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Syafii
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Andalasian International Journal of Applied Science, Engineering, and Technology
Published by Universitas Andalas
ISSN : -     EISSN : 27970442     DOI : https://doi.org/10.25077/aijaset
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering
The Andalasian International Journal of Applied Science, Engineering, and Technology (AIJASET) is an international journal dedicated to the improvement and dissemination of knowledge on applied science, engineering and technologies including energy, environment, industrial, agriculture, civil, transportation, Information and communication and other related sciences and engineering. AIJASET follows new trends and advanced technology for practical applications of appropriate technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 197 Documents
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Design of Assistive Device For Blind People Based on Arduino Nano With Global Positioning System (GPS) Tracker Muhammad Sobari; Fairuz Antoni Putri; Agung Muhamad Toha; Rindi Wulandari
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 2 (2024): July, 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i2.150

Abstract

There are many people who do not have the ability to see so they have difficulty in carrying out activities. They need the help of others to carry out their daily activities. Therefore, the purpose of this research is to create a blind assistive device based on arduino nano with Global Positioning System (GPS) tracker in order to help blind people carry out activities independently. The method used in this research is experimental method. Based on the test results, this tool is able to detect objects from the front, left, and right at a distance of 100 cm then provide voice instructions through the speaker, and this tool can send the location of its users to certain people through the GSM module (Global System for Mobile Communication). Based on the comparison of location readings between the GPS module and google maps, the location read by the GPS module can be said to be quite accurate. From the distance measurement average error value of 0-2%, so the accuracy level of the system is 98%. The performance constraints of this tool are when conditions in the room GPS module and GSM module are difficult to get a signal because it is blocked by the room.
The Influence of Lightning and Grounding Conditions On Flashover Events in a 150kV Transmission Line Novizon Novizon; Rusvaira Qatrunnada; Mardini Hasanah; Heru Dibyo Laksono
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 2 (2024): July, 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i2.152

Abstract

Effect of lightning parameters and grounding system impedance on transient overvoltage that occurs in 150 kV overhead transmission lines during lightning using ATP-EMTP modeling. The induced overvoltage that jumps across the insulator is calculated for further analysis. Various parameters that directly influence directly influence the backflashover phenomenon,, such as the effect of lightning strike amplitude, time of rise (front) and decay (tail) of lightning impulses, foot grounding system, and ground resistivity,, are discussed in more detail. Surge arresters are used in this study to overcome the overvoltage that can cause backflashover. The performance of the transmission system after using a surge arrester is investigated at the time of a lightning strike. The results indicate that the parameters of the advance time and the lightning current amplitude greatly affect the overvoltage magnitude voltage. Other parameters have little effect on the overvoltage in the transmission line.
Non-destructive Analysis of Pamelo Citrus Fruit Maturity with Impedance Spectroscopy Method Elfirza Rosiana; Hedy Aditya Baskara; Jan Setiawan; Donie Agus Ardianto; Abdurahman Abdurahman; Riski Maulana; Fitri Yanti
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 2 (2024): July, 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i2.144

Abstract

Citrus fruit is a fruit that is favored by the public. The quality of the fruit from the garden to the consumer goes through a long process. Generally, the quality of the fruit is evaluated by a visual judgment ratio that can be wrong. This method also only evaluates the external quality of the fruit. The internal quality of the fruit such as sugar content is determined by a refractometer which belongs to the destructive method, and is not suitable for online quality measurement. A non-destructive and objective method to evaluate the quality of citrus fruits is needed. Electrical Impedance Spectroscopy (EIS) method can be used in non-destructive investigation. In this study, a non-destructive measurement of pamelo orange fruit was developed. The impedance change of pamelo citrus fruits during ripening was observed over a period of one week. The impedance of pamelo orange fruit was measured by AD5933 evaluation board and then the measurement data was analyzed by EIS Spectrum Analyzer software. Frequency-related electrical characteristics were observed, the results showed that the electrical impedance decreased and the phase increased
The Effectiveness of Gambir Leaves (Uncaria gambir roxb) as A Biocoagulant in Reducing Pollutant in Palm Oil Mill Effluent Massaid, Andre; Putra, Syawal Andika; Anandhito, Muhammad Varrel; Habibullah, Ahmad Zaki; Maharjan, Namita; Putra, Alqadri Asri
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.163

