Rainfall Prediction Using Random Forest and Decision Tree Algorithms

Authors

Institutions

Publication Details

Journal
Journal of Informatics and Communication Technology (JICT)
Published
2024-10-19
DOI
https://doi.org/10.52661/jict.v6i1.253
Citations
4
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rainfall Prediction Using Random Forest and Decision Tree Algorithms

Sevierda Raniprima, Nanang Cahyadi, Vivi Monita
4 citations
Journal of Informatics and Communication Technology (JICT)
Hydrological Forecasting Using AI
0.82
article

Rainfall Prediction Using Random Forest and Decision Tree Algorithms

Sevierda Raniprima, Nanang Cahyadi, Vivi Monita
article en
4 citations

Abstract

No abstract available for this paper.
Journal of Informatics and Communication Technology (JICT)Vol. 6(1)
Telkom University (ID)
Climate action
Openalex Percentile: Top 30%
Hydrological Forecasting Using AI
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rainfall Prediction Using Random Forest and Decision Tree Algorithms — Sevierda Raniprima, Nanang Cahyadi, et al. · Journal of Informatics and Communication Technology (JICT) (2024) | TGRS Research Map | TGRS