5000 psi, while resin-coated variants showed improved performance, with weight loss reduced to 814% (5 mL and 10 mL epoxy resin) and 512% (5 mL and 10 mL polyester) at 6000 psi and 8000 psi. These results confirm that with appropriate surface modification, Rupat silica sand meets key API 19C criteria and holds strong potential as a local proppant material for hydraulic fracturingTRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian// TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Fusing Self-Regulated Learning and Machine Learning to Enhance Open and Distance eLearning Systems. A systematic review Mafuhure, Tirivashe; Phahlane, Mampilo; Mbohwa, Charles
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.47181

Abstract

There are rapid advancements in the use of digital technologies in Open and Distance eLearning (ODeL) environments worldwide. Digital technologies have significantly enhanced Open and Distance eLearning by improving accessibility, flexibility, and the quality of education. Learners from remote and underserved areas can access educational resources anytime, thereby supporting inclusive education for everyone, regardless of their diverse needs. However, most ODeL systems face challenges such as high student dropouts, low retention rates, and lack of instant instructional and user support. These challenges have given birth to the need for innovative approaches that will enable learner autonomy, motivation, and personalized support. One strategy that ODeL institutions can employ involves combining Self-Regulated Learning (SRL) and Machine Learning (ML) techniques to create intelligent and adaptive learning environments. SRL is very important in ODeL because it allows learners to have control of their own learning by setting metacognitive strategies such as goal setting, strategic planning, self-monitoring, and self-evaluation. The purpose of this systematic review was to explore the extent to which SRL and ML have been fused to enhance teaching and learning in ODeL contexts. Using a systematic literature review methodology, the study utilized 39 peer-reviewed articles published between 2019 and 2025, drawing on major academic databases, including Google Scholar, SpringerLink, ScienceDirect, IEEE Xplore, and Scopus. This study focused on reviewing studies that implemented ML techniques to model, support, or enhance SRL strategies in ODeL digital learning platforms. Findings from the study indicated that a huge number of studies utilise ML algorithms such as reinforcement learning, natural language processing, supervised learning, and unsupervised clustering in analysing learners data and provide adaptive feedback and recommendations that are related to SRL theory. While several studies highlight the effectiveness of ML in enhancing SRL, most are found within structured online courses or intelligent tutoring systems, rather than fully in open or distance learning environments. Furthermore, there is limited research that has focused on the development of ODeL systems that utilise both SRL and Machine Learning to enhance teaching and learning. This research study concluded by giving coding ideas on how ML and SRL can be combined to enable ODeL institutions to develop Learning Management Systems (LMS) that improve learner engagement, retention, and performance.
Utilization of IoT Technology in Modernization of Transportation Infrastructure: Conceptual and Implementation Review Jaya, Zairipan Jaya,
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.48057

Abstract

The development of intelligent transportation infrastructure is increasingly supported by the Internet of Things (IoT), offering opportunities to improve data-driven mobility management through real-time sensing and automation. This study aims to examine the conceptual foundations and practical implementations of IoT-based systems in the modernization of transport infrastructure, emphasizing architectural design, communication protocols, and deployment challenges. The methodology combines a literature-based synthesis with a simulation experiment using Node MCU ESP8266 microcontrollers, MQTT (Message Queuing Telemetry Transport) communication, Node-RED gateway integration, and cloud dashboard visualization. A total of 22 relevant scientific studies were reviewed, and six real-world case studies were evaluated to extract recurring design patterns and bottlenecks. Simulation results demonstrate that the proposed System maintains a low average transmission delay (128 ms) and minimal packet loss (0.83%) over 720 data cycles, indicating technical feasibility for small-to-medium scale deployments. The evaluation further identifies three critical factors affecting IoT transport systems: network reliability, cloud integration, and scalability. While MQTT over TLS and modular software frameworks enhance real-time performance and system resilience, network instability, particularly in rural or outdoor settings, remains a significant constraint. The study concludes that a scalable and sustainable IoT-based transportation infrastructure requires a context-aware, modular, and multi-layered architecture that is adapted to local operational conditions. The proposed framework provides practical guidance for developers, urban planners, and policymakers seeking to transition from conceptual models to real-world, innovative mobility applications.
Effect of Angle of Attack on Drag and Lift Coefficients on Naca Airfoil for Wind Turbine Application Adiwibowo, Priyo Heru; Purwanto, Aris; Rasyid, Akhmad Hafizh Ainur; Saepuddin, Ahmad
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.47327

