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I Gede Arya Utama
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Perbandingan Sistem Peramalan Penjualan Dengan Metode Exponential Smoothing Dan Single Moving Averages Menggunakan Uji Statistik Sari, Arum Nawang; Utama, I Gede Arya; Kusumawardhani, Weny Endah
Jurnal JSIKA Vol 1, No 2 (2012)
Publisher : Jurnal JSIKA

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Abstract

PT. Surya Prima Perkasa is a big medicine distributor company which is spread all over Indonesia. Sales as a team that handles the sales transaction data of medicines have not done well and still use excel to record the transaction. Sales transaction data will be used Parts Sales to determine how many medicine orders for the next periods. However, these sales estimates sometimes have quite a big difference from the actual sales numbers, since the prediction does not use a certain formula and do not take into account sales forecasting errors.Application of sales forecasting with Exponential Smoothing and Single Moving Averages method are applications that can help PT. Prima Surya Perkasa to determine the number of total sales in the next periods. Exponential Smoothing forecasting methods will take into account average (smoothing) the data of the past exponentially by repeating calculations continuously using the latest data. Single Moving Averages are used to forecast the next periods, as well as cope with the trend better.In this application, Exponential Smoothing and Single Moving Averages methods are used to predict the amount sales for the next periods. Then the results from both methods were compared using statistical tests, where the accepted method is feasible for use forecasting.To determine the quality of orders in the future using the Economic Order Quantity (EOQ). Based on trial results that have been done can be concluded that the application is made to provide information to support decisionof Managerin determining the amount of medicine ordering. Keyword :Sales Forcasting, Exponential Smoothing, Single Moving Averages, Statistical testing.
Rancang Bangun Sistem Informasi Pendistribusian Barang Movement Regional pada Perum BULOG DIVRE Jawa Timur Rosdiyaningsih, Fitriyah; Utama, I Gede Arya; Prasetiya, Hendro Poerbo
Jurnal JSIKA Vol 1, No 2 (2012)
Publisher : Jurnal JSIKA

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Abstract

In order to maintain the resilience of the stock of rice which is flattened on the regional division/Sub regional division Perum BULOG required equity stock from surplus areas to deficit areas corresponding to the number and needs with good conditions. Perum BULOG as the State-Owned Enterprises through the activities of public service assigned to the regional activities undertaken movement. The processing of the data movement is still simple that regional is very difficult to do the checking of the resilience of the stock items in the warehouse, it will lead to constraints on the distribution of the activities of the regional movement into a slow, this is because not having the information system supporting the activities of the movement in the Perum BULOG Regional Division East Java. Designed to wake up the system of information on Regional distribution of the goods Movement Perum BULOG Regional Division East Java will help create regional governance process movement an efficient, competitive and accountable. The method used is the regional activities of the movement of transport method, use methods of the cost of the smallest (Least Cost) and Modified Distribution (MODI). Using these methods in this final paper gave the total cost of transporting it to a minimum in order to help deliver a decision in the distribution of goods that are optimal for doing the activities of the regional movement on Perum BULOG Regional Division East Java.   Keyword: distribution, freight, transportation, bulog
Perbandingan Sistem Peramalan Penjualan Dengan Metode Exponential Smoothing Dan Single Moving Averages Menggunakan Uji Statistik Sari, Arum Nawang; Utama, I Gede Arya; Kusumawardhani, Weny Endah
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

