Browsing by Author "Lase, Jasmarianus"

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    PERAMALAN PERSEDIAAN OBAT PADA APOTEK SINAR ABADI MENGGUNAKAN METODE EXPONENTIAL SMOOTHING
    (Elfitra, 2022-03) Lase, Jasmarianus; Bahri, Zaiful
    Forecasting is estimating the situation in the future through past circumstances. Forecasting aims to minimize losses that will occur in the future by applying methods related to forecasting. Sinar Abadi Pharmacy is one of the pharmacies that sells and has a stock of medicines. Drug supplies are very important for a pharmacy to meet consumer or customer needs and support smooth business management at Sinar Abadi Pharmacy. Drug supplies that are too piled up are not a little cost borne for the procurement of drugs. Inventories of drugs that are too little also cannot met the needs of consumers or customers. Therefore, it is necessary to have a drug supply forecast system at Sinar Abadi Pharmacy. Made a Drug Inventory Forecast system at the Sinar Abadi Pharmacy aims to predict drug inventory at the pharmacy and to design and create an information system for forecast drug inventory to assist the work management of Sinar Abadi Pharmacy in obtaining drug inventory information based on the results of forecast past drug sales used the Triple Exponential Smoothing from Brown. Method Triple Exponential Smoothing from Brown very suitable for made forecasted things that fluctuated or experienced tidal waves, meant that the increased or decreased in the amounted of data usually occurred suddenly and is difficult to determined. The method stepped carried out in this studied are needed analysis, data collection, data analysis, and forecasted used the Triple Exponential Smoothing. Next, designed the system used the Unified Modeling Language (UML), which consisted of designed a system used Unified cased diagram, class diagrams, activities diagrams, and sequences diagrams. The forecasted resulted obtained from this studied are the resulted of the forecasted of the Triple Exponential Smoothing on Acetylcysteine is founded at alpha 0.1 with a valued of 48 and the lowest levelled of accuracy for forecasted based on MAPE is 42%.