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Sungkawa, Iwa
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Computer Science & IT Engineering Mathematics

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Penerapan Ukuran Ketepatan Nilai Ramalan Data Deret Waktu dalam Seleksi Model Peramalan Volume Penjualan PT Satriamandiri Citramulia Sungkawa, Iwa; Megasari, Ries Tri
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2813

Abstract

Forecasting is performed due to the complexity and uncertainty faced by a decision maker. This article discusses the selection of an appropriate forecasting model with time series data available. An appropriate forecasting model is required to estimate systematically about what is most likely to occur in the future based on past data series, so that errors (the differences between what actually happens and the results of the estimation) can be minimized. A gauge is required to detect the required the value of forecast accuracy. In this paper ways of forecasting accuracy of detection are discussed using the mean square error (MSE) and the mean absolute percentage error (MAPE). The forecasting method uses Moving Average, Exponential Smoothing, and Winters method. With the three methods forecast value is determined and the smallest value of MSE and Mape is selected. The results of data analysis showed that the Exponential Smoothing is considered an appropriate method to forecast the sales volume of PT Satriamandiri Citramulia because it produces the smallest value of MSE and Mape. 
Penerapan Regresi Linier Ganda untuk Mengukur Efisiensi Pola Penggunaan Air Tanah System Rice Intensification (SRI) di Kabupaten Bandung, Subang, dan Karawang Sungkawa, Iwa
ComTech: Computer, Mathematics and Engineering Applications Vol 6, No 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2270

Abstract

This paper discusses the application of multiple linear regression to measure the efficiency and success of the pattern of groundwater using System of Rice Intensification. The purpose of this paper is to provide an overview of the procedures and the use of multiple linear regression analysis and to measure the impact of independent variables (habits of farmers P3A) in the use of groundwater. Multiple Linear Regression analysis is used to examine the relationships and dependencies between farmers habits P3A to the efficiency of water use patterns of SRI. The results show that the success and efficiency groundwater use is recommended in SRI pattern depends on the habits and behavior of the P3A farmers use ground water for their farming needs.
Co-Authors Megasari, Ries Tri