IMPLEMENTATION OF C4.5 ALGORITHM IN CLASSIFYING BREAST CANCER BASED ON MENOPAUSE AGE

  • Wulan Dari Universitas Nusa Mandiri
  • Nisrina Miranda Universitas Nusa Mandiri
DOI: https://doi.org/10.33480/pilar.v17i2.2315
Keywords: Breast Cancer, Data Mining, C4.5 Algorithm, Decision Tree

Abstract

Breast cancer is a malignant tumor that can attack breast tissue, is a disease that is most feared by women. Although based on recent findings not only women are affected by breast cancer, it turns out that men can get breast cancer, although it is still very rare. Breast cancer is one type of cancer that is often experienced by women in Indonesia. Data mining is a process that uses statistical, mathematical, artificial intelligence and machine learning techniques to interact and identify useful information and related knowledge from large databases. Breast cancer is much feared by women as well as young and old age which can lead to death, if as early as possible for a full examination, this lump initially shrinks, but over time it enlarges, then sticks to the skin or causes changes in the skin of the breast (nipple). But the skin or nipple is pulled inward (retraction), light redness, or browning, until swelling, shrinking or sore breasts get worse the old ones will get bigger and deeper so that they can crush the one breast often smells bad and bleeds easily . C4.5 algorithm and decision tree are two inseparable models, because to build a decision tree, C4.5 algorithm is needed. Decision trees are one of the most popular classification methods because they are easy for humans to interpret. A decision tree is a predictive model using a tree structure or hierarchical structure. The concept of a decision tree is to convert data into a decision tree and decision rules.

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References

Anwar Hidayat. (2012, October). Pengertian dan Penjelasan Penelitian Kuantitatif – Lengkap. Statistikian, p. Pengertian dan Penjelasan Penelitian Kuantitatif –.

Arsittasari, T., Estiwidani, D., & Setiyawati, N. (2017). Faktor-Faktor Yang Berhubungan Dengan Kejadian Kanker Payudara Di Rsud Kota Yogyakarta Tahun 2016. Jurnal Kebidanan, 1–90.

Daniel, G., Boyatzis, R., & Mckee, A. (2019). Metode Penelitian. Journal of Chemical Information and Modeling, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004

Gorunescu, F. (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg : Springer.

Han, J., & Kamber, M. (2006). Data Mining: Concepts and Techniques. Morgan Kaufmann.

Handayani, I. (2019). Penyakit Disk Hernia Dan Spondylolisthesis Dalam Kolumna Vertebralis. 1(2), 83–88. https://doi.org/10.12928/JASIEK.v13i2.xxxx

Haryati, S., Sudarsono, A., & Suryana, E. (2015). Implementasi Data Mining Untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5 (Studi Kasus: Universitas Dehasen Bengkulu). Jurnal Media Infotama, 11(2), 130–138.

Hermawanti, L. (2012). Penerapan algoritma klasifikasi c4.5 untuk diagnosis penyakit kanker payudara. Jurnal Teknik Unisfat, 7(1), 57–64.

Karyono, G. (2016). Analisis Tektnik Data Mining “Algoritma C4.5 dan K-Nereset Neighbor” untuk Mendiagnosa Penyakit Diabetes Mellitus. Seminar Nasional Teknologi Informasi, 77–82. Retrieved from http://news.palcomtech.com/wp-content/uploads/downloads/2016/06/IT13_Giat-Karyono.pdf

Lorena, S., Zarman, W., & Hamidah, I. (2014). Analisis Dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Memprediksi Masa Studi Mahasiswa Berdasarkan Data Nilai Akademik. Pros. Semin. Nas. Apl. Sains Dan Teknol, 263–272.

Mustafa, M. S., Ramadhan, M. R., & Thenata, A. P. (2018). Implementasi Data Mining untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier. Creative Information Technology Journal, 4(2), 151. https://doi.org/10.24076/citec.2017v4i2.106

Nasrullah, A. H. (2018). Penerapan Metode C4.5 untuk Klasifikasi Mahasiswa Berpotensi Drop Out. ILKOM Jurnal Ilmiah, 10(2), 244–250. https://doi.org/10.33096/ilkom.v10i2.300.244-250

Pearce E C. (2012). Anatomi dan Fisiologi untuk Paramedis. Jakarta: PT. Gramedia Pustaka Utama.

Purwanto, A., Primajaya, A., & Voutama, A. (2020). Penerapan Algoritma C4 . 5 dalam Prediksi Potensi Tingkat Kasus Pneumonia di Kabupaten Karawang. Jurnal Sistem Dan Teknologi Informasi, 08(4), 390–396. https://doi.org/10.26418/justin.v8i4.41959

Swastina, L. (2018). Penerapan Algoritma C4 . 5 Untuk Penentuan Jurusan Mahasiswa. Gema Aktualita, 2(1), 93–98.

Utami, F. S., & Muhartati, M. (2020). Kader sadar kanker payudara. Jurnal Inovasi Abdimas Kebidanan (Jiak), 1(1), 19–22. https://doi.org/10.32536/jpma.v1i1.66

Published
2021-09-08
How to Cite
Dari, W., & Miranda, N. (2021). IMPLEMENTATION OF C4.5 ALGORITHM IN CLASSIFYING BREAST CANCER BASED ON MENOPAUSE AGE. Jurnal Pilar Nusa Mandiri, 17(2), 137-142. https://doi.org/10.33480/pilar.v17i2.2315
Issue
Vol 17 No 2 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for September 2021
Section
Articles

Copyright (c) 2021 Wulan Dari, Nisrina Miranda

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