KORELASI PM10 TERHADAP PARAMETER CUACA MENGGUNAKAN MODEL REGRESI MELALUI PENDEKATAN DERET FOURIER

dc.contributor.authorAmatullah, Sakinah
dc.contributor.supervisorDefrianto, Defrianto
dc.date.accessioned2022-07-25T04:13:21Z
dc.date.available2022-07-25T04:13:21Z
dc.date.issued2022-01
dc.description.abstractAir pollution, especially PM10 in Pekanbaru City is a familiar thing. The large population over tim e causes an increase in pollution that can cause diseases in humans. Along with the development of technology, research on the relationship between PM10 and weather parameters using a Fourier series regression approach has been conducted. In this approach Matlab-based Fast Fourier Transform algorithm that converts signals in the time domain to frequency signal was utilized. This study aims to determine the PM10 cycle (frequency and period), pattern as a function of month. The relationship or correlation of PM10 to weather parameters was determined using Fourier series regression approach for the first 2 and 8 terms. The results show that the frequency of monthly PM10 cycles in Pekanbaru City from 2014 to 2019 using the FFT algorithm method, for the three selected frequencies, namely 0.0169, 0.0508 and 0.0847 cycles/month, correspond to the period of 59.00, 19,67 and 11.80 months/cycle, respectively. PM10 correlation with weather parameters such as rainfall, humidity and temperature is periodic, so this research can use Fourier series. The 8-term Fourier series regression is much better than that for 2-term Fourier series regression. The next research is more accurate in calculating the PM10 cycle and it’s correlation with weather parameters using more extensive data until the end of the last year.en_US
dc.description.sponsorshipFakultas MIPA, Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.issnElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10593
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectPM10en_US
dc.subjectsignalen_US
dc.subjectFast Fourier Transform (FFT)en_US
dc.titleKORELASI PM10 TERHADAP PARAMETER CUACA MENGGUNAKAN MODEL REGRESI MELALUI PENDEKATAN DERET FOURIERen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Sakinah Amatullah_compressed.pdf
Size:
414.63 KB
Format:
Unknown data format
Description:
artikel
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections