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Pendampingan penerapan teknologi sistem monitoring dan penyiraman berbasis IoT pada budidaya tanaman obat keluarga Sayekti, Ilham; Supriyo, Bambang; Kusumastuti, Sri; Krishna, Bangun; Kartika, Vinda Setya; Utomo, Kusno; Dadi, Dadi; Beta, Samuel; Pramuji, Tulus; Aji, Achmad Fahrul
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 3 No 1 (2022): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v3i1.5616

Abstract

Assistance in the application of IoT-based monitoring and watering system technology in the cultivation of family medicinal plants (Toga) for the PKK group managing the Tosabu garden, Kramas Sub-district, Tembalang District, Semarang, aims to assist park managers, namely the Kramas Village PKK administrator, in caring for and cultivating various types of medicinal plants in a mini greenhouse with an area of 40 m2. Watering plants is a significant problem during the dry season. In addition, the restrictions on activities during the COVID-19 pandemic have also become an obstacle for park managers to take care of plants intensively. This happens because there is no regular system for watering plants due to the busyness of the gardeners. The implementation method in service starts from site surveys and problem inventory, system design and manufacture, installation, training for managers, and evaluation. Technology was designed and built using Arduino Uno and Nodemcu ESP8266 as the central controller and the Blynk application to monitor and control the system using a smartphone. The system is equipped with several sensors, including DHT11 as a temperature and humidity sensor, a soil moisture sensor, and a rain sensor. Twenty-four mini sprinkler sprayer nozzles are used as plant sprinklers installed on each side and top of the greenhouse. The sprinkler and plant monitoring system that has been made has been successfully tested and works well. The plant watering system created can operate automatically using a smartphone and manual operation. The results of the application of this technology can be used by partners and can overcome the problems faced in treating and cultivating family medicinal plants efficiently
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 Sayekti, Ilham; Dadi; Yesitasari, Devi; Faizah; Prabowo, M. Cahyo Ardi; Nursaputro, Septiantar Tebe; Valina, Sheilla Nadia; Sihono; Astuti, Sri; Supriyati; Pramuji, Tulus; Sulistiyo, Wahyu
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.