RANCANG BANGUN HIDROPONIK TANAMAN PAPRIKA DENGAN DRIP SYSTEM BERBASIS INTERNET OF THINGS

Main Article Content

Kadek Teguh Purwanto Gede Sukadarmika D.M. .Wiharta

Abstract

Technological advances have been utilized in various fields, including in agriculture.
The technology that is currently widely used is the Internet of Things (IoT). With this technology,
farmers can monitor and control remotely so that their work becomes more efficient and optimal.
In this study, a control and monitor system was developed for paprika hydroponics. This system
was built using a Rasberry Pi as a data processing center equipped with Arduino uno as an
analog data reader and relay control, a DS18B20 sensor as a water temperature reader, a pH
4502C sensor as a water acidity reader, and a TDS/EC sensor as a water nutrient ppm value
reader. This system is realized in the form of a prototype system for hydroponic paprika. The
system works automatically to monitor and control water temperature, water pH, nutrient ppm
value, water level and automatic watering. The system is also equipped with a notification
feature so that farmers can obtain information via telegram media such as water temperature,
water pH, nutrient ppm value, water level, and watering notifications. This prototype is also
equipped with a webcam camera as a feature that functions to detect ripe peppers in terms of
fruit color. The camera will detect the color of the peppers, and if the peppers are red, the
peppers are categorized as ripe, and farmers will receive notifications via telegram in the form
of image data and notifications that ripe peppers have been detected.

Downloads

Download data is not yet available.

Article Details

How to Cite
TEGUH PURWANTO, Kadek; SUKADARMIKA, Gede; .WIHARTA, D.M.. RANCANG BANGUN HIDROPONIK TANAMAN PAPRIKA DENGAN DRIP SYSTEM BERBASIS INTERNET OF THINGS. Jurnal SPEKTRUM, [S.l.], v. 8, n. 4, p. 193-199, jan. 2022. ISSN 2684-9186. Available at: <https://ojs.unud.ac.id/index.php/spektrum/article/view/85409>. Date accessed: 22 nov. 2024. doi: https://doi.org/10.24843/SPEKTRUM.2021.v08.i04.p22.
Section
Articles

Most read articles by the same author(s)

1 2 3 > >>