000			03396nam a22003257a 4500
003			OSt
005			20250711091245.0
008			250711b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH T 58.5 _bA94 2025
100			_aAvellana, Dorothea _eauthor
245			_aEcotrack: _b a web and mobile-based real-time garbage truck tracking with proximity alerts using gps for barangay pamplona uno/ _cDorothea Avellana, Kristan Lloyd B. Balanga, Shekinah Marie D. Cayco, Nyl Raemon S. Leonardo, and Ruperto A. Marqueta.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_aviv, 178pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Science.-- _bBachelor of science in information technology: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aThe study addressed the inefficiencies in local waste collection operations by developing a real-time garbage truck tracking system tailored for Barangay Pamplona Uno, Las Piñas City. With the increasing need for smart waste management and community engagement, a system was developed that integrates tracking technology composed of an A7 GPS/GSM module and ESP32 Microcontroller with a mobile application for the residents and a web-based platform for the administrators to provide real-time location updates and service coordination. The main objective of the study is to design and implement a tracking solution that enhances waste collection efficiency through features such as live truck tracking, notification alerts, collection schedule management, disposal request handling, and data analytics for performance monitoring. The mobile application, currently available for Android devices, allows the users to view schedules, request pickups, and submit feedback, while the admin platform provides tools for monitoring, communication, and user account management. The significance of this research lies in its potential to improve waste collection responsiveness, encourage user participation, and provide actionable insights through analytics, particularly in densely populated communities. The system addresses existing limitations such as delayed response times and tracking interruptions due to network instability or equipment constraints. The system was evaluated using the ISO 25010 standards. Testing procedures were conducted involving fifty (50) participants: 15 IT professionals, 15 local residents, 10 IT students, 5 garbage truck drivers, and 5 barangay staff, to assess the system's usability, technical performance, and tracking accuracy. The result showed that EcoTrack is functional and usable, obtaining a grand weighted mean of 3.70 described as “Highly Acceptable”. The developed EcoTrack system demonstrates a practical application of IoT-based monitoring systems in community-scale environmental services.
650			_aESP32 microcontroller
650			_aMobile application
650			_aSchedule management
700			_aBalanga, Kristan Lloyd B. _eauthor
700			_aCayco, Shekinah Marie D. _eauthor
700			_aLeonardo, Nyl Raemon S. _eauthor
700			_aMarqueta, Ruperto A. _eauthor
942			_2lcc _cBTH COS _n0
999			_c30286 _d30286