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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Majalah Ilmiah Teknologi Elektro Jurnal Pendidikan Teknologi dan Kejuruan Mechatronics, Electrical Power, and Vehicular Technology Semesta Teknika Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Briliant: Jurnal Riset dan Konseptual JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI INOVTEK POLBENG Techne : Jurnal Ilmiah Elektroteknika Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal INOVTEKSeri Elektro JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Innovation Jurnal Ilmiah Teknik Elektro Jurnal Rekayasa elektrika Suara Teknik : Jurnal Ilmiah The Indonesian Journal of Computer Science
Novie Ayub Windarko
Politeknik Elektronika Negeri Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Journal : JURNAL INTEGRASI

 1 
SISTEM PENDINGINAN AIR UNTUK PANEL SURYA DENGAN METODE FUZZY LOGIC Maruto Swatara Loegimin; Bambang Sumantri; Mochamad Ari Bagus Nugroho; Hasnira Hasnira; Novie Ayub Windarko
JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.773 KB) | DOI: 10.30871/ji.v12i1.1698

Abstract

Sun light is one form of energy from natural resources. These solar natural resources have been widely used to supply electrical power in communication satellites through solar cells. This solar cell can produce unlimited amounts of electrical energy directly taken from the sun. The solar panel itself has the maximum body temperature which influences the output of the solar panel. Solar cell panels have a decreased ability to generate electricity if it overheats or goes through the limits of effectiveness. Therefore, a cooling tower system is developed using the Fuzzy Logic method through this study with the aim of maximizing the efficiency of solar cell panels in generating electricity and analyzing Solar Panel systems( Photovoltaic). The data analyzed are: 1) The method of cooling solar panels using the cooling tower system with fuzzy logic methods, 2) Efficiency of Solar Cell Panels in generating electricity, 3) Electric power produced by solar cell panels. The results of this study explain that the use of fuzzy logic can regulate the speed of water for cooling on panels so that it can be said that the cooling system for solar panels is suitable for use in the tropics, because sunlight is very abundant and is in the equatorial area.
System Design of Three Phases Six Legs DC/DC Converter for Solar Cell Muhammad Prihadi Eko Wahyudi; Qoriatul Fitriyah; Novie Ayub Windarko
JURNAL INTEGRASI Vol 13 No 2 (2021): Jurnal Integrasi - Oktober 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v13i2.2024

Abstract

this paper describes the design of full bridge DC to DC converter 3 phase six legs for solar PV. The prototype is built with 5 kHz transformers, 2 lead-acid batteries with each energy storage of 12V, 7.2Ah and 20WP solar PV. Three phase switching is provided by analog op-amp comparator circuit with variable frequency 1 kHz-20 kHz. The controller of the converter use adjustable DC power supply as voltage reference for analog op-amp comparator, works varies from 0-11VDC (0%-50% duty cycle) and controlled manually
EFFICIENT MAXIMUM POWER POINT ESTIMATION MONITORING OF PHOTOVOLTAIC USING FEED FORWARD NEURAL NETWORK Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono; Mochammad Ari Bagus Nugroho; Mentari Putri Jati
JURNAL INTEGRASI Vol 12 No 2 (2020): Jurnal Integrasi - Oktober 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v12i2.2161

Abstract

The development of the utilization of solar panels in the future will continue to increase. One characteristic form of solar panels is the I-V curve which can be used to analyze the amount of solar panel output power. By knowing the I-V curve, we can get Maximum Power Point Estimation (MPPE) value that can be supported by solar panels. Information about the estimated value of the maximum solar panel power is an important part in determining the loading capacity, while maintaining the life of the equipment used. Feed Forward Neural Network with Back Propagation Algorithm (FFBP) has proven to be able to provide MPPE value information on solar panel output. The input values ​​in ANN are the voltage and current of the solar panel, while the output of ANN is in the form of an estimated power value. MPPE simulation results obtained an average error of 0.04 points between actual power (MPP) and estimated power (MPPE).
ESTIMASI STATE OF CHARGE BATERAI LITHIUM POLYMER MENGGUNAKAN BACK PROPAGATION NEURAL NETWORK Mohammad Imron Dwi Prasetyo; Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono
JURNAL INTEGRASI Vol 12 No 2 (2020): Jurnal Integrasi - Oktober 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v12i2.2163

