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All Journal Indonesian Journal of Innovation Studies
Arief Wicaksono
Program Studi Teknik Elektro, Universitas Muhammadiyah Sidoarjo
Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice

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Water Pump Speed Control System Using ESP32 and Blynk: Sistem Pengatur Kecepatan Pompa Air Menggunakan ESP32 dan Blynk Hamzah Maulana; Arief Wicaksono
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.2075

Abstract

General Background The advancement of Internet of Things technology enables automation and remote control of electrical devices in daily applications. Specific Background Water pumps using AC motors generally operate at fixed speeds, limiting user flexibility in adjusting water usage. Knowledge Gap However, practical implementation of remote-based speed control systems for single-phase AC water pumps using integrated IoT platforms remains limited. Aims This study aims to design and implement a water pump speed control system using an ESP32 microcontroller, AC light dimmer, and Blynk application for remote operation. Results The system successfully regulates pump speed through a smartphone interface, where higher slider percentages correspond to increased voltage and motor rotation, with test results showing 25% producing 1.4V (slow), 35% producing 1.6V (slow), 50% producing 2.1V (medium), and 80% producing 2.7V (fast). Novelty The proposed system integrates ESP32-based control with a mobile IoT platform and dimmer-based voltage regulation in a simple minimum system configuration. Implications This system provides a practical solution for flexible water usage control and supports the development of smart home-based automation systems Keywords: Water Pump, ESP32, Blynk, AC Dimmer, Speed Control Key Findings Highlights Slider adjustment directly changes electrical input and rotation level Wireless interface enables remote operation through mobile device Prototype operates consistently under repeated testing conditions
Silicone Turbidity Monitoring System Using IoT for Extruder Machine: Sistem Pemantauan Kekeruhan Berbasis Silikon yang Menggunakan IoT untuk Mesin Ekstruder Andra Erlangga; Arief Wicaksono
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.2077

Abstract

This study presents a real-time monitoring system for silicone turbidity in an industrial extruder process. General Background: Quality control in manufacturing processes requires accurate monitoring systems to prevent product defects caused by inconsistent material composition. Specific Background: In silicone coating processes, improper silicone-to-water ratios can result in sticky or overly slippery film surfaces. Knowledge Gap: Conventional monitoring methods rely on manual observation, which is inefficient and prone to human error. Aims: This research aims to design and implement an IoT-based turbidity monitoring system to ensure optimal silicone mixture conditions. Results: The system utilizes a turbidity sensor SEN0189 integrated with NodeMCU ESP8266, displaying data via LCD and ThingSpeak platform, successfully identifying optimal ratios between 1:20 and 1:25 and triggering alarms for abnormal conditions. Novelty: The integration of real-time turbidity sensing with IoT-based remote monitoring and automated alert system provides a digital solution for industrial quality control. Implications: This system supports efficient monitoring, reduces manual inspection, and contributes to digital transformation in manufacturing aligned with Industry 4.0 principles. Keywords: Silicone Turbidity, IoT Monitoring, NodeMCU ESP8266, Industrial Quality Control, Turbidity Sensor Key Findings Highlights Real-time detection distinguishes optimal and defective mixture conditions Remote visualization enables continuous supervision without physical presence Automated alert system signals deviations from predefined standards
Co-Authors Andra Erlangga Hamzah Maulana