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Syafii
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LPPM Universitas Andalas Gd. Rektorat Lt. 2, Kampus Limau Manis, Padang 25163, West Sumatra, Indonesia
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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 12 Documents
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Search results for , issue "Vol. 5 No. 2 (2025): July 2025" : 12 Documents clear
Challenges of Drinking Water Supply in Indonesian Cities: A Brief Review Ihsan, Taufiq; Ilfan, Freddy
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.160

Abstract

The supply of safe drinking water in the developing world, particularly in Indonesia, has remained one of the major challenges. Millions are still without access to clean water, which inflicts public health and has negative implications for socioeconomic development. This paper elaborates on the multifaceted challenges facing the drinking water supply in Indonesian cities, from inconsistent policies and lack of autonomy for Water Agencies to aging infrastructure, unreliable power supply, and inadequate investment. Brief case studies from Jakarta, Surabaya, and Padang plainly bring out the specificity of issues in various cities. The paper suggests that solutions can lie in policy reform, empowering the water agencies, fighting corruption, greater investment in infrastructure, making the most of pricing and cost recovery, and strategic engagement with the private sector. Unless these are addressed, such challenges will persist in hindering the progress of Indonesia toward the universal access goal for all urban residents to sufficient, safe, reliable, and affordable drinking water
Design and Development of a Smart Farm for Broiler Chickens Aged 1 to 10 Days Based on the Internet of Things Chairil Pratama; Asri, Asri; Daud, Muhammad; Taufiq, Taufiq; Fariadi, Dedi
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.166

Abstract

Broiler chickens have a lower heat tolerance compared to layer chickens, with a normal temperature range of 30 to 33 degrees Celsius. In Desa Sungai Kuruk III, farmers often use traditional methods like burning charcoal and wood to heat the coop, often without considering the ideal temperature standards for broiler chicks aged 1 to 10 days. This method can result in temperatures that are too high or too low, harming the health and growth of the broilers. This research aims to ensure the ideal temperature in broiler coops using smart farm technology based on the Internet of Things (IoT). Through real-time temperature control and monitoring via the web, the coop temperature can be automatically adjusted to remain optimal. This technology allows for more accurate and efficient temperature regulation compared to traditional methods and facilitates remote monitoring of the coop. This research is expected to help broiler farmers in Desa Sungai Kuruk III improve the productivity and welfare of their livestock through the application of modern technology in farm management.
A Comprehensive Review of Vehicle-to-Grid Technology Effect on Frequency Stability in Electric Power Systems Dewi, Citra; Adrianti, Adrianti; Nasir, Muhammad
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.203

Abstract

Vehicle-to-Grid (V2G) technology is an innovative concept designed to support frequency stability by enabling two-way energy exchange between electric vehicles (EVs) and the power grid, especially in systems with high penetration of renewable energy resources. This paper examines the battery electric vehicles’ demand nature also as an ancillary support resource to address intermittency of renewable energy sources and grid frequency support through V2G technology. The study highlights technological issues such as degradation rates of batteries, communication difficulties, and scaling problems alongside issues of regulation and market that encompass large-scale implementation of V2G. Tackling the effectiveness of V2G systems in frequency regulation The effectiveness of approaches like virtual inertia emulation, enhanced control algorithms, and decentralized frameworks are discussed as ways of enhancing V2G systems. These findings reaffirm that V2G has tremendous potential in the electric grid yet, it must be noted that solving these issues remains critical through transformational research and policy strategy. The conclusions help to better understand the prospects for improving V2G towards more accurate support for frequency stability in transition to sustainable energy systems.
A Robust Automatic Transfer Switch System for Managing Power Transitions between Grid, Solar PV, and Genset Sources Syafii, Syafii; Perdana Putra, Ilham
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.219

Abstract

This article presents the design and implementation of an Automatic Transfer Switch (ATS) system with automatic generator activation, aimed at ensuring the continuity of electricity supply from the National Electricity Company (PLN) grid, photovoltaic (PV) systems, and generator sets (Gensets). As reliance on the PLN grid is often compromised by various disruptions, including short circuits and natural disasters, integrating reliable backup energy sources is essential for maintaining operational efficiency across critical sectors such as healthcare, education, and industry. The ATS is structured to facilitate seamless transitions between power sources, minimizing downtime and enhancing system reliability. Test results demonstrate the ATS's effectiveness in managing switching processes, showing minimal voltage fluctuations and flicker durations, which underscores its capability to sustain uninterrupted power supply. By employing advanced monitoring technologies, this ATS system not only optimizes energy management but also bolsters the resilience of electrical infrastructure, addressing the growing need for dependable electricity in an increasingly variable energy landscape.
The Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm Baik Budi; Ilhamdi Rusydi, Muhammad; Arya Witama, Reivan; Hesti Ramadhamy, Queen; Budiman, Refki
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.223

Abstract

This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. Data set for this research is public dataset from Kaggle. The main goal of the research is to develop an accurate and efficient predictive model. Naive Bayes was chosen it has ability to handle independent features and also have a compatibility with highdimensional data. The implementation was carried out using Python in Google Colab, with data preprocessing that included feature normalization and an 80:20 train-test split. The Gaussian Naive Bayes model was used for system stability classification. The results demonstrate excellent model performance, with an accuracy of 97.35%, precision of 98.91%, recall of 97.02%, and an F1-score of 97.95%. The confusion matrix reveals the model's ability to classify "stable" and "unstable" conditions with minimal prediction errors.
A Comparison of Polyol Ester and Mineral Oil under Thermal Aging Rajab, Abdul; Kamil, Insannul; Kamarol Mohd Jamil, Mohamad; Kurniawan, Septian Ari; Rohadi, Nanang; Emiliano, Emiliano
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.231

