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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
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Kab. aceh besar,
Aceh
INDONESIA
Aceh International Journal of Science and Technology
ISSN : 20889860     EISSN : 25032348     DOI : http://10.13170/aijst
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
Articles 354 Documents
Comparative Analysis of Wind Energy Potential with Nakagami and Weibull Distribution Methods for Wind Turbine Planning Suriadi Suriadi; Muna Nabilah; Muzakir Zainal; Muhammad Yanis; Marwan Marwan; Hafidh Hafidh; Muzailin Affan
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.30736

Abstract

Wind energy is renewable energy used as an energy source for wind power plants (PLTB). The most common distribution method used to model wind speed distribution data is the Weibull distribution. The Nakagami distribution has begun to be widely used in several studies to model wind speed distribution data. The Nakagami distribution is considered an alternative to the Weibull distribution in modeling wind speed distribution data. This study aims to compare the distribution of Nakagami and Weibull in analyzing wind power potential and calculating the resulting Wind Energy Production (WEP), using wind speed distribution data from both distributions in Kuta Raja, Banda Aceh and Lhoknga, Aceh Besar. The wind speed data used is satellite data (secondary data) downloaded via windguru.cz, with the most stable wind speed being a wind speed of 3-5 m/s. The value of wind power potential at the Kuta Raja location, Banda Aceh was obtained at 64.16% with the Nakagami distribution and 62.73% with the Weibull distribution, and 73.60% with the Nakagami distribution and 73.28% at the Lhoknga location, Aceh Besar. The comparison of these two distributions produces a Weibull distribution that is superior to the Nakagami distribution for both locations, where the Weibull distribution has a smaller error value and produces a WEP value that is in accordance with the actual/observable data compared to the Nakagami distribution. In this study, the Nakagami distribution has results that make this distribution an alternative or comparison to the Weibull distribution in distributing wind speed data with further research.
Preliminary Study of NFRP-Confined Concrete for Enhancing Compressive Strength Taufiq Saidi; Muttaqin Hasan; Zahra Amalia
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.31500

Abstract

Earthquake that occurred within a period of several years may be caused reinforced concrete column fails to maintain its performance. Reinforcement methods to improve the quality of concrete in resisting earthquake loads are needed. Strengthening the column with external restraints is expected to increase the strength of the concrete. The use of synthetic Fiber Reinforced Polymer (FRP) as a composite material for external restraint on structures is one of the materials that has been widely used for strengthening concrete structures. Considering the environmental impact, natural FRP materials have been developing nowadays. One of the natural fibers that have been researched and used as a composite material for Natural Fiber Reinforced Polymer (NFRP) is abaca fiber. This research aims to find the contribution of abaca fiber in increasing the compressive strength of confined concrete as a preliminary study. In this study, the test was carried out by applying a compressive load to concrete specimens reinforced with NFRP restraints. The NFRP was investigated with variations in the number of NFRP layers. The results showed that NFRP-confined concrete has a higher compressive strength of 34.73% than the controlled specimen
Impacts of Land Cover Changes on Land Surface Temperature using Landsat Imagery with the Supervised Classification Method Astrid Damayanti; Farisya Isnaayu Khairunisa; Kintan Maulidina
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.30834

Abstract

Land cover changes occur along with development and an increase in urbanization, affecting the region's ecology. Tarogong Kidul Sub-district, Garut District, experiences land cover changes that change land surface temperature. This study aims to determine the relationship between land cover changes and land surface temperature. This study uses Landsat 8 Surface Reflectance Tier 1 satellite imagery to extract Normalized Difference Vegetation Index information and process soil surface temperatures for three periods, 2014, 2017, and 2020 as well as supervised classification methods. Image collection and processing are done via Google Earth Engine and ArcGIS Pro software. The results were in the form of the distribution of land surface temperature correlated with changes in the value of the land cover vegetation index using simple linear regression and spatial correlation analysis. This study reveals that land cover change is closely related to the increase in land surface temperature indicated by the rise in land surface temperature in areas experiencing changes in land use. The results of linear regression analysis (84.49%) confirm that land cover changes and the greenness index of vegetation are the most critical driving factors for changes in land surface temperature.
ZnO Production from EAF Solid Waste Using Hydrothermal Methods via Oxalate Precipitation Lukman Nulhakim; Imam Prasetyo; Monna Rozana; Widi Astuti
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.29579

Abstract

Electric Arc Furnace (EAF) waste contains 50-60% Zn. EAF waste synthesis has the potential to produce ZnO, which can be used in a variety of applications. The hydrothermal method is used in the synthesis, with time variations of 3 and 6 hours and temperature variations of 120 °C, 150 °C and 200 °C using precipitating reagents in the form of sodium hydroxide (NaOH) and oxalic acid (C2H2O4). UV-Vis spectrophotometer characterization result shows the absorbance value at 365 nm, which is the absorbance characteristic of ZnO material. The result of increasing the Zn element was revealed by XRF characterization. The XRD characterization revealed zinc oxalate dehydrates. This result depicts the hydrothermal with the oxalic acid solvent used to produce zinc oxalate dehydration at various temperatures and time variations.
Developing a Spatial Mathematical Model for Assessing the Rate of Natural Forest Changes Dahlan Dahlan; I Nengah Surati Jaya; Muhammad Buce Saleh; Nining Puspaningsih; Muzailin Affan
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.31703