Abstract

The development of renewable energy is expected not only to reduce dependence on fossil fuels but also to support the transition toward cleaner and more sustainable energy systems in the future. The combustion of fossil fuels significantly contributes to greenhouse gas emissions, thereby accelerating global climate change. Recognizing these limitations and negative environmental impacts, researchers and energy experts have begun to explore and develop various alternative energy sources that are more environmentally friendly and sustainable. Among them, wind energy is one of the most promising and widely available clean energy resources. The efficiency of wind turbines can be enhanced by optimizing the aerodynamic characteristics of their blades. This study examines the aerodynamic properties of three distinct NACA airfoil profiles: NACA 0012, NACA 2412, and NACA 3412. These profiles differ in camber magnitude and distribution, yet they share a maximum thickness of 12% of the chord length. Computational Fluid Dynamics (CFD) simulations were conducted using ANSYS Fluent with angles of attack ranging from -20 to 20. The results reveal that the NACA 2412 airfoil demonstrates the best aerodynamic performance at an angle of attack of 5, achieving the highest lift-to-drag ratio (L/D).
Comparison of the Accuracy of the Levenberg-Marquardt and Trust-Region Methods in Solving Multivariable Non-Linear Equation Systems Putro, Dwi Suryo; Syaharuddin, Syaharuddin; Sirajuddin, Sirajuddin; Mahsup, Mahsup; Abdillah, Abdillah
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.48271

Abstract

Multivariable nonlinear equation systems are commonly found in various disciplines such as engineering, physics, economics, and artificial intelligence. Analytical solutions are often difficult to obtain, necessitating the use of numerical approaches. This study aims to evaluate and compare the performance of the Levenberg-Marquardt and Trust-Region methods in solving multivariable nonlinear equation systems. Computational simulations were performed using MATLAB software with an error tolerance of 0.001 and a maximum iteration limit of 100. The test system involved a combination of trigonometric, exponential, and polynomial functions to ensure computational complexity. The study's results show that both methods are capable of achieving solutions with high accuracy. The Levenberg-Marquardt method demonstrated higher efficiency, achieving convergence in only 2 iterations with a final error of 1.866 10. In contrast, the Trust-Region method required 27 iterations but yielded a smaller error of 4.768 10. Three-dimensional visualization revealed that the solution was obtained from the intersection point of the three function surfaces. These findings confirm that the selection of numerical methods should consider the priority between iteration efficiency and solution accuracy. The contribution of this research lies in presenting a comparison of the performance of two popular algorithms with controlled simulation parameters, which can serve as a basis for the development of numerical methods in larger dimensional systems
The Evaluation of Prefabricated Vertical Drain (PVD) Installation Effect on Soft Soil Physical and Mechanical Properties Sari, Undayani Cita; Wardani, Sri Prabandiyani Retno; Pardoyo, Bambang; Admojo, Danang Dwi; Rizqullah, Mochammad Kemal; Hussein, Muhammad Fahri
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.45368

Abstract

The purpose of the Yogyakarta - Bawen Toll Road construction was to improve connectivity between Yogyakarta and Semarang. However, during its construction, soft soil problems were found, so Prefabricated Vertical Drains (PVD) were installed. The installation of PVD aims to increase the rate of pore water discharge from the soil, thereby compacting it and enhancing its bearing capacity. Changes in soil material parameters also accompany this increase in bearing capacity. This study was conducted to analyze the effect of PVD installation on the physical and mechanical properties of the soil. The analysis was conducted by comparing soil investigation data before and after the PVD installation. Soil sample data were collected from the Yogyakarta-Bawen Toll Road, STA 4+500, specifically at BH 17. The physical properties under review are water content, wet unit weight, soil specific gravity, Atterberg limits, and changes in particle composition as determined by grain size analysis. Meanwhile, changes in the mechanical properties of the soil include pre-consolidation pressure, compression index, recompression index, consolidation coefficient, and volume compressibility. Undrained shear strength parameters were measured using an unconfined compression test to identify the soil's bearing capacity. The results show changes in physical and mechanical parameters before and after PVD installation. Overall, the most critical aspect of the accelerated consolidation method for physical parameters is a decrease in water content of 13% to 37% compared to the pre-PVD installation condition. Meanwhile, changes in the consolidation parameters, as well as a decrease in unconfined compressive strength of 2% to 12%, are also observed. This occurs for various reasons, one of which is the relationship between the completion time of the consolidation process and the consolidation process. However, the soil classification remained the same, according to the USCS, as a very stiff soil type
Hotspot Distribution in West Kalimantan Using K-Means and SOM Clustering Nurjanah, Riska Siti; Iryanti, Mimin; Rusdiana, Dadi
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.44065

