Article Per Year (5 Year)
p-Index From 2019 - 2024
2.049
P-Index
This Author published in this journals
All Journal JURNAL ILMIAH MANAJEMEN BISNIS DAN TERAPAN Jurnal Ekonika : Jurnal Ekonomi Universitas Kadiri Efektor JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS JPPI (Jurnal Penelitian Pendidikan Indonesia) Jurnal Ekuivalensi Jurnal Agriovet Jurnal Abdimas Akademika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Citra Kuliah Kerja Nyata Jurnal Penelitian Pendidikan Indonesia
Samari Samari
Fakultas Ekonomi Dan Bisnis Universitas Nusantara PGRI Kediri
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Transportation Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS

 1 
Komparasi Model Single Moving Avarage & Exponential Smoothing Untuk Peramalan Penjualan AMDK NuClees Rony Kurniawan Kurniawan; Samari Samari; Sigit Ratnanto
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 7 No 1 (2022): j
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v7i1.17740

Abstract

This study aims to (1) forecast the demand for NUCless bottled drinking water in the Nganjuk Regency market. (2) Find the suitable model by comparing the most accurate results from the Moving Average model and the Exponential Smoothing model. Meanwhile, to test the accuracy of the casting results, apply a control tracking signal and test the mean absolute deviation (MAD) error values, mean square error (MSE), and mean fundamental percentage error (MAPE). This research data is a time series with a seasonal pattern from January to December 2021. The results of this study place the Single Moving Average model better than the results of the Exponential Smoothing model. This is based on the results of the control tracking signal Smoothing model test results that there are deviations. In contrast, the results of the MSE, MAD, and MAPE accuracy tests of data deviations in the Single Moving Average model are lower than the results of the Exponential Smoothing model, so these results reject the results of several previous researchers who rely on the Exponential Smoothing model instead of the Exponential Smoothing model. Single Moving Average to forecast sales. Keywords: Comparison, Moving Average Model, Exponential Smoothing Model
Co-Authors Azriel Akbar Firman Syah Badrus Zaman Bambang Agus Sumantri Basthoumi Muslih Dhiyan Septa Wihara Dodi Kusuma Hadi Soejoko Dyah Ayu Paramitha Ema Nurzainul Hakimah, Ema Nurzainul Faisol Faisol Hebi Irawan HERY PURNOMO Kurniawan, Rony Linawati Linawati M. Yuda Trinuraisi Mochammad Al Farizi Moh Farih Fauzi Nasrul Saifudin Nugroho Wisma Nurpanto Nur Solikin RESTIN MEILINA Rino Sardanto Sigit Ratnanto Sri Aliami Subagyo, Subagyo Sugiono Sugiono Suhardi Suhardi Susi Damayanti Tito Pangestu Zulistiani, Zulistiani