Abstract

Establishing a spatial mathematical model that uses diverse data types such as ratio data, interval data, and ordinal and nominal data is a challenge. This paper describes how the mathematical model of the rate of natural forest cover change was developed by considering the causes and/or driving forces that come from the society's biophysical and/or socioeconomic aspects. The main objective of this research is to establish a spatial mathematical model using the environmental and socioeconomic variables that play a significant role in determining the rate of natural forest cover change. From a number of variables considered in the analysis, coupled with any other reason, the rate of natural forest cover change (y), in units of ha per year), this study found that there are 10 potential variables, namely the proximity of the road (x4), the proximity of the river (x5), the proximity of the settlement (x6), proximity from the regency capital (x8), the proximity of the capital city of the district (x9), proximity of the edge of the forest in 2015 (x11), the proximity of the plantation area in 2009 (x12), the proximity of the plantation in 2015 (x13), slope class (x16), and elevation class (x17). The standardization process successfully transformed the non-ratio data type into a ratio data type. Using the standardized data, the study obtained spatially mathematical models that are reliable in estimating the rate of forest cover change, namely y = 0.017 + 0.00040x9 with SR of 17.3% and R2 is 88.0%. The study concludes that the most significant factor affecting the natural forest cover change in the study site is the proximity of the district's capital city (x9). Therefore, a spatial mathematical model can facilitate the government in monitoring forest cover.
Isotherm and Kinetic Adsorption of Cadmium (Cd) onto Biosorbent Made from Kepok Banana Peel (Musa Acuminata balbisian): The Effect of Activator Type and Biosorbent Dosage Cundari*, Lia; Fanneze, Alna Livia; Arisma, Nanda Citra; Julian, Asha Aisha
Aceh International Journal of Science and Technology Vol 12, No 2 (2023): August 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.2.27947

Abstract

The present study determined the isotherm and kinetics model of the cadmium adsorption process onto a biosorbent made from kepok banana peel (Musa Acuminata balbisian). The experiments were carried out in batch process, laboratories scale, room temperature, pH of Cadmium of 4, volume of Cd solution of 20 ml, and biosorbent size particle of 60 meshthe biosorbent produced using chemical activation method onto dry banana peel. The variation in this research was the type of activator (H3PO4 and H2SO4) and the biosorbent dosage (1, 1.5, and 2 g). The experimental data was used to calculate the Langmuir and Freundlich isothermKinetics analysis based on pseudo-first-order and second-order kinetics models. The best condition of the cadmium removal occurred at 90 minutes of contact time and 2 g dosage for H2SO4 and H3PO4 activators. Cadmium biosorption was in accordance with the Langmuir isotherm and pseudo-second-order kinetic model. The linear equation obtained is positive, with the maximum adsorption capacity and the affinity constant. Cadmium adsorption onto banana peel biosorbents followed the Langmuir adsorption isotherm pattern, so chemical adsorption occurred in this study. Cadmium adsorption kinetics onto biosorbent that activated with an acid activator of H3PO4 and H2SO4 followed the pseudo-second-order kinetic model. The best condition of the cadmium removal occurred at 90 minutes of contact time and 2 g dosage for H2SO4 and H3PO4 activators. Cadmium biosorption in this study was in accordance with the Langmuir isotherm and pseudo-second-order.
Study of Public Perceptions on the Urban Railway Planning of the City of Banda Aceh and the Surrounding Areas Darma*, Yusria; Saleh, Sofyan M; Devi, Diana; Muhajir, Muhajir; Rinaldi, Rizal; Ashfa, Salsabila; Ahlan, Muhammad
Aceh International Journal of Science and Technology Vol 11, No 3 (2022): December 2022
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.11.3.29082

Abstract

The urban railway in the City of Banda Aceh and the surrounding areas is currently being proposed by the Aceh Provincial Government through the Department of Transportation of Indonesia. The presence of this rail transport mode is expected to change the travel behavior of the commuter. As such, people who use private vehicles may shift to public transport mode, thereby reducing congestion, noise, and pollution. The objective of this study is to determine factors and indicatorsrelated to rail transportthat are important to the community. This study was conducted to provide information on the urban railway planning of the City of Banda Aceh. The principal component analysis (PCA) was utilized in this study. The results analysis of the study shows that the most significant variable influencing the public on the urban railway for Banda Aceh City is land use (19.09%). The indicator that is important to the community under the land use factor includes the property used as railway (0.911), land use used as railway (0.907), adjacent land used as railway infrastructure (0.876), and adjacent property used as railway infrastructure (0.861). Overall, the respondents positively perceived the urban railway planning of Banda Aceh City and accepted the city's rail transport plan.
The Successful Prediction of Waterflooding Using a Feed-Forward Algorithm Batubara*, Qunazatul Shima; Erfando, Tomi
Aceh International Journal of Science and Technology Vol 12, No 2 (2023): August 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.2.30813

