PENGKLASIFIKASIAN KUALITAS UDARA DKI JAKARTA DENGAN METODE FUZZY RANDOM FOREST

SAFITRI, ANISA and Resti, Yulia and Dewi, Novi Rustiana (2023) PENGKLASIFIKASIAN KUALITAS UDARA DKI JAKARTA DENGAN METODE FUZZY RANDOM FOREST. Undergraduate thesis, Sriwijaya University.

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Abstract

A healthy environment is a fundamental need for living things. One of the environmental factors that affect health is air quality. Good air quality will have a good impact on health and vice versa. DKI Jakarta as a big city that has industry and a large populations cauces DKI Jakarta air quality to increase. Therefore, it is necessary to analyze the classification of air quality data in DKI Jakarta. This study aims to classify DKI Jakarta air quality with fuzzy random forest method. The data used is DKI Jakarta air quality success data from 2017 to 2021 as many as 1825 data. The results showed that the influential predictor variable was the variable x_4 because it had the highest information gain value and became the root node of the decesion tree and resulted in DKI Jakarta air quality calcification with the fuzzy random forest method, obtained an accuracy value of 91.41%, a recall value of 66.97%, a precesion value of 90%, and a fscore value of 70.58%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kualitas Udara, Klasifikasi
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics > QA279.C663 Response surfaces (Statistics) Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics > QA279.M66 Experimental design
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Anisa Safitri
Date Deposited:	26 Sep 2023 07:09
Last Modified:	26 Sep 2023 07:09
URI:	http://repository.unsri.ac.id/id/eprint/128396

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