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KOMUNIKASI BERBASIS ESP32 PADA MONITORING DATA LINGKUNGAN DAN DATA INERSIA DARI BANYAK NODE KE SATU NODE

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Penilaian

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The objective of this environmental data monitoring project and inertia from multiple nodes to one node is monitoring environmental data to obtain real time data regarding changes in air temperature, humidity, air pressure, and moment of inertia. With 3 senders that send data to 1 receiver. The benefits obtained from making environmental data monitoring tools and inertia data is that in environmental monitoring, monitoring is usually carried out in order to produce the right data as an element of analysis of an observation with communication from many nodes to one node, all sensor nodes in the system send data to one final sink node destination. To design this tool, software and hardware that support it are needed, such as the Arduino IDE, DHT11, BME280, ESP32, MPU6050, and ThingSpeak which function as message sending and receiving tools. The results of the research that have been carried out, it is concluded that the temperature sensor has an average error of 1,610% with an average ThingSpeak accuracy of 98.90%. The DHT11 sensor has a wider relative error range of 17% in temperature measurements and 11.35% in humidity measurements. The BME280 sensor can measure relative humidity from 0 to 100% with an accuracy of ± 3%, barometric pressure from 300Pa to 1100 hPa with an absolute accuracy of ± 1 hPa, and at temperatures from -40 ° C to 85 ° C with an accuracy of 1.0 ° C . The MPU6050 sensor is very sensitive to vibrations which causes the value to change easily if only 1 ° is shifted. The existence of these vibrations is due to factors, such as the sensor being unstable, and environmental factors, such as being blown by the wind.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000035	T38510	T385102020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T385102020

Publisher

Inderalaya : Prodi Teknik Komputer, Fakultas Ilmu Komputer Universitas Srwijaya., 2020

Collation

xvi, 48 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.

Content Type

Text

Media Type

other

Carrier Type

-

Edition

-

Subject(s)

Teknik komputer

Specific Detail Info

-

Statement of Responsibility

NO

Other version/related

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