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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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Developing a Spatial Mathematical Model for Assessing the Rate of Natural Forest Changes Dahlan, Dahlan; Jaya, I Nengah Surati; Saleh, Muhammad Buce; Puspaningsih, Nining; Affan, Muzailin
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.12.1.31703

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 from sub-district capital (x9). Therefore, a spatial mathematical model can facilitate the government in monitoring forest cover.
Potential Use of Natural Zeolite and Green Shells in Biodiesel Production Siswanto*, Anggun Puspitarini; Damayani, Intan Ardina
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.12.3.32736

Abstract

As energy needs continue to rise in line with the use of fossil energy, which is difficult to renew, other alternative energy is needed to continue to meet current and future energy needs. One alternative energy that is easy to produce is biodiesel. One of the raw materials that is quite widely used and developed in making biodiesel is waste cooking oil. According to statistical data, Indonesia can produce waste cooking oil of 5.06 tons per year. Waste cooking oil contains free fatty acids that can be processed into biodiesel using the help of heterogeneous catalysts. One source of heterogeneous catalysts that can be used is CaO, which can be found in green shells, where the CaO contained can be taken through the calcination process of green shells. To maximize the waste cooking oil processing process, an adsorption pretreatment process can be carried out. The adsorption process is carried out to reduce the FFA levels and acid numbers contained in waste cooking oil so that the transesterification reaction process can run optimally. Natural zeolite can be used as a good adsorbent to purify and lower the acid number of waste cooking oil. This study aims to find the best operating conditions in producing biodiesel made from waste cooking oil with a pretreatment adsorption process using natural zeolite and green shell catalyst through the factorial design method, where from the results of the research carried out, it was found that the density and viscosity met the SNI, the biodiesel yield produced was 45-65% and the cetane number test on samples 3 and 7 was 34,7 and 34,2 which did not meet the SNI. The operating temperature and amount of catalyst used in the biodiesel manufacturing process produce biodiesel with good density, viscosity, and yield, namely at a temperature of 60C and a catalyst content of 6 grams. The operating temperature of 65C produces a smaller density because the boiling point of alcohol is 64.7C, so the reaction process is not perfect.
Long-term Monitoring of Low-cost Seismometers: Consistency Analysis of The Instrument Juellyan, Juellyan; Setiawan, Bambang; Hasan, Muttaqin; Achmad, Ashfa; Yulianur, Alfiansyah; Saidi, Taufiq
Aceh International Journal of Science and Technology Vol 13, No 1 (2024): April 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.1.38248

Abstract

Instruments have become an essential part of conducting a study or research. With the aid of instruments, the measurement process can be faster, more efficient, and more accurate. However, an instrument also has a limited service life. Over time, the performance of the instrument will degrade. Therefore, the equipment must be regularly maintained and calibrated periodically. This research aims to test the measurement consistency of a low-cost seismometer (RS-3D). The approach involves long-term measurements to assess the instrument's stability in taking measurements. The measurement data is then processed and presented as frequencies using spectrum analysis. The research findings indicate that the instrument's consistency is generally good, with an average standard deviation of 0.18 and a coefficient of variation of 5%. Additionally, 95% confidence interval calculations yielded values of 2.520.02 for measurements at RKD, 3.040.05 for measurements at GLT-USK, and 3.30.04 for measurements at GFT-USK. Data validation was performed using the equations from building codes, showing that the difference between the measured microtremor frequency and the empirical equation was less than 1, indicating good measurement results. The conclusion drawn from this study is that a higher standard deviation value indicates a more distributed data spread, signifying less consistent research data. Conversely, a lower standard deviation indicates that the data is more concentrated around the mean value, indicating more consistent measurement results. Moreover, with previous studies having conducted validation and consistency testing, it is hoped that both tests will be routinely performed during instrument maintenance.
Determination of FFB Raw Material Needs for CPO Production by Forecasting Method at PT. Socfindo Kebun Mata Pao Arfah*, Mahrani; Anggraini, Vivi
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.12.3.30411

