Anomaly detection in business processes using process mining and fuzzy association rule learning

R Sarno, F Sinaga, KR Sungkono - Journal of Big Data, 2020 - Springer
Much corporate organization nowadays implement enterprise resource planning (ERP) to
manage their business processes. Because the processes run continuously, ERP produces …

Auto-generating business process model from heterogeneous documents: A comprehensive literature survey

U Indahyanti, A Djunaidy… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Automatically generated business processes can be sourced from documents in the form of
structured text or natural language. Although there have been several studies discussing …

[PDF][PDF] A survey of graph-based algorithms for discovering business processes.

R Sarno, KR Sungkono - International Journal of …, 2019 - pdfs.semanticscholar.org
Analysts use their business process model to find out the latest business process and
become a reference for future development. Unfortunately, modification of a business …

Improving efficiency for discovering business processes containing invisible tasks in non-free choice

R Sarno, KR Sungkono, M Taufiqulsa'di… - Journal of Big Data, 2021 - Springer
Process discovery helps companies automatically discover their existing business
processes based on the vast, stored event log. The process discovery algorithms have been …

Incrementally predictive runtime verification

A Ferrando, G Delzanno - Journal of Logic and Computation, 2023 - academic.oup.com
Runtime verification is a lightweight formal verification technique used to verify the runtime
behaviour of software (resp. hardware) systems. Given a formal property, one or more …

Extending Graph-based Process Discovery for Hierarchical Block Detection and Incomplete Concurrent Relationship Handling

I Waspada, R Sarno, ES Astuti, HN Prasetyo… - IEEE …, 2023 - ieeexplore.ieee.org
The flow of business process activities in an organization can run simply in the form of
sequential or complex in the form of choice and parallel. In the discovery process, parallel …

Graph-based token replay for online conformance checking

I Waspada, R Sarno, ES Astuti, HN Prasetyo… - IEEE …, 2022 - ieeexplore.ieee.org
Conformance checking detects deviations in business process executions. An online
detection method is needed to give immediate response to anticipate possible impacts. The …

[HTML][HTML] Enhancing model quality and scalability for mining business processes with invisible tasks in non-free choice

KR Sungkono, R Sarno, BS Onggo… - Journal of King Saud …, 2023 - Elsevier
At present, business processes are growing rapidly, resulting in various types of activity
relationships and big event logs. Discovering invisible tasks and invisible tasks in non-free …

Automated modelling of discrete-event processes. Discovering Petri nets including silent transitions by classifying event traces

Y Álvarez-Pérez, E López-Mellado - International Journal of …, 2023 - Taylor & Francis
This paper addresses the problem of automated modelling of discrete-event processes from
event traces that capture the process behaviour. A novel method for building Petri nets (PN) …

[PDF][PDF] An improved method of parallel model detection for graph-based process model discovery

I Waspada, R Sarno, KR Sungkono - International Journal of …, 2020 - academia.edu
The existing method of graph-based process model discovery has weaknesses in detecting
parallel relationship (XOR, AND, and OR). The algorithm only works on a particular graph …