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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Marketing Management Studies Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Current Biomedicine Sociality: Journal of Public Health Service
Jannah, Zahratul
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Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Journal : Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat

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Pengembangan Sistem Cerdas Berbasis Data Mining untuk Meningkatkan Akurasi Prediksi Kebutuhan Obat di Puskesmas Parit Rantang Jannah, Zahratul; Budayawan, Khairi
Al-DYAS Vol 3 No 1 (2024): FEBRUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v3i1.2736

Abstract

Effective inventory management is crucial in providing quality healthcare services. Predicting drug needs in the pharmacy warehouse is vital to ensuring adequate availability for patients. This study developed and implemented a prediction system using Artificial Neural Network (ANN) method to forecast drug requirements. Training data comprised drug usage from January 2020 to July 2023, while testing data covered drug usage from August to December 2023. Through several experiments, the best model identified was 12-6-1, with a Mean Absolute Percentage Error (MAPE) of 6.817 and an accuracy of 93.18%. Predictions for Paracetamol drug usage in August were 4603, whereas the actual usage was 4785. This system is expected to enhance drug inventory management efficiency, reduce costs, and improve drug availability for patients.
Co-Authors Andi Miftahul Jannah, Andi Miftahul Arfah, Nur Hasanah Arief Maulana Budayawan, Khairi Darmayanti, Firdha E Haodudin Nurkifli Eka Kurnia, Eka Emmi Bujawati Herwin Pisestyani Isdoni Bustaman Komala, Iyep Ningsih, Andi Asma Susilo Yuda Irawan, Agung Tiksah, Yusniar