Abstract

The battery is an important component in the context of implementing renewable energy. The type of battery that has a density in energy storage is lithium polymer. The parameter in the battery that must be considered is the State of Charge (SOC) estimation. In general, the SOC battery estimation uses the coloumb counting method because the difficulty level is low. However, there are weaknesses in the dependence on the utility of the current sensor which is used as an accumulation of the integral of the incoming and outgoing currents over time. In this study presents Back Propagation Neural Network (BPNN) as an algorithm for estimating SOC based on OCV-SOC characteristic curves. The OCV-SOC characteristic curve of the battery is obtained from the battery pulse test. Battery voltage, current and discharging time are used as the first BPNN input layer for the estimation of Open Circuit Voltage (OCV). OCV will be learned as the second BPNN input layer for estimating battery SOC. The results of SOC estimation simulations obtained an average error of 0.479% against the real SOC based on the characteristic curve of OCV - SOC.
Co-Authors - Sutedjo Abdul Rizal Abdul Rizal, Abdul ACHMAD AFANDI Agus Indra Gunawan Ahmad Firyal Adila Akhmad Puryanto Aldi Erzanuari Aldi Erzanuari, Aldi Alvin Noer Ramadhan Alwi Daffa` Rosydi Anang Tjahjono, Anang Ardhia Wishnuprakasa Arief Rahmadani Ashary, Wima Audya Elisa Rheinanda Bambang Sumantri Bambang Sumantri Bambang Sumantri Bima Dwi Priya Setiawan Diah Septi Yanaratri Dicky Satria Nanda Lestyanto Dimas Nur Prakoso Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Fahmi Ahyar Izzaqi Faizulddin Ebrahimi Ferdiansyah, Indra Firmansyah Nur Budiman, Firmansyah Nur Fuad, Muchamad Chaninul Gede Patrianaya Margayasa Wirsuyana GIGIH HERNAIN NANDA ALDIANTAMA Habibi Mushthofa Husnu Zain Habibi, Muhammad Nizar HANIF HASYIER FAKHRUDDIN Hasnira Hasnira Hazlie Mokhlis Irianto Irianto Jati, Mentari Putri Kadek Reda Setiawan Suda Kuswadi, Son Loegimin, Maruto Swatara Lucky Pradigta Setiya Raharja Lucky Pradigta Setiya Raharja Luluk Badriyah Mas Sulung Wisnu Jati Miftahul Arrijal Mochamad Ari Bagus Nugroho Mochamad Ari Bagus Nugroho MOCHAMAD ARI BAGUS NUGROHO Mochammad Ari Bagus Nugroho Moh Rifqi Faqih Moh. Faisal Amir Moh. Faisal Amir Moh. Zaenal Efendi Mohammad Imron Dwi Prasetyo Mohammad Imron Dwi Prasetyo Mohammad Zaenal Efendi Muchamad Chaninul Fuad Muhammad Abdul Haq Muhammad Farizky Alvianandy Muhammad Khanif Khafidli Muhammad Prihadi Eko Wahyudi Muhammad Wildan Alim Muhdalifah Muhtar Naafilah Widya Mulya NUGROHO, MOCHAMAD ARI BAGUS Ony Armanto Ony Asrarul Q. Puspita Ningrum Q., Ony Asrarul Qoriatul Fitriyah Qudsi, Ony Asrarul Rachma Prilian Eviningsih Ragil Wigas Wicaksana Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rizal Nurdiansyah Rizqy Abdurrahman Rizqy Abdurrahman S Aisyah Setiawardhana Suhariningsih Suhariningsih Suryono . Suryono Suryono Suryono Suryono sutedjo Sutedjo Syechu Dwitya Nugraha Wicaksana, Ragil Wigas Wima Ashary Wirsuyana, Gede Patrianaya Margayasa Wishnuprakasa, Ardhia Zainal Arief Zainal Arief