Aplikasi Forecasting Stok Barang Menggunakan Metode Weighted Moving Average (WMA) pada Metrojaya Komputer

Imam Solikin, Septa Hardini

Abstract


Metrojaya Komputer is a business engaged in buying and selling, the purchasing process often has difficulty in determining how much stock of goods must be purchased for the future period, because it has not used forecasting methods. Forecasting is a forecasting that requires the retrieval of historical data to be processed in order to produce a decision on what predictions are needed for the next period. The purpose of this research is to simplify and accelerate forecasting using the weighted moving average (WMA) approach through the development of information technology based systems. The data needed in forecasting is the previous period data, whether the previous month's data or the previous year, then processed using forecasting equation. Forecasting can be processed based on data from the previous three periods or based on a certain period to produce the required stock of goods. The system development method used is the waterfall method which consists of several stages of communication, planning, modeling, construction, and deployment. This study produces a forecasting information system with a weighted moving average (WMA) approach that can be processed using an information technology based system so that it makes it easier and faster in making decisions regarding the stock of goods needed in sales.


Keywords


Forecasting, WMA, Waterfall

Full Text:

References


J. Heizer and B. Render, “Manajemen Operasi: Manajemen Keberlangsungan dan Rantai Pasokan,” Jakarta: Salemba Empat, 2015.

S. Alfarisi, “Sistem Prediksi Penjualan Gamis Toko QITAZ Menggunakan Metode Single Exponential Smoothing,” JABE (Journal Appl. Bus. Econ., vol. 4, no. 1, pp. 80–95, 2017.

S. S. Harahap, “Analisis kritis atas laporan keuangan, edisi 1,” Jakarta Rajawali Pers, 2013.

K. Nugraha, “PENERAPAN METODE PERAMALAN UNTUK MENYUSUN PERENCANAAN PRODUKSI PADA KONVEKSI ABYE GRAFFINDO.” Perpustakaan Fakultas Ekonomi dan Bisnis Unpas Bandung, 2018.

D. Heryanto and I. Solikin, “PERAMALAN STOCK MOTOR PADA PT THAMRIN BROTHERS CABANG TUGU MULYO MENGGUNAKAN WEIGHTED MOVING AVERAGE (WMA),” Media Inform. dan Komput., vol. 6, no. 1, pp. 14–25, 2015.

H. Tanuwijaya, “Penerapan Metode Winter’s Exponential Smoothing Dan Single Moving Average Dalam Sistem Informasi Pengadaan Obat Rumah Sakit,” in Prosiding Seminar Nasional Manajemen Teknologi XI, 2010.

H. Azami, B. Bozorgtabar, and M. Shiroie, “Automatic signal segmentation using the fractal dimension and weighted moving average filter,” J. Electr. Comput. Sci., vol. 11, no. 6, pp. 8–15, 2011.

R. Y. Hayuningtyas, “Peramalan Persediaan Barang Menggunakan Metode Weighted moving average dan Metode Double Exponential Smoothing,” J. Pilar Nusa Mandiri, vol. 13, no. 2, pp. 217–222, 2007.

D. Rachmatin, “Penerapan Metode Exponentially Weigthed Moving Average (EWMA) dan Metode Semi Varians (SV) dalam Perhitungan Risiko Portofolio Saham PT Pindad Persero,” Stat. J. Theor. Stat. Its Appl., vol. 15, no. 2, pp. 39–57, 2015.

S. S. Sundari, S. Susanto, and W. Revianti, “Sistem Peramalan Persediaan Barang Dengan Weight Moving Average Di Toko The Kids 24,” Proc. Konf. Nas. Sist. dan Inform., 2015.

I. Solikin, “SISTEM INFORMASI PERAMALAN PEMBELIAN STOK BARANG MENGGUNAKAN METODE SINGLE MOVING AVERAGE (SMA),” J. Cendikia, vol. 12, no. 1, pp. 18–22, 2016.

R. Rachman, “Penerapan Metode Moving Average Dan Exponential Smoothing Pada Peramalan Produksi Industri Garment,” J. Inform., vol. 5, no. 2, pp. 211–220, 2018.

