Application of Support Vector Machine with Kriging Interpolation for Rainfall Prediction in Java Island - Dalam bentuk buku karya ilmiah
BRIAN DIMAS PURWANTO

Informasi Umum

Kode

24.04.5795

Klasifikasi

000 - General Works

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Data Science

Dilihat

175 kali

Informasi Lainnya

Abstraksi

Rainfall is one of the crucial meteorological elements that can significantly impact human life. Accurate rainfall prediction is essential for effective natural resource planning and management across various regions, especially in Java Island, which is one of the most densely populated areas in Indonesia. However, predicting rainfall distribution in this region is challenging due to its complex climate patterns. This study aims to address this challenge by developing a rainfall distribution prediction model for Java Island using Support Vector Machine (SVM). The model incorporates time-based feature expansion to enhance the predictive capability of the SVM. Additionally, the method is combined with Kriging interpolation to accurately classify the spatial distribution of rainfall across Java Island. The model was trained and tested using monthly data from 27 meteorological stations, covering the period from January 1, 2020, to March 31, 2022. The results demonstrate that the model's performance exceeds 90%, indicating its effectiveness in predicting future rainfall distribution classifications. The contribution of this research lies in providing insights into feature expansion techniques in machine learning, refining predictive models applied in meteorology and environmental management, and addressing the complexity of rainfall prediction in densely populated regions.<br />  <br /> <strong>Keywords</strong>: Support Vector Machine; time-based feature expansions; rainfall; classification prediction; interpolation krigging;<br />  

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Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	BRIAN DIMAS PURWANTO
Jenis	Perorangan
Penyunting	Sri Suryani Prasetyowati, Yuliant Sibaroni
Penerjemah

Penerbit

Nama	Universitas Telkom, S1 Informatika
Kota	Bandung
Tahun	2024

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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