SAFUTRA, RIDHO DERRI and Affandi, Azhar Kholiq and Erni, Erni (2022) PREDIKSI CURAH HUJAN WILAYAH KOTA PALEMBANG MELALUI PENERAPAN MACHINE LEARNING DENGAN METODA DECISION TREE. Undergraduate thesis, Sriwijaya University.
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Abstract
Palembang City is one of those cities vulnerable to flood and erosion because it has high rainfall intensity in each year. One of possible method to anticipate this problem is using rainfall forecasting. This research is present a prediction of weather (Rainfall) based on the rain category with the result that rain and not rain in Palembang City on the period January 2011-December 2021 using data from website NASA POWER. The decision tree method used to be a algorithm CART (Classification And Regression Tree) with Confusion Matrix test parameters and “pohon keputusan” as visualization from training data. Based on the results of the model evaluation, it shows that the CART algorithm has a fairly good performance in classifying with an accuracy value of 81.74%, precision 83,25%, and recall 94,05%.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | CART (Classification And Regression Tree), decision tree, machine learning, Kota Palembang, prediksi curah hujan |
Subjects: | Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.B45 Big data. Machine learning. Quantitative research. Metaheuristics. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data. Q Science > QC Physics > QC994.95-999 Weather forecasting |
Divisions: | 08-Faculty of Mathematics and Natural Science > 45201-Physics (S1) |
Depositing User: | Ridho Derri Safutra |
Date Deposited: | 19 Dec 2022 02:18 |
Last Modified: | 19 Dec 2022 02:18 |
URI: | http://repository.unsri.ac.id/id/eprint/83925 |
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