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Implementasi CUK Inverting Konverter Pada Battery Charging Terintegrasi Fotovoltaik Berbasis PID Amalia, Rahma Nur; Syamsiana, Ika Noer; Madani, Lingga Ahadian; Widhi, Tri Warisaning
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.7286

Abstract

This study aims to test the performance of PWM, voltage sensors, ACS712 current sensors, and the efficiency of the inverting CUK converter in an energy conversion system. PWM testing showed a stable output frequency of 31.250 Hz across various duty cycles. Voltage sensor testing resulted in an average error of 1.2% for the solar panel sensor and 2.2% for the battery sensor, indicating good accuracy. ACS712 current sensor testing showed an average error of 1.5% at the solar panel input and 9.7% at the converter output to the battery. The inverting CUK converter achieved a maximum efficiency of 89% at a 14% duty cycle. These results indicate that the developed system has high accuracy and efficiency in power conversion. Paying attention to efficiency and accuracy will bring great benefits, such as cost efficiency, system stability, high energy quality. An important contribution of this research is to improve the efficiency and stability of renewable energy systems, especially those integrated with solar panels and batteries, and to support the development of more environmentally friendly and sustainable energy solutions.
Optimal power control for wind/solar hybrid energy system based on multi-objective particle swarm optimization Putri, Ratna Ika; Ronilaya, Ferdian; Syamsiana, Ika Noer; Amalia, Zakiyah; Jasa, Lie
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9350

Abstract

The effectiveness of wind and solar energy as electricity generators is significantly impacted by unpredictable and varied environmental circumstances, which affect the output power of the wind-solar hybrid power generation system. So, a control system is required for the optimal power production of hybrid renewable energy systems (HRES). This study delineates optimal power management in wind/solar hybrid energy systems by the application of multi-objective particle swarm optimization (MOPSO) algorithms, inverter controllers, and battery controllers. The MOPSO algorithm enhances power generation by modifying the duty cycle of the direct current (DC)/DC converter based on the output from the wind turbine and photovoltaic (PV) system. The proportional-integral (PI) controller functions as both an inverter and battery controller to ensure the constancy of the DC link voltage and output power. The efficacy of the developed control was evaluated using simulation. A comparison has been conducted between the efficacy of the MOPSO algorithm and the perturb and observe (PO) approach. The simulation findings indicate that the MOPSO algorithm surpasses the PO method for performance and output power. The output power produced by HRES with the MOPSO algorithm exceeds that of the PO approach. Optimal power control utilizing MOPSO can yield optimal power despite fluctuations in wind and solar intensity.
ANALISA EKONOMI KUB MUSTARIKA JAYA MAKMUR DALAM PRODUKSI KEJU MOZZARELLA Widya Amalia, Elsa; Irfin, Zakijah; Noer Syamsiana, Ika; Hadi Susilo, Sugeng; Moentamaria, Dwina; Rulianah, Sri; Dwi Chrisnandari, Rosita
DISTILAT: Jurnal Teknologi Separasi Vol. 11 No. 3 (2025): September 2025
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/distilat.v11i3.7462

Abstract

Keju mozzarella merupakan salah satu produk olahan susu yang menunjukkan tren konsumsi yang meningkat di Indonesia dalam beberapa tahun terakhir. Penelitian ini bertujuan untuk mengevaluasi kelayakan ekonomi produksi keju mozzarella skala pilot di KUB Mustarika Jaya Makmur, Desa Ngantru, Kecamatan Ngantang, Kabupaten Malang. Proses produksi menggunakan teknologi tepat guna berupa sistem pasteurisasi berbasis Pulse Electric Field (PEF) yang terintegrasi dengan fermentor, dengan kapasitas 5 kg keju per batch dari 50 liter susu sapi segar dan dirancang untuk beroperasi selama 350 hari per tahun. Analisis ekonomi dilakukan dengan menghitung kebutuhan investasi awal (Fixed Capital Investment, Working Capital Investment, dan Total Capital Investment), biaya produksi tahunan (Total Production Cost), serta indikator profitabilitas usaha yang mencakup Return on Investment (ROI), Payback Period (POT), Break Even Point (BEP), Shut Down Point (SDP), dan Internal Rate of Return (IRR). Hasil perhitungan menunjukkan bahwa nilai investasi total mencapai Rp174.781.031,10, dengan biaya produksi tahunan sebesar Rp203.264.573,47 dan laba bersih setelah pajak sebesar Rp40.388.341,22. ROI tercatat sebesar 23,12%, dan modal dapat kembali dalam waktu 2,5 tahun. Titik impas tercapai pada kapasitas 58,71%, sementara SDP berada pada 14,28%. IRR sebesar 19,25% menyatakan bahwa usaha ini layak secara finansial.