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All Journal Informatics for Educators and Professional : Journal of Informatics JURNAL SIMTIKA (Sistem Informasi dan Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) bit-Tech Innovative: Journal Of Social Science Research Journal of Innovative and Creativity
Heri Sudibyo
Universitas Dharmas Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : bit-Tech

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Prototype of Monitoring and Controlling Rice Field Irrigation Based on Internet of Things Heri Sudibyo; Asril; Andrey Eka Rahman Sidiq
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2826

Abstract

The advancement of Internet of Things (IoT) technology has significantly impacted various sectors, including agriculture, by enabling automation and real-time monitoring. In rice farming, one persistent challenge is the reliance on manual irrigation, which often results in water waste, increased labor demands, and reduced crop yields due to delayed or inconsistent water management. This research aims to design and implement a prototype IoT-based irrigation system to address these inefficiencies. The proposed system allows farmers to remotely monitor and control water flow using a smartphone via the Telegram messaging application. Telegram is chosen for its ubiquity, cross-platform compatibility, and ease of use, making it accessible to farmers without specialized technical skills. The system uses an ESP32 microcontroller as the core processor, an HC-SR04 ultrasonic sensor to detect water levels, and an SG90 servo motor to automate the sluice gate mechanism. A 16x2 LCD is integrated for real-time field display. Telegram enables interactive control through command inputs (e.g., opening and closing gates) and automated notifications, providing continuous status updates. The system operates autonomously based on preset water level thresholds but also supports manual override. Testing results show that the system is responsive and accurate (within ±1 cm), and it significantly reduces the need for frequent field visits. This solution enhances irrigation precision, reduces labor, and contributes to better water resource management. By integrating commonly available digital tools with low-cost hardware, the prototype offers a practical and scalable solution for improving agricultural productivity, especially in remote rural areas.
Development of an Automatic Clothesline System Based on Weather Sensors and Telegram Notification Hanifan Budi Kustiawan; Heri Sudibyo; Dwi Winarti
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2900

Abstract

Unpredictable weather conditions often cause outdoor laundry to become wet again, requiring constant manual monitoring. This study presents the design and development of an Internet of Things (IoT)-based automatic clothes drying system that responds to real-time environmental changes and offers remote control via the Telegram application. The system employs an ESP32 microcontroller integrated with a rain sensor, a DHT22 humidity sensor, and an LDR light sensor. Sensor data is processed in real time using predefined threshold values: when rain is detected, humidity exceeds 26%, or light intensity rises above 3500 lux, the ESP32 triggers a servo motor to retract the clothesline. Conversely, in dry and bright conditions (humidity < 25%, light < 3400 lux), the system extends the clothesline. A servo motor is used as the actuator to retract or extend the drying rack. A Telegram Bot is also integrated to deliver real-time notifications and accept manual commands such as /masuk, /keluar, and /status. The development method follows a prototyping approach that includes requirement analysis, hardware-software integration, and system evaluation. Experimental results show that the system achieved over 95% accuracy in detecting environmental changes and responded within 2–3 seconds to commands and sensor triggers. The combination of sensor automation and interactive Telegram control demonstrates reliability and flexibility in smart-home applications. In conclusion, the proposed system provides an effective and user-friendly solution for managing outdoor laundry in variable weather conditions, with promising potential for future enhancements in IoT-based household automation.
Co-Authors Andrey Eka Rahman Sidiq Asril Asril dwi winarti winarti Efendi, Raimon Efri Yandani Hanifan Budi Kustiawan M.Bahrul Ulum Raimon Effendi Rizky Amanda Sepri Rahmat Pratama Sinta Nur Aisyah