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Water is one of the essential elements of basic biological needs for creatures on earth. Water is needed in daily activities ranging from cooking, washing, bathing, eating, drinking, and is also used in various sectors, including the industrial and agricultural sectors. PAMSIMAS is a government program for the provision of community-based drinking water and sanitation to provide services in the form of providing clean water that is suitable for consumption. According to the Regulation of the Minister of Health of the Republic of Indonesia regarding the quality requirements of clean water that is safe for health and good for consumption, namely having a maximum level of water turbidity 0-25 Nephelometric Turbidity Unit (NTU) and having a Potential Hydrogen (pH) base acidity of 6.5-9.0 and has a Total Dissolved Solid value (TDS) 50-150 ppm. The number of PAMSIMAS in areas that have not been monitored for clean water quality, so it is necessary to develop a monitoring system to determine whether clean water is suitable for consumption. In this study, for testing each sensor used, namely TDS sensors, Turbidity Sensors and pH sensors, a reading error rate of 1.66% was obtained for TDS sensors, 4.36% for turbidity sensors and 1.01% for pH sensors. From the results of monitoring clean water quality at PAMSIMAS Ngeling Village, Jepara Regency, data were obtained to monitor the turbidity level of a solution on average 21.2 NTU, the average acidity level of 7.01 and the average conductivity level of the solution 82.01 ppm, from these results clean water on PAMSIMAS is suitable for consumption. [ABSTRACT FROM AUTHOR]

The best learning is done by face-to-face learning, so better and simpler room management is needed. Each room uses a different key, so it will be difficult if there are more rooms. When the lecturer comes while the key bearer is not present, the lecture will be hampered. While on the other hand attendance is also needed to see the lecturer's performance. Therefore, it is necessary to simplify a system that uses lecturer data for attendance and to open the room door. For lecturer data that can be used is facial data or fingerprints, so that there is no direct contact, facial data is used. This study designed a facial recognition system to open the door of the room and the presence of lecturers. [ABSTRACT FROM AUTHOR]