IMPLEMENTASI ALGORITMA C.45 DALAM PREDIKSI PENYAKIT KANKER
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Cervical cancer detection has not been carried out stably because the patient came to the AlieSaboe Hospital where the patient's condition had entered an advanced stage. So that the results of treatment are very low, it would be better if the treatment is carried out at an earlier stage. So that the death rate of patients is expected to decrease. Factors that influence patients arriving late with reasons of embarrassment, fear of knowing the results of the detection of their disease. The purpose of this study was to obtain the C.45 Algorithm Model in predicting cervical cancer patients. The results achieved by this study are to obtain prediction results using the C.45 algorithm and have an accuracy of 70.37% as measured using the Confusion Matrix on Rapid Miner tools.
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Author Biographies
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Ichsan Gorontalo, Kota Gorontalo, Provinsi Sulawesi Utara, Indonesia
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Ichsan Gorontalo, Kota Gorontalo, Provinsi Sulawesi Utara, Indonesia
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References
Total: 10 References- Pambudi, R.H., 2017. Penerapan Algoritma C4. 5 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal (Doctoral dissertation, Universitas Brawijaya).
- Novianti, B., Rismawan, T. and Bahri, S., 2016. Implementasi Data Mining Dengan Algoritma C4. 5 Untuk Penjurusan Siswa (Studi Kasus: Sma Negeri 1 Pontianak). Coding Jurnal Komputer dan Aplikasi, 4(3). DOI: http://dx.doi.org/10.26418/coding.v4i3.17034.
- Ginting, V.S., Kusrini, K. and Taufiq, E., 2020. Implementasi Algoritma C4. 5 untuk Memprediksi Keterlambatan Pembayaran Sumbangan Pembangunan Pendidikan Sekolah Menggunakan Python. Inspiration: Jurnal Teknologi Informasi dan Komunikasi, 10(1), pp.36-44. DOI: http://dx.doi.org/10.35585/inspir.v10i1.2535.
- Lia, E., 2022. Implementasi Algoritma C4. 5 Untuk Penentuan Produk Terlaris (Studi Kasus: Toko XYZ Palembang) (Doctoral dissertation, Universitas Katolik Musi Charitas). URL: http://eprints.ukmc.ac.id/8634/.
- Prakarsya, A. and Prambayun, A., 2020. Implementasi Data Mining Untuk Prediksi Penyebaran Virus Hiv/Aids Di Bandar Lampung Dengan Teknik Decision Tree. Jurnal Sistem Informasi Komputer dan Teknologi Informasi (SISKOMTI), 3(2), pp.18-26. URL: https://www.ejournal.lembahdempo.ac.id/index.php/SISKOMTI/article/view/120.
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