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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 354 Documents
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Assessing The Potential for Transportation Mode Switching in Mid-Sized Urban Areas using Binary Logistic Regression Basalim, Said; Akhmadali, Akhmadali
Aceh International Journal of Science and Technology Vol 13, No 3 (2024): December 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.3.39523

Abstract

Cities without public transport will suffer several issues, such as congestion, limited productive time, and a lower quality of life. The present study investigates various factors influencing public transportation choices in mid-sized urban, including gender, age, the nature of work, ownership of transportation, destination of travel, vehicles used, and vehicle preferences among respondents. The primary data in this study was gathered through household interviews conducted in 6 sub-districts of Pontianak City, West Kalimantan Province, Indonesia. After various initial data screening, 654 respondents' responses were available for further investigation. This study employs the binary logistic regression method to establish the connection between independent variables and binary responses, utilizing the JASP software. Comparative analysis is commonly employed in the early stages of data examination to assess the relationship between a variable and vehicle preference. The crosstab analysis reveals a noteworthy correlation between transportation preferences and factors such as gender and age. After conducting an analysis using the binary logistic regression model method, it was found that household size, transport ownership, age, and personal status had a significant impact (p0.05). The highest odds ratio value (1.538) is associated with household size, indicating that an increase of 1 unit in household size will positively influence the likelihood of selecting a public transport mode by 1.538 times. The implications of this study for the city's public transport service program are the importance of the socialization agenda about the benefits of using public transport and the weaknesses of using private vehicles, whether tangible or intangible.
Modeling and Analysis of Column Formwork Construction Components Using Dynamo Revit (Study Case : Project Construction of Building 2 Hermina Hospital Pandanaran) Arifin, Muhammad Faizal Ardhiansyah; Oktaviani, Dianita Putri; Budiwirawan, Agung -; Ilingono, Luke Timor
Aceh International Journal of Science and Technology Vol 13, No 3 (2024): December 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.3.42925

Abstract

The construction industry in Indonesia continues to experience rapid growth. However, there are still challenges in implementing Building Information Modeling (BIM) technology, particularly in the volume calculation of formwork activity. BIM for formwork activity is generally utilized to calculate the surface area of formwork. Moreover, cast-in-place concrete formwork has many components with different utilities; thus, it is difficult to manage. Therefore, this study endeavors to expand BIM by employing BIM to automate the calculation of the formwork components. This research aims to utilize Autodesk Revit and Dynamo software to accelerate calculation time and enhance the accuracy of calculating the components of column formwork. The developed model is applied in the Hermina Pandanaran Hospital Building 2 Project as reliability validation of the model. The column formwork construction is modeled using Revit in 3D format, which is subsequently analyzed using the Dynamo script to automatically obtain the complete components of the column formwork activity, including the amount of each component. A comparison of manual calculations between those performed using Dynamo shows a 0% difference percentage, demonstrating the accuracy of Dynamo calculation. Based on the result, the utilization of Revit and Dynamo has proven to increase efficiency in formwork management. The findings of this research can provide insights into construction practitioners to leverage BIM technology in enhancing the efficiency and accuracy of column formwork components' volume calculations.
Estimation of Geothermal Potential Area in Kabawetan Sub-District, Using 2D Magnetotelluric Inversion Method Gumanty, Usman; Farid*, Muchammad; Refrizon, Refrizon; Azzahra, Gusti Ayu Zahwa; Nurhayati, Ratna Dewi; Al Ansory, Andre Rahmat; Raihana, Hana
Aceh International Journal of Science and Technology Vol 14, No 1 (2025): April 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.1.44628

