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Journal : BAREKENG: Jurnal Ilmu Matematika dan Terapan

QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 Wahidah Sanusi; Sukarna Sukarna; Nur Harisahani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.168 KB) | DOI: 10.30598/barekengvol17iss1pp0001-0008

Abstract

Makassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and to determine the factors that significantly influence rainfall in the city of Makassar. This applied research applies a quantile regression model to rainfall data which is seasonal data. The advantage of this quantile regression model is that it is able to detect extreme conditions of rainfall, such as heavy rain. The data used is daily data in 2019. The estimation results obtained 9 (nine) models from each quantile used. The best model is obtained based on the largest coefficient of determination ( ), namely the 0,8th quantile ( ) of 0.28%. Furthermore, based on the model, it is found that the factor that significantly influences rainfall in the city of Makassar is humidity. At the same time, the air temperature and wind speed have no significant effect on rainfall in the city of Makassar.
ANALISIS SPASIAL SEBARAN PENYAKIT MENULAR KOTA MAKASSAR TAHUN 2018 Sukarna Sukarna; Awi Awi; Sutamrin Sutamrin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.269 KB) | DOI: 10.30598/barekengvol14iss1pp113-122

Abstract

Population density correlates spatially with various aspects of community life, such as the number of people with infectious and non-infectious diseases, seasonal (endemic) or non-seasonal (epidemic), mild or severe, and regular or rare. This research focuses on 8 infectious diseases, namely measles, diphtheria, diarrhea, typhoid, malaria, helminthiasis, TB, and DHF. Data on infectious diseases in 2018 were obtained from the Makassar City Health Service Office, which was sourced from 46 puskesmas throughout Makassar City. The results of this study are (1) The limited data, thus, this study focuses on only 8 diseases; (2) Based on the results of the analysis of univariate cluster Moran index, there are (a) the two highest warnings of disease distribution attributed to the districts, namely diarrhea (in Sangkarrang, Ujungtanah, and Mariso) and helminthiasis (in Singkarang); (b) patterns of spread of infectious diseases (this article shows only one thematic map of disease) and spread from nothing significant to very significant; (c) the spread of infectious diseases appears uneven in each district and tends to occur in certain districts, such as (i) Measles have 3 districts (Biringkanaya, Tamalanrea, and Bontoala), (ii) Diphtheria there are 2 districts (Tamalanrea and Biringkanaya), ( iii) Diarrhea only in Panakkukang District, (iv) Malaria only in Ujungtanah, (v) Worms in 4 districts (Manggala, Rappocini, Makassar, and Ujungpandang), (vi) DHF only in Panakkukang District, (vii) Typhoid and TB are not significant.