Skripsi

PERBANDINGAN FUZZY TIME SERIES CHEN DAN LEE PADA PREDIKSI JUMLAH KUNJUNGAN PASIEN RAWAT JALAN DI RSIA ANANDA LUBUKLINGGAU

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The number of outpatient visits in hospitals often fluctuates, making it difficult for hospital management to plan administrative services, particularly in managing patient queues, as well as the allocation of resources, especially administrative staff, effectively. Therefore, a prediction method is needed to estimate the number of patient visits in the future. This study aims to apply and compare the Fuzzy Time Series (FTS) Chen model and Lee model in predicting the number of outpatient visits at RSIA Ananda Lubuklinggau. The data used in this study are historical outpatient visit data from January 2023 to September 2025 consisting of 1004 daily records. The number of intervals was determined using the Sturges and Rice methods, which produced an interval range from 11 to 21. The experimental results show that the best interval is 19, with SMAPE and MAE values of 51,99% and 8,96 for the Chen model, while the Lee model produces SMAPE and MAE values of 51,54% and 8,52. Based on these result, the Fuzzy Time Series Lee model provides better prediction accuracy than the Chen model in forecasting the number of outpatient visits.

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Availability

Detail Information

Series Title

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Call Number

T1962402026

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2026

Collation

xix, 169 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

519.507

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Metode Chen

Specific Detail Info

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Statement of Responsibility

TUTI

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