Pengembangan Teknologi Smart Powerplant Untuk Mendukung Sistem Irigasi Lahan Kering menggunakan Metode Learning Vector Quantization
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Published:
Nov 6, 2020
Keywords:
pembangkit listrik tenaga surya cerdas Irigasi Learning Vector Quantization
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Abstract
Penelitian ini akan merancang model pembangkit listrik tenaga surya cerdas yang akan dimanfaatkan untuk kebutuhan irigasi di sawah lahan kering. Sawah lahan kering adalah sawah yang mengandalkan air hujan untuk memenuhi kebutuhan pengairannya. Untuk memenuhi kebutuhan akan air sepanjang tahun, maka diperlukan pembangunan sistem irigasi dengan bantuan pompa listrik yang dari tenaga surya. Panel surya pada pembangkit yang dirancang dilengkapi dengan sensor untuk mendeteksi arah cahaya dan memiliki kemampuan untuk bergerak mengikuti arah datangnya cahaya matahari, supaya dapat menyerap energi lebih optimal. Metode yang akan digunakan pada pembangkit adalah metode Learning Vector Quantization (LVQ). Pembangkit listrik cerdas ini juga mampu melakukan pemantauan secara real time kondisi pembangkit baik arus yang masuk ke baterai, maupun arus yang keluar dari baterai sehingga meringankan dari sisi pemantauan dan pengawasan. Diharapkan teknologi ini dapat menjadi alternatif bagi masyarakat yang membutuhkan sistem pertanian yang mandiri dan lebih maju.
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Haris, A., & Nur Aziza, R. (2020). Pengembangan Teknologi Smart Powerplant Untuk Mendukung Sistem Irigasi Lahan Kering menggunakan Metode Learning Vector Quantization. KILAT, 9(2), 192–200. https://doi.org/10.33322/kilat.v9i2.1126
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References
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[23] A. Haris, H. Sikumbang and M. J. Elly, "Sistem Kendali dan Monitoring dengan Syaraf TiruanpadaPembangkit Listrik Tenaga Surya," Petir, vol. 13, no. 2, pp. 119 - 127, 2020.
and economic statistics of Indonesia, Jakarta: Ministry of Energy and Mineral
Resources Republic of Indonesia, 2018.
https://www.esdm.go.id/assets/media/content/content-handbook-of-energy-and-economic-statistics-of-indonesia-2018-final-edition.pdf
[2] M.H.Hasan, W.K.Muzammil, T.M.I.Mahlia, A.Jannifar, I.Hasanuddin, “A review on the pattern of electricity generation and emission in Indonesia from 1987 to 2009,”Renewable and Sustainable Energi Reviews, vol.16, pp. 3206-3219, 2012.
[3] G.Pikra , A. Salim, B. Prawara, A.J. Purwanto, T. Admono, T., & Z. Eddy, “ Development of Small Scale Concentrated Solar Power Plant Using Organic Rankine Cycle
for Isolated Region in Indonesia,” Energy Procedia, vol., pp. 122–128, 2013.
https://doi.org/10.1016/j.egypro.2013.05.016 .
[4] H.S.Tira, A.Natsir, M.R.Iqbal, “Pengaruh Sudut Surya terhadap Daya Keluaran Sel Surya 10 WP Tipe Polycristalline,” Jurnal Teknik Mesin, vol. 07, no.2, pp. 69-74, 2018.
[5] A.H. Eldin, M.Refaey, A. Farghly, “ A Review of Photovoltaic Solar Energy Technology and its Efficiency,” presented in International Middle-East Power System Conference (MEPCON’15), Egypt, 2015.
[6] J.N. Juang, R.Radharamanan, “Design of a Solar Tracking System for Renewable Energy,” presented in Zone 1 Conference of the American Society for Engineering Education, Bridgeport CT USA, 2014.
[7] Z.Zhu, Y.Xu, G.Shao, “An Automatic Sun Tracking System for Solar Energy Based Optical Fibre Lcghting,” presented in IEEE 4th Asia-Pacific Conference on Antennas and Propagation (APCAP), Kuta, pp. 69-71, 2015.
[8] F.I.Mustafa, S.Shakir, F.F.Mustafa, A.T.Naiyf, “Simple Design and Implementation of Solar Tracking System Two Axis with Four Sensors for Baghdad City,” presented in the 9th International Renewable Energy Congress, Hammamet, Tunisia, 2018.
