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Journal : Journal of Community Based Environmental Engineering and Management

Analyzing Spatial Groundwater Salinity Using Multivariate Analysis and Multiple Linear Regression Models Kristin Ina Binna; Ramadhani Yanidar; Sheilla Megagupita Putri Marendra; Herika Muhammad Taki; Ariani Dwi Astuti
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.
The Study of Septic Tank Proximity on Coliform, E. Coli, and Organic Contamination in Shallow Groundwater: a Case Study of DKI Jakarta Syifa Nadiyah Khairunnisa , Salsabila; Yanidar, Ramadhani; Megagupita Putri Marendra , Sheilla; Dwi Astuti, Ariani; Muhamad Taki, Herika
Journal of Community Based Environmental Engineering and Management Vol. 9 No. 1 (2025): March 2025
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v9i1.21644

Abstract

Groundwater in DKI Jakarta is subject to microbiological contamination. Approximately 32% of the population in DKI Jakarta relies on groundwater as an alternative source of clean water, highlighting the urgent need to address and prevent contamination. This study aims to investigate the effect of the separation distance between septic tanks and wells on the levels of Total coliform (TC), Escherichia coli (EC), and organic parameter contamination in shallow groundwater. Groundwater quality data, including TC, EC, and organic parameters from 265 monitoring points in DKI Jakarta, was obtained from the Jakarta Environment Agency in 2022. A quantitative descriptive approach, incorporating spatial mapping of bacterial and organic contamination using Geographic Information System (GIS) tools, was employed. MANOVA analysis using SPSS 26 was conducted to determine the relationship between septic tank distances and shallow water contamination levels. Results indicate that the separation distance between septic tanks and wells significantly influences TC and EC contamination in Jakarta Pusat, Jakarta Timur, and Jakarta Barat. Organic contamination, however, is significantly affected only in Jakarta Pusat and Jakarta Timur. In contrast, Jakarta Utara was identified as the most contaminated region, with 84% of groundwater samples showing TC contamination, 55% exhibiting Escherichia coli (EC) contamination, and 69% affected by organic pollution. However, these contaminations were not proven to be influenced by the proximity of septic tanks. This is likely due to the area's coastal location, where hydrogeological conditions and diverse pollution sources play a more significant role in groundwater contamination. Improvements in sanitation infrastructure could significantly enhance groundwater quality, particularly in highly vulnerable areas such as Jakarta Utara.