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All Journal SAGA: Journal of Technology and Information Systems Mein: Journal of Mechanical, Electrical & Industrial Technology Sainstech Nusantara
Rama Arya Sobhita
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Physics Transportation

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Renewable Energy System Optimization: Mppt Inverter Integration, Energy Storage Systems, And Its Impact on Sustainability and Efficiency Use Of Energy Ary Pratama Paluga; Anggara Trisna Nugraha; Rama Arya Sobhita; Mukhammad Jamaludin
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 2 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i2.8

Abstract

Abstract: This study endeavors to enhance the utilization of solar panel energy by employing MPPT inverters and integrating energy storage systems. It will be conducted at the Renewable Energy Laboratory, Institute of Technology Sampling, spanning one academic year. Following an experimental research format with a single control group, measurements will be taken pre and post integration of MPPT inverters and energy storage systems to assess energy efficiency and supply stability. Primary data will be gathered from direct measurements of solar panels with integrated MPPT inverters and energy storage systems, encompassing energy production, supply fluctuations, and system stability. Data collection methods include direct measurements with state-of-the-art energy measurement equipment and interviews with renewable energy experts and technicians. Control of variables such as weather conditions and energy consumption will ensure information validity, while external validity will be bolstered by comparing findings with existing literature. Statistical analysis using advanced software will identify significant differences pre and post integration. Additionally, qualitative observations will be conducted to evaluate system stability and the impact of optimization on the sustainability and efficiency of renewable energy utilization.
Photovolitaics Concept Integrated on the Grid With the STT-PLN Building Anggara Trisna Nugraha; Dimas Bayu Dwi Saputra; Rama Arya Sobhita; Muhammad Bilhaq Ashlah
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 1 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i1.9

Abstract

As we enter the 21st century, concerns over dwindling oil and gas reserves have become more pronounced. With energy demand on the rise, particularly in developed nations, projections indicate a 70% increase between 2000 and 2030. By the year 2017, global electricity demand is expected to reach 25.4 trillion kWh. Solar energy emerges as a promising solution, especially in regions like Indonesia, where the entire mainland covers roughly 2 million km2 and receives an average daily radiation distribution of 4.8 kWh/m2. This translates to a solar energy potential of 5.10 mW, equivalent to 112,000 GWp. Technically speaking, solar panels have shown an efficiency improvement of 17.4%. When considering components and the quality absorbed by solar power plants (PLTS) synchronized by KWH EXIM, calculations reveal a performance ratio of 81%, confirming the technical feasibility of implementing such systems
Comparison of System Optimization Methods: LQR vs. LQT on the Output Response of IG-42CRGM DC Motor Muhammad Bilhaq Ashlah; Nugraha, Anggara Trisna; Rama Arya Sobhita; Geniari Nastiti
SAINSTECH NUSANTARA Vol. 2 No. 4 (2025): November 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i4.99

Abstract

DC motors are widely utilized in industrial applications for their reliability and efficiency. To optimize their performance, it is crucial to employ control systems supported by mathematical modeling to predict motor responses under varying conditions. This study investigates the first- and second-order models of DC motors and examines the impact of internal disturbances (noise) on system performance. The output responses of two DC motors, the 42BLFX02 and Maxon EC-I 40 (70W), are compared under both undisturbed and noisy conditions using simulations. The results reveal that the second-order model offers a more stable response and better aligns with the desired target compared to the first-order model. Furthermore, the application of the Linear Quadratic Regulator (LQR) control method significantly enhances the speed and accuracy of reaching the motor set point. However, when noise is introduced, the LQR method fails to maintain stability, and the motor's output starts to mirror the disturbance pattern. These findings highlight that while LQR is effective under ideal conditions, its performance diminishes when exposed to disturbances. Therefore, additional strategies are necessary to ensure stability and optimal performance in real-world conditions, particularly in environments with significant noise or disturbances.  
Enhancing LQR and LQT Control Strategies for the Output Performance of PG36M555 DC Motors Akhmad Azhar Firdaus; Nugraha, Anggara Trisna; Rama Arya Sobhita; Dhadys Ayu Juli Anjhani
SAINSTECH NUSANTARA Vol. 2 No. 4 (2025): November 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i4.101

Abstract

A DC motor is commonly utilized as an actuator due to its ability to produce high torque. Controlling the motor's speed is one of the primary methods to manage its performance. Among various wireless communication options, radio waves are preferred since they do not require a clear line of sight between the transmitter and receiver. Employing multiple antennas offers benefits such as enhanced reliability and increased data transmission rates. This study focuses on designing and simulating four types of systems: SISO, SIMO, MISO, and MIMO. The performance of these configurations is evaluated and compared using Signal-to-Noise Ratio (SNR) and channel capacity, with variations in antenna count. Simulations were carried out in MATLAB to analyze how different antenna quantities (4, 8, and 16) affect channel capacity across an SNR range of 0 to 30 dB. The simulation outcomes reveal a substantial rise in system capacity, reaching up to 214 bits/Hz/sec when a 16x16 MIMO setup is applied at 30 dB SNR.
Co-Authors Ahmad Raafi Fauzi Akhmad Azhar Firdaus Ananda Ismul Azam Anggara Trisna Nugraha Anisa Fitri Santosa Ary Pratama Paluga Asri, Purwidi Dhadys Ayu Juli Anjhani Dimas Bayu Dwi Saputra Dimas Eka Saputra Epyk Sunarno Fahmi Yahya Saputra Geniari Nastiti Hendro Agus Widodo Isa Rachman Ivan Azwar Septiadi Joesianto Eko Poetro Mohammad Abu Jamiin Mohammad Basuki Rahmat Muhammad Bilhaq Ashlah Muhammad Fikri Fathurrohman Muhammad Izzul Haj Muhammad Naufal Maulana Mukhammad Jamaludin Rachma Prilian Eviningsih Raimundus Risa Arnestanta Rony Dwi Kristiawan Sindy Yurisma Sheila Urip Mudjiono Zaki Wicaksono