TY - GEN
T1 - Gap Analysis of Business Processes using Behavioral, Structural, and Semantic Similarity Calculations
AU - Cahyapratama, Afrianda
AU - Sarno, Riyanarto
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - Business process is a collection of all activities and tasks in achieving the goals of a company or an organization. This study aims to find the gap value obtained from the business process model matching technique. Process model matching can be used to identify similar processes or activities in a business process model. There are three things in finding similarities between each process model, including the similarity of label, structural similarity, and behavioral similarity. Probabilistic Latent Semantic Analysis is used to get the probability of topics. The calculation result of the probability of the document in the topic with the similarity value obtained is 0.063. Dice Coefficient is used to calculate the similarity of the structure of the business process model compared to showing the similarity results with a precision value of 0.695. Jaccard Coefficient is used to calculate the similarity of behavior of a business process model compared to showing the results of similarities with a precision value of 0.342. By looking at the precision value of the three mechanisms for measuring similarities, it can be said that business processes that are running are actually not in accordance with the business processes in the SOP.
AB - Business process is a collection of all activities and tasks in achieving the goals of a company or an organization. This study aims to find the gap value obtained from the business process model matching technique. Process model matching can be used to identify similar processes or activities in a business process model. There are three things in finding similarities between each process model, including the similarity of label, structural similarity, and behavioral similarity. Probabilistic Latent Semantic Analysis is used to get the probability of topics. The calculation result of the probability of the document in the topic with the similarity value obtained is 0.063. Dice Coefficient is used to calculate the similarity of the structure of the business process model compared to showing the similarity results with a precision value of 0.695. Jaccard Coefficient is used to calculate the similarity of behavior of a business process model compared to showing the results of similarities with a precision value of 0.342. By looking at the precision value of the three mechanisms for measuring similarities, it can be said that business processes that are running are actually not in accordance with the business processes in the SOP.
KW - business process
KW - dice coefficient similarity
KW - graph matching
KW - jaccard coefficient similarity
KW - probabilistic latent semantic analysis
UR - http://www.scopus.com/inward/record.url?scp=85074889716&partnerID=8YFLogxK
U2 - 10.1109/EIConCIT.2018.8878608
DO - 10.1109/EIConCIT.2018.8878608
M3 - Conference contribution
AN - SCOPUS:85074889716
T3 - Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018
SP - 192
EP - 196
BT - Proceedings - 2nd East Indonesia Conference on Computer and Information Technology
A2 - Haviluddin, Haviluddin
A2 - Wibawa, Aji Prasetya
A2 - Purnawansyah, Purnawansyah
A2 - Riza, Lala Septem
A2 - Azis, Huzain
A2 - Salim, Yulita
A2 - Malani, Rheo
A2 - Gaffar, Achmad Fanany Onnilita
A2 - Darwis, Herdianti
A2 - Astuti, Wistiani
A2 - Fattah, Farniwati
A2 - Satra, Ramdan
A2 - Herman, Herman
A2 - Hasanuddin, Tasrif
A2 - Manga, Abdul Rachman
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd East Indonesia Conference on Computer and Information Technology, EIConCIT 2018
Y2 - 6 November 2018 through 7 November 2018
ER -