Abstract

Kabawetan is located in the subduction zone of the magmatic arc in the Indonesian tectonic system. The geothermal energy potential in this region is closely tied to volcanic activity, which is prevalent along the Ring of Fire on the island of Sumatra. This study aims to identify the distribution of subsurface resistivity values related to geothermal potential in the Kabawetan Region. To achieve this, the magnetotelluric (MT) method is used, utilizing electrical and magnetic sensors. Data were collected using two horizontal electrical sensors (Ex, Ey) and three magnetic sensors, including two horizontal sensors (Hx, Hy) and one vertical sensor (Hz). Measurements using the magnetotelluric method can be used to determine the subsurface rock layers based on resistivity values. The results of data processing yield a 2D cross-section of the resistivity value, which characterizes the potential for geothermal energy. This study used four measurement points to analyze resistivity variations and determine geothermal potential. Field measurement data were processed using MAPROS software, and a 2D cross-section model was created using ZONDMT2D. The results showed that resistivity values of 20-60 m, thought to be impermeable overburden, were at depths of 0-1.5 km and 2.5-4 km, resistivity values of 0.54-1 m indicated permeable reservoirs at depths of 1.5-2.5 km, and resistivity values of 290-550 m indicated geothermal rocks at depths of 4-10 km. The findings of this research are expected to enhance the understanding of geothermal energy as a renewable resource, thereby supporting the Sustainable Development program.
The Influence of Cooling Techniques on The Performance of Pack Carburized Low Carbon Steel Using Cypress Charcoal Nitha*, Nitha; Fikran, Fikran; Pasae, Nofrianto
Aceh International Journal of Science and Technology Vol 14, No 1 (2025): April 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.1.44224

Abstract

This study investigated the impact of different cooling media on low-carbon steel's hardness and wear characteristics after pack carburizing using cypress charcoal. This research method involves conducting an experimental process known as pack carburizing. It utilizes cypress charcoal as an energizer and sodium carbonate as a catalyst for heat treatment. The cypress charcoal and sodium carbonate volume comprise 90% ACR and 10% NaCO3. The mixture is heated in a furnace at a temperature of 925 C for 3 hours and then cooled using different media, including air, SAE 20 oil, salt water, and water. Material testing uses mechanical tests, specifically hardness and wear tests. According to the study findings, the hardness value exhibited a noticeable rise, reaching a peak of 277.694 HV in the air-cooling medium. In contrast, the lowest value of 198.417 HV was observed in the same medium. In addition, the wear rate is affected by the cooling medium. The wear rate is highest at 0.0657 grams/sec in air cooling media, while it is lowest at 0.0347 grams/sec in air cooling media. This indicates that the hardness value and wear rate value are inversely related. In other words, materials with higher hardness have smaller wear rates, and vice versa. The variation in cooling rates is primarily due to the differences in viscosity among the cooling mediums.
Analysis of Illegal Gold Mining (PETI) Impact on The Environment with TDS, TSS, Mercury and Cyanide Parameters in Water and Sediment of Cikaniki River Erusani, Awang Silvan; Arofah*, Nurmaya; Sofatunida, Sofatunida; Fauzi, Talitha Hasna; Jabbar, Muhammad Andi
Aceh International Journal of Science and Technology Vol 14, No 1 (2025): April 2025
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.14.1.43432

Abstract

Gold production from artisanal mining extraction reaches 120 tons annually, providing significant environmental and economic impacts for the community. The processing method used triggers environmental pollution, because it produces tailings in the form of metal mercury and cyanide. This research was conducted at the location of post Illegal gold mining (PETI), although PETI activities have been disciplined, but based on the characteristics of mercury which is difficult to dissolve in water, easily binds to suspended solids and easily deposited to the bottom of the waters, can pollute river sediments. The purpose of the study was to determine the levels of Total Dissolved Solid (TDS), Total Suspended Solid (TSS), mercury and cyanide in the Cikaniki River Watershed, based on Government Regulation No. 22 of 2021. The purposive sampling method was used in determining the sampling location at 3 observation stations for surface water and sediment, namely station 1 area where is former gold processing. Station 2 river body where former PETI produces mercury waste, station 3 is a place where there is no gold processing. TDS and TSS measurements using the gravimetric method, mercury and cyanide levels using ICP-OES. The results of laboratory sediment analysis of 3 observation location in Cisarua Village, Curug Bitung Village, and Lukut Village, for the TDS and TSS parameters, mercury was detected at the highest level at point 3 in Lukut Village. Luku Village is the most downstream location of the Cikaniki River which is located very far form the peoples gold processing site. This concludes that after PETI activities occur, the distribution of mercury (Hg) waste spread to the most downstream areas of the Cikaniki River is always present even though its presence is still below environmental quality standards.
PAPER TEMPLATE (.doc) and, Word; (.pdf), Portable Document Format
Aceh International Journal of Science and Technology Vol 1, No 1 (2012): April 2012
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.1.1.14366

Abstract

Example Paper Template is below
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).

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