Analisa Keluhan Pasien Menggunakan Algoritma FP-Growth (Studi Kasus Praktek Mandiri Anugerah)

ZUNIRA, CORRY LUQMA and , Ir. Bana Handaga, M.T., Ph.D. (2021) Analisa Keluhan Pasien Menggunakan Algoritma FP-Growth (Studi Kasus Praktek Mandiri Anugerah). Skripsi thesis, Universitas Muhammadiyah Surakarta.

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The rapid development and growth of technology in the current era of globalization has had a lot of influence in various aspects of the field, one of which is in the health sector. Data recording is done manually using paper that has lost data but has now changed to digital. For these data there is an association that handles complaints in patients. In research that uses the Fp-Growth Algorithm, because this algorithm is suitable for determining data that often appears in large quantities. The pattern of patient complaints is determined using parameter two, namely the value of support and the value of confidence. This system is based on a website with the PHP programming language, MYSQL as a database. The results of this study using the Fp-Growth Algorithm to find patterns of patient complaints where the data varies widely.

Item Type: Karya ilmiah (Skripsi)
Uncontrolled Keywords: Algoritma Fp-Growth, Pola Keluhan Pasien, Minimum Support, Minimum Confidence.
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Date Deposited: 05 Jun 2021 13:18
Last Modified: 05 Jun 2021 13:18

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