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IoT Monitoring System for Ornamental Fish Water Quality Control: Sistem Pemantauan IoT untuk Pengendalian Kualitas Air Ikan Hias Muhammad Firhand Setiaky; Shazana Dhiya Ayuni; Dwi Hadidjaja Rasjid Saputra; Syamsudduha Syahrorini
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.v26i3.2057

General Background Ornamental fish cultivation requires consistent environmental control to maintain optimal health and productivity. Specific Background Key parameters such as temperature, total dissolved solids, and water flow significantly determine the success of fish grooming processes. Knowledge Gap Manual monitoring is often inconsistent due to user limitations, leading to suboptimal environmental conditions and reduced fish quality. Aims This study aims to design and implement an Internet of Things-based monitoring system to observe water quality and automate feeding processes in real time. Results The system integrates ESP8266, temperature sensors, TDS sensors, and water flow sensors, transmitting data to a spreadsheet platform. Experimental results show stable temperature at 31°C and TDS at 158 ppm, while water flow varies depending on filter conditions and pump capacity. Novelty The integration of real-time monitoring with automated feeding and filtration analysis provides a practical solution for continuous fish care. Implications This system supports efficient water quality management, reduces manual workload, and enables data-driven decision-making for improving ornamental fish cultivation outcomes. Keywords: IoT Monitoring, Water Quality, Ornamental Fish, ESP8266, Sensor System Key Findings Highlights Real-time sensing ensures stable aquatic conditions across multiple parameters Automated feeding mechanism operates accurately using time-based control Filtration performance can be evaluated through flow rate variation patterns

Voice Controlled DC Motor System Using IoT Monitoring: Sistem Motor DC yang Dikendalikan Suara dengan Pemantauan IoT Imron Muhammad Triaji; Shazana Dhiya Ayuni
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.v26i3.2063

General Background DC motors are widely used in industrial and household applications requiring precise and flexible speed control. Specific Background Recent advancements in Internet of Things and voice recognition technologies enable more intuitive and remote-based control systems. Knowledge Gap Conventional DC motor control systems are generally limited to manual or application-based interfaces without integrated voice command features. Aims This study aims to design and implement a DC motor control system using voice commands integrated with IoT-based monitoring. Results The system utilizes a microcontroller, PWM method, and voice recognition module to control motor speed, where voice inputs are successfully translated into motor responses and monitored through an IoT platform. Novelty The integration of voice command control with IoT-based monitoring provides a more interactive and accessible approach for DC motor operation. Implications This system offers a practical solution for remote and user-friendly motor control, supporting the development of smart automation systems in various applications. Keywords: Voice Recognition, Internet of Things, DC Motor Control, PWM, Smart System Key Findings Highlights Voice commands are successfully converted into motor speed adjustments Monitoring system enables real time observation through network connectivity Integrated control approach simplifies user interaction with hardware systems

Real Time Flyover Monitoring System Using MPU6050 and LoRa: Sistem Pemantauan Jembatan Layang Secara Real-Time Menggunakan MPU6050 dan LoRa Aflaq Puji Asmoro; Shazana Dhiya Ayuni
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.v27i1.2074

General Background Structural health monitoring is essential to ensure the safety and durability of infrastructure such as flyovers, especially under environmental and operational loads. Specific Background Sensor-based monitoring systems using accelerometer and gyroscope data provide an approach to detect structural vibrations and movements in real time. Knowledge Gap However, the integration of MPU6050 sensors with LoRa communication and cloud-based monitoring platforms for continuous flyover monitoring remains limited. Aims This study aims to design and implement a structural health monitoring system for the Sumokali Flyover using MPU6050 sensors, LoRa communication, and Google Sheet for real-time data visualization. Results The system successfully measures vibration and movement across three axes (X, Y, Z) and classifies structural conditions based on threshold values, with testing results showing normal status and 0.0% crack alert under safe conditions. Novelty The study presents a prototype integrating wireless LoRa communication and cloud-based monitoring without requiring continuous internet connectivity at the sensor node. Implications The system offers a practical solution for continuous infrastructure monitoring and early detection of structural anomalies to support maintenance and safety management. Keywords: Structural Monitoring, MPU6050 Sensor, LoRa Communication, Internet of Things, Flyover System Key Findings Highlights Sensor readings remained within safe thresholds during testing conditions Wireless transmission enables remote observation without direct connectivity Threshold-based classification provides early indication of structural condition

