Implementasi Sistem Rekomendasi Penentuan Kamar Pasien menggunakan Metode Item-based Clustering Hybrid Filtering pada Sistem Integrated Hospital Asset Management (IHAM)

Solicha, Rachma Aji (2021) Implementasi Sistem Rekomendasi Penentuan Kamar Pasien menggunakan Metode Item-based Clustering Hybrid Filtering pada Sistem Integrated Hospital Asset Management (IHAM). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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[thumbnail of 01_New_Rachma Aji S_Draft Buku PA_2040201030.pdf] Text
01_New_Rachma Aji S_Draft Buku PA_2040201030.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2023.
Download (2MB) | Request a copy

Abstract

Proses pemesanan kamar pasien seringkali memakan waktu cukup lama. Hal ini dikarenakan belum adanya sistem terintegrasi yang menyediakan informasi terkait ketersediaan ruang perawatan. Oleh karena itu, dibutuhkan sebuah sistem informasi terintegrasi untuk membantu proses penentuan kamar pasien. Sistem Integrated Hospital Asset Management (IHAM) dirancang khusus untuk mengatur dan memantau penggunaan aset rumah sakit agar lebih efisien dan aman. Sebagai bagian dari upaya peningkatan performa pelayanan pasien, IHAM turut dilengkapi dengan sistem rekomendasi untuk membantur proses penentuan kamar pasien. Sistem rekomendasi ini dirancang dengan pendekatan metode Item-based Clustering Hybrid Filtering (ICHM). Metode ICHM mengintegrasikan antara informasi ruangan dengan user rating dalam mengidentifikasi ruangan yang sesuai dengan kebutuhan pengguna. Hasil pengujian menunjukkan bahwa penggunaan ICHMinilai mampu memberikan rekomendasi yang mendekati perspektif pasien. Hal ini dibuktikan dengan nilai Mean Absolute Error (MAE) dari hasil prediksi ruangan yang lebih rendah 21,8% jika dibandingkan dengan metode lain.
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The process of booking patient rooms often takes a long time. This is
because there is no integrated system that provides information
regarding the availability of treatment rooms. Therefore, an integrated
information system is needed to assist the process of determining patient
rooms. The Integrated Hospital Asset Management (IHAM) system is
specifically designed to manage and monitor the use of hospital assets
to make it more efficient and secure. As part of efforts to improve patient
service performance, IHAM is also equipped with a recommendation
system to assist the process of determining patient rooms. This
recommendation system is designed with the Item-based Clustering
Hybrid Filtering (ICHM) method approach. The ICHM method
integrates room information with user ratings in identifying rooms that
suit user needs. The test results show that the use of ICHM is considered
capable of providing recommendations that are close to the patient's
perspective. This is evidenced by the Mean Absolute Error (MAE) value
from the room prediction results which is 21.8% lower when compared
to other methods

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Sistem Rekomendasi, Manajemen Aset, Integrated Hospital Management, ICHM
Subjects: T Technology > T Technology (General) > T58.6 Management information systems
Divisions: Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User: Rachma Aji Solicha
Date Deposited: 31 Aug 2021 16:20
Last Modified: 31 Aug 2021 16:20
URI: http://repository.its.ac.id/id/eprint/87917

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