scholarly journals An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction

2020 ◽  
Vol 10 (3) ◽  
pp. 71-97
Author(s):  
Mohammad Hasan Adalat ◽  
Reza Azmi ◽  
Jafar Bagherinejad
2019 ◽  
Vol 3 (1) ◽  
pp. 29
Author(s):  
Misdiyanto Misdiyanto

Electronic phone credit (pulsa) sales at this time showed an outstanding increase, because of the needs of phone credit usage every day by the society that has now became a need. Phone credit business will never stop because human always communicate with one another. To ensure the availability of the product in the phone credit server, the phone credit server manager routinely, in a particular period, inventorize the purchase of phone credit products. From the exploration above, the market conditions in a business are always changing, In a business. Process prediction is important for every business person in decision-making. Then, there is a need to build a prediction system that could predict phone credit transactions in the next period. Results or output of this system is predictive value of transactions in the next period with average error value of 4% using β1=0,5 and β2=0,2. Therefore, it can be used as a reference for the management in the decision-making.


2021 ◽  
Vol 11 (2) ◽  
pp. 864
Author(s):  
Junhyung Moon ◽  
Gyuyoung Park ◽  
Jongpil Jeong

In business process management, the monitoring service is an important element that can prevent various problems in advance from before they occur in companies and industries. Execution log is created in an information system that is aware of the enterprise process, which helps predict the process. The ultimate goal of the proposed method is to predict the process following the running process instance and predict events based on previously completed event log data. Companies can flexibly respond to unwanted deviations in their workflow. When solving the next event prediction problem, we use a fully attention-based transformer, which has performed well in recent natural language processing approaches. After recognizing the name attribute of the event in the natural language and predicting the next event, several necessary elements were applied. It is trained using the proposed deep learning model according to specific pre-processing steps. Experiments using various business process log datasets demonstrate the superior performance of the proposed method. The name of the process prediction model we propose is “POP-ON”.


Author(s):  
Dina Fitrianingrum ◽  
Sulastiningsih Sulastiningsih

The objective of the research is to evaluate performance of Madubaru firm. This research use the methode of Balanced Scorecard which balancing measurement of non finance performance and finance performance. In the perspective learning and growth emphasize on the education and employees training, and also employees satisfaction. In the perspective of internal business process, it emphasize at the the level of success and organizational development. In perspective of customer emphasize at the customer satisfaction. In perspective of finance can see from finance ratio. The research have result learning and growth perspective with good performance, internal business process perspective with very good performance, customer perspective with enough performance, financial perspective estimation with good performance. At general we can assesd performanced of Madubaru firm is good and expected to be improved again. Keyword : Balanced Scorecard, Learning and Growth Perspective, Internal Business Process Perspective, Customer Perspective, Financial Perspective.


2013 ◽  
pp. 25-30
Author(s):  
Arkadiusz Jurczuk

W artykule przedstawiono istotę i zasady oceny dojrzałości procesowej przedsiębiorstw oraz rolę modeli dojrzałości w podnoszeniu efektywności organizacji w kontekście paradygmatu Business Process Management. Zasadniczym celem poznawczym artykułu jest określenie zasad oceny dojrzałości według modelu CMMI oraz prezentacja nakładów i efektów wynikających z wdrożenia tego modelu. Wskazano także czynniki determinujące sukces wdrożenia modeli dojrzałości w praktyce biznesowej. (abstrakt oryginalny)


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