[9] R.Arshad, S.Tariq, M.U.Niaz, M.Jamil, “Improvement in Solar Panel Efficiency Using Solar Concentration by Simple Mirrors and by Cooling,” presented in International Conference on Robotics and Emerhing Allied Technologies in Engineering (iCREATE), Islamabad, pp. 292-295, 2014.
[10] Y.Gao, J.ji, Z.Guo, P.Su, “Comparison of the Solar PV Cooling System and Other Cooling Systems, International Journal of Low-Carbon Technologies, vol.13, no.04, pp.353-363, 2018. [Online]. Available: https://academic.oup.com/ijlct/article/13/4/353/5089723
[11] S.A.Rakin, S.Suherman, S.Hasan, A.H.Rambe, Gunawan, “A Passive Cooling System for Increasing Efficiency of Solar Panel Output,” Journal of Physics: Conference Series, pp.1-6, 2019. [Online].
Available: https://iopscience.iop.org/article/10.1088/1742-6596/1373/1/012017/pdf
[12] Y.Kabalci, E.Kabalci, R.Canbaz, A. Calpbinici, “Design and Implementation of A Solar Plant and Irrigation System with Remote Monitoring and Remote Control Infrastructure,” Solar Energy, vol. 139, pp. 506-517, 2016.
[13] A. Haris, "Sistem Pencatat KWh Meter Terintegrasi Komputer Untuk Meningkatkan Layanan Pada Pelanggan," KILAT, vol. 6, no. 1, pp. 22 -27, 2017.
[14] R.S.Sawant, S.Gubre, S.Pillai, M.Jain, “Solar Panel Based Automatic Plant Irrigation System,” International Journal of Innovative Science, Engineering, and Technology, vol. 2, no.3, pp. 698-701, 2015.
[15] W.Winasis, A.W.W. Nugraha & I. Rosyadi, “Desain Sistem Monitoring Nirkabel
Berbasis Website untuk Pemantauan Baterai dan Beban Pembangkit Listrik Hibrida Surya-Angin,” Jurnal teknik elektro-ITP, vol.5, no.2, 2016.
[16] Handoko, “Sistem Monitoring Pembangkit Listrik Tenaga Surya Berbasis
Mikrokontroler ATMEGA16 dan TeamViewer Melalui Media Internet,” Jurnal Teknik dan Ilmu Komputer, vol.6, no.21, pp. 9-16, 2016.
[17] M.S.Hussain, D.M.Abdullah, W.M.Abdullah, M.L.Ali, “Development of A Fuzzy Logic Based Smart Solar System for Irrigation,” presented in International Conference on Mechanical Engineering (ICME), Dhaka, pp. 1-4, 2011.
[18] A. Haris and E. Hendrian, "Sistem Monitoring dan Klaster Ketersediaan Energi Menggunakan Metode K-Means pada Pembangkit Listrik Tenaga Surya," CESS (Journal of Computer Engineering, System and Science), pp. 266 - 271, 2019.
[19] A.Dharma, N.K.Mataram, I.N.G.Antara, “Learning Vector Quantization Neural Network (LVQNN): Can It be Implemented on the Forecasting Electrical Loads?,” IOP Conference Series: Earth and Environmental Science, vol.248, pp.1-8, 2019. [online]. Available : https://iopscience.iop.org/article/10.1088/1755-1315/248/1/012027/pdf
[20] N.Hidayati dan B.Warsito, “Prediksi Terjangkitnya Penyakit Jantung dengan Metode Learning Vector Quantization,” Media StatistikaI, vol.3, no.1, pp. 21-28, 2010. [Online]. Available : https://www.researchgate.net/publication/279474323_PREDIKSI_ TERJANGKITNYA_PENYAKIT_JANTUNG_DENGAN_METODE_LEARNING_VECTOR_QUANTIZATION
[21] __,”Learning Vector Quantization.” tutorialspoint.com. https://www.tutorialspoint.com/ artificial_neural_network/artificial_neural_network_learning_vector_quantization.htm (diakses pada tanggal 1 Juli 2020)
[22] Haris, A. (2017). Sistem Otomasi Dan Monitoring Penggunaan Daya Listrik Tenaga Surya Untuk Manajemen Energi.
[23] A. Haris, H. Sikumbang and M. J. Elly, "Sistem Kendali dan Monitoring dengan Syaraf TiruanpadaPembangkit Listrik Tenaga Surya," Petir, vol. 13, no. 2, pp. 119 - 127, 2020.