An iot data-driven document tracking device with prescriptive analytics/
John Karlo C. Baniqued, Ma. Lilibeth A. Dela Cruz, Mildred R. Epan, Jhonn Wilfred F. Jusay, and Daniel M. Pelaez.--
- Manila: Technological University of the Philippines, 2025.
- xv, 188pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
Includes bibliographic references and index.
In any organization, managing and processing documents has been a crucial part of an employee's duties. These documents are essential for promoting accountability, consistency, and conformity to company policies. As proof of their performance and excellence on campus, each employee at the Technological University of the Philippines-Manila possesses DRA documents. Therefore, it is a major setback if one of the documents is discovered to be missing, as this may result in delayed salary. In order to address the problem of missing documents in workflow and to encourage rigorous adherence to the Anti-Red Tape Authority's (ARTA) time limits, this study presents an integrated hardware and software system called "An IoT Data-Driven Document Tracking Device with Prescriptive Analytics" that is intended to effectively track physical documents pertaining to ARTA-related school procedures. The system is built on an Internet of Things (IoT)-based document tracking device that is physically linked to papers and tracks their movement and progress throughout the workflow. The major goal is to solve inefficiencies and delays in document processing by creating and testing a real-time tracking solution. The proposed system incorporates an Arduino Nano 33 IoT microcontroller integrated with actuators, such as an active buzzer, a vibration motor, and a linear actuating mechanism using a servo motor. The chassis of the device was 3D printed using ABS plastic to ensure durability, customization, and improved spacing between components. The Message Queuing Telemetry Transport (MQTT) protocol is used to transmit data in real time, allowing the microcontroller and a Django-based web application to communicate reliably. The web program also includes prescriptive analytics, which provide actionable recommendations based on criteria such as lateness, delays, and processing time. The system demonstrated accurate document tracking, progress monitoring, and real-time notifications through comprehensive hardware and software testing. Evaluation results yielded an overall mean score of 4.42, categorizing the system’s performance as “Very Satisfactory” and confirming its reliability, functionality, and user acceptance.
Web-based tracking system Document tracking IoT tracking