Implementasi Algoritma K-Medoids pada laporan kunjungan pasien pada sistem informasi klinik berbasis Web

Prakoso, Agung Satrio Budi (2024) Implementasi Algoritma K-Medoids pada laporan kunjungan pasien pada sistem informasi klinik berbasis Web. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

Klinik X Sulawesi Utara adalah sebuah klinik yang memberikan pelayanan medis kepada masyarakat khususnya di Sulawesi Utara, melalui Poliklinik Mata, Poliklinik Saraf, serta Poliklinik Anak. Tentu pelayanan terhadap masyarakat ini menghasilkan data kunjungan berupa salahsatunya tanggal kunjungan, data diri pasien, serta poliklinik tujuan. Tetapi data kunjungan hanya berujung menjadi arsip. Maka dari itu, penelitian ini mengusulkan klasterisasi data kunjungan pasien menggunakan algoritma K-Medoids. Penelitian ini menggunakan data kunjungan pasien dari Desember 2020 hingga Juli 2021 dengan jumlah data sebanyak 1.327 buah. Untuk kinerja klasterisasi sendiri diukur menggunakan skor shilouette score, yang mana nilai tertingginya didapat pada jumlah klaster sembilan buah dengan skor 0,51. Sehingga dapat diharapkan penelitian ini menjadi suatu solusi untuk membantu pihak klinik dalam pengambilan keputusan guna perbaikan kualitas pelayanan klinik. Clinic X of North Sulawesi is a clinic that is serving the community, particularly people of North Sulawesi trough Eye Polyclinic, Neurology Polyclinic, and Children's Polyclinic. It is certain that every visit and appointment generates data, includes visit date and other patient data. But facts points out that the data is only ended up being in the archive. Therefore, this research proposes a form of clustering of such data using K-Medoids algorithm. The data used in this research are of from December of 2020 until July of 2021 with 1.327 rows of data. Evaluation of the results were done using shilouette score method. The highest score was achieved when clusters are set to nine with the score of 0,51. Therefore it is hoped that this research can be a solution to help clinic management as one of the inputs for improvement of the clinic service.

Item Type: Thesis (Sarjana)
Uncontrolled Keywords: klinik; klasterisasi; K-Medoids
Subjects: Data Processing, Computer Science
Medicine and Health > Research and Statistical Methods of Medical Science
Medicine and Health > Physicians
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Informatika
Depositing User: - Agung Satrio Budi Prakoso
Date Deposited: 03 Sep 2024 07:58
Last Modified: 03 Sep 2024 07:58
URI: https://digilib.uinsgd.ac.id/id/eprint/95665

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