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Prediksi Harapan Hidup Pasien Penderita Hepatitis B Menggunakan Classification and Regression Trees

JUSS (Jurnal Sains dan Sistem Informasi) · Vol. 1 No. 2 (2018) · hlm. 7–12

DOI
10.22437/juss.v1i2.5888
ISSN
2614-8277
Terbit
2018-12-21
Penerbit
Prodi Sistem Informasi FST Universitas Jambi
Bahasa
en

Abstrak

Data mining is the two words that are familiar are heard by some people. In the world of business data mining is often utilized to support the company's business strategies or formulate. Not only in business, data mining is also utilized in various other areas of education, agriculture, animal husbandry, and medicine. This research was conducted in the classification of the patient sufferer hepatisis B use classification and refression trees (CART) to generate a decision tree that can be implemented to predict the life expectancy of the patient sufferer hepatitis B. After doing this research, produced a decision tree with 93.6% prediction accuracy.

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27 penulis · 68 tautan kepenulisan bersama · 6 lintas organisasi

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  • Universitas Jambi
  • National Research and Innovation Agency
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Rekan penulisOrganisasiArtikel bersama
Tri SuratnoUniversitas Jambi3
Pradita Eko Prasetyo UtomoUniversitas Jambi3
Daniel ArsaUniversitas Jambi2
Notasonda Soni PutraUniversitas Jambi1
Benedika Ferdian HutabaratUniversitas Jambi1
Andre Ilham SaputraAfiliasi tidak diketahui1
Indra WeniUniversitas Jambi1
Mutia Fadhila PutriUniversitas Jambi1
Shally YanovaUniversitas Jambi1
Tesa Ananda PutriUniversitas Jambi1
Indryani IndryaniUniversitas Jambi1
Akhmad Fikri RosyadiUniversitas Jambi1
Rizqa Raaiqa BintanaUniversitas Jambi1
Reni AryaniUniversitas Jambi1
Dewi LestariNational Research and Innovation Agency1
Pikir Claudia Septiani GuloUniversitas Jambi1
Manaar ManaarAfiliasi tidak diketahui1
Yolla NoverinaAfiliasi tidak diketahui1
REGI MUKLIS SUBEKTIAfiliasi tidak diketahui1
Danish Wiedi Marchello SandiAfiliasi tidak diketahui1
Nabila AnugradiaUniversitas Jambi1

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/JUSS/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Prediksi Harapan Hidup Pasien Penderita Hepatitis B Menggunakan Classification and Regression Trees</dc:title>
	<dc:creator xml:lang="en">Saparudin, Ahmad</dc:creator>
	<dc:creator xml:lang="en">Maulidina, Tiya</dc:creator>
	<dc:creator xml:lang="en">Naufal Fikri, Muqsith</dc:creator>
	<dc:creator xml:lang="en">Sumarlin, Doli</dc:creator>
	<dc:creator xml:lang="en">Wahyudi, Irvan</dc:creator>
	<dc:creator xml:lang="en">Khaira, Ulfa</dc:creator>
	<dc:description xml:lang="en">Data mining is the two words that are familiar are heard by some people. In the world of business data mining is often utilized to support the company's business strategies or formulate. Not only in business, data mining is also utilized in various other areas of education, agriculture, animal husbandry, and medicine. This research was conducted in the classification of the patient sufferer hepatisis B use classification and refression trees (CART) to generate a decision tree that can be implemented to predict the life expectancy of the patient sufferer hepatitis B. After doing this research, produced a decision tree with 93.6% prediction accuracy.</dc:description>
	<dc:publisher xml:lang="en">Prodi Sistem Informasi FST Universitas Jambi</dc:publisher>
	<dc:date>2018-12-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/JUSS/article/view/5888</dc:identifier>
	<dc:identifier>10.22437/juss.v1i2.5888</dc:identifier>
	<dc:source xml:lang="en">JUSS (Jurnal Sains dan Sistem Informasi); Vol. 1 No. 2 (2018): Jurnal Sains dan Sistem Informasi; 7-12</dc:source>
	<dc:source>2614-8277</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JUSS/article/view/5888/9184</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2018 JUSS (Jurnal Sains dan Sistem Informasi)</dc:rights>
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