KLASIFIKASI KUALITAS UDARA DKI JAKARTA BERDASARKAN INDEKS STANDAR PENCEMAR UDARA (ISPU) DENGAN METODE FUZZY NAÏVE BAYES

BUDIMAN, AHMAD and Dewi, Novi Rustiana and Cahyono, Endro Setyo (2023) KLASIFIKASI KUALITAS UDARA DKI JAKARTA BERDASARKAN INDEKS STANDAR PENCEMAR UDARA (ISPU) DENGAN METODE FUZZY NAÏVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Good air quality will bring good things as well as polluted air will also give things that are not good for living things. Air quality is affected by many things, including human activity itself which can cause unhealthy air quality. If this goes on continuously without proper handling it can have various adverse effects on humans. DKI Jakarta is one of the cities that has an alarming air condition that can even be classified as very dangerous. Therefore, research is needed regarding the classification of air quality in DKI Jakarta. The aim of this research is to classify the air quality of DKI Jakarta based on the Air Pollutant Standard Index (ISPU) using the fuzzy naïve Bayes method. The research data consists of 1860 data that has 3 air quality classes. Where the naïve Bayes fuzzy method is a combination of the fuzzy logic method and the naïve Bayes method. The results of this study indicate that the air quality classification for DKI Jakarta with fuzzy naïve Bayes has an accuracy of 92.32% with an average Precision value of 54.05%, Recall of 63.02% and Fscore of 57.56%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kualitas Udara Dki Jakarta ISPU Fuzzy Naïve Bayes
Subjects:	Q Science > QA Mathematics > QA1-43 General Q Science > QA Mathematics > QA1-939 Mathematics > QA1.T553 Mathematics--Periodicals. Computer science--Periodicals. Computer science. Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Ahmad Budiman
Date Deposited:	06 Jun 2023 02:03
Last Modified:	06 Jun 2023 02:03
URI:	http://repository.unsri.ac.id/id/eprint/107208

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