Adept and yield optimizing system: web-based-app for appliance repair services (ayos)/ Ralf Gabriel M. Ayuban, Ryan M. Dela Cruz, Michael Vincent G. Martin, and Marcos Darwin P. Tulalian.--

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Ayuban, Ralf Gabriel M [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: 136pages: 29cmContent type:

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BTH HF 5548.2 A98 2025

Dissertation note: College Of Science.-- Bachelor of science in information system: Technological University of the Philippines, 2025. Summary: One of the major issues commonly encountered in households is the occurrence of broken or malfunctioning appliances, which can lead to more complications, inconvenience, and safety hazards. To address this problem, the researchers developed a web application that answers appliance-related issues and provides access to qualified technicians who can help ensure the proper functioning of the appliances. This study, "Adept and Yield Optimizing System: Web-Based App For Appliance Repair Services (Ayos)," aimed to create a web application that allows appliance maintenance to be more efficient, easy to use, and accessible for everyone by providing a smooth and user-friendly experience. Through this web application, it can also be a platform for creating employment opportunities for professional technicians. The website increases the number of efficient repair services for customers and minimizes unemployment in the Philippines. The customers are advantaged by the convenience of sending detailed descriptions of the issues with their appliances. Technicians can provide various services based on the level of urgency after reading through the submissions. The system facilitates effective communication, accelerates service delivery, and offers a more tailored experience through such an efficient process. The ISO 25010 evaluation framework was applied with a special emphasis placed on the capacity to evaluate the reliability of the system. Based on the responses from thirty (30) respondents, the web app gained a mean score of 3.56, corresponding to "Highly Acceptable.” The results show that the system is highly effective, with features that deliver the expected outcomes in different scenarios. Within the parameters provided, the system also demonstrated stable operation reliability.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH HF 52448.2 A98 2025 (Browse shelf(Opens below))	c.1	Not for loan		BTH0006367

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Bachelor's thesis

College Of Science.--
Bachelor of science in information system: Technological University of the Philippines,
2025.

Includes bibliographic references and index.

One of the major issues commonly encountered in households is the occurrence of
broken or malfunctioning appliances, which can lead to more complications,
inconvenience, and safety hazards. To address this problem, the researchers developed a
web application that answers appliance-related issues and provides access to qualified
technicians who can help ensure the proper functioning of the appliances. This study,
"Adept and Yield Optimizing System: Web-Based App For Appliance Repair Services
(Ayos)," aimed to create a web application that allows appliance maintenance to be more
efficient, easy to use, and accessible for everyone by providing a smooth and
user-friendly experience. Through this web application, it can also be a platform for
creating employment opportunities for professional technicians. The website increases
the number of efficient repair services for customers and minimizes unemployment in the
Philippines. The customers are advantaged by the convenience of sending detailed
descriptions of the issues with their appliances. Technicians can provide various services
based on the level of urgency after reading through the submissions. The system
facilitates effective communication, accelerates service delivery, and offers a more
tailored experience through such an efficient process. The ISO 25010 evaluation
framework was applied with a special emphasis placed on the capacity to evaluate the
reliability of the system. Based on the responses from thirty (30) respondents, the web
app gained a mean score of 3.56, corresponding to "Highly Acceptable.” The results
show that the system is highly effective, with features that deliver the expected outcomes
in different scenarios. Within the parameters provided, the system also demonstrated
stable operation reliability.

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