Skripsi

MODEL DIAGNOSIS PENYAKIT DEGENERATIF MENGGUNAKAN DECISION TREE ITERATIVE DICHOTOMISER 3 BERDASARKAN KOMBINASI KEANGGOTAAN FUZZY

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Penilaian

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Degenerative diseases are one of the leading causes of chronic disability on a global scale, significantly affecting the quality of life of sufferers. These diseases also burden the health care system and individuals financially. The implementation of preventive strategies can be postponed until accurate prediction of disease status can be achieved. Degenerative diseases that are the main cause of death in many countries are coronary heart disease (CHD), while diabetes mellitus disease (DMD) increases the risk of CHD. Most of the predictor variables from the data set to predict the status of both diseases are continuous, but not all prediction methods can process continuous data, one of which is Decision Tree Iterative Dichotomiser3 (DTID3) method. This work aims to predict the status of both degenerative diseases, CHD and DMD using the DTID3 method with continuous type predictor variables transformed using discretization with the concept of set membership. Seven prediction models using the DTID3 method are proposed to predict the status of each degenerative disease. One DTID3 model uses the concept of crisp set membership, and six DTID3 models use the concept of fuzzy set membership (FDTID3). Each prediction model of FDTID3 represents one combination of fuzzy membership functions in discretizing continuous predictor variables, and one combination consists of three membership functions. The performance of the proposed FDTID3 model depends on the fuzzy membership functions used. The hypothesis that the performance of the seven proposed models dJikafers at least in one metric and that the performance of the FDTID3 models is higher than the DTID3 model discretized using the concept of crisp sets has been proven.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001102	T1673392	T1673392024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1673392024

Publisher

Indralaya : Prodi S3 Ilmu MIPA, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024

Collation

xiv, 115hlm.; ill.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi S3 Ilmu MIPA
Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

TUTI

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