Eka Satria Wibawa
Universitas Sains Dan Teknologi Komputer

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Implementasi Aplikasi Sistem Peramalan Persedian Barang Menggunakan Metode Single Moving Average Berbasis Web Eko siswanto; Eka Satria Wibawa; Zaenal Mustofa
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.515

Abstract

Forecasting is an estimate of future demand based on several forecasting variables based on historical time series or a process of using historical data (past data) that has been owned to use this model and use this model to estimate future conditions.The Ivori mini market SME group is known to be a mini market that sells daily necessities. The goods provided by the ivori mini market are not focused on only one type of goods, but include all types of goods. Ivori mini market often runs out of stock because there is no inventory planning. The main purpose of making this application is to assist employees in determining inventory planning that must be provided next month. While the method used to make this forecast is a single moving average, one of the time series methods in forecasting. Single Moving Average is a forecasting method that is done by collecting a group of observed values, looking for the average value as a forecast for the future period. The result of this forecasting is to predict the number of sales that will occur in the coming month.
METODE ANALITYCAL HIERARCHY PROCESS (AHP) DALAM MENDUKUNG SISTEM KEPUTUSAN PENENTUAN PENERIMAAN BANTUAN LANGSUNG SEMENTARA MASYARAKAT Eka Satria Wibawa; Zaenal Mustofa
Jurnal Publikasi Manajemen Informatika Vol 1 No 1 (2022): JANUARI : JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4621.561 KB) | DOI: 10.55606/jupumi.v1i1.82

Abstract

So far, the determination of recipients of direct public assistance funds (BLSM) is still not accurate. Therefore we need a decision support system application program that can assist in making a decision accurately and quickly to get accurate selection results. The method used in this application is the Analytical Hierarchy Process (AHP) where the classification process is carried out in a hierarchical manner, providing a comparison value for each criterion to determine the criteria value. This research resulted in an application of a decision support system for determining the receipt of direct assistance funds while the community used the Analytical Hierarchy Process (AHP) method. In this application the criteria and sub-criteria can be determined according to the indicators that exist in each region and can be grouped based on the selection period. The results of testing this application show a fairly accurate percentage and can be used to determine BLSM recipients.
Implementasi Aplikasi Sistem Peramalan Persedian Barang Menggunakan Metode Single Moving Average Berbasis Web Eko siswanto; Eka Satria Wibawa; Zaenal Mustofa
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.515

Abstract

Forecasting is an estimate of future demand based on several forecasting variables based on historical time series or a process of using historical data (past data) that has been owned to use this model and use this model to estimate future conditions.The Ivori mini market SME group is known to be a mini market that sells daily necessities. The goods provided by the ivori mini market are not focused on only one type of goods, but include all types of goods. Ivori mini market often runs out of stock because there is no inventory planning. The main purpose of making this application is to assist employees in determining inventory planning that must be provided next month. While the method used to make this forecast is a single moving average, one of the time series methods in forecasting. Single Moving Average is a forecasting method that is done by collecting a group of observed values, looking for the average value as a forecast for the future period. The result of this forecasting is to predict the number of sales that will occur in the coming month.