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Sistem Pendukung Keputusan Diagnosis Penyakit Sapi Potong Menggunakan K-Nearest Neighbour (K-NN)

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 4 No. 2 (2017) · pp. 122–126

DOI
10.25126/jtiik.201742308
ISSN
2528-6579, 2355-7699
Published
2017-05-07
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
en

Abstract

AbstrakIndustri peternakan merupakan salah satu industri yang penting dalam bidang penyediaan nutrisi makanan sehingga pertumbuhan produk ternak bisa menciptakan suatu ancaman kesehatan masyarakat dimana menyebabkan permasalahan kesehatan. Kurangnya pengetahuan peternak sapi potong mengenai berbagai penyakit yang menyerang serta solusi penanganan salah satu alasan memanajemen kesehatan ternak dirasa cukup menyulitkan beberapa peternak. Pengembangan sistem pendukung keputusan yang menggunakan metode K-Nearest Neighbour (K-NN) sebagai metode inferensi untuk mendiagnosis penyakit ini. Data 11 jenis penyakit dapat dikenali oleh sistem pendukung keputusan dan 20 jenis gejala yang dapat dikenali oleh sistem. Hasil pengujian keakuratan 325 data latih dan 11 data uji telah menghasilkan tingkat akurasi 100% dengan nilai k = 3.Kata kunci: penyakit sapi potong, sistem pendukung keputusan, K-Nearest Neighbour AbstractThe livestock industry is one industry that is important in the provision of food nutrients so that the growth of livestock products could create a public health threat which causes health problems. Lack of beef cattle farmers knowledge about the various diseases that attack as well as the handling solutions is one reason s managing animal health are considered difficult for some farmers. The development of decision support systems using K-Nearest Neighbour (K-NN) as an inference method to diagnose this disease. Data 11 types of diseases can be recognized by decision support systems and 20 types of symptoms that can be recognized by the system. Results of testing the accuracy of 325 training data and test data 11 has yielded an accuracy rate of 100% with a value of k = 3.Keywords: cattle cow disease, desicion support system, K-Nearest Neighbour

Collaboration network of the authors

9 authors · 20 co-authorship links

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  • University of Brawijaya
  • Affiliation unknown
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  • Same organisation
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Co-authorOrganisationJoint articles
Imam CholissodinUniversity of Brawijaya3
Tusty Nadia MaghfiraUniversity of Brawijaya3
Wayan Firdaus MahmudyUniversity of Brawijaya1
Agus Wahyu WidodoUniversity of Brawijaya1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Sistem Pendukung Keputusan Diagnosis Penyakit Sapi Potong Menggunakan K-Nearest Neighbour (K-NN)</dc:title>
	<dc:creator xml:lang="en">Kurnianingtyas, Diva</dc:creator>
	<dc:creator xml:lang="en">Rahardian, Brillian Aristyo</dc:creator>
	<dc:creator xml:lang="en">Mahardika, Dyan Putri</dc:creator>
	<dc:creator xml:lang="en">A., Amalia Kartika</dc:creator>
	<dc:creator xml:lang="en">K., Dwi Angraeni</dc:creator>
	<dc:description xml:lang="id">AbstrakIndustri peternakan merupakan salah satu industri yang penting dalam bidang penyediaan nutrisi makanan sehingga pertumbuhan produk ternak bisa menciptakan suatu ancaman kesehatan masyarakat dimana menyebabkan permasalahan kesehatan. Kurangnya pengetahuan peternak sapi potong mengenai berbagai penyakit yang menyerang serta solusi penanganan salah satu alasan  memanajemen kesehatan ternak dirasa cukup menyulitkan beberapa peternak. Pengembangan sistem pendukung keputusan yang menggunakan metode K-Nearest Neighbour (K-NN) sebagai metode inferensi untuk mendiagnosis penyakit ini. Data 11 jenis penyakit dapat dikenali oleh sistem pendukung keputusan dan 20 jenis gejala yang dapat dikenali oleh sistem. Hasil pengujian keakuratan 325 data latih dan 11 data uji telah menghasilkan tingkat akurasi 100% dengan nilai k = 3.Kata kunci: penyakit sapi potong, sistem pendukung keputusan, K-Nearest Neighbour AbstractThe livestock industry is one industry that is important in the provision of food nutrients so that the growth of livestock products could create a public health threat which causes health problems. Lack of beef cattle farmers knowledge about the various diseases that attack as well as the handling solutions is one reason s managing animal health are considered difficult for some farmers. The development of decision support systems using K-Nearest Neighbour (K-NN) as an inference method to diagnose this disease. Data 11 types of diseases can be recognized by decision support systems and 20 types of symptoms that can be recognized by the system. Results of testing the accuracy of 325 training data and test data 11 has yielded an accuracy rate of 100% with a value of k = 3.Keywords: cattle cow disease, desicion support system, K-Nearest Neighbour</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2017-05-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jtiik.ub.ac.id/index.php/jtiik/article/view/308</dc:identifier>
	<dc:identifier>10.25126/jtiik.201742308</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 4 No 2: Juni 2017; 122-126</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 4 No. 2: Juni 2017; 122-126</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201742</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/308/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2017 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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