Penerapan Algoritma C4.5 dalam Memprediksi Dampak Kebakaran Hutan bagi Kesehatan
Abstract
The impact of forest fires on health is very disease-causing, one of which is respiratory disorders, coughing and other chronic lung diseases, such as chronic bronchitis, COPD, and others can even cause death. One of the causes of many deaths is because many cannot predict the effects of forest fires on health. Previous fire data can be used to predict fire incidents in the future. One algorithm that can be used to predict is the C4.5 algorithm. That results from the C4.5 decision tree shape algorithm, decision tree characteristics or conditions of forest fires and disease decisions, where the decision is the fruit of forest fires that occur modeling.Abstract should also be written in english, typed after the Bahasa Indonesia version of the Abstract. Author(s) are suggested to highlight five things in the abstract, i.e. background, objectives, methods or framework, results or important conclusions, and recommendations. The abstract should consist of approximately 600 words. Unusual abbreviations and confusing terms should be avoided in the abstract. Maximum five key words should be provided after the abstract.
References
Buulolo, E., Silalahi, N., Fadlina, & Rahim, R. (2017). C4.5 Algorithm To Predict the Impact of the Earthquake. International Journal of Engineering Research & Technology (IJERT), 6(2),10–15.
Haryati, S., SudarsonHaryati, S., Sudarsono, A., & Suryana, E. (2015). Implementasi Data Mining untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5. Jurnal Media Infotama, 11(2), 130–138.o, A., & Suryana, E. (2015). Implementasi Data Mining untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5. Jurnal Media Infotama, 11(2), 130–138.
Rasyid, F. (2014). Permasalahan dan Dampak Kebakaran Hutan. (4), 47–59.
Ridwan, M., Suyono, H., & Sarosa, M. (2013). Penerapan Data Mining Untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier. Eeccis, 7(1), 59–64. https://doi.org/10.1038/hdy.2009.180
Widayu, H., Darma, S., Silalahi, N., & Mesran. (2017). Data Mining Untuk Memprediksi Jenis Transaksi Nasabah Pada Koperasi Simpan Pinjam Dengan Algoritma C4.5. Issn 2548-8368, Vol 1, No(June), 7.
