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Saparudin, Ahmad
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Prediksi Harapan Hidup Pasien Penderita Hepatitis B Menggunakan Classification and Regression Trees Saparudin, Ahmad; Maulidina, Tiya; Naufal Fikri, Muqsith; Sumarlin, Doli; Wahyudi, Irvan; Khaira, Ulfa
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 1 No. 2 (2018): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v1i2.5888

Abstract

Data mining is the two words that are familiar are heard by some people. In the world of business data mining is often utilized to support the company's business strategies or formulate. Not only in business, data mining is also utilized in various other areas of education, agriculture, animal husbandry, and medicine. This research was conducted in the classification of the patient sufferer hepatisis B use classification and refression trees (CART) to generate a decision tree that can be implemented to predict the life expectancy of the patient sufferer hepatitis B. After doing this research, produced a decision tree with 93.6% prediction accuracy.
Prediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network Saparudin, Ahmad; Maulidina, Tiya
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 1 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i1.6450

Abstract

Prediction (forecasting) is the activity of predicting events in the future. In terms of business forecasting has many uses, especially for the leadership of the company one of them i.e. to define its business strategy in the future. In this research, carried out the predictions of exchange rates dollar (USD) to Indonesian rupiah (IDR) on 11/03/2019 - 15/03/2019 using artificial neural networks (ANN) with a training dataset from 01/01/2018 - 08/03/2019. Establishment of ANN in the study formed in the Python programming language. Based on the research conducted, a decrease in the price of the exchange rate of USD to IDR on 11/03/2019 – 15/03/2019.
Co-Authors Khaira, Ulfa Maulidina, Tiya Naufal Fikri, Muqsith Sumarlin, Doli Wahyudi, Irvan