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PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI KOTA AMBON)

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 14 No. 1 (2020) · hlm. 079–090

DOI
10.30598/barekengvol14iss1pp079-090
ISSN
2615-3017, 1978-7227
Terbit
2020-03-01
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng

Abstrak

Increased competitive competition in the economic development of each company engaged in the industry requires the company to win the competition by taking into account the inventory of goods to get the maximum profit. Therefore the planning of the number of products is very important to meet all existing requests. Writing and discussion in this study is the application of the Mamdani Fuzzy Inference System to determine the amount of production based on data on the amount of supply and demand at Cinderela Bread House Factory using the help of Matlab R2017a Software to determine the number of bakery products that must be produced. The application of Mamdani type Fuzzy logic in determining the amount of bread production based on the amount of supply and demand data can assist companies in making decisions with an accuracy value of 90.26633% and an error value of 9.77367%.

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27 penulis · 68 tautan kepenulisan bersama · 7 lintas organisasi

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  • Universitas Pattimura
  • Bandung Institute of Technology
  • Satya Wacana Christian University
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Mozart Winston TalakuaUniversitas Pattimura4
Yopi Andry LesnussaUniversitas Pattimura3
Venn Yan Ishak IlwaruUniversitas Pattimura2
RUDY WOLTER MATAKUPANUniversitas Pattimura1
Monalisa E. RijolyUniversitas Pattimura1
Gresyea L. MarcusUniversitas Pattimura1
Linanda KaileyUniversitas Pattimura1
Dorteus L. RahakbauwUniversitas Pattimura1
Abraham Z. WattimenaUniversitas Pattimura1
Susantri SaputriUniversitas Pattimura1
Lexy Janzen SinayUniversitas Pattimura1
Mirawati I. P. HetharieUniversitas Pattimura1
Salmon Noce AuleleAfiliasi tidak diketahui1
Henry W. M. PattyUniversitas Pattimura1
Natalia KelbulanUniversitas Pattimura1
Royke Yohanes WarellaUniversitas Pattimura1
Yunita Puspita SariUniversitas Pattimura1
Udjianna Sekteria PasaribuBandung Institute of Technology1
Yuli Sri AfriantiBandung Institute of Technology1
Fadhil Hanif SulaimanBandung Institute of Technology1
Grace AngeliaBandung Institute of Technology1
Adi SetiawanSatya Wacana Christian University1
Harmanus BatkundeUniversitas Pattimura1
Nanang T. PuspitoBandung Institute of Technology1

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://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI KOTA AMBON)</dc:title>
	<dc:creator>Sahulata, Elisabeth Rossemary Yunita</dc:creator>
	<dc:creator>Wattimanela, H. J.</dc:creator>
	<dc:creator>Noya Van Delsen, M. S.</dc:creator>
	<dc:description xml:lang="en-US">Increased competitive competition in the economic development of each company engaged in the industry requires the company to win the competition by taking into account the inventory of goods to get the maximum profit. Therefore the planning of the number of products is very important to meet all existing requests. Writing and discussion in this study is the application of the Mamdani Fuzzy Inference System to determine the amount of production based on data on the amount of supply and demand at Cinderela Bread House Factory using the help of Matlab R2017a Software to determine the number of bakery products that must be produced. The application of Mamdani type Fuzzy logic in determining the amount of bread production based on the amount of supply and demand data can assist companies in making decisions with an accuracy value of 90.26633% and an error value of 9.77367%.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2020-03-01</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1300</dc:identifier>
	<dc:identifier>10.30598/barekengvol14iss1pp079-090</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 079-090</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol14iss1year2020</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1300/1434</dc:relation>
</oai_dc:dc>