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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT EMITTER International Journal of Engineering Technology Prosiding SNAST Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Erik Tridianto
Politeknik Elektronika Negeri Surabaya
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation

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PEMASANGAN SMART SOLAR WATER PUMP SEBAGAI ALAT IRIGASI SAWAH DI DESA GAYAM KABUPATEN BOJONEGORO Joke Pratilastiarso; Lohdy Diana; Erik Tridianto; Arrad Ghani Safitra
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 27, No 1 (2021): JANUARI-MARET
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v27i1.20801

Abstract

Proses irigasi merupakan faktor penting untuk menghasilkan produk pertanian yang berkualitas. Namun, mitra yang merupakan petani mengalami permasalahan irigasi antara lain biaya operasional dan bahan bakar dimana mitra masih menggunakan pompa diesel, serta ketidakamanan peralatan terhadap pencurian. Oleh karena itu, tujuan dari kegiatan ini yaitu membantu mitra dalam hal irigasi lahan pertanian dengan membuat pompa air tenaga surya yang disebut dengan Smart Solar Water Pump yang dilengkapi dengan sistem kontrol ketinggian air dan sistem keamanan. Metode yang digunakan dalam kegiatan ini diawali dengan diskusi dan pancangan sistem Smart Solar Water Pump, perizinan dengan mitra, diskusi dan sosialisasi dengan mitra, pemasangan alat dan instalasi sistem keamanan dan kontrol ketinggian air, pengujian awal, pendampingan, evaluasi, dan monitoring. Hasil kegiatan ini antara lain penerapan energi terbarukan yaitu Smart Solar Water Pump telah dapat dilaksanakan sebagai alat irigasi pada lahan pertanian mitra, mitra telah mampu mengoperasikan Smart Solar Water Pump secara mandiri, setelah dilakukan monitoring diperoleh hasil sistem pada Smart Solar Water Pump masih beroperasi secara baik, sistem keamanan berupa Short Message Service (SMS) juga berjalan efektif. Kata kunci: Irigasi, Pertanian, Smart Solar Water Pump, Sistem Kontro Ketinggian Air, Sistem Keamanan.
Power Generation Forecasting of Dual-Axis Solar Tracked PV System Based on Averaging and Simple Weighting Ensemble Neural Networks Budiman Putra Asma'ur Rohman; Catur Hilman; Erik Tridianto; Teguh Hady Ariwibowo
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (12.589 KB) | DOI: 10.24003/emitter.v6i2.341

Abstract

Solar power is a renewable energy interest many researchers around the world to be explored for human life beneficial especially for electric power generation. Photovoltaic (PV) is one of technology developed massively to exploit the solar power for this purpose. However, its performance is very sensitive to environmental condition such as solar irradiance, weather, and climatic behavior. Thus, the hybrid power generation systems are developed to solve this output uncertainty problem. To support this such hybrid system, this paper proposes an ensemble neural network based forecaster of the power output of PV systems which will lead an efficient power management. The object of this research is the PV systems equipped with two axes automated solar tracking with peak power 10Wp. The proposed ensemble forecaster model employs four multi-layer perceptron neural networks with two hidden layers as base forecasters while the input number of historical data is varied in order to exploit the forecaster diversity. The final prediction is calculated both by conventional averaging and simple weighting optimized by the least square fitting technique. According to the research results, the both proposed approaches provide low error rate. Moreover, in term of comparison, the ensemble model with averaging combining technique gives the highest accuracy comparing to the other ensemble and conventional neural network structures.
PENGEMBANGAN SOLAR PHOTOVOLTAIC SYSTEM DENGAN MPPT UNTUK TEKNOLOGI IOT- SEMAR Putra Asmara Danu; Erik Tridianto; Sritrusta Sukaridhoto
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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

Abstract

Photovoltaic system is one of renewable energy applied to industrial equipments and public facilities. The case study in this study was demonstrated by the design of photovoltaic systems on the Internet of Things (IoT) technology of Smart Environment Monitoring and Real Time System Analytics (SEMAR). IoT - SEMAR is designed on a ship prototype consisting of motor drives, servo motors, and raspberry pi. Photovoltaic system design process is done by considering location, electric energy consumption per day, and solar radiation with the aim of obtaining efficient design. From the calculation obtained solar photovoltaic capacity of 50 Wp / 18 V, with a storage battery of 17 Ah / 12 V. The results obtained by considering the accumulation of power consumption per day multiplied by a correction factor of 1.3. Based on the measurement, the driving force requires energy of 51 Wh, a servo motor of 1.5 Wh, and raspberry pi of 52 Wh so that the energy requirement per day is obtained by 105 Wh. For more effective electrical energy absorption, solar charge is used with Maximum Power Point Tracking (MPPT) with 5 A capacity. The test result through direct hardware application shows that the design with the addition of MPPT solar charge can produce 140 Wh / day, which is enough to operate IoT - SEMAR non-stop. This procedure is compatible for designing off-grid photovoltaic applications, particularly those located in remote locations.
Sistem Cascade Generator untuk Meningkatkan Daya Listrik pada Pembangkit Listrik Tenaga Angin Praptadi Saiputra; Erik Tridianto
Retii Prosiding Seminar Nasional ReTII ke-11 2016
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Banyak masalah yang dialami dalam pengembangan pemanfaatan energi angin menjadi energi listrik. Salah satunya adalah torsi awal yang diperlukan untuk menggerakkan blade pada turbin angin. Berdasarkan penelitian yang telah dilakukan, ada beberapa cara untuk mengatasi masalah ini. Hal ini dapat diselesaikan dengan memanipulasi secara mekanik memanipulasi secara listrik. Dalam penelitian ini, eksitasi untuk pengaturan alternator dilakukan dengan menggunakan generator dc (direct current generator) sebagai sumber eksitasi alternator. Kata Kunci: turbin angin, cascaded generator, torsi awal, sistem eksitasi
Co-Authors Arrad Ghani Safitra Budiman Putra Asmaur Rohman Catur Hilman Joke Pratilastiarso Lohdy Diana Praptadi Saiputra Putra Asmara Danu Sritrusta Sukaridhoto Teguh Hady Ariwibowo