Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Mathematics, Computation and Statistics (JMATHCOS)
Muhammad Farhan
Prodi S2 Matematika Program Pascasarjana UNM
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pemodelan Pencemaran Udara sebagai Solusi Penurunan Kualitas Udara Menggunakan Generalized Space-Time Autoregressive di Kota Makassar Muhammad Farhan; wahidah sanusi; Hisyam Ihsan
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4304

Abstract

This study discusses the application of the Generalized Space-Time Autoregressive (GSTAR) model to analyze air pollution in Makassar City, focusing on NO2 and SO2 pollutants from 2017 to 2023. Data were collected from four different sampling locations: transportation, industry, residential, and office areas. This study uses inverse distance weighting and cross-correlation normalization to develop the forecasting model. The analysis results show that the GSTAR (1;0;2) model for NO2 pollutants and GSTAR (1;0;1) for SO2 pollutants are the best models, with residuals meeting the assumptions of white noise and normal distribution. Therefore, this model can be used to predict future air pollution levels.
Co-Authors Hisyam Ihsan Wahidah Sanusi