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ITS » Paper and Presentation » S2 Teknik Informatika
Posted by aprill@is.its.ac.id at 30/12/2014 18:35:10  •  1064 Views


ANALISIS KINERJA ALGORITMA PENGGALIAN PROSES UNTUK PEMODELAN PROSES BISNIS PERENCANAAN PRODUKSI DAN PENGADAAN MATERIAL PADA PT. XYZ DENGAN KRITERIA CONTROL-FLOW

PERFORMANCE ANALYSIS OF PROCESS MINING ALGORITHM IN MODELLING OF PRODUCTION PLANNING AND MATERIAL MANAGEMENT BUSINESS PROCESS AT PT.XYZ USING CONTROL-FLOW CRITERIA

Author :
ANDRESWARI, RACHMADITA ( 5111202910 )




ABSTRAK

Pengunaan aplikasi ERP saat ini telah banyak dilakukan oleh perusahaan untuk meningkatkan kinerja dari proses bisnis yang dijalankan. Melalui aplikasi ERP akan dihasilkan sebuah event log yang berisi rekaman bagaimana setiap aktivitas pada proses bisnis sebenarnya dilakukan oleh pengguna pada sistem. Event log dapat digunakan perusahaan untuk memodelkan proses bisnis yang sedang berjalan. Pemodelan proses bisnis menggunakan menggunakan event log memerlukan sebuah metode yaitu process mining penggalian proses. Saat ini riset mengenai process mining telah berkembang pesat. Namun belum pernah dilakukan penelitian untuk menganalisis kinerja algoritma penggalian proses ditinjau dari kriteria control-flow pada proses bisnis berbeda yang terintegrasi dalam satu aplikasi ERP. Pada penelitian tesis ini akan dilakukan perbandingan kinerja dari empat algoritma penggalian proses yaitu alpha duplikat genetika genetika dan heuristic miner pada dua proses bisnis SAP yaitu production planning dan material management. Pertama event log dari dua proses bisnis diekstraksi dari PT.XYZ. Kemudian event log diproses dengan aplikasi penggalian proses yaitu ProM. Setelah dihasilkan model proses dilakukan evaluasi menggunakan conformance checking metrik F-score dan evaluasi kemampuan dalam menangani control-flow. Hasil yang didapatkan dari penelitian ini menunjukkan bahwa algoritma terbaik dilihat dari analisis kinerja pada perencanaan produksi adalah algoritma duplikat genetika dan pada pengadaan material adalah adalah heuristic miner. Algoritma yang mempunyai kemampuan baik dalam menangani kriteria control-flow adalah heuristic miner. Secara umum dari penelitian tesis ini didapatkan kesimpulan bahwa algoritma heuristic miner mempunyai kinerja yang tinggi kemampuan menangani control-flow yang baik dan waktu pemodelan yang singkat.


ABSTRACT

Many companies today implement ERP systems to carry out its business processes. The use of ERP systems will produce an event log that contains the records of how each activities in the business processes is actually carried out by the users of the systems. The event log can be used by the company to model their business processes. Modelling of a business process using event log requires a method called process mining. Research on process mining has been growing rapidly. However there has not any studies that analyze the performance of the different process mining algorithm in terms of control-flow in different business processes within an ERP application. This thesis conduct a performance comparison of four process mining algorithms namely Alpha Duplicate Task Genetics Genetic and Heuristic Miner on two SAP business processes i.e. production planning and materials management. First the event logs of the two business processes are extracted from PT. XYZ. Then the event logs are processed by process mining application called ProM. After the model processes are generated evaluated using the conformance checking f-score metrics and evaluation of the ability to handle control-flow. Findings from the research shows that the best algorithm according to conformance checking in production planning is duplicate task genetics while the heuristic miner is the best algorithm for materials management. Algorithm that has a good ability in handling control-flow is heuristic miner. Overall it was also found that heuristic miner is able to handle control flow gives high performance to model the business process and achieve it in a short running period.



Keywordspenggalian proses; algoritma penggalian proses; control-flow; SAP
 
Subject:  algoritma bisnis enteprises
Contributor
  1. MAHENDRAWATHI ER, S.T., M.Sc., Ph.D
Date Create: 30/12/2014
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-paper-51121140006742
Collection ID: 51121140006742
Call Number: RTIf 005.1 And a


Source
Paper and Presentations, Informatics Engineering, RTIf 005.1 And a, 2014

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Copyright @2014 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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