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Meri Mayang Sari
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cerita@raharja.info
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Jl. Jenderal Sudirman No. 40 Modern Cikokol Tangerang - Banten 15117 Indonesia
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Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics
Published by UNIVERSITAS RAHARJA
ISSN : 24611417     EISSN : 26552574     DOI : 10.33050/cerita
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Journal CERITA: Creative Education Of Research in Information Technology And Artificial Informatics adalah jurnal ilmiah nasional yang diterbitkan oleh Universitas Raharja Tangerang guna mempublikasikan ringkasan hasil penelitian civitas akademika pada bidang informatika dan komputer.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 191 Documents
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Penerapan Data Mining Untuk Memprediksi Pembelian Obat di RSUD Dr. Moewardi Agung Prasetyo; Sri Sumarlinda; Faulinda Ely Nastiti
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 2 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i2.3440

Abstract

Hospitals are an integral part of an organization of health that functions to provide completeness, cure diseases, and prevent diseases to the community. especially drugs in the health sector contained in hospitals. Purchasing drugs that are not in accordance with the needs that exist at that time makes the hospital suffer large losses. So that the author analyzes the purchase of drugs can be in accordance with existing needs based on analysis of patterns in previous years. Using the ARIMA method which has good forecast accuracy to predict the short term. By using data mining to calculate large amounts of data from previous years, it is hoped that from this prediction calculation for drug purchases can be in accordance with the needs so as not to make large losses. From all existing drug data, the author uses 3 samples of drug data, namely Nacl, Ranitidin, and Omeprazole. The results for Nacl data the accuracy rate reached 14.29%, Ranitidin data has an accuracy rate of 2.76%, and for Omeprazole data has an accuracy rate of 12.78%. From the results of time series analysis and the application of the ARIMA method, it can be concluded that data mining can be used to accurately predict drug purchases. By understanding the pattern of drug purchases over time and building a suitable ARIMA model, hospitals can make better decisions in planning drug purchases and inventory. Thus, the application of data mining in predicting drug purchases can provide significant benefits for Dr. Moewardi Hospital.

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