Sentiment analysis of restaurant customer reviews on tripadvisor using naïve bayes

RA Laksono, KR Sungkono, R Sarno… - … on information & …, 2019 - ieeexplore.ieee.org
Sentiment analysis is one method for classifying documents to identify positive or negative
opinions. Customer satisfaction has an essential point for customer service. Customer …

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 …

Coupled hidden Markov fusion of multichannel fast spectral coherence features for intelligent fault diagnosis of rolling element bearings

H Wang, C Li, W Du - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Comprehensive understanding for machinery health monitoring could be realized by
multisource information. Nevertheless, effective fusion of faulty features extracted from …

[PDF][PDF] Constructing control-flow patterns containing invisible task and non-free choice based on declarative model

KR Sungkono, R Sarno - … Journal of Innovative Computing, Information and …, 2018 - ijicic.org
Business processes can be modeled into declarative models and imperative models. The
declarative model provides rules to describe the relation of flexible processes and the …

[PDF][PDF] Graph-based algorithms for discovering a process model containing invisible tasks

R Sarno, KR Sungkono, R Johanes… - International Journal of …, 2019 - inass.org
An event log records the business processes of a company. Modeling event logs aim to help
users in analyzing business processes. One of the problems in modeling event logs …

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 …

[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 …

Identifying possible improvements of software development life cycle (sdlc) process of a bank by using process mining

S Taskesenlioglu, N Ozkan… - International journal of …, 2022 - World Scientific
Software development with its unique characteristics having knowledge-intensive and
human-oriented aspects and complex domains, challenges organizations. The timely …

[PDF][PDF] Modified Alpha++ algorithm for discovering the hybrid of non-free choice and invisible task of business processes

L Hakim, R Sarno, KR Sungkono - International Journal of …, 2019 - researchgate.net
Process discovery is a concern in analyzing business processes. Process discovery
methods handle many aspects, eg a hybrid of non-free choice and invisible task. A hybrid of …

Anomaly detection based on control-flow pattern of parallel business processes

H Darmawan, R Sarno, AS Ahmadiyah… - TELKOMNIKA …, 2018 - telkomnika.uad.ac.id
The purpose of this paper was to discover an anomalous-free business process model from
event logs. The process discovery was conducted using a graph database, specifically using …