Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 4: EECSI 2017

Scalability Measurement of Business Process Model Using Business Processes Similarity and Complexity

Muhammad Ainul Yaqin (Institut Teknologi Sepuluh Nopember State Islamic University of Maulana Malik Ibrahim)
Riyanarto Sarno (Institut Teknologi Sepuluh Nopember)
Abd. Charis Fauzan (Institut Teknologi Sepuluh Nopember)



Article Info

Publish Date
01 Nov 2017

Abstract

The scalability of business process model shows the ability of a system to handle the amount of provided   business   process   activity.   In   business process management, scalability is used to compare the size of a business process model to other business process models. This research focused on measuring the scalability of business process models. Every business  processes  were  modeled  using  Petri  Net. Petri Net was used as a business process model because of its simple model notation so it can be analyzed mathematically. The scalability of business processes had been done by comparing the similarity of some business processes and their scales. The similarity measurement method proposed were based on  structural  and  behavioral  using  Jaccard coefficient, whereas the number of elements of the business process model and control flow complexity were used to measure its scale. Then, the scale value (0..1) and the similarity of the business process model was calculated by the specified formula. The result is a scalability value where the greater the value of the scalability, then the growth potential of the business process is also greater.

Copyrights © 2017






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...