IoT Based PDAM Water Meter Monitoring System With Real Time Data: Sistem Pemantauan Meteran Air PDAM Berbasis IoT dengan Data Real-Time Radika Saifuddin; Shazana Dhiya Ayuni
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.v27i1.2078

General Background: Water is a vital resource, and increasing demand requires accurate monitoring systems. Specific Background: Conventional PDAM water meters face limitations in accuracy, real-time monitoring, and data recording. Knowledge Gap: Existing systems lack integrated real-time monitoring with unlimited database storage for long-term usage tracking. Aims: This study aims to develop an Internet of Things based water meter monitoring system using ESP32 and YF-S201 sensor to measure water usage and cost. Results: The system displays real-time data via LCD and Blynk application while storing data in Google Spreadsheet, with an average flow error of 1.023% and cost error of 1.285%. A 30-day test recorded total water usage of 30,408.55 liters with a cost of Rp150,729.06. Novelty: The integration of real-time monitoring with automatic cloud-based data storage without capacity limitation distinguishes this system from previous studies. Implications: This system supports accurate recording, improves transparency, and offers a scalable digital solution for modern water distribution monitoring. Keywords: Internet of Things, Water Monitoring, ESP32, Water Flow Sensor, PDAM System Key Findings Highlights Real-time monitoring system records consumption and cost with low measurement deviation Cloud-based storage enables continuous and unlimited data logging Monthly testing demonstrates stable system performance in practical use

FMCW Radar Based Human Detection System for Smart Home Security: Sistem Deteksi Manusia Berbasis Radar FMCW untuk Keamanan Rumah Pintar Yuswono Hariswanda; Shazana Dhiya Ayuni
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.v27i1.2082

This study addresses the development of a home security system utilizing Frequency Modulated Continuous Wave radar for human presence detection. General Background: Home security systems require reliable detection technologies capable of operating under various environmental conditions. Specific Background: Conventional systems such as CCTV and PIR sensors face limitations in low-light and obstructed environments. Knowledge Gap: There is a need for a detection system that maintains accuracy regardless of lighting and can detect through obstacles. Aims: This study aims to design and implement a human detection system using a 24 GHz HLK-LD2450 sensor integrated with an ESP32 microcontroller and Telegram-based notification system. Results: The system successfully detects human presence in real time within a 6-meter range and ±60° angle, providing stable measurements of position, distance, and speed, with consistent updates every eight seconds. Novelty: The integration of FMCW radar with real-time Telegram notifications provides a combined local and remote monitoring capability under non-line-of-sight conditions. Implications: The proposed system offers a practical solution for improving home security by enabling reliable detection in diverse environmental conditions and enhancing remote monitoring capabilities. Keywords: Fmcw Radar, Human Detection, Home Security System, Esp32, Telegram Notification Key Findings Highlights Real-time tracking provides stable spatial and motion data in indoor environments Radar sensing enables detection under obstructed and low-light conditions Integrated messaging system delivers continuous remote monitoring capability

Current Sensor Based Electrical Leakage Detection System with Audible Alarm: Sistem Deteksi Kebocoran Listrik Berbasis Sensor Arus dengan Alarm Suara Ainul Yaqin; Shazana Dhiya Ayuni
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.v27i1.2083

This study presents the development of an electrical cable leakage detection system based on a current sensor integrated with an audible alarm. General Background: Electrical leakage poses serious risks to safety, including equipment damage and fire hazards, requiring reliable detection systems. Specific Background: Conventional monitoring methods are often limited in responsiveness and require continuous manual observation. Knowledge Gap: There is a need for a real-time, automated, and low-cost system capable of detecting leakage current and providing immediate warning. Aims: This research aims to design and implement a leakage current detection system using the ACS712 current sensor and an Arduino microcontroller with a buzzer alarm feature. Results: The system detects leakage current exceeding a threshold of 450 mA, achieving accuracy above 90% and an average response time of 0.96 seconds, with stable real-time monitoring and clear LCD display output. Novelty: The integration of a current sensor with a direct audible alarm and simple microcontroller-based processing provides a practical and accessible detection mechanism. Implications: The proposed system offers a cost-effective solution for improving electrical safety in residential and small industrial environments through early warning capability. Keywords: Current Sensor, Leakage Detection, Arduino, Audible Alarm, Electrical Safety Key Findings Highlights Real-time monitoring identifies abnormal current conditions rapidly Sound alert activates immediately when threshold is exceeded System maintains stable operation under varied electrical loads

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