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All Journal BANGUN REKAPRIMA Journal of Applied Information, Communication and Technology (JAICT)
Sihono
Politeknik Negeri Semarang
Humanities Civil Engineering, Building, Construction & Architecture Education Engineering Other

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PENERAPAN TEKNOLOGI PENYIRAM TANAMAN BERBASIS IoT DENGAN SENSOR pH DAN PPM DILENGKAPI DENGAN GOOGLE ASSISTANT UNTUK PETANI DESA BEBENGAN KABUPATEN KENDAL: PENERAPAN TEKNOLOGI PENYIRAM TANAMAN BERBASIS IoT DENGAN SENSOR pH DAN PPM DILENGKAPI DENGAN GOOGLE ASSISTANT UNTUK PETANI DESA BEBENGAN KABUPATEN KENDAL Ilham Sayekti; Dadi; Devi Yesitasari; Faizah; M. Cahyo Ardi Prabowo; Septiantar Tebe Nursaputro; Sheilla Nadia Valina; Sihono; Sri Astuti; Supriyati; Tulus Pramuji; Wahyu Sulistiyo
Bangun Rekaprima Vol. 12 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v12i1.7622

Abstract

Vegetable farmers in Bebengan Village, Kendal Regency, still mostly water their crops manually, resulting in inefficient water usage and inconsistent watering timing. Additionally, the water quality for irrigation has not been monitored regularly, even though pH and PPM parameters affect nutrient availability and plant growth. This service activity aims to implement an Internet of Things (IoT)-based automatic plant watering technology that can monitor pH and PPM and provide easy control through Google Assistant. The implementation methods include observing partner needs, designing and assembling an Arduino ATmega 2560 and ESP8266-based system with pH and PPM sensors, installing it on a 200 m² cultivation area, integrating remote monitoring and control, and training farmers on operating and maintaining the equipment. Implementing the system allows for more scheduled/controlled watering and provides real-time pH and PPM information as a basis for decision-making. In conclusion, the implementation of this IoT system improves the effectiveness of the watering process, supports water quality monitoring, and simplifies operations through voice-based control, thus potentially increasing cultivation efficiency at the farmer level.
An IoT-Based Monitoring and Control System for Chrysanthemum Cultivation Elva Puspita Wardani; Muhammad Ajik Al Khusain; Sri Kusumastuti; Sihono
JAICT Vol. 11 No. 02 (2025): JAICT
Publisher : Politeknik Negeri Semarang

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Abstract

Chrysanthemum cultivation in greenhouse environments requires stable control of environmental conditions, particularly air temperature, light intensity, and soil moisture, to ensure optimal plant growth. However, conventional manual monitoring and control methods still face limitations in terms of efficiency and accuracy. This study aims to design and implement an Internet of Things (IoT)-based monitoring and control system for chrysanthemum cultivation using the NodeMCU ESP8266 microcontroller. The system is equipped with a DHT22 sensor for air temperature, a BH1750 sensor for light intensity, and a capacitive soil moisture sensor v2. Measurement data are transmitted in real time to a Firebase Realtime Database and displayed through the ChrysoSmart mobile application, which supports both automatic and manual operating modes. System testing was conducted directly in a chrysanthemum greenhouse to evaluate sensor performance, actuator operation, and data communication stability. The test results indicate that the system is capable of real-time monitoring and control of greenhouse environmental conditions, with average sensor errors of 0.99% for temperature, 1.11% for light intensity, and 2.96% for soil moisture. The actuators, including a water pump, lighting system, and exhaust fan, operated properly according to system logic and user commands. Therefore, the ChrysoSmart system is considered feasible and effective for supporting automated and remote environmental management in chrysanthemum greenhouse cultivation.
Co-Authors Dadi Devi Yesitasari Elva Puspita Wardani Faizah Ilham Sayekti M. Cahyo Ardi Prabowo Muhammad Ajik Al Khusain Septiantar Tebe Nursaputro Sheilla Nadia Valina Sri Astuti Sri Kusumastuti Supriyati Tulus Pramuji Wahyu Sulistiyo