Abstract

Insulating oil was historically dominated by mineral oil due to its cost-effectiveness and good properties. However, the limitations of mineral oil, particularly its availability and environmental concerns, present significant long-term operational risks. Polyol esters, synthesized through specific chemical processes, demonstrate biodegradability and operational safety. This research evaluates the electrical, physical, and chemical properties of both oil types, focusing on parameters such as breakdown voltage, water content, acidity, viscosity, and density. Results indicate that polyol ester oils exhibit a more stable breakdown voltage and better moisture management due to higher water absorption capacity, and greater density stability and viscosity even after prolonged thermal aging. Despite a more pronounced increase in acidity, polyol ester oils positioning as a promising and sustainable alternative for long-term use in oil-filled electrical equipment such as transformers. This aligns with industry objectives for enhanced environmental sustainability and operational reliability.
A Goal Programming Optimisation of Machining Parameters during the Production of Ti-Alloy Components on the CNC Lathe Tayisepi, Nicholas; Madyira, Daniel M; Tawanda, Trust; Mugwagwa, Lameck
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.235

Abstract

This experimental study, presents results of goal programming forecasting and optimising Ti6Al4V alloy components cutting conditions. During machining the optimising challenge concerns desirability of minimalising power consumption; cutting tool wear and cutting forces whilst simultaneously realising elevated material removal rate and advancing workpiece surface quality. Cutting process parameters optimisation is essential contemplation triggering proficient manufacturing activities enhancing competitiveness. Harmonising the miscellany machining conditions such that these contradictory intentions are, simultaneously, tackled portends well for sustainability of the machining activity. In this research, outside cutting tests were carry out, on the lathe machine, with coated carbide tipped tools at various parameter setting levels. Cutting speed and feed rate were characterised against dependent factors. Mathematical Modeling, was carried out in Minitab 22.1 Software. The models were uploaded on goal programme optimiser, LINDO/LINGO software, to predict the appropriate cutting parameters for a determinate machining situation. Goal Programme simulation results, with the performance factors equally weighted, produced optimum cutting parameters, vc = 227 mmin-1 and fn = 0.2416 mmrev-1. Validation experiments confirmed applicability of goal modeling in machining planning parameter prediction. Results showed fidelity of goal programming consistency as forecasting tool for titanium cutting parameters on the CNC lathe. Future research is delineated.
The Effects of Angle of Attack, Aspect Ratio, and Leading-Edge Curvature on Supersonic Fin Performance Shiddieqy, M. Hasbi Ash; Andoko, Andoko
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.243

Abstract

The aerodynamic optimization of fin-stabilized rockets operating under supersonic conditions remains a critical challenge in aerospace enginnering. Current studies often fail to capture the combined effects of multiple geometric parameters on aerodynamic performance. This research employs a full-factorial design of experiments (DoE) integrated with computational fluid dynamics (CFD) simulations using the k-w SST turbulence model to evaluate the influence of angle of attack (AoA), fin aspect ratio, and leading-to-drag ratios, with higher AoA increasing lift but also inducing drag penalties. Contrary to conventional assumptions, lower aspect ratios (around 0.3) produced higher lift, while increasing aspect ratio resulted in more complex shock interactions and drag rise. A progressive increase in leading-edge curvature improved lift and reduced drag, with the best performance observed at curvatures around 30-40 mm. These findings highlight the critical role of geometric configuration in managing supersonic aerodynamic behavior, including shock wave formation, boundary layer dynamics, and vortex control. The study provides a comprehensive framework for optimizing fin geometry to enhance aerodynamic efficiency in high-speed flight.
The Mechanical Properties of a High Volume Natural Pozzolan Roller Compacted Concrete for Dams – Laboratory and Field Trials Karuge, Amos; Mumenya, Siphila; Abuodha, Silvester; Munyua, Muthomi
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.244

Abstract

This article reports the experimental findings of critical thermo-mechanical properties of RCC containing a high proportion of natural pozzolan as a supplementary cementitious material for Roller Compacted Concrete (RCC) dam construction, and was accomplished through laboratory and field trials. Natural pozzolan such as volcanic ash is a promising alternative to the industrial supplementary cementitious materials (SCM) such as flyash especially where the industrial SCM are economically unavailable as well as due to their expected shortage in the near future following greener energy sources and the need to reduce carbon emissions of concrete. Based on this research, the RCC with a cement replacement of up to 68% with natural pozzolan has produced satisfactory mechanical properties for dam construction and with nearly ideal thermal properties. The results are comparable to other international RCC dams and the RCC mix is considered appropriate for construction of a high quality and durable dam structure whilst contributing to sustainable construction.
The Impact of Load Variations on The 300 W Pico-hydro Power Plants Parameters (Voltage, Current, Frequency and Generator Speed) Hendri, Zulka; Seftiani, Yudia Meka; Abadi, Akbar; Wiharti, Wiwik; Herisajani, Herisajani; Yandri, Valdi Rizki; Haryadi, Yuda; Mayura, Yona
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.249

Abstract

This research examines how load variations affect the performance of a pico-hydro power system, specifically focusing on voltage, current, frequency, and generator speed. Experiments were carried out through direct measurement under different load conditions. The findings reveal that as the load increases, the output voltage decreases due to higher circuit resistance, while the output current rises significantly. The generator frequency remains relatively stable under light loads but starts to fluctuate near full capacity, indicating the need for improved regulation. Similarly, the generator’s rotational speed declines with higher loads, signaling a performance limit. These results highlight the critical relationship between load changes and system performance, providing valuable insights to enhance the efficiency and stability of pico-hydro systems, especially for renewable energy applications in remote areas.

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