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Ridho Denanda Putra
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Rancang Bangun Aplikasi Peramalan Permintaan Barang Dengan Metode Pemulusan Eksponensial Winter Pada PT. Supramedika Prima Putra, Ridho Denanda; Tjandrarini, A.B.; Sulistiowati, Sulistiowati
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 3, No 2 (2014)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

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Abstract

Abstract: PT. Supramedika Prima Perwakilan Surabaya is a sole importer of medical devices and reagents from different brands in Indonesia. It’s customers are clinical laboratory and hospital in all region inside the east half of Indonesia. As a sole importer, this company must have a sufficient amount of inventory in order to complete each of their customer’s needs. In the mean time, the sale manager of this company is having a difficulty in estimating the amount of goods needed to be sold in the upcoming period. This issue needs to be resolved in order to prevent any customers that would stop buying goods from the company. An application to provide a forecast of goods demand in the future is needed to solve the issue. According to the data pattern test, the sales data has a close similarity to the seasonal and trend data pattern. That data pattern is best solved by using a specific method for forecasting, the Winter Exponential Smoothing method. After tested, the application could produce an average error from the results of forecasting at 13,2%, while the success level of implementing the Winter method is at 85,7%.
Rancang Bangun Aplikasi Peramalan Permintaan Barang Dengan Metode Pemulusan Eksponensial Winter Pada PT. Supramedika Prima Putra, Ridho Denanda; Tjandrarini, A.B.; Sulistiowati, Sulistiowati
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 5, No 2 (2016)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: PT. Supramedika Prima Perwakilan Surabaya is a sole importer of medical devices and reagents from different brands in Indonesia. It’s customers are clinical laboratory and hospital in all region inside the east half of Indonesia. As a sole importer, this company must have a sufficient amount of inventory in order to complete each of their customer’s needs. In the mean time, the sale manager of this company is having a difficulty in estimating the amount of goods needed to be sold in the upcoming period. This issue needs to be resolved in order to prevent any customers that would stop buying goods from the company. An application to provide a forecast of goods demand in the future is needed to solve the issue. According to the data pattern test, the sales data has a close similarity to the seasonal and trend data pattern. That data pattern is best solved by using a specific method for forecasting, the Winter exponential smoothing method. After implemented, the application could make reports which could be a help to the sales manager to make a plan for the goods inventory in the near future.
Rancang Bangun Aplikasi Peramalan Permintaan Barang Dengan Metode Pemulusan Eksponensial Winter Pada PT. Supramedika Prima Putra, Ridho Denanda; Tjandrarini, A.B.; Sulistiowati, Sulistiowati
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 3, No 2 (2014)
Publisher : Jurnal Sistem Informasi Universitas Dinamika (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (62.179 KB)

Abstract

Abstract: PT. Supramedika Prima Perwakilan Surabaya is a sole importer of medical devices and reagents from different brands in Indonesia. It’s customers are clinical laboratory and hospital in all region inside the east half of Indonesia. As a sole importer, this company must have a sufficient amount of inventory in order to complete each of their customer’s needs. In the mean time, the sale manager of this company is having a difficulty in estimating the amount of goods needed to be sold in the upcoming period. This issue needs to be resolved in order to prevent any customers that would stop buying goods from the company. An application to provide a forecast of goods demand in the future is needed to solve the issue. According to the data pattern test, the sales data has a close similarity to the seasonal and trend data pattern. That data pattern is best solved by using a specific method for forecasting, the Winter Exponential Smoothing method. After tested, the application could produce an average error from the results of forecasting at 13,2%, while the success level of implementing the Winter method is at 85,7%.
Rancang Bangun Aplikasi Peramalan Permintaan Barang Dengan Metode Pemulusan Eksponensial Winter Pada PT. Supramedika Prima Ridho Denanda Putra; A.B. Tjandrarini; Sulistiowati Sulistiowati
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 3, No 2 (2014)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: PT. Supramedika Prima Perwakilan Surabaya is a sole importer of medical devices and reagents from different brands in Indonesia. It’s customers are clinical laboratory and hospital in all region inside the east half of Indonesia. As a sole importer, this company must have a sufficient amount of inventory in order to complete each of their customer’s needs. In the mean time, the sale manager of this company is having a difficulty in estimating the amount of goods needed to be sold in the upcoming period. This issue needs to be resolved in order to prevent any customers that would stop buying goods from the company. An application to provide a forecast of goods demand in the future is needed to solve the issue. According to the data pattern test, the sales data has a close similarity to the seasonal and trend data pattern. That data pattern is best solved by using a specific method for forecasting, the Winter Exponential Smoothing method. After tested, the application could produce an average error from the results of forecasting at 13,2%, while the success level of implementing the Winter method is at 85,7%.
Co-Authors A. B. Tjandrarini Sulistiowati Sulistiowati Sulistiowati Sulistiowati