Chemometrics Analysis for the Groundwater Quality Assessment in UIN Walisongo Semarang

The purpose of this study was to analyze the quality of groundwater in terms of physical, chemical, and microbiological parameters at three campus locations of the Universitas Islam Negeri (UIN) Walisongo Semarang, Indonesia then the results were compared to the Regulation of the Ministry of Health of the Republic of Indonesia (Permenkes) Number 32 of 2017 regarding the water quality standards and environmental health. Principal Component Analysis (PCA) is one of chemometric modelling which can be used to analyze correlations among different physical, chemical and microbiological parameters to assess the groundwater quality at the water intake of dug wells as the main source of water in this study. The content of organic and inorganic materials are then associated with environmental factors, research activities and industrial pollution around campus. The implementation of PCA data in the water intake at dug wells offers new possibilities for improved quality assurance and control procedures for dug wells management and its strategy. Before Cluster Analysis (CA) and PCA methods are applied, the data was checked the normal distribution using the Saphiro-Wilk test. Furthermore, three different patterns of water quality based on groundwater characteristics and anthropogenic effects were found by CA and PCA methods.