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KLASIFIKASI PENYAKIT DIABETES MELLITUS DENGAN MENGGUNAKAN PERBANDINGAN ALGORITMA J48 DAN RANDOM FOREST (STUDI KASUS : RUMAH SAKIT MUHAMMADIYAH LAMONGAN)

Maziida, Shaumi Rizqi (2018) KLASIFIKASI PENYAKIT DIABETES MELLITUS DENGAN MENGGUNAKAN PERBANDINGAN ALGORITMA J48 DAN RANDOM FOREST (STUDI KASUS : RUMAH SAKIT MUHAMMADIYAH LAMONGAN). Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Diabetes Mellitus (DM) is a disease that occurs due to high glucose levels in the blood. in this research, data obtained from Muhammadiyah Lamongan Hospital is 2.021 original data and there are 5 types of diabetes mellitus or target class therein. Then the data is processed using normalization method and handling missing values for classification and testing process. Random Forest algorithm test results have superior accuracy results compared with J48 in the original data test and data normalization and handling of missing values. In the original data, the test with confusion matrix on the Random Forest algorithm has an accuracy of 98.51% and J48 is 95.05%. And on the data has been through the process of normalization and handling of missing values Random Forest algorithm accuracy is 97.52% and J48 is 94,,76%. The original data test results have better accuracy than the data that has been processed.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201310370311083
Keywords: Diabetes Mellitus
Subjects: R Medicine > R Medicine (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 05 Nov 2018 08:05
Last Modified: 05 Nov 2018 08:05
URI : http://eprints.umm.ac.id/id/eprint/39299

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