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Dwi Ajiatmo
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Optimasi AVR Pada Pembangkit Listrik Mikro-hidro Menggunakan Metode Differential Evolution (DE) Rio Firmansyah; Budiman; Dwi Ajiatmo; Agus Raikhani
SinarFe7 Vol. 2 No. 1 (2019): Sinarfe7-2 2019
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Mikrohidro memiliki tiga komponen utama dalam pembangkitan yaitu air (sebagai sumber energi), turbin, dan generator. Air yang mengalir dengan kapasitas tertentu disalurkan dengan ketinggian tetentu menju rumah instalasi (rumah turbin). Pada rumah tersebut (power-house) instalasi air tersebut akan menumbuk turbin, dipastikan turbin akan menerima langsung energi dari air dan mengubahnya menjadi energi mekanik yang menyebabkan berputarnya poros turbin. Perubahan beban dapat menyebabkan seringnya fluktuasi pada frekuensi dan tegangan system. Perihal ini dapat menyebabkan kerusakan pada peralatan listrik. Karena itu digunakan Automatic Voltage Regulator (AVR) agar mengontrol tegangan dapat lebih stabil. Untuk mendapatkan parameter kontrol optimal pada sistem pembangkit listrik tenaga air mikro digunakan PID controller. Penelitian ini membandingkan metode tanpa control, metode kontrol PID-ZN, metode PID-DE, agar diperoleh metode kontrol yang paling baik. Dari perbandingan hasil simulasi didapatkan, bahwa respon terbaik pada system pembangkitan mikro-hidro diperoleh dari model control PID-DE kontroller dan respon terbaik pada sistem AVR pada model kontrol PID-DE kontroller. Hasil penelitian ini nantinya akan dicoba bengan metode lain, yang hasilnya mungkin akan lebih baik.
Analisis Perencanaan Investasi Jaringan Tenaga Listrik Dwi Ajiatmo; Henny Dwijayani
Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i2.11

Abstract

Electricity is able to make a positive change and contribution to people's lives and well-being. This study aims to assess the feasibility of investment in the construction of low voltage electricity networks. The method used with project evaluation analysis is based on financial analysis. The criteria used to analyze activities carried out for 10 years use payback period (PP) analysis, net present value (NPV), internal rate of return (IRR), and profitability index (IP). The results showed that the analysis of investment planning can be carried out with the consequence of the results obtained in the form of not so large returns. PP results show the investment value with the payback period method will Return in the 9th year, while the positive NPV value is still above zero while the IRR value shows the value of 11% below the social discount rate as well as the IP value showing the value of 0.90. The feasibility of investment in terms of economic-financial analysis by looking at per criteria shows that investment is still feasible to be carried out with minimal profit levels.
SF50 Desain dan Implementasi MPPT Perturb & Observe (P&O) pada Buck Converter sebagai Penyedia Energi untuk Sistem Pengering Biji Kopi Berbasis Photovoltaic Iqbal Nurhamzah Nurhamzah; Dwi Ajiatmo; Rukslin
SinarFe7 Vol. 8 No. 1 (2026): Sinarfe7-8 2026
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Post-harvest drying is a critical stage in determining coffee bean quality, yet small-scale farmers still largely rely on conventional sun drying, which is highly weather-dependent. This study focuses on the design and performance analysis of a Maximum Power Point Tracking (MPPT) algorithm using the Perturb and Observe (P&O) method on a buck-converter-based Solar Charge Controller (SCC) for a small-scale off-grid coffee bean drying system. The energy source is a 30 Wp Maysun Solar MS30M-36 monocrystalline panel charging a 12V 8Ah VRLA battery, with duty-cycle control executed by an Arduino UNO microcontroller using a four-branch decision-tree logic based on ΔP and ΔV readings. The design was validated through PSIM simulation prior to hardware testing. Simulation results show the P&O algorithm locks the panel operating voltage at 18.30 V (close to Vmp) within a tracking time of approximately 0.035 s, raising the output power from 22.00 W to 30.80 W (a 40.0% increase) compared to a static duty-cycle system. Real-world hardware testing shows the P&O MPPT system maintains the panel voltage within 16.63 V–16.97 V with a peak input power of 25.96 W and an average converter efficiency of 86.73%, markedly outperforming the non-MPPT system, which only reached a peak power of 17.02 W. These results confirm that the P&O algorithm significantly improves photovoltaic power extraction efficiency and is feasible for small-scale off-grid coffee bean drying applications.
Co-Authors Agus Raikhani Budiman Febrian Rizal Anas Henny Dwijayani Henny Dwijayani Hidayatul Nurohmah Iqbal Nurhamzah Nurhamzah Machrus Ali Muhlasin Muhlasin Rio Firmansyah