DIAGNOSIS PENYAKIT PREEKLAMPSIA PADA IBU HAMIL BERDASARKAN ALGORITME CART

Safitri, Nur Maya Bella (2019) DIAGNOSIS PENYAKIT PREEKLAMPSIA PADA IBU HAMIL BERDASARKAN ALGORITME CART. Other thesis, Universitas Amikom Purwokerto.

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Abstract

Preeclampsia is a hypertensive disease in pregnancy. Preeclampsia is characterized by hypertension (blood pressure systole ≥ 140 mmhg or diastol blood pressure ≥ 90 mmhg) accompanied proteinuria (≥ 300 mg/dl in the urine in 24 hours) at the age of pregnancy more than 20 weeks or immediately after childbirth. Many factors that affect the occurrence of this preeclampsia cause laypeople very difficult in the process of diagnosis of symptoms of preeclampsia disease in pregnant mothers who are affected by eclampsia. To provide ease in the process of diagnosis in the field of health, especially eclampsia, this encourages the number of research in the field of health using computer-based methods. One of the methods used in diagnosing is using data mining. The algorithm used is the CART algorithm to calculate the value of accuracy by using datasets derived from the data of pregnant mothers of Banyumas and Purbalingga. The results of this research with CART algorithm obtained accuracy results of 99.09%. It can therefore be concluded that the CART algorithm can produce high accuracy.

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Tri Astuti, S.Kom, M.Eng
Uncontrolled Keywords: Preeclampsia, data mining, CART algorithm.
Subjects: R Medicine > R Medicine (General)
R Medicine > RB Pathology
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 05 Nov 2020 04:14
Last Modified: 05 Nov 2020 04:14
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/357

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