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Peramalan KB Baru IUD dengan Metode Automatic Clustering and Fuzzy Logical Relationship

Jurnal Biometrika dan Kependudukan · Vol. 6 No. 2 (2018) · hlm. 144–153

DOI
10.20473/jbk.v6i2.2017.144-153
ISSN
2540-8828, 2302-707X
Terbit
2018-10-30
Penerbit
Universitas Airlangga
Bahasa
eng

Abstrak

This research aims for forecasting the number of participants Family Planning (FP) new IUD in East Java in 2017 method using Automatic Clustering And Fuzzy Logic Relationship (ACFLR). Make forecasting for the number of participants FP new IUD in the future important done. Forecasting will support the increase of the number of participants program FP new IUD as emphasized by the Government so that it can be used to take better decisions. Forecasting method of Automatic Clustering And Fuzzy Logical Relationship was chosen because the method has a higher degree of accuracy compared to the classical time series method and fuzzy time series. This study used secondary data recorded in Perwakilan BKKBN East Java in the form of the number of participants KB new IUD in East Java in 2011 to 2016. Based on the research results obtained forecasting the number of participants KB new IUD in 2017 is 65.616 participants with error rate prediction of 0.97% and the percentage increase in the number of participants from the previous year is 0.28%.

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  • Universitas Airlangga
  • State University of Semarang
  • Cenderawasih University
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Rekan penulisOrganisasiArtikel bersama
Chrysoprase Thasya AbihailAfiliasi tidak diketahui3
Mahmudah MahmudahCenderawasih University3
Soenarnatalina MelanianiUniversitas Airlangga2
Trias MahmudionoAfiliasi tidak diketahui2
Nur Anisah RahmawatiAfiliasi tidak diketahui2
Vina Firmanty MustofaAfiliasi tidak diketahui2
Lailatul MunirohAfiliasi tidak diketahui2
Annisa SocadeviaAfiliasi tidak diketahui2
Tamara Nur BudiartiUniversitas Airlangga1
Arina Dery PuspitasariUniversitas Airlangga1
Alfian Nur RosyidUniversitas Airlangga1
Fatimatuz Zahra Oviary SatryoUniversitas Airlangga1
Lily AinaUniversitas Airlangga1
Nanda ArdiantoUniversitas Airlangga1
Melinda Putri Amelia RachmanUniversitas Airlangga1
Fauzul MeilianiUniversitas Airlangga1
Qonita RachmahAfiliasi tidak diketahui1
Susi HidayahAfiliasi tidak diketahui1
Yurike AdhelaAfiliasi tidak diketahui1
Hario MegatsariAfiliasi tidak diketahui1
Edna ElkarimaAfiliasi tidak diketahui1
Dicky Andhyka PriambudiAfiliasi tidak diketahui1
Gunawan Yoga PratamaAfiliasi tidak diketahui1
Eighty Mardiyan KurniawatiAfiliasi tidak diketahui1
Arief WibowoAfiliasi tidak diketahui1
Budi PrasetyoState University of Semarang1
Mahmud Aditya RifqiAfiliasi tidak diketahui1
Septa Indra PuspikawatiUniversitas Airlangga1
Ratna Dwi Puji AstutiAfiliasi tidak diketahui1
Vaidehi UlaganathanAfiliasi tidak diketahui1
Esta Ruri SolechaAfiliasi tidak diketahui1
Kardita Puspa MonitasariAfiliasi tidak diketahui1
Sumartini SumartiniState University of Semarang1
Munfaridah MunfaridahAfiliasi tidak diketahui1
Intan LaraswatiAfiliasi tidak diketahui1
Marius IbanAfiliasi tidak diketahui1
Yuly SulistyoriniAfiliasi tidak diketahui1
Maulidiyatun NafiisahAfiliasi 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://e-journal.unair.ac.id/JBK/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Peramalan KB Baru IUD dengan Metode Automatic Clustering and Fuzzy Logical Relationship</dc:title>
	<dc:creator>Pratama, Yunidar Ayu</dc:creator>
	<dc:creator>Indriani, Diah</dc:creator>
	<dc:subject xml:lang="en-US">forecasting</dc:subject>
	<dc:subject xml:lang="en-US">family planning</dc:subject>
	<dc:subject xml:lang="en-US">IUD</dc:subject>
	<dc:subject xml:lang="en-US">automatic clustering and fuzzy logic relationship</dc:subject>
	<dc:description xml:lang="en-US">This research aims for forecasting the number of participants Family Planning (FP) new IUD in East Java in 2017 method using Automatic Clustering And Fuzzy Logic Relationship (ACFLR). Make forecasting for the number of participants FP new IUD in the future important done. Forecasting will support the increase of the number of participants program FP new IUD as emphasized by the Government so that it can be used to take better decisions. Forecasting method of Automatic Clustering And Fuzzy Logical Relationship was chosen because the method has a higher degree of accuracy compared to the classical time series method and fuzzy time series. This study used secondary data recorded in Perwakilan BKKBN East Java in the form of the number of participants KB new IUD in East Java in 2011 to 2016. Based on the research results obtained forecasting the number of participants KB new IUD in 2017 is 65.616 participants with error rate prediction of 0.97% and the percentage increase in the number of participants from the previous year is 0.28%.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2018-10-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JBK/article/view/4676</dc:identifier>
	<dc:identifier>10.20473/jbk.v6i2.2017.144-153</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Biometrika dan Kependudukan; Vol. 6 No. 2 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN; 144-153</dc:source>
	<dc:source>2540-8828</dc:source>
	<dc:source>2302-707X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JBK/article/view/4676/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Jurnal Biometrika dan Kependudukan</dc:rights>
</oai_dc:dc>