Distribution of Clean Water Quality Levels in SPAMDes Ngudi Tirto Kulon Progo

BIO Web of Conferences, Jan 2024

Clean water must be met in terms of quality, quantity and continuity. Clean water quality that has not been met according to quality standards will harm people’s health. Rural communities often face the problem of unmet quality of clean water. The Ngudi Tirto Rural Drinking Water Supply System serves the clean water needs of the Kebonromo hamlet community. Water sampling is needed to determine its quality level. Sampling was carried out at several points to determine the distribution of quality levels. The quality levels taken are pH, Fe, KMnO4 and DO. The distribution of water quality levels was analysed using ArcGIS software with the IDW method. Clean water quality standards are based on Minister of Health Regulation no. 32 of 2017. Based on the results of water quality levels, it shows that the pH value is between 6.9 and 7.8. Fe quality levels obtained values between 0.1 mg/l and 0.3 mg/l. The quality level of KMnO4 obtained values between 6.162 mg/l and 15.01 mg/l. And the DO quality level obtained a value between 1.15 mg/l and 2.7 mg/l. The distribution of clean water quality levels along the distribution network is as follows, for pH levels of 100% which meet quality standards, Fe levels of 100% which meet quality standards, KMnO4 levels of 87.5% which meet quality standards and DO levels which do not meet quality standards.

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Distribution of Clean Water Quality Levels in SPAMDes Ngudi Tirto Kulon Progo

BIO Web of Conferences 137, 03016 (2024) ICBCD 2024 https://doi.org/10.1051/bioconf/202413703016 Distribution of Clean Water Quality Levels in SPAMDes Ngudi Tirto Kulon Progo Burhan Barid1*, Aldila Rahmi Zoana1, Ani Hairani1, Puji Harsanto1, Surya Budi Lesmana1 and Siti Muawanah Robial6 1 Department of Civil Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia 2 Department of Civil Engineering, Universitas Muhammadiyah Sukabumi, Jawa Barat, Indonesia Abstract. Clean water must be met in terms of quality, quantity and continuity. Clean water quality that has not been met according to quality standards will harm people's health. Rural communities often face the problem of unmet quality of clean water. The Ngudi Tirto Rural Drinking Water Supply System serves the clean water needs of the Kebonromo hamlet community. Water sampling is needed to determine its quality level. Sampling was carried out at several points to determine the distribution of quality levels. The quality levels taken are pH, Fe, KMnO4 and DO. The distribution of water quality levels was analysed using ArcGIS software with the IDW method. Clean water quality standards are based on Minister of Health Regulation no. 32 of 2017. Based on the results of water quality levels, it shows that the pH value is between 6.9 and 7.8. Fe quality levels obtained values between 0.1 mg/l and 0.3 mg/l. The quality level of KMnO4 obtained values between 6.162 mg/l and 15.01 mg/l. And the DO quality level obtained a value between 1.15 mg/l and 2.7 mg/l. The distribution of clean water quality levels along the distribution network is as follows, for pH levels of 100% which meet quality standards, Fe levels of 100% which meet quality standards, KMnO4 levels of 87.5% which meet quality standards and DO levels which do not meet quality standards. 1. Introduction The need for clean water must be met in terms of quantity, quality and continuity. Aspects of clean water quality that are not met will affect public health. The quality of clean water sourced from groundwater, river water and rainwater must meet physical, chemical and biological characteristics. Clean water quality that meets health quality standards will be safe for use by the community so that it does not harm health. Water quality testing must be carried out routinely, especially at the water source [13]. Water quality can be influenced by various things, natural and non-natural. Natural things include plants, rocks, soil and weather. Agricultural waste, industrial waste and domestic waste can be generated by daily human activities [17]. A description of water quality can be done using descriptive observational methods. Observations mainly consist of the physical quality of clean water [1]. * Corresponding author: © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/). BIO Web of Conferences 137, 03016 (2024) ICBCD 2024 https://doi.org/10.1051/bioconf/202413703016 Rural residents meet their clean water needs from groundwater. The groundwater can be deep or shallow groundwater. Of course, shallow groundwater is easier and cheaper to collect, but there are many villages that need to use deep groundwater [12]. Regional drinking water companies provide clean water services to urban communities. Fulfilment of clean water must reach all regions in Indonesia, urban and rural. Due to its large area and mountainous topography, it is difficult for Local Water Company (LWC) to reach it. To overcome this, several regions are developing independent water management through the Rural Drinking Water Supply System [8]. The existing groundwater path will determine the potential for groundwater to enter the area. Determining the path of water in the ground can be done using geoelectricity. Water in the ground can be groundwater or leachate if it is near a waste dump [14]. Clean water leaks in LWC Gorontalo City are still considered high, above 20%. LWC services are not optimal as a result of this leak [15]. Clean water users and number of customers in an area that is included in the service zone is information that can be used in planning clean water production in the future. Service to customers always looks at aspects of quantity and quality [6]. Drinking Water Supply and Sanitation Work Unit for Drinking Water in DI province. Yogyakarta is trying to facilitate the community in Gunung Kidul Regency in making it easier to get clean water through the Village Drinking Water Supply System (SPAMDes) program. Assessment in the form of monitoring and evaluation of the SPAMDes program needs to be carried out routinely and continuously until the following year [2]. Typically, the iron (Fe) present in water is in a dissolved state. Iron is frequently present in soil, and groundwater also includes iron. According to the Regulation of the Minister of Health of the Republic of Indonesia Number 32 of 2017, the maximum permissible iron content in drinking water is 1 mg/l. Excessive iron levels that surpass health limits can lead to a range of issues affecting both health and daily activities. Chronic consumption of drinking water with elevated iron levels may lead to health repercussions [7]. Dissolved Oxygen (DO) is a metric for assessing water quality. Water quality is deemed superior when the dissolved oxygen (DO) concentration is elevated, whereas dirty water is characterized by diminished oxygen levels [10]. The Republic of Indonesia Minister of Health Regulation Number 32 of 2017 (Water Quality Regulation) stipulates that the minimum limit for dissolved oxygen in drinking water is 4 mg/l. Organic compounds, particularly those soluble in water, may originate from daily human activities, animals, plants, or other sources. Dissolved organic compounds are readily degraded by bacteria utilizing dissolved oxygen in water. Water that is polluted or contaminated contains elevated levels of organic materials, rendering it unsuitable for consumption as drinking water [3]. Water Quality Regulation establishes permissible water quality requirements based on characteristics for drinking water, which include clarity, tastelessness, and lack of odor. The allowable pH range is 6.5 to 8.5. The maximum concentration of dissolved iron in water is less than 1 mg/l. The permissible concentration of KMnO4 or dissolved organic compounds in water is less than 10 mg/l. Simultaneously, dissolved oxygen (DO) levels in water are a minimum of 4 mg/l. The collected water samples encompass multiple locations, including the residential connection. The samples are subsequently evaluated for quality in the laboratory. Sample test data were analyzed utilizing the Inverse Distance Weighted (IDW) approach with ArcGIS software. The IDW method exhibits greater accuracy than the Kriging method, as the values converge towards the lowest and maximum o (...truncated)


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Barid Burhan, Zoana Aldila Rahmi, Hairani Ani, Harsanto Puji, Lesmana Surya Budi, Robial Siti Muawanah. Distribution of Clean Water Quality Levels in SPAMDes Ngudi Tirto Kulon Progo, BIO Web of Conferences, 2024, pp. 03016, Issue 137, DOI: 10.1051/bioconf/202413703016