Abstract

This research was conducted at PT. Socfindo Kebun Mata Pao is one of the industrial companies engaged in palm oil processing. The main raw material used in processing Crude Palm Oil (CPO) is Fresh Fruit Bunches (FFB), where the FFB used must be based on good characteristics to get quality CPO. PT. Socfindo Kebun Mata Pao needs to pay attention to the adequacy of raw materials or the shortage of FFB raw materials. If the FFB inventory exceeds the amount of production needed, it will certainly cause additional storage costs and a decrease in the quality of CPO. Meanwhile, if the FFB supply is too small, it will increase procurement costs and interfere with the smooth running of products, resulting in inefficient production activities. Therefore, companies need to forecast the need for FFB raw materials, to minimize the occurrence of excess or shortage of FFB. The methods used in forecasting the needs of FFB raw materials are the Linear Regression method and the Quadratic method. The purpose of this study is to obtain forecasting results with the best accuracy between the Linear Regression and Quadratic methods to be able to predict the need for FFB raw materials in the 2022 period and so that companies can manage FFB raw material inventory by production needs. The data collection method was used from the observations and study documents results. The forecasting results from the calculation of the error rate in the Linear Regression method obtained a Standard Error of Estimate (SEE) of 317.16 and a Mean Absolute Percentage Error (MAPE) of 0.58%, while the error rate in the Quadratic method obtained a Standard Error of Estimate (SEE) of 323.55 and a Mean Absolute Percentage Error (MAPE) of 4.75%. From the calculation of the error rate in both methods, the smallest error rate is obtained in the Linear Regression method.
Developing a Computer Simulation Game as a Training Tool for Mine Self-Escape in Underground Coal Mine Harisman*, Hendra; Stothard, Phillip; Aflah, Nurul
Aceh International Journal of Science and Technology Vol 10, No 1 (2021): April 2021
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.10.1.18752

Abstract

Gaming technology has been growing these years rapidly. The game engines have the capability of creating a very realistic virtual environment model. This technology can also be used for mining purposes. In this research, the game engine is specifically used to develop a mine self-escape simulation game for training purposes. The game engine which is used to develop the simulation game is Unreal Engine 3. The main advantage of using such a simulation game as a training tool is because it allows the trainee to experience a dangerous situation while not being put in danger. This kind of training is considered better than conventional briefing, normally conducted by showing a video or pamphlet. Studies have shown that people retain more information when they are involved interactively in the learning process. In this research, a computer simulation game as a training tool for underground coal mine self-escaped has been successfully created using fire scenarios. The player/trainee should follow some procedures to get to the safety zone.
Structural Health Monitoring by Identification Dynamic Properties and Load Rating Factor at Multi-span Prestressed Concrete Girder Bridge Kusumawardani*, Rini; Kusbiantoro, Arief; Nugroho, Untoro; Upomo, Togani Cahyadi; Novita, Erlia Dewi; Nugroho, Imam Agus; Azizah, Kirana Prasetya
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.12.3.34451

Abstract

It is crucial to perform routine bridge maintenance in order to evaluate the structure's current state. As a result, it is possible to guarantee that the bridge structure can offer services that are both comfortable and secure. The bridge structure being able to reach the service life as planned is another goal that can be accomplished. Visual inspection or the use of some currently popular sensors can be used to monitor the condition of the bridge. The dynamic properties of a structure including modal frequency and mode shape will be used to determine the structure's present and potential future conditions. Using a velocitymeter, vibration data collection is conducted as the first step. The next step is analyzing data to determine natural frequency. The fundamental frequency of the Tugu Suharto bridge structure in Semarang was determined to be 3.995 Hz. Future bridge structure condition monitoring can be done using frequency data and finite element model. The condition of bridge infrastructure in the future for one city is an important thing that must be considered. Some bridges are classified as structurally deficient, and many bridges are nearing the end of their design lives. The next generation of Semarang highway bridges is currently being designed and built, but existing bridges still need to be maintained through proper inspection and load rating. In order to incorporate structural modeling, instrumentation, and nondestructive testing into the design, construction, and management of bridges, this study proposes an objective load rating protocol. Using information gathered from structural health monitoring (SHM), a baseline structural model is developed and verified. The load rating factors of the bridge are then determined using the structural model under both real-condition and simulated damaged conditions.
Subsurfaces Modeling Based on Integrated Geophysics Method to Identify Mineralization Zone In "X" Area, West Java, Indonesia Yuliwardana, Arditiya Tri; Yatini, Yatini
Aceh International Journal of Science and Technology Vol 13, No 1 (2024): April 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.1.29425

Abstract

Ring of fire passes through Indonesia, causing the presence of abundant mineral resource potential. Potential minerals in Indonesia are formed by hydrothermal processes. One of the hydrothermal deposits is a high-sulfidation epithermal (HSE) deposit. The appropriate geophysical methods can be used to find potential mineral resources. The geomagnetic method can detect mineralization by analyzing the development of structural pattern control. Tilt derivative filters used in magnetic data can clarify anomalous boundaries, especially structural straightness boundaries. The analysis showed that the mineralized zone had a distribution of low susceptibility values of 0.0054 to -0.0178cgs. due to destructive magnetite minerals in the advanced argillic alteration zone. Tilt derivative analysis shows the shape of a low circular anomalous pattern that extends north-south towards the boundary of the left horizontal fault, which develops into a faulty fault complex as control of mineralization. The method integration produces an HSE precipitate conceptual model, in which the presence of alteration and mineralization is controlled by a left horizontal fault zone that forms a fault complex descending in it and develops into a northwest-southeast tension vein plating dipping opening as estimation of mineralized pathways in the "X" Region, West Java, Indonesia.
Assessment and Prediction of Hydrometeorological Drought in Corong River Basin, Indonesia Affandy*, Nur Azizah; Iranata, Data; Anwar, Nadjadji; Maulana, Mahendra Andiek; Prastyo, Dedy Dwi; Yusop, Zulkifli; Wardoyo, Wasis
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.12.3.32592

