CALCULATION OF ASTRA MRANGGEN’S MARKETING DIVISION PERFORMANCE USING WEIGHTED PRODUCT ALGORITHM
ctrlnum |
19637 |
---|---|
fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unika.ac.id/19637/</relation><title>CALCULATION OF ASTRA
MRANGGEN’S MARKETING DIVISION
PERFORMANCE USING WEIGHTED
PRODUCT ALGORITHM</title><creator>SOEWARNO, MICHAEL JOSHUA</creator><subject>Marketing Management</subject><description>This project made to solve marketing employee performance calculation
and job status separation problem in Astra Mranggen. This system can calculate
performance of marketing employee and rank it separately based on job status.
This system used Weighted Product Algorithm to calculate employee
performance with following variables : Absence Rate, Cash Sales Results, Credit
Sales Results, Work Period and Job Status. The results then separated with if-else
function based on job status, then ranked from best to worst performance with
Bubble Sort Algorithm.
The system made in this project can handle employee performance
calculation and performance ranking more efficient than manual calculation.
Keyword: Performance Calculation, Ranking, Weighted Product, Bubble Sort.</description><date>2019</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/1/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20COVER.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/2/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20I.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/3/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20II.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/4/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20III.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/5/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20IV.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/6/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20V.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/7/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20VI.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/8/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20DAPUS.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/19637/9/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20LAMP.pdf</identifier><identifier> SOEWARNO, MICHAEL JOSHUA (2019) CALCULATION OF ASTRA MRANGGEN’S MARKETING DIVISION PERFORMANCE USING WEIGHTED PRODUCT ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG. </identifier><recordID>19637</recordID></dc>
|
language |
eng |
format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
author |
SOEWARNO, MICHAEL JOSHUA |
title |
CALCULATION OF ASTRA
MRANGGEN’S MARKETING DIVISION
PERFORMANCE USING WEIGHTED
PRODUCT ALGORITHM |
publishDate |
2019 |
topic |
Marketing Management |
url |
http://repository.unika.ac.id/19637/1/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20COVER.pdf http://repository.unika.ac.id/19637/2/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20I.pdf http://repository.unika.ac.id/19637/3/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20II.pdf http://repository.unika.ac.id/19637/4/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20III.pdf http://repository.unika.ac.id/19637/5/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20IV.pdf http://repository.unika.ac.id/19637/6/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20V.pdf http://repository.unika.ac.id/19637/7/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20BAB%20VI.pdf http://repository.unika.ac.id/19637/8/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20DAPUS.pdf http://repository.unika.ac.id/19637/9/14.K1.0019%20MICHAEL%20JOSHUA%20SOEWARNO%20%281.74%29..pdf%20LAMP.pdf http://repository.unika.ac.id/19637/ |
contents |
This project made to solve marketing employee performance calculation
and job status separation problem in Astra Mranggen. This system can calculate
performance of marketing employee and rank it separately based on job status.
This system used Weighted Product Algorithm to calculate employee
performance with following variables : Absence Rate, Cash Sales Results, Credit
Sales Results, Work Period and Job Status. The results then separated with if-else
function based on job status, then ranked from best to worst performance with
Bubble Sort Algorithm.
The system made in this project can handle employee performance
calculation and performance ranking more efficient than manual calculation.
Keyword: Performance Calculation, Ranking, Weighted Product, Bubble Sort. |
id |
IOS2679.19637 |
institution |
Universitas Katolik Soegijapranata |
institution_id |
334 |
institution_type |
library:university library |
library |
Perpustakaan Universitas Katolik Soegijapranata |
library_id |
522 |
collection |
Unika Repository |
repository_id |
2679 |
subject_area |
Akuntansi Arsitektur Ekonomi |
city |
SEMARANG |
province |
JAWA TENGAH |
repoId |
IOS2679 |
first_indexed |
2019-07-21T04:19:36Z |
last_indexed |
2019-08-11T06:59:47Z |
recordtype |
dc |
_version_ |
1765771853419249664 |
score |
17.538404 |