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

Abstract

PT. Surya Prima Perkasa is a big medicine distributor company which is spread all over Indonesia. Sales as a team that handles the sales transaction data of medicines have not done well and still use excel to record the transaction. Sales transaction data will be used Parts Sales to determine how many medicine orders for the next periods. However, these sales estimates sometimes have quite a big difference from the actual sales numbers, since the prediction does not use a certain formula and do not take into account sales forecasting errors.Application of sales forecasting with Exponential Smoothing and Single Moving Averages method are applications that can help PT. Prima Surya Perkasa to determine the number of total sales in the next periods. Exponential Smoothing forecasting methods will take into account average (smoothing) the data of the past exponentially by repeating calculations continuously using the latest data. Single Moving Averages are used to forecast the next periods, as well as cope with the trend better.In this application, Exponential Smoothing and Single Moving Averages methods are used to predict the amount sales for the next periods. Then the results from both methods were compared using statistical tests, where the accepted method is feasible for use forecasting.To determine the quality of orders in the future using the Economic Order Quantity (EOQ). Based on trial results that have been done can be concluded that the application is made to provide information to support decisionof Managerin determining the amount of medicine ordering. Keyword :Sales Forcasting, Exponential Smoothing, Single Moving Averages, Statistical testing.
Rancang Bangun Sistem Informasi Pendistribusian Barang Movement Regional pada Perum BULOG DIVRE Jawa Timur Rosdiyaningsih, Fitriyah; Utama, I Gede Arya; Prasetiya, Hendro Poerbo
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

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

Abstract

Perbandingan Sistem Peramalan Penjualan Dengan Metode Exponential Smoothing Dan Single Moving Averages Menggunakan Uji Statistik Sari, Arum Nawang; Utama, I Gede Arya; Kusumawardhani, Weny Endah
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi Universitas Dinamika (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (111.256 KB)

Abstract

PT. Surya Prima Perkasa is a big medicine distributor company which is spread all over Indonesia. Sales as a team that handles the sales transaction data of medicines have not done well and still use excel to record the transaction. Sales transaction data will be used Parts Sales to determine how many medicine orders for the next periods. However, these sales estimates sometimes have quite a big difference from the actual sales numbers, since the prediction does not use a certain formula and do not take into account sales forecasting errors.Application of sales forecasting with Exponential Smoothing and Single Moving Averages method are applications that can help PT. Prima Surya Perkasa to determine the number of total sales in the next periods. Exponential Smoothing forecasting methods will take into account average (smoothing) the data of the past exponentially by repeating calculations continuously using the latest data. Single Moving Averages are used to forecast the next periods, as well as cope with the trend better.In this application, Exponential Smoothing and Single Moving Averages methods are used to predict the amount sales for the next periods. Then the results from both methods were compared using statistical tests, where the accepted method is feasible for use forecasting.To determine the quality of orders in the future using the Economic Order Quantity (EOQ). Based on trial results that have been done can be concluded that the application is made to provide information to support decisionof Managerin determining the amount of medicine ordering. Keyword :Sales Forcasting, Exponential Smoothing, Single Moving Averages, Statistical testing.
Perbandingan Sistem Peramalan Penjualan Dengan Metode Exponential Smoothing Dan Single Moving Averages Menggunakan Uji Statistik Arum Nawang Sari; I Gede Arya Utama; Weny Endah Kusumawardhani
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

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

Abstract

PT. Surya Prima Perkasa is a big medicine distributor company which is spread all over Indonesia. Sales as a team that handles the sales transaction data of medicines have not done well and still use excel to record the transaction. Sales transaction data will be used Parts Sales to determine how many medicine orders for the next periods. However, these sales estimates sometimes have quite a big difference from the actual sales numbers, since the prediction does not use a certain formula and do not take into account sales forecasting errors.Application of sales forecasting with Exponential Smoothing and Single Moving Averages method are applications that can help PT. Prima Surya Perkasa to determine the number of total sales in the next periods. Exponential Smoothing forecasting methods will take into account average (smoothing) the data of the past exponentially by repeating calculations continuously using the latest data. Single Moving Averages are used to forecast the next periods, as well as cope with the trend better.In this application, Exponential Smoothing and Single Moving Averages methods are used to predict the amount sales for the next periods. Then the results from both methods were compared using statistical tests, where the accepted method is feasible for use forecasting.To determine the quality of orders in the future using the Economic Order Quantity (EOQ). Based on trial results that have been done can be concluded that the application is made to provide information to support decisionof Managerin determining the amount of medicine ordering. Keyword :Sales Forcasting, Exponential Smoothing, Single Moving Averages, Statistical testing.
Co-Authors Arum Nawang Sari Fitriyah Rosdiyaningsih Hendro Poerbo Prasetiya Pusaka, Semerdanta Weny Endah Kusumawardhani