(Peer Review + Similarity + Document) Prototype Smart Instrument Untuk Klasifikasi Penyakit Hipertensi Berdasarkan JNC-7

Irawan, Dudi (2017) (Peer Review + Similarity + Document) Prototype Smart Instrument Untuk Klasifikasi Penyakit Hipertensi Berdasarkan JNC-7. J-TIT Jurnal Tekonologi Informatika dan Terapan.

	Text Jurnal dan Cover Artikel.pdf Download (2MB)
	Text Peer Review Dudi New20211108.pdf Download (461kB)
	Text Plagiasi PROTOTYPE SMART INSTRUMENT UNTUK KLASIFIKASI PENYAKIT HIPERTENSI BERDASARKAN JNC-7.pdf Download (2MB)

Abstract

High blood disease or famous to known as hypertension almost 95% the cause is very difficult to know. One
way to know the condition of our health is by checking routine to the nearest clinic or hospital. Hypertension is
one of the risk factors for dangerous diseases, such as stroke, heart attack, and kidney failure. Hypertension can
cause high morbidity (pain) and mortality (death), hypertension is often called silent killer disease. People with
Hypertension rarely show early symptoms, and their recognition is usually through screening, or when seeking
medical treatment for unrelated health problems. The cause factors of hypertension include weight and height,
body fat, and alcohol levels inside of body. To know the condition of body to hypertension need a monitoring
system and use tool tensimeter. In this research has been made the means of detecting factor symptoms of
hypertension. After the measurements are done by each sensor then the data is processed by Arduino
Microcontroller to be processed to computer via serial port (USB). On the computer data that has been sent will
be processed using decision tables with databases obtained from experts, the resultin a decision will give
classification of hypertension and non-pharmacological management.

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Item Type:	Peer Review
Subjects:	600 Technology and Applied Science
Divisions:	Faculty of Engineering > Department of Informatics Engineering (S1)
Depositing User:	Novan Agung | novanagung8@unmuhjember.ac.id
Date Deposited:	19 Jan 2021 01:24
Last Modified:	08 Nov 2021 07:32
URI:	http://repository.unmuhjember.ac.id/id/eprint/7930

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