Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Community Based Environmental Engineering and Management
Binna, Kristin Ina
Unknown Affiliation
Engineering Environmental Science Public Health Other

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

Found 1 Documents
Search

 1 
Analyzing Spatial Groundwater Salinity Using Multivariate Analysis and Multiple Linear Regression Models Binna, Kristin Ina; Yanidar, Ramadhani; Marendra, Sheilla Megagupita Putri; Taki, Herika Muhammad; Astuti, Ariani Dwi
Journal of Community Based Environmental Engineering and Management Vol. 8 No. 1 (2024): March 2024
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v8i1.12708

Abstract

The increase in the amount of groundwater withdrawal will inevitably pose a threat of seawater intrusion. The purpose of this research was to identify the distribution of shallow groundwater salinity in North Jakarta, West Jakarta and Central Jakarta and to develop a regional model of shallow groundwater salinity distribution. The data used in this study was that of the groundwater quality monitoring, obtained from the Regional Environment Status Book (SLHD), published by The Environment office of Greater Jakarta released in 2022, involving a total of 121 sample points in North Jakarta, West Jakarta, and Central Jakarta. The primary data was taken at 6 (six) sampling locations for model validation purposes. The study began with data grouping, using the Hierarchical Cluster Analysis (HCA) method. The results of identifying the highest distribution of salinity are in cluster 3 (three). A model was subsequently developed, after removing the outliers, with multiple linear analysis methods using the variable the distance from the coastline (X1), well depth (X2) and hardness (X3), to determine the influence of EC, TDS and salinity distribution in shallow groundwater. The results obtained are as follows; EC Models: YEC3 = -1.879+ (1.19.X1) + (5.08.X3). TDS models: YTDS3 = -2.211.30 + (0.81.X1) + (101.41.X2) + (4.07.X3). Salinity models: Ysalinity3 = -0.07+ (6.75×10-5.X1) + (2.4×10-4.X3). Model verification results for R2EC3 = 0.70; R2TDS3 = 0.92; R2salinity3 = 0.88. Validation results produce 21.14% for EC, 8.21% for TDS, and 22.87% for Salinity. This needs further research by increasing the number of primary samples.
Co-Authors Ariani Dwi Astuti Marendra, Sheilla Megagupita Putri Ramadhani Yanidar Taki, Herika Muhammad