Abstract

Waterflooding is one of the most frequently used Enhanced Oil Recovery (EOR) methods to increase oil recovery because it can increase 30% -60% of total production. It is necessary to apply a production system performance prediction approach to minimize uncertainty in increasing production figures, such as analytical and numerical methods. Artificial Intelligence in oil and gas is not new, but it has often been used in various fields such as exploration, drilling, production, and reservoirs. This is the basis for the Prediction of the success of waterflooding research carried out. This research aimed to predict the success rate of waterflooding using an Artificial Neural Network (ANN). The method used in this study is the simulation research method using CMG Imex for reservoir simulation modeling, running CMG CMOST for 500 sensitivity data with the input of seven parameters of compressibility, horizontal permeability, vertical permeability, pressure injection, injection rate, thickness, oil saturation, and the output is recovery factor using Artificial Neural Network (ANN) with a ratio of 70% of calculation model results for training and 30% model results for testing. In order to get optimal prediction results, trial, and error were carried out on the number of hidden layer nodes so that optimal and stable hidden layer nodes were obtained at node 10 with RMSE values of 0.339035 for training and 0.442663 for testing and MAPE for training 1.15% and 1.62% for testing. The statistical analysis value is 0.906139 for training and 0.899525 for testing data. It can be concluded from this study that the use of ANN in predictions using ten hidden layer nodes proved to be very good and successful, and predictions in this study were classified as highly accurate Predictions.
Mapping of Flood Inundation and Eco-hydraulic Analyses to Minimize Flood Discharge in Tributaries Ziana, Ziana; Azmeri, Azmeri; Yulianur, Alfiansyah; Meilianda, Ella; Mubarak, Mubarak
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.31120

Abstract

Eco-hydraulic analyses begin with the arrangement of tributaries. This research aimed to minimize the discharge of flood run-off downstream by involving the community's participation in planting vegetation on the river border. An eco-hydraulic analysis is divided into two stages: calculating eco-hydraulic analysis on the existing border width and on the design border width of 100 m and calculating the inundation height and flow velocity. Minimizing flood discharge in tributaries is important because the maximum discharge in the downstream tributaries will affect the discharge in large rivers. The data needed are the cross-section of the river, the distance between the sections, Manning's roughness number, the return period flood discharge, and the river's slope. The integration between topographic maps, watersheds, and flood water levels can display areas potentially affected by inundation floods so that the flood inundation limits and flood inundation areas can be calculated. This research examined proper eco-hydraulics design so that it could reduce discharge, identify locations prone to flooding, and describe the magnitude of the flood impact quantitatively. Based on the study's results, it was found that the arrangement of river borders can provide benefits for flood control measures; this arrangement is the basis for determining river border lines. The results eco-hydraulic method obtained the design border width of 100 m, the condition before the existing river border arrangement was carried out, the inundation height was 0.30 1.13 m, and after the river border arrangement, the discharge could be reduced to 113.09 209 m3/s and the inundation height is 0 0.31 m. Based on the research results, it is known that border arrangements can provide benefits for flood control measures.
Optimization of Injection Moulding Parameters for Constructing Motorcycle Footstep Cover Using an Environmentally friendly Composite Rifai, Muhammad Fajar; Widiastuti*, Indah; Saputra, Taufik Wisnu
Aceh International Journal of Science and Technology Vol 12, No 3 (2023): December 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.3.34600

Abstract

Agra-forestry waste and recycled polypropylene have been combined to create sustainable composite materials for use in automotive applications in response to increased environmental concern over the depletion of petroleum-based resources. In this study, an injection molded motorcycle footstep cover was manufactured from recycled polypropylene (rPP) composite reinforced with ironwood powder. It aims to optimize the manufacturing process parameters of barrel temperature, mould temperature, and holding time in minimizing shrinkage and maximizing product weight. This current research employed the Taguchi L4 orthogonal array experimental design followed by the multi-objective grey relation analysis (GRA). In this study, the composite material consisted of 30% ironwood powder, 65% r-PP, and 5% coupling agent. The specimens were processed using injection molding with two different levels for each parameter of barrel temperature, moulding temperature, and holding time. The injection moulded products were then tested for shrinkage and product weight. The results showed that moulding temperature was the most influential parameter in getting a minimum shrinkage percentage, contributing 60.89%. Meanwhile, holding time contributes the most to achieving a maximum product weight (90.65%). After conducting a grey relation analysis and a confirmation test, the optimal parameters for shrinkage minimization and product weight maximization of motorcycle footstep cover are 210 of barrel temperature, 45 of moulding temperature, and 5 seconds of holding time. This research highlights the prospective applications of recycled polypropylene composite reinforced with ironwood powder for application as automotive parts.