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IDENTIFICATION CLASSIFICATION OF SATISFACTION USE OF CONTRA WAR APPLICATION IN PLKB BASED ON DECISION TREE

Publication Date : 23/07/2018


DOI : 10.21884/IJMTER.2018.5179.R69CY

Author(s) :

Mursyidul Ibad , Hari Basuki Notobroto , Diah Indriani.


Volume/Issue :
Volume 5
,
Issue 7
(07 - 2018)



Abstract :

The advancement of science and technology will bring great influence on various fields. Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) is a problem that Indonesia is facing. Maternal deaths were caused by bleeding (28%), hypertension / eclampsia (24%), infection (11%), old partus (16%) and uncomplicated abortion (10%). Steps taken to cope with early detection of prospective mothers who will either have a baby or not have a baby plan. The program proposed in 2015 is the use of Contraceptive for Women at Risk application or commonly abbreviated as CONTRA WAR. This research uses cross sectional design, with design using Artifical Intellegence (AI). Research respondents used all Family Planning Field Officers in Malang Regency as many as 98 people. The result is there is a final node (End Node) 21 pieces with 8 dissatisfied, 12 satisfied and 1 very satisfied. Accuracy of 89.1% with P-Value 0,002765 and Kappa 0,717900. The sensitivity was 94.9% and the specificity was 79.2% at the satisfied level.


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IDENTIFICATION CLASSIFICATION OF SATISFACTION USE OF CONTRA WAR APPLICATION IN PLKB BASED ON DECISION TREE

July 10, 2018