KLASIFIKASI PRE-EKLAMPSIA ATAU TIDAK PRE-EKLAMPSIA PADA IBU HAMIL MENGGUNAKAN METODE NAIVE BAYES (Studi Kasus di Rumah Sakit Muhammadiyah Palembang)
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/4137/</relation><title>KLASIFIKASI PRE-EKLAMPSIA ATAU TIDAK PRE-EKLAMPSIA PADA IBU HAMIL MENGGUNAKAN METODE NAIVE BAYES (Studi Kasus di Rumah Sakit Muhammadiyah Palembang)</title><creator>BUDIANTO, AGUS</creator><creator>Desiani, Anita</creator><creator>Maiyanti, Sri Indra</creator><subject>QA1-939 Mathematics</subject><subject>QA75 Electronic computers. Computer science</subject><subject>QA76 Computer software</subject><description>Pre-eclampsia is a high blood pressure syndrome characterized by a rise in the levels of protein in the urine (proteinuria), and swelling in the limbs (edema) of pregnant women. Research on the part of the hospital's obstetrics and Gynecology Muhamadyah Palembang done by Erika (2015) shows that out of 350 expectant mothers, as many as 154 maternity experience pre-eclampsia and 196 of pregnant women do not experience a pre-eclampsia. On the research of the noted attributes the condition of pregnant women associated with age, parity, and a history of Antenatal Care (ANC), but did not see the relationships between the attributes that are able to classify the condition pre-eclampsia and not a pre-eclampsia on the expectant mother. This research will look at the relationship between age, parity, and a history of Antenatal Care (ANC) on pregnant women to classify the condition of the pre-eclampsia and not pre-eclampsia of pregnant women using Naive Bayes method. To see the performance of Naive Bayes this study uses two methods of training and testing that is with the method of K-fold cross-validation and percentage split.The results of the two, obtained average value of accuracy namely of 73.8235% which indicates that Naive Bayes is good enough used to predict conditions pre-eclampsia and not pre-eclampsia on pregnant women. The result value of the precision of 67.2441% for pre-eclampsia and 78.3953% not pre-eclampsia, meaning that the level of accuracy calling of the data on the not pre-eclampsia class by Naive Bayes is better than with the pre-eclampsia class. The result value of the recall on pre-eclampsia is 68.1893% and not pre-eclampsia is 77.7043%, meaning that the success rate calling the return data by Naive Bayes on not pre-eclampsia class better than pre-eclampsia class.</description><date>2018-07-19</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/1/RAMA_44201_08011181320015_0011127702_0004077205_01_front_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/2/RAMA_44201_08011181320015_0011127702_0004077205_02.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/3/RAMA_44201_08011181320015_0011127702_0004077205_03.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/4/RAMA_44201_08011181320015_0011127702_0004077205_04.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/5/RAMA_44201_08011181320015_0011127702_0004077205_05.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/4137/6/RAMA_44201_08011181320015_0011127702_0004077205_06_ref.pdf</identifier><identifier> BUDIANTO, AGUS and Desiani, Anita and Maiyanti, Sri Indra (2018) KLASIFIKASI PRE-EKLAMPSIA ATAU TIDAK PRE-EKLAMPSIA PADA IBU HAMIL MENGGUNAKAN METODE NAIVE BAYES (Studi Kasus di Rumah Sakit Muhammadiyah Palembang). Undergraduate thesis, Sriwijaya University. </identifier><recordID>4137</recordID></dc>
|
| language |
ind |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
BUDIANTO, AGUS Desiani, Anita Maiyanti, Sri Indra |
| title |
KLASIFIKASI PRE-EKLAMPSIA ATAU TIDAK PRE-EKLAMPSIA PADA IBU HAMIL MENGGUNAKAN METODE NAIVE BAYES (Studi Kasus di Rumah Sakit Muhammadiyah Palembang) |
| publishDate |
2018 |
| isbn |
0801118132001 |
| topic |
QA1-939 Mathematics QA75 Electronic computers. Computer science QA76 Computer software |
| url |
http://repository.unsri.ac.id/4137/1/RAMA_44201_08011181320015_0011127702_0004077205_01_front_ref.pdf http://repository.unsri.ac.id/4137/2/RAMA_44201_08011181320015_0011127702_0004077205_02.pdf http://repository.unsri.ac.id/4137/3/RAMA_44201_08011181320015_0011127702_0004077205_03.pdf http://repository.unsri.ac.id/4137/4/RAMA_44201_08011181320015_0011127702_0004077205_04.pdf http://repository.unsri.ac.id/4137/5/RAMA_44201_08011181320015_0011127702_0004077205_05.pdf http://repository.unsri.ac.id/4137/6/RAMA_44201_08011181320015_0011127702_0004077205_06_ref.pdf http://repository.unsri.ac.id/4137/ |
| contents |
Pre-eclampsia is a high blood pressure syndrome characterized by a rise in the levels of protein in the urine (proteinuria), and swelling in the limbs (edema) of pregnant women. Research on the part of the hospital's obstetrics and Gynecology Muhamadyah Palembang done by Erika (2015) shows that out of 350 expectant mothers, as many as 154 maternity experience pre-eclampsia and 196 of pregnant women do not experience a pre-eclampsia. On the research of the noted attributes the condition of pregnant women associated with age, parity, and a history of Antenatal Care (ANC), but did not see the relationships between the attributes that are able to classify the condition pre-eclampsia and not a pre-eclampsia on the expectant mother. This research will look at the relationship between age, parity, and a history of Antenatal Care (ANC) on pregnant women to classify the condition of the pre-eclampsia and not pre-eclampsia of pregnant women using Naive Bayes method. To see the performance of Naive Bayes this study uses two methods of training and testing that is with the method of K-fold cross-validation and percentage split.The results of the two, obtained average value of accuracy namely of 73.8235% which indicates that Naive Bayes is good enough used to predict conditions pre-eclampsia and not pre-eclampsia on pregnant women. The result value of the precision of 67.2441% for pre-eclampsia and 78.3953% not pre-eclampsia, meaning that the level of accuracy calling of the data on the not pre-eclampsia class by Naive Bayes is better than with the pre-eclampsia class. The result value of the recall on pre-eclampsia is 68.1893% and not pre-eclampsia is 77.7043%, meaning that the success rate calling the return data by Naive Bayes on not pre-eclampsia class better than pre-eclampsia class. |
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Universitas Sriwijaya |
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UPT Perpustakaan Universitas Sriwijaya |
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Sriwijaya University Institutional Repository |
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OGAN ILIR |
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SUMATERA SELATAN |
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2020-03-23T07:55:33Z |
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17.611816 |