Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Informatics, Electrical and Electronics Engineering
Winarti
Universitas Budi Darma, Medan
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Penerapan Metode Multivariate Analysis Of Covariance Dalam Jumlah Penumpang Mini Bus (Studi Kasus : CV. DR. Himpak Medan) Winarti
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current era of globalization and rapid economic development, means of transportation and communication are quite important needs, especially long and short distance transportation which have contributed the most to the needs of the community and government. The company CV.DR.HIMPAK Medan was given the task and authority to provide public transportation services for passengers and is a transportation vehicle that is much needed by people from all walks of life. The problem that often occurs in the world of transportation is the frequent occurrence of spikes or increases in passengers that can occur at any time, especially on important days such as Eid. For this reason, this research will create a system to predict the number of passengers using the Multivariate Analysis of Covariance method, which aims to make it easier to predict the number of passengers. This system helps CV.DR Himpak Medan so there is no more accumulation of passengers. For this reason, this research will create a system to predict the number of passengers using the Multivariate Analysis of Covariance method, which aims to make it easier to predict the number of passengers. with this system helps the parties CV.DR.Himpak Medan so that there is no more accumulation of passengers.
Co-Authors