NDLI: berada pada stadium yang lanjut. Diagnosis dini kanker payudara dapat dilakukan dengan proses Data Mining dengan metode Jaringan Saraf Tiruan dan algoritma Backpropagation. Dalam melakukan penelitian ini peneliti menggunakan data yang

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berada pada stadium yang lanjut. Diagnosis dini kanker payudara dapat dilakukan dengan proses Data Mining dengan metode Jaringan Saraf Tiruan dan algoritma Backpropagation. Dalam melakukan penelitian ini peneliti menggunakan data yang

Content Provider	Semantic Scholar
Author	Menggunakan, Kanker Payudara Saraf, Jaringan Dengan, Tiruan Backpropagation, Metode Gultom, Diana Astria Tantra, Wesley Yando Melakukan, Ditemukan Sulit Pengobatan, Upaya Kasus, Karena
Copyright Year	2020
Abstract	Based on the World Health Organization (WHO), breast cancer ranks eighth which causes the largest mortality rate in the world. Based on data from the Ministry of Health of the Republic of Indonesia, breast cancer is ranked second where the first position is cervical cancer. According to data from WHO, in 2015 the mortality rate due to breast cancer in the world reached 571,000 or 6.48% of the total mortality in the world. While in Indonesia, the figure is 20,025 or 1.41% of the total number of deaths in Indonesia. Increased rates of breast cancer can be caused by several risk factors such as genetic and family history, previous tumor or breast cancer history, history of early menstruation, history of late menopause, obesity, reproductive history, hormonal, poor diet, alcohol consumption, due to radiation ultraviolet light, and environmental factors. In Indonesia, more than 80% of cases were found difficult to make treatment efforts because the cases are at an advanced stage. Early diagnosis of breast cancer can be done with the Data Mining process with the Artificial Neural Network method and the Backpropagation algorithm. In conducting this research researchers used data available at the UCI Machine Learning Repository: Breast Cancer Repository. The results showed that the level of accuracy in diagnosing breast cancer using artificial neural networks with the Backpropagation method in the testing process reached 94.634% and when the training process was 99.372%.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://ejournal.medan.uph.edu/index.php/iert/article/download/356/200
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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