Abstract

Hydrological drought analysis in a river basin is crucial because it impacts water resource management, agriculture, drinking water supply, industry, ecology, and disaster risk mitigation. It plays a key role in water usage planning, safeguarding agricultural yields, and ensuring a stable drinking water supply. In the context of this research, the Corong River basin is used as a case study. This study aims to determine the level of hydrological drought (deficit) using the Threshold Level Method (TLM) and predict hydrological drought using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. This model understands the characteristics of drought and predicts drought in the Corong River basin for early mitigation and anticipation of drought in the region. The results of this research indicate a strong relationship between the Hydrological Drought Index (HDI) and streamflow and Precipitation (PRCP), which can be used to forecast future droughts. This model is highly robust and accurate in observing the level of hydrological drought (deficit, duration, and sharpness) and predicting drought events in the Corong River basin. These findings have significant practical implications for water management and disaster risk mitigation in this river basin while also advancing the scientific understanding of hydrological drought.
Bentonite and Magnetite Filler-Modified Polyurethane Foam in Fixed Bed Column for the Adsorption of Mercury(II) Ions from Aqueous Solution Sarah, Siti; Adisalamun, Adisalamun; Darmadi, Darmadi; Kamaruzzaman, Suraiya; Muslim*, Abrar; Saiful, Saiful
Aceh International Journal of Science and Technology Vol 10, No 1 (2021): April 2021
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.10.1.18890

Abstract

This paper proposed adsorbent development by synthesizing polyurethane foam (PUF) using a simple method, mixing polyol with isocyanate and adding fillers of bentonite and magnetite to the PUF matrix. The study's main objective was to produce a PUF-based adsorbent with high reactivity to removeHg2+ in wastewater. This bentonite and magnetite filler-modified polyurethane foam (BMPUF) adsorbent was fixed in a bed column for the adsorption of mercury (II) ions from an aqueous solution. The effect of initial Hg2+ concentration on the removal rate and the effect of contact time on adsorption efficiency was investigated. Langmuir, Freundlich, and BET non-linear models were taken into account to determine the best adsorption isotherm fitting and obtain adsorption capacity, intensity, and pore volume. As a result, it followed the non-linear Freundlich model, and the average adsorption capacity and intensity were 0.466 mg/g and 0.923, respectively. The average BET-based pore volume obtained was 0.782 L/mg. The kinetics study showed that the non-linear pseudo-first-order kinetics model was more suitable for describing the Hg2+ adsorption kinetics. The maximum equilibrium adsorption capacity was 1.770 mg/g with the adsorption rate of 0.0013 min-1 based on the non-linear model. The effect of varying bentonite and magnetite ratio on adsorption isotherm and kinetics was also investigated. Overall, the potential application of BMPUF adsorbent in the adsorption of mercury (II) ions was demonstrated in the current study.
Identification of Slip Surfaces Using Vertical Electrical Sounding Method in Desa Seumadam for The Study of Landslide-Prone Areas Anda, Sabrian Tri; Fajriani, Fajriani; Fajri, Haikal; Fadhli, Zul; Fahril, Muhammad Ari; Putra, Rachmad Almi
Aceh International Journal of Science and Technology Vol 13, No 1 (2024): April 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.1.34605

Abstract

This study explores the application of the Vertical Electrical Sounding (VES) method for identifying potential slip surfaces in the Desa Seumadam region, a known landslide-prone area. By employing geophysical techniques, the assessment has been made in order to delineate the subsurface characteristics for slip surface identification landslide volume estimation. Based on data interpretation regarding the resistivity model of the subsurface in the study area, the slip surface or weak zone is classified as a clay layer underlain by sand and clayey sand layer. The clay is identified with resistivity value varying from 7 54.5 m and located at depth of 6 to 11.68 m while the sand and clayey sand layer are categorized with resistivity value of 4 1395 m with a thickness of 11.68 m. As for the estimation of landslide volume, the calculation was made using the landslide mass volume potential approach and found that the landslide volume is estimated at around 2.139 m3. It is believed that the study not only reveals the potential slip surface of the study area but also enhances the understanding of landslide mechanisms. The findings reveal valuable insights into the geological factors contributing to landslides, facilitating informed decision-making for landslide risk mitigation and land-use planning.

Page 28 of 36 | Total Record : 354

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