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Muhammad Ghalih
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muhammad.irfan.dzaky@polsri.ac.id
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International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS)
Published by Yayasan Ghalih Pelopor Pendidikan
ISSN : 30266815     EISSN : 30265673     DOI : https://doi.org/10.53893/ijmeas.v2i1
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering
The International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) is a double-blind peer-reviewed journal. This journal provides full open access to its content on the principle that making research freely and independently available to the science community and the public supports a greater global exchange of knowledge and the further development of expertise in the field of engineering. IJMEAS is since the beginning independent from any non-scientific third-party funding. The establishment of the journal was supported between 2023 with grants from the Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation). All members of IJMEAS work on an honorary basis. The journal is hosted by Ghalih Publishing, the publishing house of the Ghalih Academic and University Library.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 26 Documents
 1   2   3 
OPTIMIZING THE PERFORMANCE OF WIND TURBINES USING EXHAUST GAS AT THE BORANG GAS POWER PLANT Fitrianza; Arifin, Fatahul; RS, Carlos
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.405

Abstract

As a renewable energy source, wind energy is one of the promising energies to be developed using wind turbines. The wind source to drive wind turbines comes from natural wind sources and exhaust wind from equipment. Palembang is one of the provinces in Indonesia with relatively low wind energy potential, with an average wind speed ranging from 1.5 to 3 m/s. However, at the PLTG Sematang Borang power plant owned by PT PLN, there is equipment that produces exhaust wind with a speed of 5 m/s. This study will compare the performance of Horizontal Axis Wind Turbines (HAWTs) and Savonius Vertical Axis Wind Turbines (VAWTs) to design wind turbines that can meet power generation needs and reduce operational power consumption.
SYNERGY OF GREEN ENERGY AND SMART TECHNOLOGY: APPLICATION OF RECURRENT NEURAL NETWORKS IN SOLAR-POWERED AGRICULTURE Maulidina, Elfira; Dewi, Tresna; Kusumanto, Raden
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.406

Abstract

In an effort to improve energy efficiency and sustainability in the agricultural sector, smart technology has been integrated into the greenhouse system. The research utilizes the Recurrent Neural Network (RNN) algorithm to forecast values of irradiance on a time principal. The RNN algorithm is chosen for its ability to handle time-series data and predict patterns based on historical data. By using the RNN algorithm, the system can predict real-time needs and then use this information to optimally distribute power from solar power plants. Additionally, this system is equipped with Internet of Things (IoT)-based monitoring capabilities, allowing remote monitoring and control of the research object. Connected IoT sensors collect real-time environmental data and send it to the data server for analysis. The data is also used to update the model of RNN, making supply prediction more accurate over time. The implementation results show increased energy efficiency and reduced operational costs in Green House management. By leveraging AI and IoT technology, model evaluation is conducted using RMSE, MSE, MAE, and R-squared (R²) metrics as important indicators of model accuracy. The evaluation results indicate that this model can provide accurate predictions of irradiance patterns, with low RMSE and MAE values and R² approaching one, signifying excellent implementation in capturing data dynamics.
Performance Evaluation of a Hybrid Solar Panel and Thermoelectric Generator (TEG) System with Copper Plate Enhancement on the Hot Side Bayusari, Ike; Ronting, Virgie Claudia; Soraya, Ayu; Caroline; Hermawati; Rahmawati
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.409