Abstract

Indonesia has quite a large forest, and some forests often experience fires. These fires typically occur due to several factors, including high solar heat, drought in peat forests, and the practice of clearing land by burning. This research focuses on West Kalimantan, one of the areas that experiences the most frequent forest fires. To achieve this, the study employs K-Means Clustering and Self-Organizing Map (SOM) algorithms, integrated with Geographic Information System (GIS) tools, to process satellite imagery from NASAs Terra and Aqua satellites. Key parameters include geographic coordinates (latitude and longitude), brightness temperature, and hotspot confidence levels. The clustering results identified two primary groups, with Cluster 2 representing the group with the highest thermal activity and fire risk. This cluster recorded a peak brightness temperature of 432.42 K and achieved a silhouette score of 0.71, indicating high clustering validity. GIS-based mapping revealed that the Sambas region had the highest concentration of hotspots, accounting for 36.01% of all detected points. These findings underscore the importance of targeted fire prevention efforts, particularly in high-risk zones with dense vegetation and frequent fire incidents.
Comparative Study Of The Performance Of Dabex And Anfo Explosives Based On Fragmentation And Its Influence On Blasting Costs Simamora, Fredho Imanuel; Purwanto, Purwanto
Aceh International Journal of Science and Technology Vol 14, No 2 (2025): August 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.2.43971

Abstract

PT. Semen Tonasa conducts blasting using two explosives, Ammonium Nitrate Fuel Oil (ANFO) and Dahana Bulk Emulsion Explosives (DABEX), each with unique specifications that will affect fragmentation quality and blasting costs. This research evaluates the performance of ANFO and DABEX based on fragmentation quality (optimal recovery rate), which will influence blasting cost. It analyzes the best practices for each explosive in different areas. It uses photographic methods to collect fragmentation samples, which will then be analyzed to obtain optimal recovery rates and blasting costs, using rock factor data and deviation of analysis results, the best practice of each explosive can be determined. Based on the result of the analysis, in terms of fragmentation quality, DABEX explosives outperform ANFO with an optimal recovery rate of DABEX reaching 95.6% while ANFO is 89.3%, however, DABEX takes an average of Rp. 4,583 to blast one ton of limestone with a recovery rate of 95.6% while ANFO with a 89.3% recovery rate costs Rp. 3,369. It was found that better fragmentation quality results in lower costs, and vice versa. This is demonstrated by the linear regression analysis, which reveals a very strong negative correlation (R = 0.9819 for DABEX and R = 0.8917) in the relationship between the high level of recovery and the high cost of dismantling one ton of limestone. Both ANFO and DABEX can reach their maximum performance on area B8. Where the optimal recovery rate for DABEX is 95.31% with a cost/ton of Rp 4,622.75, while the optimal recovery for ANFO is 90.16% with a cost/ton of Rp 3,744.62. Meanwhile, the worst performance is predicted to occur on the northern B9 area, with the optimal recovery rate for DABEX is 94.66% with a cost/ton of Rp 4,703.06, while for ANFO the optimal recovery is 89.18% with a cost/ton of Rp 3,785.95

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 14, No 2 (2025): August 2025 Vol 14, No 1 (2025): April 2025 Vol 13, No 3 (2024): December 2024 Vol 13, No 2 (2024): August 2024 Vol 13, No 1 (2024): April 2024 Vol 12, No 3 (2023): December 2023 Vol 12, No 2 (2023): August 2023 Vol 12, No 1 (2023): April 2023 Vol 11, No 3 (2022): December 2022 Vol 11, No 2 (2022): August 2022 Vol 11, No 1 (2022): April 2022 Vol 10, No 3 (2021): December 2021 Vol 10, No 2 (2021): August 2021 Vol 10, No 1 (2021): April 2021 Vol 9, No 3 (2020): December 2020 Vol 9, No 2 (2020): August 2020 Vol 9, No 1 (2020): April 2020 Vol 8, No 3 (2019): December 2019 Vol 8, No 2 (2019): August 2019 Vol 8, No 1 (2019): April 2019 Vol 7, No 3 (2018): December 2018 Vol 7, No 2 (2018): August 2018 Vol 7, No 1 (2018): April 2018 Vol 6, No 3 (2017): December 2017 Vol 6, No 2 (2017): August 2017 Vol 6, No 1 (2017): April 2017 Vol 5, No 3 (2016): December 2016 Vol 5, No 2 (2016): August 2016 Vol 5, No 1 (2016): April 2016 Vol 4, No 3 (2015): December 2015 Vol 4, No 2 (2015): August 2015 Vol 4, No 1 (2015): April 2015 Vol 3, No 3 (2014): December 2014 Vol 3, No 2 (2014): August 2014 Vol 3, No 1 (2014): April 2014 Vol 2, No 3 (2013): December 2013 Vol 2, No 2 (2013): August 2013 Vol 2, No 1 (2013): April 2013 Vol 1, No 3 (2012): December 2012 Vol 1, No 2 (2012): August 2012 Vol 1, No 1 (2012): April 2012 More Issue