Garuda - Garba Rujukan Digital

Bridge Vibration Monitoring Using ESP32 and MPU6050: Pemantauan Getaran Jembatan Menggunakan ESP32 dan MPU6050 Muhadzdzib Sayyidul Quthb; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2172

General Background: Structural health monitoring is essential for maintaining bridge safety and supporting infrastructure management through continuous observation of operational conditions. Specific Background: Bridge vibrations generated by passing vehicles can contribute to structural degradation, creating a need for real-time monitoring systems that allow remote data access and storage. Knowledge Gap: Existing studies have demonstrated vibration measurement and bridge monitoring approaches; however, a practical system integrating vibration sensing, wireless communication, and cloud-based data recording through a simple spreadsheet platform remains limited. Aims: This study aimed to develop a bridge vibration monitoring system using an ESP32 microcontroller, an MPU6050 accelerometer and gyroscope sensor, and Google Sheets as a remote monitoring and database platform. Results: The developed system successfully detected, transmitted, stored, and displayed bridge vibration data in real time through an internet connection. Measured vibration values were classified according to vehicle type, with recorded vibration speeds of 1.87 m/s for tronton trucks, 1.47 m/s for trucks, 0.40–0.97 m/s for buses, and 0.11–0.39 m/s for cars. Novelty: The proposed system combines ESP32-based wireless sensing, MPU6050 vibration measurement, and direct Google Sheets integration within a single monitoring framework for bridge vibration observation. Implications: The system provides a practical approach for remote bridge condition monitoring and data archiving, supporting routine observation and future assessment of bridge structural conditions.Highlights: Real-time vibration data were transmitted and stored through an online spreadsheet platform. Vehicle categories produced distinct measured vibration ranges on the observed structure. Wireless sensing architecture enabled remote observation and database recording. Keywords: Bridge Vibration Monitoring; Structural Health Monitoring; ESP32; MPU6050; Internet of Things

IoT Noise Monitoring System for Real Time Petshop Surveillance: Sistem Pemantauan Kebisingan Berbasis IoT untuk Pengawasan Toko Hewan Peliharaan Secara Real-Time Nasrul Amin; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2178

General Background: Animal welfare in petshops requires continuous monitoring to ensure that environmental conditions remain safe and comfortable for animals. Specific Background: Noise disturbances caused by animal discomfort or hunger can be difficult for petshop owners to monitor continuously, particularly when they are away from the facility. Knowledge Gap: Existing petshop monitoring practices provide limited capability for remote observation and immediate notification of excessive noise conditions. Aims: This study aimed to develop an Internet of Things based noise monitoring system that detects animal noise levels, provides visual monitoring, and delivers real time notifications to petshop owners. Results: The system integrates a NodeMCU ESP8266, GY MAX4466 sound sensor, ESP32 Cam, tilt servo, Blynk application, and Telegram notifications. Testing showed that the sound sensor detected noise optimally within a range of 1–5 m, while data transmission to the Blynk platform exhibited an average delay of 1.2 s. The camera orientation could be remotely controlled through the application, and Telegram notifications were transmitted continuously until noise levels returned to a safe category. Novelty: The proposed system combines noise detection, remote visual monitoring, camera positioning control, and automated notification services within a single IoT platform for petshop environments. Implications: The developed device provides petshop owners with real time information regarding animal conditions, supporting timely monitoring and response to noise-related situations.Highlights: Sound sensing operated reliably at distances between 1 and 5 meters. Data transmission through the mobile platform recorded an average latency of 1.2 seconds. Continuous alert messages were delivered until acoustic conditions returned to the safe category. Keywords: Internet of Things; Noise Monitoring; Petshop Surveillance; ESP32 Cam; Real Time Notification

Real Time Tread Width Monitoring Using IoT Sensors: Pemantauan Lebar Tapak Ban Secara Real-Time Menggunakan Sensor IoT Diva Haristanto; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2180

General Background: Automated measurement systems are increasingly required in industrial environments to support product quality and operational consistency. Specific Background: In motorcycle tire production, tread width monitoring is commonly performed manually using a roll meter, while tread dimensions vary according to production requirements. This study designed an automatic tread width measurement and monitoring system using VL53L0X sensors, an Arduino Uno microcontroller, an ESP8266 module, an I2C LCD, and Google Sheets for real-time data recording. Knowledge Gap: Previous studies have applied non-contact laser measurement for profile monitoring; however, the integration of automatic tread width measurement with real-time cloud-based monitoring was not addressed. Aims: This study aimed to design and evaluate an automatic system for measuring and monitoring motorcycle tire tread width. Results: The developed system successfully displayed measurement results on an LCD and transmitted data to Google Sheets through serial communication between Arduino Uno and ESP8266. Sensor measurements were generally within acceptable limits, with accuracy ranging from 95% to 100%, while data transmission operated consistently for real-time monitoring. Novelty: The proposed system combines dual VL53L0X-based tread width measurement, local display, and cloud-connected monitoring through Google Sheets within a single integrated platform. Implications: The system provides an alternative to manual measurement methods by offering automated tread width monitoring and online data accessibility for production environments with varying tread sizes.Highlights: Automated dimensional assessment achieved accuracy levels between 95% and 100%. Cloud-connected data transfer operated consistently through ESP8266 communication. Online recording and local display were integrated within one monitoring platform. Keywords: Tread Width Measurement; VL53L0X Sensor; Arduino Uno; Real-Time Monitoring; Google Sheets

