Penerapan Linear Sampling dan Information Gain pada Algoritma Decision Tree untuk Diagnosis Penyakit Diabetes

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Published Jan 25, 2022
https://doi.org/10.32722/multinetics.v7i2.3796
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Vol. 7 No. 2 (2021): MULTINETICS Nopember (2021)

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Gunawan Gunawan
Universitas Bina Sarana Informatika
Ami Rahmawati
Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
Satia Suhada
Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
Taufik Hidayatulloh
Universitas Bina Sarana Informatika
Dede Wintana
Universitas Bina Sarana Informatika

Abstract

Diabetes which is assigned to be in the top 10 list of diseases that cause death in the last 10 years has increased. What was observed was that this increase occurred in developing countries with middle to lower social status. In Indonesia, diabetes is included in the top 10 diseases with a large number of sufferers. And more than that, diabetes becomes comorbid that causes complications in Covid 19 patients. Then to detect diabetes more quickly and accurately, it is necessary to make research that can produce a better level of accuracy to detect diabetes. By using a public dataset taken from the UCI repository consisting of 520 records, obtained from Diabetes Sylhet Hospital, Bangladesh. In this research, classification will be carried out using the Decision Tree algorithm with optimization of Linear Sampling and Information Gain. After calculating using these methods and calculating the accuracy, the results obtained are 99.04% accuracy with a comparison with previous research which only used a Random Forest of 97.04%.

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Author Biographies

Gunawan Gunawan, Universitas Bina Sarana Informatika

Faculty of Engineering & Informatics
Computer Science Study Program

Ami Rahmawati, Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri

Information Systems Study Program

Satia Suhada, Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri

Information Systems Study Program

Taufik Hidayatulloh, Universitas Bina Sarana Informatika

Faculty of Engineering &Informatics
Information Systems Study Program

Dede Wintana, Universitas Bina Sarana Informatika

Faculty of Engineering & Informatics
Computer Science Study Program

How to Cite
Gunawan, G., Rahmawati, A., Suhada, S., Hidayatulloh, T., & Wintana, D. (2022). Penerapan Linear Sampling dan Information Gain pada Algoritma Decision Tree untuk Diagnosis Penyakit Diabetes. MULTINETICS, 7(2), 124–131. https://doi.org/10.32722/multinetics.v7i2.3796

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