Abstract

The utilization of solar energy is commonly achieved through solar panels; however, heat dissipation from the panels often reduces their overall efficiency. A hybrid system combining solar panels and thermoelectric generators (TEGs) offers a potential solution to this issue. To enhance the temperature difference (∆T) across the TEG, a metal plate can be added to the hot side, while a heatsink is applied to the cold side. This study investigates the performance of three prototype configurations: a 2.4 Wp monocrystalline solar panel integrated with a TEG module, with variations in the addition of a copper plate, an aluminum plate, and no plate on the TEG hot side. Experimental results demonstrate that the prototype with a copper plate yielded the highest average values, with a ∆T of 8.63 °C, voltage of 11.57 V, current of 0.17 A, and power output of 2.02 W. In comparison, the aluminum plate prototype achieved a ∆T of 6.11 °C, voltage of 11.57 V, current of 0.16 A, and power output of 1.71 W, while the prototype without any plate produced a ∆T of 5.80 °C, voltage of 10.79 V, current of 0.15 A, and power output of 1.63 W. Among all tested configurations, the copper plate prototype exhibited superior performance, attributed to the high thermal conductivity of copper, which significantly enhances the ∆T across the TEG, thereby increasing electrical output.
Influences of Wall Angle on Forming Forces in Single-Point Incremental Forming Ho, Ky-Thanh; Nguyen, Duc-Hoa; Giang, Quyet-Thang
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 3 (2025): IJMEAS - September
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study presents experimental results evaluating the influence of wall angle on the forming process of AA5052 aluminum alloy sheets using the incremental sheet forming process. The wall angle investigated varied within the range of 45°-50°-55°-60°, with step-down sizes chosen as 0.5mm and 1.0mm. The forming process was conducted under lubrication conditions, with other parameters remaining constant, including a feed rate of 2400 mm/min, a forming depth of 30mm, a non-rotating tool configuration, and a spatial screw trajectory. The analysis of forming forces showed that the process underwent three distinct stages and reached a stable state when the main forming force, Fz, attained its peak value. Additionally, as the forming angle increased, all forming force components exhibited a corresponding increase. The results indicated that at a forming angle of 60°, the process was unsuccessful for both step-down sizes, as the excessive thinning of the sheet led to material failure. The results also showed that as the step-down size increased, surface waviness became more pronounced.
Supply Stability and Battery Protection in Rooftop Solar Pv System: A Hybrid Energy Approach Sari, Desti Erwita; Rusdianasari; Taqwa, Ahamad
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 3 (2025): IJMEAS - September
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i3.432

Abstract

This study looks at how a hybrid rooftop solar power system works when connected to the national electricity grid, and how well it keeps the power supply steady for constant loads. The research has three main goals: setting up the hybrid energy system properly, protecting the batteries from damage, and using IoT technology to keep track of and control the system. Data was gathered over two weeks using a real-time monitoring tool called Adafruit IO. They checked several things like current, voltage, power flow, and how well the batteries were performing, including their charge level and how much they were being used. The results show the hybrid solar and grid setup works well. It uses solar power whenever it’s available and switches automatically to the grid when there’s not enough sunlight. The batteries stayed fully charged at 100%, which means they weren’t being used much and weren’t getting worn out quickly, helping them last longer and work better. Also, using IoT made it possible to monitor the system from a distance, collect data in real time, and make decisions automatically. This helped track how much energy was being made and used, spot any problems early, and control the power sources smartly. The research shows that this hybrid solar system, with IoT monitoring is a good way to keep the power steady for constant needs while keeping the batteries in good shape. 
Internet of Things Based Temperature and pH Stabilization Control System in The Pome Biodigester Fermentation Process at PLTBg Mustofa; Dewi, Tresna; Bow, Yohandri
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 3 (2025): IJMEAS - September
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i3.433

Abstract

The Government of Indonesia is striving to reduce dependence on fossil fuels by increasing the use of renewable energy (RE), with a target of achieving 23% by 2025. Biogas Power Plants (PLTBg) are one of the solutions that utilize palm oil mill effluent (POME) to produce biogas through anaerobic fermentation. The currently operating systems face problems and challenges in monitoring and operating mesophilic digesters, particularly covered lagoon types, which are managed conventionally, resulting in frequent drops in temperature and pH levels. To address these issues, automation was implemented in the temperature and pH control systems, with the expectation of increasing biogas production. This study adopted an approach that involved recording temperature and pH data, analyzing their upper and lower thresholds, and developing a laboratory-scale model that simulates industrial conditions. This model was equipped with a temperature and pH control system, along with monitoring and control coding. In the laboratory-scale POME digester prototype using actual POME liquid as the test medium, it was demonstrated that temperature and pH could be effectively monitored and controlled by automatically regulating the POME pump motors. The study results show that temperature control was maintained within the range of 38–41 °C, and pH control within the range of 6.5–8. The temperature drop from 40 °C to 35 °C occurred over 274 minutes. The temperature control response time was 5.6 seconds. The pH decrease rate due to the addition of fresh POME was 2.04, with a pH control response time of 8.5 seconds.

Page 3 of 3 | Total Record : 26

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