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Amin, Warnner Daminar
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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USTP- Panaon Recompense Waste Management: Automated Segregation and Web-Based Notifications Hilot, Crichpe A; Beniga, Janjel S; Maca-ambac, Sheena L; Pizana, Marchel P; Amin, Warnner Daminar
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11180

Abstract

Recompense Waste Management: Automated Waste Segregation and Web-Based Notifications provides a novel solution to the growing problem in the field of waste management. The system aimed to enhance the segregation and disposal of waste provides automation and a technological approach to it making it efficient, sustainable, and accountable. Functionality The main function is automatically sorting waste, identifying biodegradable and non-biodegradable waste, rejecting expired waste. Smart segregation can be simplified by using smart segregation bins with advanced sensor technology. "Real time update on the bins status is provided through the web-based notification system, which allows enumerators to keep an eye on how much waste the bins have remotely and receive instant notifications for full bins or system errors. This minimizes the necessity for human interventions, resulting in better overall operational efficiency. Methods of evaluation included surveys and rules for system users with statistical analysis of responses. The study also evaluated the system’s use in user studies conducted under controlled conditions. Not only does this inventive solution combat the logistical issues surrounding waste management, but it also promotes recycling and the correct disposal of items through efficient sorting.
Aloran Water Level Monitoring System with Web Data Logging Utilizing Ultrasonic Sensor Amin, Warnner Daminar; Salaguste, Gail Diane; Gabayan, Charlyn M; Pereno, Allene S.; Caw-it, Jelly Grace A.
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11241

Abstract

The Aloran Water Level Monitoring System was developed to enhance disaster preparedness by integrating real-time monitoring, data logging, and warning mechanisms. Utilizing ultrasonic sensors, Arduino UNO R3, and ESP8266 microcontrollers, the system measured water levels and transmitted data to a local web server. A GSM module sent real-time alerts, while warning lights activated at critical thresholds. Testing confirmed high accuracy in water level measurement, effective real-time data logging, and timely notifications, earning a 4.42 general weighted mean (“Very Good”). The system proved reliable and cost-effective for flood monitoring and disaster risk reduction. Recommendations include incorporating solar-powered modules for remote deployment, cloud-based servers for broader accessibility, and predictive analytics for improved flood forecasting.
Co-Authors Beniga, Janjel S Caw-it, Jelly Grace A. Gabayan, Charlyn M Hilot, Crichpe A Maca-ambac, Sheena L Pereno, Allene S. Pizana, Marchel P Salaguste, Gail Diane