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All Journal Jurnal Akuakultur Indonesia Agrikultura Jurnal Perikanan dan Kelautan BIOTROPIA - The Southeast Asian Journal of Tropical Biology CAUCHY: Jurnal Matematika Murni dan Aplikasi OCTOPUS : Jurnal Ilmu Perikanan Science and Technology Indonesia Acta Aquatica: Aquatic Sciences Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer INSIST (International Series on Interdisciplinary Research) Asian Journal of Agriculture Jurnal ABDINUS : Jurnal Pengabdian Nusantara PAPALELE : Jurnal Penelitian Sosial Ekonomi Perikanan dan Kelautan Jurnal Abdi Insani Jurnal Pari Al-Ittishol : Jurnal Komunikasi dan Penyiaran Islam Jurnal Media Akuakultur Indonesia Jurnal Kolaboratif Sains Journal of Indonesian Islamic Studies Pattimura International Journal of Mathematics (PIJMath) Journal of Fish Health Jurnal Pepadu Journal of Fish Nutrition Jurnal Ruaya : Jurnal Penelitian dan Kajian Ilmu Perikanan dan Kelautan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Aceh Journal of Animal Science Farmers: Journal of Community Services Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Kajian Budaya dan Humaniora (JKBH) Jurnal Perikanan dan Kelautan Jurnal Perikanan JARI : Jurnal Akuakultur Rawa Indonesia Al-kayyis: Journal of Islamic Education
Yuli Andriani
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Journal : Pattimura International Journal of Mathematics (PIJMath)

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Comparison of Support Vector Machine and K-Nearest Neighbors in Breast Cancer Classification Desiani, Anita; Lestari, Adinda Ayu; Al-Ariq, M; Amran, Ali; Andriani, Yuli
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 1 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.745 KB) | DOI: 10.30598/pijmathvol1iss1pp33-42

Abstract

Cancer is one of the leading causes of death, and breast cancer is the second leading cause of cancer death in women. One method to realize the level of malignancy of breast cancer from an early age is by classifying the cancer malignancy using data mining. One of the widely used data mining methods with a good level of accuracy is the Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Evaluation techniques of percentage split and cross-validation were used to evaluate and compare the SVM and KNN classification models. The result was that the accuracy level of the SVM classification method was better than the KNN classification method when using the cross-validation technique, which is 95,7081%. Meanwhile, the KNN classification method was better than the SVM classification method when using the percentage split technique, which is 95,4220%. From the comparison results, it can be seen that the KNN and SVM methods work well in the classification of breast cancer.
Co-Authors Adinda Ayu Lestari, Adinda Ayu Afisha, Fauziyah Nur Aisyah Aisyah . Aisyah Aisyah Al-Ariq, M Aldiansyah, Kevin Alfriani, Ranti Dwi Ali Amran Amelia, Fadilah Anando, Drian Alif Angga Dwi Cahya Anita Desiani Annisa Nabila, Annisa Ansori, Muhammad Rifat Armadila Armadila Atikah Nurhayati Aulia, Halyda Aulia, Renita Ayi Yustiati Balqis, Rahma Bambang Suprihatin Bussalam, Rajib Cahya, Muhamad Dwi Chotimah, Liana Chusnul Dafrizal, Dafrizal Darmawan, Mochamad Reza Darmawan, Reza Dewi, Deshinta Arrova Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Faizal, Ibnu Fajarwati, Mayapada Fatalattof. A, Ammar Filardi, Tara Fittrie Meyllianawaty Pratiwy Gusmanedi, Randa Hafel, Aulia Putri Kapsari Handaka, Asep Agus Heti Herawati Hutapea, Anggi Adrian Ibnu Dwi Buwono Iis Rostini Ilhampradja, Habibi Ilyasa, Muhamad Diaz In-In Hanidah Indra Maiyanti, Sri Indrawati Indrawati Ine Maulina Intan Pratama, Rusky Irmeilyana Iskandar Iskandar Iwang Gumilar Juwita, Indah Permata Khairul, Mohd. Kiki Haetami Kurnia, M Kahfi Aldi Lestari, Vira Maharani, Annisa Nur Maharani, Zahra Egidita Marchelin, Shefia Maria Agustin Marselina, Nyanyu Chika Maudy, Gitri Mega Laksmini Syamsuddin Meyllianawaty Pratiwy, Fittrie Mia Miranti Rustama Millatina, Nabilah Sani MS, Yuniarti Muhamad Fatah Wiyatna Mumtaz, Amalia Muzayyadah, Fathona Nur Novaliana, Rona Nieki Nugraha, Yoga Nugraha, Zidan Fachriza Adya Nugroho, Agung Meidito NUNI GOFAR Nurinsani, Rizka Amalia Prameswari, Rhiana Prananda, Rizky Prasetiawan, Nanda Radhitia Pratiwi, Ananda Ramadani, Diah Putri Rasyid, Raffael Muhammad Sabili Ratih, Ai Ratu Safitri Rihadatul Nabila, Shela RISDIANA RISDIANA, RISDIANA Rusky I. Pratama Rusky Intan Pratama Salsabila, Aulia Saputra, Arya Bayu Ega Sartikasari, Dewi Astuti Shinta Shinta Shobihah, Hasna Nabila Sisca Octarina Sugandhy, Rioaldi Sunendi, Sunendi Supani, Ahyar Surahman, Mohammad Badai Putra Suripto, Auliya Syarifuddin, Fauzi Yusuf Taufanputri, Melati Thallita Nasywa Faddilah Tiara Nurul Nabila Titin Herawati Tubagus Aldi Lazuardi Ujang Subhan Walim Lili Wulandari, Deswita Khansa Yuliana Farahita Yuniar Mulyani Yusmar, Fathan Ahmad Yustianti, Ayi Zaelani, Akbar Zahidah Hasan Zahidah Zahidah Zahidah Zahidah, Zahidah Zidni, Irfan