Implementation of Lean Methodology in IoT-Based Smart Water Dispenser for Real-Time Monitoring and Notification

  • Syifa Nursabilla Mezi Zahra Program Studi Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia, Indonesia
  • Kurniawan Dwi Irianto Program Studi Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia, Indonesia
Keywords: Smart Water Dispenser, Internet of Things, Lean Methodology, Monitoring, Notifikasi Real-Time

Abstract

This research develops an Internet of Things (IoT)-based Smart Water Dispenser using the Lean Methodology approach to create a real-time monitoring and notification system that is responsive to user needs. The system consists of a load cell, temperature sensor, and ultrasonic sensor integrated into a Firebase-based mobile application. Tests on 35 respondents showed an average volume sensor error of 1.89% (standard deviation 0.62%), an average notification delay of 0.92 seconds (standard deviation 0.15 seconds), and a user satisfaction score of 4.5/5. The main innovation of this research is the integration of multi-sensors with a Lean-based mobile notification system, which has proven to increase the efficiency of drinking water monitoring in public facilities. The results of this research are recommended for large-scale development and implementation in public environments. The consistent performance demonstrates that the system is highly feasible for implementation in large-scale public facilities.

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Author Biography

Kurniawan Dwi Irianto, Program Studi Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia, Indonesia

Kurniawan Dwi Irianto contributed as the supervisor of this research. He provided guidance in the application of the Lean Methodology and assisted in the analysis and evaluation of system implementation during field testing.

Published
2025-07-11
How to Cite
Zahra, S., & Irianto, K. (2025). Implementation of Lean Methodology in IoT-Based Smart Water Dispenser for Real-Time Monitoring and Notification. Jurnal Media Computer Science, 4(2), 403–414. https://doi.org/10.37676/jmcs.v4i2.8920
Section
Articles