ctrlnum 19637
fullrecord <?xml version="1.0"?> <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&#xD; MRANGGEN&#x2019;S MARKETING DIVISION&#xD; PERFORMANCE USING WEIGHTED&#xD; PRODUCT ALGORITHM</title><creator>SOEWARNO, MICHAEL JOSHUA</creator><subject>Marketing Management</subject><description>This project made to solve marketing employee performance calculation&#xD; and job status separation problem in Astra Mranggen. This system can calculate&#xD; performance of marketing employee and rank it separately based on job status.&#xD; This system used Weighted Product Algorithm to calculate employee&#xD; performance with following variables : Absence Rate, Cash Sales Results, Credit&#xD; Sales Results, Work Period and Job Status. The results then separated with if-else&#xD; function based on job status, then ranked from best to worst performance with&#xD; Bubble Sort Algorithm.&#xD; The system made in this project can handle employee performance&#xD; calculation and performance ranking more efficient than manual calculation.&#xD; 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&#x2019;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
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score 17.538404