An Iot-Based Waste Water Filtration with Monitoring System James Jocel C. Calisin, John Mark R. Delos Reyes, Billy Star A. Ong, Charlene Mae A. Santos and Mariah Nathalie J. Villanueva.--

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Calisin, James Jocel C [author]

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Material type: Text

TextPublication details: Manila Technological University of the Philippines 2023.Description: xv 164pages 29cmContent type:

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bth qa 76.9 C35 2023

Dissertation note: College of Industrial Education.-- Bachelor of Engineering Technology major in Computer Engineering Technology Technological University of the Philippines 2023. Summary: Laundry wastewater, a significant by-product of laundry activities, presents management and environmental impact challenges. With the increasing demand for laundry services, the amount of wastewater generated also rises, leading to challenges in managing it effectively and minimizing its environmental impact. There are existing solutions that need to address laundry wastewater while they are found to use IoT applications and water filters. Unfortunately, they lack monitoring of water filters. This project study focuses on the design, development, testing, and evaluation of IoT-Based Wastewater Filtration that monitors the duration of the water filters. It was implemented using a Waterfall Methodology. Test results show that there is no significant difference in the response time of the notification system for both the water filter and pH level (t (37.974) = -0.550; p = 0.586). This means that the time behaviour of the prototype is efficiently optimized and consistent, providing timely alerts and ensuring prompt action can be taken when necessary which means that the null hypothesis is accepted. Likewise, it was found that there is a significant difference in the functional correctness of the water filter and pH level sensors (t (115) = 9.627; p = < 0.001). This means that the null hypothesis is rejected, but the functional correctness of the prototype is efficiently filtering wastewater. The beneficiaries consist of laundry workers, households, and students who rated the prototype as very good with an average rating of 4.47 by ISO 25010:2011 requirements. The project study aligns with the United Nations’ Sustainable Development Goals (SDG), specifically SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action).

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Holdings
Item type	Current library	Shelving location	Call number	Status	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76.9 C35 2023 (Browse shelf(Opens below))	Not for loan		BTH0005549

Bachelor's thesis

College of Industrial Education.-- Bachelor of Engineering Technology major in Computer Engineering Technology Technological University of the Philippines 2023.

Includes bibliographic references and index.

Laundry wastewater, a significant by-product of laundry activities, presents management
and environmental impact challenges. With the increasing demand for laundry services,
the amount of wastewater generated also rises, leading to challenges in managing it
effectively and minimizing its environmental impact. There are existing solutions that need
to address laundry wastewater while they are found to use IoT applications and water
filters. Unfortunately, they lack monitoring of water filters. This project study focuses on
the design, development, testing, and evaluation of IoT-Based Wastewater Filtration that
monitors the duration of the water filters. It was implemented using a Waterfall
Methodology. Test results show that there is no significant difference in the response time
of the notification system for both the water filter and pH level (t (37.974) = -0.550; p =
0.586). This means that the time behaviour of the prototype is efficiently optimized and
consistent, providing timely alerts and ensuring prompt action can be taken when necessary
which means that the null hypothesis is accepted. Likewise, it was found that there is a
significant difference in the functional correctness of the water filter and pH level sensors
(t (115) = 9.627; p = < 0.001). This means that the null hypothesis is rejected, but the
functional correctness of the prototype is efficiently filtering wastewater. The beneficiaries
consist of laundry workers, households, and students who rated the prototype as very good
with an average rating of 4.47 by ISO 25010:2011 requirements. The project study aligns
with the United Nations’ Sustainable Development Goals (SDG), specifically SDG 6
(Clean Water and Sanitation) and SDG 13 (Climate Action).

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