Pengembangan Teknologi Smart Powerplant Untuk Mendukung Sistem Irigasi Lahan Kering menggunakan Metode Learning Vector Quantization

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Abdul Haris
https://orcid.org/0000-0001-7214-5047
Rosida Nur Aziza

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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How to Cite
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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