T. Wedhasari, “Analisa Penggunaan Metode Peramalan Pada Perusahaan Retail Sistem Tradisional Market,” Sinergi J. Tek. Mercu Buana, vol. 19, no. 2, pp. 165–170, 2015.

M. P. K. Sugiyono, “Cara Mudah Menyusun: Skripsi.” Tesis dan Disertasi, Bandung: Alfabeta, 2014.

J. Noor, “Metodologi penelitian: skripsi.” tesis, disertasi, dan karya ilmiah, 2011.

H. Herdiansyah, “Wawancara, observasi, dan focus groups: Sebagai instrumen penggalian data kualitatif,” Jakarta PT. Raja Graf. Persada, 2013.

H. Hasanah, “TEKNIK-TEKNIK OBSERVASI (Sebuah Alternatif Metode Pengumpulan Data Kualitatif Ilmu-ilmu Sosial),” At-Taqaddum, vol. 8, no. 1, pp. 21–46, 2017.

I. Gunawan, “Metode penelitian kualitatif,” Jakarta Bumi Aksara, 2013.

R. M. Pressman, D. B. Sugarman, M. L. Nemon, J. Desjarlais, J. A. Owens, and A. Schettini-Evans, “Homework and family stress: With consideration of parents’ self confidence, educational level, and cultural background,” Am. J. Fam. Ther., vol. 43, no. 4, pp. 297–313, 2015.

D. Suwardiyanto, M. N. Shodiq, D. H. Kusuma, and T. O. Sari, “Sistem Prediksi Kebutuhan Obat di Puskesmas Menggunakan Metode Least Square,” J. Inform. J. Pengemb. IT, vol. 4, no. 1, 2019.

A. Anisya and Y. Wandyra, “Rekayasa Perangkat Lunak Pengendalian Inventori Menggunakan Metode SMA (Single Moving Average) Berbasis AJAX (Asynchronous Javascript and XML)(Studi Kasus: PTP Nusantara VI (Persero) Unit Usaha Kayu Aro),” J. TeknoIf, vol. 4, no. 2, 2016.

V. Gaspersz, “Production planning and inventory control,” PT Gramedia Pustaka Umum, Jakarta, 2004.

R. Agustina, “Stephen.(2015),” Anal. Fakt. yang Mempengaruhi Penerapan Konserv. Akunt. pada Perusah. Manufaktur yang Terdaftar di Bursa Efek Indones. SNA, vol. 18.

C. Baktiar, A. Wibowo, and R. Adipranata, “Pembuatan Sistem Peramalan Penjualan Dengan Metode Weighted moving average dan Double Exponential Smoothing Pada UD Y,” J. Infra, vol. 3, no. 1, p. pp-222, 2015.

P. Sulistyanto, O. Wahyunggoro, and A. I. Cahyadi, “Pengolahan Isyarat Load cell Menggunakan Metode Simple Moving Average Tingkat Dua dan Weighted moving average Tingkat Dua untuk Pencarian Titik Referensi,” J. Inov. dan Kewirausahaan, 2015.

A. Raharja, W. Angraeni, and R. A. Vinarti, “Penerapan Metode Exponential Smoothing Untuk Peramalan Penggunaan Waktu Telepon Di PT. Telkomsel Divre3 Surabaya,” J. Sist. Inf., 2010.




DOI: http://dx.doi.org/10.30591/jpit.v4i2.1373

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Terindeks oleh :

 

 http://ejournal.poltektegal.ac.id/public/site/images/informatika/Google_Scholar_logo.png

 

 

 

 

 

 

 

   ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Tim Redaksi JURNAL INFORMATIKA : JURNAL PENGEMBANGAN IT

Program Studi D4 Teknik Informatika
Politeknik Harapan Bersama Tegal
Jl. Mataram No.09 Pesurungan Lor Kota Tegal

Telp. +62283 - 352000

Email :
informatika.ejournal@poltektegal.ac.id

   

Copyright: JPIT (Jurnal Informatika: Jurnal Pengembangan IT) p-ISSN: 2477-5126 (print), e-ISSN 2548-9356 (online) 

Flag Counter
 
 
 
 
site
stats
 
View Visitor Statistic
 
 
 
 
 

 

Creative Commons License
JPIT (Jurnal Informatika: Jurnal Pengembangan IT) is licensed under a Creative Commons Attribution 4.0 International License.