Analisis Peramalan Produksi dan Penjualan Mobil LCGC Di Indonesia

IMANSYAH, YAHYA (2024) Analisis Peramalan Produksi dan Penjualan Mobil LCGC Di Indonesia. S2 thesis, Universitas Mercu Buana Jakarta.

[img]
Preview
Text (HAL COVER)
01 COVER.pdf

Download (438kB) | Preview
[img]
Preview
Text (ABSTRAK)
02 ABSTRAK.pdf

Download (173kB) | Preview
[img] Text (BAB I)
03 BAB 1.pdf
Restricted to Registered users only

Download (290kB)
[img] Text (BAB II)
04 BAB 2.pdf
Restricted to Registered users only

Download (442kB)
[img] Text (BAB III)
05 BAB 3.pdf
Restricted to Registered users only

Download (274kB)
[img] Text (BAB IV)
06 BAB 4.pdf
Restricted to Registered users only

Download (1MB)
[img] Text (BAB V)
07 BAB 5.pdf
Restricted to Registered users only

Download (201kB)
[img] Text (DAFTAR PUSTAKA)
08 DAFTAR PUSTAKA.pdf
Restricted to Registered users only

Download (221kB)
[img] Text (LAMPIRAN)
09 LAMPIRAN.pdf
Restricted to Registered users only

Download (506kB)

Abstract

This research aims to analyze the forecasting of LCGC car production and sales. The population of this research is LCGC cars circulating in Indonesia, with sample data on wholesale sales, retail sales, and production of LCGC cars from Toyota, Daihatsu, and Honda in Indonesia. The data analysis method uses POM QM for Windows. The research results found that there are 4 time series and causal forecasting methods: Trend, Moving Average, Exponential Smoothing, and Linear Regression. The Exponential Smoothing method has the best level of accuracy. with respective alpha values for Wholesale α=0.51, Retail Sales α=0.37, Production α=0.70. The implications of this research are discussed in the article. Penelitian ini bertujuan untuk menganalisis peramalan produksi dan penjualan mobil LCGC. Populasi dari penelitian ini adalah mobil LCGC yang beredar di Indonesia, dengan sampel data penjualan wholesale, retail sales dan produksi mobil LCGC dari Toyota, Daihatsu dan Honda di Indonesia. Metode analisis data menggunakan POM QM for Windows. Hasil penelitian menemukan bahwa dari 4 metode peramalan time series dan kausal: Trend, Moving Average, Exponential Smoothing, dan Regresi Linear. Metode Exponential Smoothing yang memiliki Tingkat keakuratan paling baik, dengan masing-masing nilai alpha untuk Wholesale α=0,51, Retail Sales α=0,37, Production α=0,70. Implikasi dari penelitian ini dibahas dalam artikel.

Item Type: Thesis (S2)
Call Number CD: CD/551. 24 061
NIM/NIDN Creators: 55122110051
Uncontrolled Keywords: Forecast, Trend, Exponential Smoothing, Moving Average, Regresi Linear
Subjects: 100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 154 Subconscious and Altered States and Process/Psikologi Bawah Sadar > 154.6 Sleep Phenomena/Fenomena Tidur > 154.63 Dreams/Mimpi > 154.634 Analysis/Analisis
300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi
Divisions: Pascasarjana > Magister Manajemen
Depositing User: ANANDA NADIRA PUTRI
Date Deposited: 05 Sep 2024 07:02
Last Modified: 05 Sep 2024 07:02
URI: http://repository.mercubuana.ac.id/id/eprint/91201

Actions (login required)

View Item View Item