Abstract

Crude Palm Oil (CPO) production increased to 46.82 tons in 2022 (BPS), and this manufacturing process produces wastewaste that is harmful to the environment. The quality standards for palm oil mill effluent (POME) include BOD 100 mg/L, COD 350 mg/L, TSS 250 mg/L, oil and grease 25 mg/L, and total nitrogen 50 mg/L. POME with high organic content can cause eutrophication, siltation, and death of aquatic organisms. One method of treating this wastewater can be carried out through coagulation. In water treatment, chemical coagulants are typically used to remove impurities, but biocoagulants from Gambir leaves offer a natural and environmentally friendly alternative. These biocoagulants can effectively treat water while reducing the need for synthetic chemicals, presenting a sustainable solution. Gambir leaves contain polyphenolic compounds that are effective as biocoagulants. This study examines the effectiveness of Gambir leaves as a biocoagulant in reducing palm oil effluent pollutants, including TSS, BOD, COD, oil and grease, and total nitrogen. This study includes the initial steps in making biocoaglant until examining POME wastewater. Based on the results of the study, it was found that Gambir leaves extract has the potential to reduce pH and remove TSS, BOD, COD, oil and grease, and total nitrogen contained in POME with a concentration variation of 1000 mg/L, 2000 mg/L, 3000 mg/L, and 4000 mg/L.
Implementation of Efficient Electric Vehicle Fast Charging System Using Dual Active Bridge Converter Aung, Myint Myat; Win, Soe; Thar, Hla Aye; Tun, Hla Myo
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.172

Abstract

The paper presents the electric vehicle charging model with fast DC charging technology based on the mathematical modelling and theoretical studies. The problem in this study is to model the fast charging system in order to describe the control and stability of DC bus voltage. The research direction in this study is to design a novel charger in reality. A novel 200 kW fast charger was designed for modeling of fast charging system. The proposed fast charger consists of two portions such as an AC-DC converter and a DC-DC converter using dual active bridge (DAB) technique performing a charging function. The parameters of consumable devices used in the model are mentioned for performance specifications. The main section is a design of transformer that used in the DC-DC converter in order to obtain isolation between the AC system and electric vehicle. This leads to achieve the improvements in the power quality on the AC grid. The performances of the proposed fast charger system were verified through simulations results. The modeling and simulations are performed in MATLAB/SIMULINK and all results confirm the feasibility of proposed design for experimental studies. The recommendation of the system was also given based on the comparison of recent works which were met the objectives of the studies.
Enhancing Workspace Ergonomics to Mitigate Musculoskeletal Disorders in Stamped Batik Production (Case Study at PT.XYZ) Fitriyah, Ita; Hutabarat, Julianus; Vitasari, Prima
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.178

Abstract

Batik is one of the works owned by the Indonesian Nation, which has noble values and is recognized by other nations. The rapid development of batik makes batik makers need to pay attention to the production process carried out, In carrying out the activities of making stamped batik, it has not been supported by a special work table. Still using an ordinary stamp table that is less comfortable to use for stamped batik. So that in doing their work craftsmen have low productivity and efficiency. This research was conducted at PT XYZ to evaluate and reduce the risk of musculoskeletal disorders in stamped batik makers through ergonomic work table redesign. The research method used is case study-based quantitative, with a population of PT XYZ employees who work as stamped batik makers. Primary data was collected through observation, questionnaires and interviews. Posture measurements were carried out using the NBM (Nordic Body Map) questionnaire, to determine musculoskeletal complaints including 28 muscle parts in the musculoskeletal system on both sides of the body right and left. Then posture measurements were taken using the REBA (Rapid Entire Body Assesment) method. The results of the NBM questionnaire showed that before the improvement of the stamp batik had a high chart of complaints of pain in the musculoskeletal muscles and also the results of the REBA score showed a high risk of musculoskeletal disorders, especially in the neck, shoulders, bronze, arms and legs. After the implementation of a more comfortable stamp work table design and stamp stove table (Adjustable) there was a significant decrease in the REBA score decreasing from 8 to 1. This shows a significant reduction in the risk of musculoskeletal disorders, so that ergonomic work table design can reduce the risk of musculoskeletal disorders at PT XYZ and increase worker comfort.
Simulation of Ground Settlement Using Plaxis for the Pekanbaru-Padang Toll Road Construction Project: A Detailed Analysis Saragih, Muhammad Sultan Mubaraq; Wulandari, Tika Ermita
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.181

