#TITLE_ALTERNATIVE#

• Main Author: UTAMI PUTRI (NIM : 15312029), ERYANTI
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26985
• Institution: Institut Teknologi Bandung

Daraulin Village located in Nanjung Village, Margaasih Subdistrict, Bandung Regency is a residential area surrounded by an oxbow lake of Old Citarum watershed along 2,890 m apart from the Upstream of Citarum due to the normalization program. Disconnected water bodies, and disposal of unproperly treated domestic wastewater effluent to the oxbow lake of Old Citarum, increased <br /> <br /> the water pollution. Daraulin Village consists of 2 RW, namely RW 06 and RW 07, each RW consist of 6 RT) with total population of 3382 people (1017 families), as <br /> <br /> many as 78% of the population used groundwater from dug wells as raw water to be treated, while 22% of the population used refilled drinking water for drinking <br /> <br /> water.In this study, 133 samples of raw water and drinking water quality were analyzed by microbiological parameters (Total Coliform and Fecal Coliform) listed on Government Regulation No.82 of 2001 and Regulation of the Minister of <br /> <br /> Health 492 / Menkes / PER / IV / 2010 by Most Probable Number (MPN) methods according to the Standard methods For The Examination of Water and Wastewater. 74% of groundwater samples, and 100% samples of raw water to be treated as refilled drinking water do not qualify for drinking water, and 72% of processed water from groundwater and 78,6% refilled gallon water at the consumer level do not qualify for drinking water. Furthermore, risk assessment used to know the comparison of hazard index between refilled drinking water and groundwater, known that the biggest risk of raw water is groundwater take from dig well, but in the consumer level, refilled drinking water have the biggest risk, then non <br /> <br /> parametric correlation test by Spearman Rank method performed to know the correlation between probability of illness and diarrhea, and known that probability of illness have strong correlation with diarrhea (&#593; = 0,613)