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ITS » Non Degree » Statistika - D3 Posted by dv@its.ac.id at 14/04/2016 14:59:30 • 1569 Views
TIME SERIES ANALYSIS TO MOTORCYCLE TIRE SALES IN PUTRA JAYA MOTORS BANGKALAN STORE USING ARIMA BOX-JENKINS METHODS
Author : SYASAFA AH, MULAZIMATUS ( 1311030021 )
ABSTRAK
Ban merupakan bagian dari roda kendaraan yang bersentuhan langsung
dengan permukaan jalan. Mengingat pentingnya kerja ban perlu diperhatikan
kondisi ban mulai dari tekanan angin kondisi alur-alur ban maupun keseimbangan balance putarannya. Sehingga sewaktu-waktu membutuhkan pengecekan atau pemeriksaan untuk mengetahui kondisi dan kelayakan ban masih layak digunakan atau harus diganti mengingat bahwa pentingnya pengetahuan pengelola dalam memperkirakan seberapa besar jumlah penjualan ban luar pada periode
mendatang untuk itu dalam penelitian ini dilakukan analisis time series terhadap penjualan ban luar sepeda motor di Toko Putra Jaya Motor Bangkalan agar pihak pengelola dapat memperkirakan seberapa banyak jumlah ban luar sepeda motor yang harus di sediakan di Toko Putra Jaya Motor Bangkalan. Data yang digunakan dalam penelitian ini merupakan data sekunder yang diperoleh dari Toko Putra Jaya
Motor Bangkalan dengan jenis produk ban luar sepeda motor dari hasil laporan
penjualan ban luar merk FDR dan IRC perminggu periode penjualan mulai Bulan
Agustus 2012 hingga Bulan Desember 2013. Secara keseluruhan dari hasil
Statistika deskriptif diperoleh nilai rata-rata mean penjualan ban luar sepeda motor tertinggi yaitu ban merk FDR dengan nilai rata-rata penjualan sebesar 32 biji Persebaran data untuk penjualan kedua merk ban luar sepeda motor yaitu FDR dan IRC beragam dari kedua merk ban tersebut merk yang memiliki nilai range tertinggi yaitu ban merk FDR yang selisih penjualannya mencapai 52. Model Yang didapatkan untuk variabel tigkat penjualan ban luar merk FDR yaitu ARIMA 402 Sedangkan untuk variabel tigkat penjualan ban luar merk IRC yaitu
ARIMA 100. Kedua peramalan 4 periode mendatang untuk penjualan ban luar merk FDR dan IRC tersebut dapat digunakan sebagai acuan tingkat penjualan ban luar merk FDR dan IRC di Toko Putra Jaya Motor Bangkalan.
ABSTRACT
Tires are part of the vehicles wheels are in direct contact with
the road surface . Given the importance of tires to note the condition of
tires ranging from wind pressure the condition of the tire grooves and
equilibrium balance rotation . So that at any time require checking or
inspection to determine the condition and feasibility of tires still fit for
use or must be replaced given that the importance of managing
knowledge in estimating how large the amount of tire sales in the
coming period for it was in this study conducted a time series analysis
of the sales motorcycle tires in Putra Jaya Motor Stores Bangkalan so
that the manager can estimate how much the number of motorcycle tires
which must be supplied in Putra Jaya Motor Bangkalan Store . The data
used in this study is a secondary data obtained from Putra Jaya Motor
Stores Bangkalan with the product type motorcycle tire tire sales
reports from outside brands FDR and IRC weekly sales period began in
August 2012 to December 2013. Overall of descriptive Statistics results
obtained average value mean sales of high motorcycle tire is the tire
brand FDR with an average value of 32 seed sales Distribution sales
data for the two brands of motorcycle tires that FDR and IRC diverse
from both brands the tire brand that has the highest value of the range
that the difference FDR tire brand sales reached 52 . Models Yang
obtained for the variable tigkat sale FDR tire brands namely ARIMA
4 02 while for sales tigkat variables IRC tire brands ie ARIMA
100 . 4 Both forecasting future periods brands for sale FDR tire and
the IRC can be used as a reference rate of sale FDR tire brands and IRC
in Putra Jaya Motor Bangkalan Store.
Keywords:
Statistika Deskriptif dan ARIMA
Subject
: Time- series analysis
Contributor
Dr. Drs. Agus Suharsono, MS
Date Create
: 14/04/2016
Type
: Text
Format
: pdf
Language
: Indonesian
Identifier
: ITS-NonDegree-13102150001451
Collection ID
: 13102150001451
Call Number
: RSSt 519.55 Sya a
Source none
Coverage ITS Community
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