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All Journal JTERA (Jurnal Teknologi Rekayasa) Journal of Mechatronics and Artificial Intelligence
Trisiani Dewi Hendrawati
Nusa Putra University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Sistem Peringatan Dini Banjir Berbasis Internet of Things (IoT) dengan Integrasi Multi-Sensor dan Logika Fuzzy Trisiani Dewi Hendrawati
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.131-140

Abstract

Penelitian ini mengembangkan sistem peringatan dini banjir berbasis Internet of Things (IoT) dengan integrasi multi-sensor dan metode logika fuzzy. Sistem dirancang menggunakan mikrokontroler ESP32 sebagai unit pemrosesan utama yang terhubung dengan beberapa sensor, yaitu Tipping Bucket untuk mengukur curah hujan, DHT22 untuk memantau suhu, YF-B1 untuk mendeteksi laju aliran air, serta JSN-SR04T sebagai sensor ultrasonik untuk mengukur ketinggian air. Data dari sensor dikirimkan secara real-time ke Google Spreadsheet sebagai media penyimpanan berbasis cloud, ditampilkan melalui OLED untuk pemantauan lokal, serta dikirimkan ke Bot Telegram sebagai notifikasi peringatan. Sistem ini juga dilengkapi buzzer sebagai alarm di lokasi. Hasil pengujian menunjukkan bahwa seluruh sensor memiliki tingkat akurasi tinggi dengan rata-rata error rendah: Tipping Bucket (0,60%), YF-B1 (3,36%), JSN-SR04T (2,10%), dan DHT22 (0,87%). Integrasi dengan logika fuzzy memungkinkan sistem melakukan analisis risiko banjir secara cepat dan tepat. Dengan performa yang andal, sistem ini berpotensi diterapkan dalam skala lebih luas untuk mendukung mitigasi bencana banjir secara efektif.
Mamdani Fuzzy Logic-Based Room Temperature Monitoring and Control System Trisiani Dewi Hendrawati; Fikri Arif Wicaksana; Panji Narputro; Samirah Rahayu
Journal of Mechatronics and Artificial Intelligence Vol. 2 No. 1 (2025): JMAI: June 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v2i2.88461

Abstract

Automatic room temperature control is a crucial need for maintaining comfort and energy efficiency, especially in enclosed environments such as offices, laboratories, and homes. This research aims to design and develop a room temperature monitoring and control system based on Mamdani fuzzy logic. The system utilizes a temperature sensor to monitor real-time environmental conditions and actuators (fans or heaters) as outputs to adjust the temperature. The Mamdani fuzzy logic method is chosen for its ability to handle uncertainty and provide decisions that resemble human reasoning. Test results show that the system can maintain the room temperature within the desired range responsively and efficiently. By implementing this system, thermal comfort can be achieved automatically without manual intervention, while also supporting energy savings in the operation of cooling and heating devices.
Mamdani Fuzzy-Based Soil Fertility Detection Using Moisture and Color Sensors Fikri Arif Wicaksana; Trisiani Dewi Hendrawati; Panji Narputro; M Farhan
Journal of Mechatronics and Artificial Intelligence Vol. 3 No. 1 (2026): JMAI: June 2026
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v3i1.135

Abstract

Soil fertility plays an important role in supporting agricultural productivity and sustainable farming practices. Conventional methods for determining soil fertility, such as visual observation of soil color and manual inspection of soil moisture, are often subjective, inefficient, and less accurate. This study proposes an Internet of Things (IoT)-based soil fertility detection system using a soil moisture sensor and a TCS3200 color sensor to provide real-time and objective soil condition monitoring. The system employs a NodeMCU ESP8266 microcontroller for data acquisition and wireless communication. Sensor data are processed using the Mamdani Fuzzy Inference System (FIS) to classify soil fertility into three categories: fertile, moderately fertile, and infertile. The developed system displays monitoring results locally through an OLED display and remotely through Google Spreadsheet integration for real-time observation. Sensor calibration and field testing were conducted using several soil samples with different moisture and color characteristics. Experimental results showed that the soil moisture sensor achieved an average error rate of 1.57%, indicating good measurement accuracy. Furthermore, the fuzzy-based classification successfully identified soil fertility levels according to the measured parameters. The integration of IoT technology and fuzzy logic provides an effective low-cost solution for precision agriculture applications, particularly for small-scale farming environments. The proposed system is expected to assist farmers in monitoring soil conditions more efficiently, accurately, and continuously.
Co-Authors Arif Fikri Wicaksana M Farhan Panji Narputro Samirah Rahayu