IMPLEMENTATION OF DOUBLE EXPONENTIAL SMOOTHING HOLT METHOD IN FORECASTING COMMERCIAL RICE SALWS IN PERUM BULOG SUB DIVRE MEDAN

Venina Agustine, Zulfahmi Indra, Hamidah Nasution

Abstract


Logistics general company or Perum BULOG is a state-owned public company engaged in food logistics, especially rice. To carry out its functions, this agency is assisted by several regional divisions or subdivisions, one of which is the Medan Sub-Divisional Division having its address at Timbang Deli, Medan Amplas District, Medan City. Forecasting is a technique for estimating a value in the future by paying attention to historical data or current data. The purpose of this study is to analyze data based on historical data patterns and predict using the Double Exponential Smoothing Holt method by finding optimal parameters based on the smallest MAPE value. The results of this study obtained a graph of data patterns that experienced an upward trend so that it could be predicted using the Double Exponential Smoothing Holt method with optimal parameters , namely  dan  and based on the smallest MAPE value, which was 0,0418052 and also obtained the results of forecasting commercial rice sales at Perum BULOG Sub Divre Medan which will increase by 151,3 kg every month, namely in January 2022 by 865369 kg, in February 2022 by 865540,3 kg, in March 2022 by 865691,6 kg, in April 2022 by 865842,9 kg, in in May 2022 amounted to 865994,2 kg, and in June 2022 amounted to 866145,5 kg.


Keywords


Perum BULOG, sales forecasting, Double Exponential Smoothing Holt Method.

Full Text:

PDF

References


Afni, R.A., (2012): Pengaruh Lama Pengukusan dan Cara Penanakan Beras Pratanak Terhadap Mutu Nasi Pratanak, (Skripsi), Bogor, Fakultas Teknik Pertanian Institut Pertanian Bogor.

Ariyanto, Rudy., dkk., (2017): Penerapan Metode Double Exponential Smoothing Pada Peramalan Produksi Tanaman Pangan, Jurnal Informatika Polinema, 4(1).

Awwaliyah, Nurdina., (2013): Penerapan Metode Double Exponential Smoothing dalam Meramalkan Jumlah Penderita Kusta di Kabupaten Pasuruan Tahun 2014, (Skripsi), .

Bails, Dale G. dan Larry C. Peppers., (1982): Bussiness Fluctuations- Forecasting Techniques and Applications, Englewood Cliffs, Prentice-Hall, Inc.

Firdaus, M. R., (2017): Sistem Informasi Prediksi Harga Beli Insentif Cabai Menggunakan Metode Triple Exponential Smoothing, (Skripsi), .

Hartini, S., (2011): Teknik Mencapai Produksi Optimal, Bandung, Lubuk Agung.

Heizer, Jay dan Barry Render., (2017): Manajemen Operasi Edisi 11, Jakarta, Salemna Empat.

Islami, Prima A. N., (2019): Peramalan Permintaan Komoditi Komersial Dengan Metode Holt Winter dan ARIMA pada Perum BULOG Sub Divisi Regional VI Pekalongan, (LKP), Jakarta, Universitas Pertamina.

Isnayati, Mochamad A. S., (2017): Sistem Peramalan Penjualan Sepeda Motor Menggunakan Metode Trend Projection Pada PT. UD Prima Nusantara, Jurnal Sistem Informasi,

Krystianingrum, Eva Y. D., dkk., (2018): Efisiensi Persediaan Beras Pada Perusahaan Umum BULOG Divisi Regional Jawa Timur, (Skripsi), .

Makridakis, S., (1999): Metode dan Aplikasi Peramalan, Jakarta, Bina Aksara.

Ningtyas, Suci Retno., (2018): Aplikasi Metode Double Exponential Smoothing Holt dan ARIMA Untuk Meramalkan Voluntary Counseling and Testing (VCT) ODHA di Provinsi Jawa Timur, The Indonesian Journal of Public Health, 13(2).

Nurmaulidar, dkk., (2016): Penggunaan Metode Exponential Smoothing Untuk Meramalkan Persediaan Beras Pada BULOG Divre Aceh, Prosiding SEMIRATA Bidang MIPA 2016.

Pakaya, Sulastri R., (2018): Peramalan Penjualan Listrik dengan Membandingkan Metode Double Exponential Smoothing Brown dan Double Exponential Smoothing Holt, (Skripsi), .

Pujiati, S. R., (2018): Peramalan dengan Menggunakan Metode Double Exponential Smoothing dari Brown (Studi Kasus: Indeks Harga Konsumen (IHK) Kota Samarinda, Jurnal Exponensial, 7(1).

Rahman, Andi Nur dan Gerry Sastro., (2019): Analisis Peramalan Penjualan Produk Suplemen PT. Green World Global Pada E-Marketplace, Jurnal Statistika dan Matematika, 1(2).

Robial, Siti M., (2018): Perbandingan Model Statistik Pada Analisis Metode Peramalan Time Series (Studi Kasus: PT. Telekomunikasi Indonesia, TBK Kandatel Sukabumi), Jurnal Ilmiah SANTIKA, 8(2).

Sudjana., (1989): Statistika Matematika, Jakarta, Erlangga.

Wardah, Siti dan Iskandar., (2016): Analisis Peramalan Penjualan Produk Keripik Pisang Kemasan Bungkus (Studi Kasus: Home Industry Arwana Food Tembilahan), Jurnal Teknik Industri, XI(3).

Yulitasari, Astri., (2011): Perbandingan Metode Pemulusan Eksponensial Ganda Holt Dengan Metode Pemulusan Eskponensial Ganda Brown, (Skripsi).




DOI: http://dx.doi.org/10.30829/zero.v6i2.14033

Refbacks

  • There are currently no refbacks.


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

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

Department of Mathematics
Faculty of Science and Technology
Universitas Islam Negeri Sumatera Utara Medan 

Email: mtk.saintek@uinsu.ac.id

situs scatter hitam