IMPLEMENTASI MACHINE LEARNING UNTUK PREDIKSI CURAH HUJAN DI KABUPATEN OGAN ILIR DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR DAN ARTIFICIAL NEURAL NETWORK

FADLA, RIKO and Affandi, Azhar Kholiq and Erni, Erni (2022) IMPLEMENTASI MACHINE LEARNING UNTUK PREDIKSI CURAH HUJAN DI KABUPATEN OGAN ILIR DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR DAN ARTIFICIAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Curah hujan Kabupaten Ogan Ilir berada pada tingkat yang terlalu rendah yaitu 50-200 mm/bulan. Bahkan curah hujan tersebut sering mengalami ketidakstabilan, seperti tidak terjadinya hujan pada saat musim hujan. Hal ini menyebabkan diperlukan suatu prediksi curah hujan, supaya dapat mengatasi peristiwa merugikan dari bahaya curah hujan. Prediksi curah hujan pada penelitian ini yaitu mengombinasikan 2 algoritma dan menghasilkan sebuah metode yang lebih akurat dalam memprediksi curah hujan. KNN dengan kemampuan untuk menentukan klasifikasi dan ANN yang mampu menganalisa dan mempelajari suatu pola data masa lalu, dapat dikombinasikan menjadi suatu metode yang menarik dan bermanfaat. Prediksi data ini menggunakan data akurat dari NASA POWER dengan parameter kecepatann angin, temperatur maksimum, temperatur minimum, kelembaban, curah hujan, dan tekanan udara sehingga penelitian ini menghasilkan sebuah terobosan baru dalam prediksi curah hujan

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Artificial Neural Network, K-Nearest Neighbor, Prediksi Curah Hujan.
Subjects: Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science.
Q Science > QC Physics > QC980-999 Climatology and weather
Q Science > QC Physics > QC994.95-999 Weather forecasting
Divisions: 08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User: Riko Fadla
Date Deposited: 19 Dec 2022 06:54
Last Modified: 19 Dec 2022 06:54
URI: http://repository.unsri.ac.id/id/eprint/84068

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