IoT Based Real Time Monitoring of WWTP Motor Power Consumption: Pemantauan Konsumsi Daya Motor Instalasi Pengolahan Air Limbah Secara Real-Time Berbasis IoT Darmaliya Andilir Rokhman; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2181

General Background: Wastewater Treatment Plants (WWTPs) require reliable motor operation to support continuous wastewater treatment processes. Specific Background: Monitoring electrical parameters such as voltage, current, and power is important for maintaining the operational condition of single-phase WWTP motors and supporting maintenance activities. Knowledge Gap: Previous studies have monitored operational parameters of WWTP motors; however, the integration of electrical power monitoring, cloud-based data storage, and remote motor control in a single Internet of Things (IoT) system remains limited. Aims: This study aimed to develop a Google Spreadsheet-based control and monitoring system for single-phase WWTP motor electrical power consumption using IoT technology. Results: The proposed system integrated an ESP32 microcontroller, a PZEM-004T sensor, Google Spreadsheet as a real-time database, and the Blynk application for remote motor control. Testing demonstrated average measurement errors of 0.12% for voltage, 0% for current, and 0.172% for power, indicating high measurement accuracy. Novelty: The study presents an integrated IoT framework that combines real-time monitoring of voltage, current, and power with Google Spreadsheet-based data logging and virtual-button motor control through Blynk. Implications: The system provides a practical solution for WWTP managers to monitor motor conditions, support maintenance scheduling, prevent equipment damage, and facilitate real-time supervision of motor operation.Highlights: Integrated cloud-connected architecture combining ESP32, PZEM-004T, Google Spreadsheet, and Blynk. Measurement testing produced average errors of 0.12% for voltage, 0% for current, and 0.172% for power. Remote operation and continuous data logging support maintenance and condition supervision of WWTP equipment. Keywords: Internet of Things; Wastewater Treatment Plant; ESP32; PZEM-004T; Real-Time Monitoring

Cloud Based Hand Grip Measurement for Stroke Patients: Pengukuran Kekuatan Genggaman Tangan Berbasis Awan untuk Pasien Stroke Erwin Hari Nugroho; Arief Wisaksono; Dwi Hadidjaja Rasjid Saputra
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2182

General Background: Stroke remains a major health problem, and continuous monitoring of motor function is important for assessing patient rehabilitation progress. Specific Background: Hand grip strength is commonly used to evaluate motor conditions in post-stroke patients; however, previous measurement systems either required manual patient data recording or relied on limited-capacity local storage. Knowledge Gap: Existing hand grip measurement devices have not adequately provided integrated patient identification and cloud-based data storage for long-term monitoring. Aims: This study aimed to develop a hand grip strength measurement system for stroke patients using Internet of Things (IoT) technology, RFID-based patient identification, and Google Spreadsheet cloud storage. Results: The proposed system utilized an ESP32 module, RFID-RC522, load cell sensor, HX711 module, and LCD display. Testing showed a load cell error rate of 0.3%, an average RFID data transmission delay of 3.4 seconds, and an overall system error of 1.09% based on measurements from 10 stroke patients compared with a CAMRY Hand Dynamometer Model 101. Measurement results were automatically stored in Google Spreadsheet and could be accessed by healthcare providers and patient families. Novelty: The system integrates hand grip assessment, RFID-based patient identification through E-KTP, and cloud-based data storage within a single IoT platform. Implications: This design provides a practical approach for structured and accessible monitoring of hand grip strength data in stroke patient therapy programs.Highlights: Sensor calibration testing produced a measurement error of only 0.3%. RFID-RC522 transmitted patient identification data with an average delay of 3.4 seconds. Comparison with a commercial dynamometer showed a mean system error of 1.09% across ten participants. Keywords: Stroke; Hand Grip Strength; Internet of Things; Google Spreadsheet; RFID

Google Sheet Based Air Dryer Compressor Monitoring System: Sistem Pemantauan Kompresor Pengering Udara Berbasis Google Sheets Muhammad Irwani Amin; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2186

General Background: Compressed air systems require moisture control to maintain reliable operation and protect pneumatic equipment from damage caused by water vapor. Specific Background: Air dryer compressors equipped with evaporator systems are commonly used to reduce humidity in compressed air, while real-time monitoring is needed to observe operating conditions such as temperature, humidity, and pressure. Knowledge Gap: Conventional monitoring approaches often provide limited accessibility and do not integrate operational data into a cloud-based platform for continuous observation and data storage. Aims: This study aimed to design and develop an air dryer compressor with an evaporator system integrated with Google Sheet-based monitoring using Internet of Things technology. Results: The developed system employed DHT22 and pressure transmitter sensors connected to an ESP32 microcontroller to measure temperature, humidity, and air pressure, with data transmitted and displayed in Google Sheet in real time. Sensor testing showed close agreement with standard measuring instruments, while the monitoring platform continuously recorded operational parameters and generated organized data records. Novelty: The study presents the integration of an evaporator-based air dryer compressor with IoT-enabled monitoring and cloud-based data logging through Google Sheet within a single operational system. Implications: The proposed system provides accessible remote monitoring, structured data management, and continuous observation of compressor operating conditions, supporting reliable pneumatic system operation and maintenance activities.Highlights: Real-time data transmission enabled continuous observation of temperature, humidity, and air pressure parameters. DHT22 measurements showed close agreement with reference instrument readings during testing. Cloud-based records provided organized storage and remote access to operational information. Keywords: Air Dryer Compressor; Internet of Things; ESP32; Google Sheet Monitoring; Pressure Transmitter

Title

Found 6 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 6 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 6 Documents
Search