TEMPERATURE AND HUMIDITY CLASSIFICATION USING NAIVE BAYES ALGORITHM WITH DHT22 SENSOR

CAHYAJAYA, JAP YOSIA WINNER (2018) TEMPERATURE AND HUMIDITY CLASSIFICATION USING NAIVE BAYES ALGORITHM WITH DHT22 SENSOR. Other thesis, Unika Soegijapranata Semarang.

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Abstract

ABSTRACT Now, weather conditions can change over time, weather is affected by temperature and humidity. Weather research is needed to know and prepare in case of weather anomalies. Weather research can be done with temperature and humidity sensors DHT22. Temperature and humidity data that has been obtained can be processed with data classification techniques to get a conclusion. The classification of temperature and humidity can be solved by the Data Mining method, using the Naive Bayes algorithm. Final conclusions can be made in table form and weather predictions are very possible to do so preparations for the upcoming weather can be well prepared. Keyword: DHT22, Data Mining, Naive Bayes, weather prediction

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	Mr Lucius Oentoeng
Date Deposited:	21 Jun 2018 04:26
Last Modified:	19 Jan 2021 06:11
URI:	http://repository.unika.ac.id/id/eprint/16181

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