Klasifikasi Penyakit Kanker Payudara Menggunakan Particle Swarm Optimization (PSO) dan Algoritma Decision Tree C.45

Triwidianti, Jani and Sriyanto, Sriyanto (2022) Klasifikasi Penyakit Kanker Payudara Menggunakan Particle Swarm Optimization (PSO) dan Algoritma Decision Tree C.45. Masters thesis, INSTITUT INFORMATIKA DAN BISNIS DARMAJAYA.

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2. Abstrak (1).pdf
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3. Persetujuan dan Pengesahan.pdf
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4. Daftar isi.pdf
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Abstract

ABSTRACT PARTICLE SWARM OPTIMIZATION AND ALGORITHM DECISION TREE C 45 FOR CLASSIFICATION OF BREAST CANCER DISEASE By JANI TRIWIDIANTI Cancer was a major cause of death in the world. Cancer became increasing threats in Indonesia due to changing lifestyles in a society. Cancer was the condition where the cells in a body which grew and spread abnormally and uncontrollably which became a major cause of death. One of the types of cancer was spread into surrounding breast tissues. The breast cancer was a disease which usually was suffered by women even though it also occurred among men in a small possibility level. According to the previous research, the accuracy of the classification of breast cancer needed to improve. In this research, the Particle Swam Optimization (PSO) and the Decision Tree C45 algorithm was used. The result of this research was that the accuracy value was 99.63%, the precision value was 100%, the recall value was 98.95 %, and the AUC value was 0.997. Moreover, the algorithm performance showed a very good performance and a very high level of accuracy. Keywords: Classification, Breast Cancer, Particle Swarm Optimization (PSO), Decision Tree C.45

Item Type: Thesis (Masters)
Subjects: Ilmu Komputer
eTheses
Divisions: Pasca Sarjana > Magister Teknik Informatika
Depositing User: Mrs jani triwidianti
Date Deposited: 02 Jan 2023 00:24
Last Modified: 02 Jan 2023 00:24
URI: http://repo.darmajaya.ac.id/id/eprint/10205

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