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Sukma, Ardi Ramadhan
Universitas Bina Sarana Informatika

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Klasifikasi Channel Youtube Indonesia Menggunakan Algoritma C4.5 Sukma, Ardi Ramadhan; Halfis, Riqadri; Hermawan, Ady
JURNAL TEKNIK KOMPUTER Vol 5, No 1 (2019): JTK - Periode Februari 2019
Publisher : Universitas Bina Sarana Informatika

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Abstract

In the current era, social media is very influential in our lives whether from Instagram, Twitter, Youtube, or others. One of them is social media Youtube which has a very important role for the public, even though public figures. Youtube provides very interesting content for those who have a channel because they have an assessment of Video Upload, Subscriber, Video Viewers. Even Youtube provides an opportunity for Youtube channels that install Google AdSense to be paid to the owner of the Channel. Youtube Channel ratings can be rated from Video Upload, Subscriber, Video Viewers. From the Youtube data processing data can be done. One data processing technique that can be used in the process is classification. Classification is a data processing technique that divides objects into classes according to the desired number of classes. And using the C4.5 algorithm in the classification process. Who can determine the Youtube Channel especially Indonesia with a Very Good or Good ratio
ANALISIS ALGORITMA KLASIFIKASI C 4.5 UNTUK MEMPREDIKSI KEBERHASILAN IMMUNOTHERAPY PADA PENYAKIT KUTIL Hermawan, Ady; Sukma, Ardi Ramadhan; Halfis, Riqardi
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

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Abstract

Maintaining skin health is one thing that is also needed. Not only health from inside, health from the outside must also be considered. There are so many skin problems that arise in the human body. Wart disease is characterized by small bumps on the surface of the skin which are generally caused by the Human Papiloma Virus (HPV) virus. One technique for treating wart disease is immunotherapy, this method is a treatment by increasing the immune system to deal with wart disease. Clinical predictions are growing very rapidly by adopting computer science and information technology in managing health and drug data, this clinical prediction can be produced from processing using data mining methods. Data mining is a popular method used to explore patterns or knowledge from large data stacks. C 4.5 algorithm which is one of the decision tree induction algorithms is also a method of data mining algorithms used to classify. This study aims to predict the success rate of immunotherapy treatment methods on wart disease with algorithm C 4.5 using RapidMiner. From the study it was known that the accuracy rate for processing immunotherapy data on wart disease to predict its success using the C 4.5 algorithm of 74.07%.