Abstract

Geotechnical issues often include settlement and soil bearing capacity, which serve as the foundation for toll roads. Each toll road is designed with specific loads and elevations, which sometimes cannot be supported by the consolidation of the existing soil due to the soft soil characteristics. Soil improvement methods such as replacement (soil material replacement) and preloading are commonly used to enchace the shear strength of soft soils. This analysis aims to evaluate and compare the amount of consolidation settlement analytically using modeling in Plaxis 2D with a very fine mesh type, using settlement plate data from the field. The analysis compares the amount of consolidation settlement through Plaxis 2D modeling with a very fine mesh type and field settlement plate data. From the analysis the consolidation time using Plaxis 2D modeling is found to be 149 days, while the settlement time from the settlement plate data is 39 days. The consolidation settlement obtained from the plaxis 2D model with a very fine mesh is 0.056 meters, whereas the settlement from the settlement plate data is 0.416 meters, with a percentage difference of 86.53%. It can be concluded that the significant difference between the field data and the Plaxis 2D analysis results is due to the lack of data available for each soil layer.
Feature Extraction and Segmentation Methods in Plant Disease Detection: A Multimodal Approach Njoroge, Thomas Kinyanjui; Sindu, Kevin Mugoye; Rachael, Kibuku
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.182

Abstract

Plant disease detection is essential for improving agricultural productivity. Deep learning models have shown great potential in identifying plant diseases because they can leverage large datasets. However, while efficient, traditional machine learning methods often face challenges with generalization when trained on small datasets using basic features like shape, color, and texture. A promising approach to overcome this is the combination of deep feature extraction with machine learning classification, enabling more accurate disease detection. Traditional classifiers trained on smaller datasets can still offer viable solutions in resource-limited environments. By extracting critical features and employing classical techniques, these models remain practical for constrained settings. Integrating deep learning models with traditional methods allows for better handling of disease variability across plants and conditions, enhancing adaptability and accuracy. This review explores deep learning and traditional machine learning approaches for feature extraction and segmentation in plant disease detection. It highlights how combining deep feature extraction with machine learning classification improves accuracy and addresses the challenges posed by limited datasets. The potential of multimodal techniques for enhanced detection is also discussed, leading to more robust and scalable solutions for plant disease management.
Prediction of the Residual Compressive Strength of Rice Husk Ash Concrete after Exposure to Elevated Temperatures Using XGBoost Machine Learning Algorithm Ang'ang'o, Elvis; Abuodha, Silvester; Mumenya, Siphila
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.187

Abstract

The study aimed to assess the applicability of XGBoost in determining the residual compressive strength of rice husk ash concrete exposed to elevated temperature, reducing the need for costly, time-consuming laboratory experiments. Data was collected from the available literature, with 75% used for training and 25% for testing. Synthetic data was created using the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP). The model accuracy was checked using statistical scores: coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE). SHAP values were used for feature importance analysis. Coding was done in Python using Jupyter Notebook. With the original data, the model produced RMSE, R2, and MAE test values of 3.351, 0.939, and 2.994, respectively, indicating excellent performance. The combined original and synthetic dataset gave RMSE, R2, and MAE values of 0.071, 0.941, and 0.053, respectively, signifying improved performance. The feature analysis identified higher temperature, unheated compressive strength, and water-cement ratio as the most significant factors in the XGBoost prediction. The exposure duration, alumina content, and iron oxide had minimal influence.
Solar Drying Technology: Current Research Trends and Future Perspectives Apriandi, Nanang; Raharjanti, Rani; An-nizami, Avicenna; Herlambang, Yusuf Dewantoro; Pambudi, Yoyok Dwi Setyo; Rozi, Khoiri; Negara, Komang Metty Trisna; Setyowati, Nur
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 3 (2024): November 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i3.193

Abstract

Solar drying technology has become a vital innovation for sustainable food preservation and renewable energy utilization, offering an energy-efficient alternative to conventional drying methods. This study provides a comprehensive bibliometric analysis of research trends, influential authors, key institutions, and geographical contributions in the field of solar drying technology from 2004 to 2024. We analyzed 108 relevant publications using the Scopus database and VOSviewer software, revealing a significant increase in research output since 2010, with a marked surge after 2016. India and China emerge as leading contributors, driven by their large agricultural sectors and favorable solar conditions. Key research efforts have focused on improving energy efficiency, optimizing drying processes, and preserving product quality. Despite these advancements, critical gaps remain, particularly in scaling solar drying systems and integrating hybrid technologies that combine solar energy with other renewable sources. This study highlights the importance of interdisciplinary collaboration to advance technological innovation and address challenges in food security and energy sustainability. Future research should focus on developing hybrid systems, finding better ways to store energy, and studying how solar drying affects the taste and nutritional value of food in order to make it more useful in a wider range of climates and farming situations. Keywords: Solar Drying Technology, Bibliometric Analysis, Renewable Energy, Hybrid Systems, and Food Preservation.

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