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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Rainstek : Jurnal Terapan Sains dan Teknologi
Chairani, Denita
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Analisis Pengendalian Persediaan Obat Antibiotik RSU Haji Medan dengan Menerapkan Metode Always Better Control, Economic Order Quantity, dan Reorder Point Chairani, Denita; Prasetya, Nurul Huda; Cipta, Hendra
TIN: Terapan Informatika Nusantara Vol 1 No 12 (2021): Mei 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Stock out and cito occur because there is no stability between demand for the availability of drugs, it is necessary to control the supply of antibiotics at the Pharmacy Installation of RSU Haji Medan. The purpose of this study is to find out the number of reordering each antibiotic drugs. This research is hold in Pharmacy Installation of RSU Haji Medan. From the results, Always Better Control analysis method showed 63,5% of type A antibiotics, 25,8% of type B antibiotics, and 10,7% of type C antibiotics from the total budgeted users of antibiotics. With the Economic Order Quantity method, the quantity of antibiotic drugs ordered to be optimum includes type A from 2-95 items, type B from 1-107 items, and type C from 0-269 items. With Reorder Point analysis method, the reordered antibiotic drugs included type A from 5-339 items, type B from 1-107 items, and type C from 5-159 items
Penerapan Metode ABC (Always Better Control), Eoq (Economic Order Quantity), Dan Rop (Reorder Point) Dalam Pengendalian Persediaan Obat Antibiotik Di Rumah Sakit Umum Haji Chairani, Denita; Mr, Hendra Cipta; Prasetya, Nurul Huda
RAINSTEK: Jurnal Terapan Sains dan Teknologi Vol. 6 No. 3 (2024): September
Publisher : Fakultas Sains dan Teknologi Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jtst.v6i3.5335

Abstract

Stock out dan cito terjadi karena belum adanya kestabilan antara permintaan terhadap ketersediaan obat sehingga diperlukan pengendalian persediaan obat antibiotik di Instalasi Farmasi RSU Haji Medan. Untuk mengetahui jumlah pemesanan kembali masing-masing obat antibiotik merupakan tujuan dari penelitian ini.. Hasil penelitian menunjukkan analisis ABC menunjukkan 4 (5,3%) jenis obat antibiotik tipe A sebesar 63,5%, terdapat 7 (9,3%) jenis obat antibiotik tipe B  dengan  25,8%, dan terdapat 45 (85,3%) jenis obat antibiotik tipe C dengan 10,7% dari total pengguna obat antibiotik yang dianggarkan. Berdasarkan metode EOQ jumlah obat antibiotik yang dipesan agar optimum yang termasuk tipe A dari 2-95 item, tipe B dari 1-107 item, tipe C dari 0-269 item. Dengan ROP obat antibiotik yang dipesan kembali  termasuk tipe A dari 5-339 item, tipe B dari 1-107 item, dan tipe C dari 5-159 item.
Co-Authors Heni Pujiastuti Mr, Hendra Cipta Prasetya, Nurul Huda