Rancang bangun sistem monitoring pendeteksi ph dan suhu air pada aquascape berbasis internet of things

RIZKY, ZAHRA SALSABILLA (2019) Rancang bangun sistem monitoring pendeteksi ph dan suhu air pada aquascape berbasis internet of things. Other thesis, Institut Teknologi Telkom Purwokerto.

Preview	Text ABSTRACT.pdf - Accepted Version Download (85kB) | Preview
Preview	Text ABSTRAK.pdf - Accepted Version Download (84kB) | Preview
	Text COVER.pdf - Accepted Version Download (1MB)
Preview	Text BAB I.pdf - Accepted Version Download (163kB) | Preview
Preview	Text BAB II.pdf - Accepted Version Download (479kB) | Preview
Preview	Text BAB III.pdf - Accepted Version Download (1MB) | Preview
	Text BAB IV.pdf - Accepted Version Restricted to Registered users only Download (707kB)
Preview	Text BAB V.pdf - Accepted Version Download (88kB) | Preview
Preview	Text DAFTAR PUSTAKA.pdf - Accepted Version Download (136kB) | Preview
Preview	Text LAMPIRAN.pdf - Accepted Version Download (3MB) | Preview

Abstract

Aquascape is becoming a new hobby and more sought after because of the level of interest in people towards ornamental water plants more and more. For the cultivation of aquatic plants and ornamental fish, there are some things that need to be considered, namely water acidity and water temperature. So far, aquascape hobbyists still use manual methods. In this final project will make a solution to the control of water conditions using an internet-based pH and temperature sensor that uses Arduino Uno as a microcontroller, the p sensor is used to detect acidity of the water, and the temperature sensor for temperature reading using DS18b20 and NodeMcu ESP8266 as wifi interface to send data to firebase, as well as the MIT App Inventor application as an application used to display on the user smartphone. Testing of each component uses different methods according to the needs of the component. From the results of testing the accuracy of alkaline water pH sensors obtained an average error of 0,09%, pure water an average error error of 1,40%, and acidic water an average error of 5,41%. The results of testing the accuracy of the hot water temperature sensors obtained an average error of 3,23%, an average error of normal water 2,15%, and an average error of cold water 1,27%. Keywords : Aquascape, Internet Of Things, Arduino UNO, NodeMCU

Actions (login required)

View Item