Rainfall Forecasting in Bandung Regency using C4.5 Algorithm
JOKO AZHARI SUYATNO
Informasi Umum
Kode
18.04.627
Klasifikasi
C -
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Mining
Dilihat
145 kali
Informasi Lainnya
Abstraksi
Bandung regency is one of Indonesian city that majority of the people are farmers. Farmers need weather information to determine the planting season. Weather forecasting become an orientation in agriculture sector to determining the beginning of planting season, and also quality and quantity of their harvest. One of the factors that affecting the harvest is rainfall. In this research, we make a classification model using C4.5 algorithm for rainfall forecasting at Bandung regency. Then, the post-pruning method is used to optimize pruning on the model. We used a weather data from BMKG (Meteorological, Climatological, and Geophysical Agency) in 2005 to 2016 period. The result of average accuracy testing without pruning is 60% and using pruning is 93.33%.
- CNH4S3 - ANALISIS TIME SERIES
- IKG3N3 - DATA MINING
- CCH4B4 - TUGAS AKHIR
- CII4E4 - TUGAS AKHIR
- III4A4 - TUGAS AKHIR
Koleksi & Sirkulasi
Seluruh 1 koleksi sedang dipinjam
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Pengarang
| Nama | JOKO AZHARI SUYATNO |
| Jenis | Perorangan |
| Penyunting | Fhira Nhita |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, Ilmu Komputasi |
| Kota | Bandung |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
