MONITORING DAN PENGENDALIAN SMART AGRICULTURE BERBASIS INTERNET OF THINGS DENGAN METODE FUZZY LOGIC CONTROL

LESI, ERDA JULIAN and Stiawan, Deris and Heryanto, Ahmad (2019) MONITORING DAN PENGENDALIAN SMART AGRICULTURE BERBASIS INTERNET OF THINGS DENGAN METODE FUZZY LOGIC CONTROL. Undergraduate thesis, Sriwijaya University.

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Abstract

Watering plants is work done and still done manually. To request that watering run optimally needs to be done, so that verified plants do not need to spend the costs incurred for plants. Factors that influence watering plants are soil moisture and temperature because evaporation of air temperature affects the level of soil moisture. Monitoring is done using the Internet of Things concept with the Thingspeak platform, automatic watering of plants is made using the fuzzy logic control method. DHT22 sensor as a temperature and humidity sensor, sensor Soil Moisture YL-69 as a soil moisture sensor and light sensor BH1750 as a light intensity sensor. From the tests conducted, the feasibility of the DHT22 sensor is 98.6%, the soil moisture sensor is 98.2% and the BH1750 sensor is able to read values up to 13.582 lx. Showing the fan is able to reduce the air temperature and increase the air temperature after 31 minutes, this automatic watering system can increase soil moisture in just one minute. Website runs well, can display accurate display the data within 1 minute in graphical form and user can be downloaded in CSV form and accessed in the ThingsView application from a smartphone.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Smart Agriculture, Internet Of Things, Fuzzy Logic Control
Subjects: T Technology > T Technology (General) > T10.5-11.9 Communication of technical information
T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Erda Julian Lesi
Date Deposited: 30 Jul 2019 03:53
Last Modified: 30 Jul 2019 03:53
URI: http://repository.unsri.ac.id/id/eprint/1177

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