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Implementation of Expert System to Diagnose Pregnancy Disorders using Fuzzy Expert System Method

Journal of Advances in Information Systems and Technology · Vol. 3 No. 1 (2021) · hlm. 33–42

DOI
10.15294/jaist.v3i1.49093
ISSN
2715-999X, 2714-9714
Terbit
2021-04-14
Penerbit
Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The process of problem analysis can be carried out by a computer system that has included a knowledge base and a set of rules from an expert, known as an expert system. One of the problems that the expert system can solve is to diagnose pregnancy disorders. This study aims to determine how to design an expert system by adopting a doctor's expertise with the fuzzy expert system method. The data used in this study were 46 data obtained from the medical records from Tugurejo Hospital in Semarang City. The variables used were general symptoms and pregnancy disorders. The result of this research is the implementation of the fuzzy expert system to diagnose pregnancy disorders. The level of system accuracy generated from the scenario of 26 data as training data and 20 data as test data is equal to 95%.

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  • State University of Semarang
  • Muria Kudus University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Wahyu HardyantoAfiliasi tidak diketahui5
Novi Ratna DewiState University of Semarang3
Parmin ParminState University of Semarang3
Sugiyanto SugiyantoState University of Semarang2
Siti WahyuniState University of Semarang2
Muhamad Faishol HakimState University of Semarang2
Meidika Bagus SaputroState University of Semarang2
Diah Siti Fatimah AzzahrahState University of Semarang2
Sarwi SarwiState University of Semarang2
Siti MasfuahMuria Kudus University1
Ahmad Azan AkbariState University of Semarang1
Teguh DarsonoAfiliasi tidak diketahui1
Sulhadi SulhadiAfiliasi tidak diketahui1
Endang SugihartiState University of Semarang1
Taufik Fajar MubaroqAfiliasi tidak diketahui1
Riza ArifudinState University of Semarang1
Achmad Wahyu HidayatAfiliasi tidak diketahui1
Dini ShalikhaState University of Semarang1
Sugiarto SugiartoState University of Semarang1
Atik SuryaniState University of Semarang1
Ulva AnggraeniState University of Semarang1
SugiantoAfiliasi tidak diketahui1
Neni Nur AfiaAfiliasi tidak diketahui1
EllianawatiAfiliasi tidak diketahui1
SusantoAfiliasi tidak diketahui1
Langlang HandayaniState University of Semarang1
Ani RusilowatiState University of Semarang1
Eko Mei SugihartoState University of Semarang1
YatmonoState University of Semarang1
Dwi YuliantiState University of Semarang1
Wiyanto -Afiliasi tidak diketahui1
D IsmalarantiState University of Semarang1
Ratna Devi CahyantiState University of Semarang1
Akhmad Nurul Mu’minAfiliasi tidak diketahui1
sunyoto eko nugrohoState University of Semarang1
Vidya Matarani SalmaState University of Semarang1
Emye Tegar HandhitaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/jaist/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-US">Implementation of Expert System to Diagnose Pregnancy Disorders using Fuzzy Expert System Method</dc:title>
	<dc:creator>Putri, Septyana</dc:creator>
	<dc:creator>Alamsyah, Alamsyah</dc:creator>
	<dc:creator>Akhlis, Isa</dc:creator>
	<dc:description xml:lang="en-US">The process of problem analysis can be carried out by a computer system that has included a knowledge base and a set of rules from an expert, known as an expert system. One of the problems that the expert system can solve is to diagnose pregnancy disorders. This study aims to determine how to design an expert system by adopting a doctor's expertise with the fuzzy expert system method. The data used in this study were 46 data obtained from the medical records from Tugurejo Hospital in Semarang City. The variables used were general symptoms and pregnancy disorders. The result of this research is the implementation of the fuzzy expert system to diagnose pregnancy disorders. The level of system accuracy generated from the scenario of 26 data as training data and 20 data as test data is equal to 95%.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang</dc:publisher>
	<dc:date>2021-04-14</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-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/jaist/article/view/49093</dc:identifier>
	<dc:identifier>10.15294/jaist.v3i1.49093</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Advances in Information Systems and Technology; Vol 3 No 1 (2021): April; 33-42</dc:source>
	<dc:source>2715-999X</dc:source>
	<dc:source>2714-9714</dc:source>
	<dc:source>10.15294/jaist.v3i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/jaist/article/view/49093/19792</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Journal of Advances in Information Systems and Technology</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>