Classification of water quality in Pontianak city using multivariate statistical techniques

Kusnandar, Dadan; Debataraja, Naomi Nessyana; Dewi, Puteri Ratna

doi:10.12988/ams.2019.99130

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2021

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“…Beberapa pemodelan kualitas air di Kota Pontianak sudah dilakukan oleh Fikri, Debataraja, Kusnandar (2019) dan Kusnandar, Debataraja, Dewi (2019…”

Section: Pendahuluanunclassified

Pemodelan Sebaran Total Dissolved Solid Menggunakan Metode Mixed Geographically Weighted Regression

Kusnandar

Debataraja

Fitriani

2021

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Mixed geographically weighted regression (Mixed GWR) is a technique to explore spatial non-stationarity by considering local and global influences simultaneously. In this study, the Mixed GWR model was used to determine the Total Dissolved Solid (TDS) distribution model on water quality in Pontianak’s. Independent variables used are Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD), pH, water hardness and color. The results showed that the Mixed GWR model with Fixed Bisquare Kernel weighting was better than the global regression model and GWR because it had the smallest AIC value of 326.48 and MAPE value of 22.34%. Variables that affect globally are hardness and color, while variables that affect locally are COD, BOD and pH.

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“…Beberapa pemodelan kualitas air di Kota Pontianak sudah dilakukan oleh Fikri, Debataraja, Kusnandar (2019) dan Kusnandar, Debataraja, Dewi (2019…”

Section: Pendahuluanunclassified

Pemodelan Sebaran Total Dissolved Solid Menggunakan Metode Mixed Geographically Weighted Regression

Kusnandar

Debataraja

Fitriani

2021

asks

View full text Add to dashboard Cite

show abstract

Classification of water quality in Pontianak city using multivariate statistical techniques

Cited by 1 publication

References 2 publications

Pemodelan Sebaran Total Dissolved Solid Menggunakan Metode Mixed Geographically Weighted Regression

Pemodelan Sebaran Total Dissolved Solid Menggunakan Metode Mixed Geographically Weighted Regression

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