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Figure 7. Alpha Algorithm Implementation Using 1% Data of The First Semester 2011/ 2012

Figure 7 Alpha Algorithm Implementation Using 1% Data of The First Semester 2011/ 2012

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Figure 2 shows the general structure of the event logs as well as the relationship between the definitions of a process with the tasks.
Figure 2 shows the general structure of the event logs as well as the relationship between the definitions of a process with the tasks.
Figure 1. Overview of Process Mining [2]
Figure 1. Overview of Process Mining [2]
Figure 3. Spaghetty-like model [5] Fuzzy mining algorithm is one of the process mining technique developed by Chistian W. Gunther [4] with adaptive simplification of the graph based on the metaphor of the map. Based on some studies done on the process model, it is found that the real process models in the system are usually less structured, unlike what had been expected. This doesn’t mean that the process model is wrong, but due to the lack of abstractions of which activities and relations are need to be shown, the process model will become spaghetty-like (Figure 3), which is a complex graph model that resemble spaghetty as resulted by alpha algorithm and heuristics mining. The presentation of this process model is of course difficult for us to be able to analyze the real business processes. Graph simplification as adapted in fuzzy miner is conceptually like a map, there are nodes in the map representing cities or regions and edges representing the roads connecting cities or regions. If all cities and roads are shown without any abstraction or constraint in the map, the user will be confuse to find a location info or a route from a place to another because there will be too many places and roads shown. That kind of map can be said as a bad map because it is too complex. The same problem occurs in the business process modelling, which is how to simplify a complex and unstructured topology.
Figure 3. Spaghetty-like model [5] Fuzzy mining algorithm is one of the process mining technique developed by Chistian W. Gunther [4] with adaptive simplification of the graph based on the metaphor of the map. Based on some studies done on the process model, it is found that the real process models in the system are usually less structured, unlike what had been expected. This doesn’t mean that the process model is wrong, but due to the lack of abstractions of which activities and relations are need to be shown, the process model will become spaghetty-like (Figure 3), which is a complex graph model that resemble spaghetty as resulted by alpha algorithm and heuristics mining. The presentation of this process model is of course difficult for us to be able to analyze the real business processes. Graph simplification as adapted in fuzzy miner is conceptually like a map, there are nodes in the map representing cities or regions and edges representing the roads connecting cities or regions. If all cities and roads are shown without any abstraction or constraint in the map, the user will be confuse to find a location info or a route from a place to another because there will be too many places and roads shown. That kind of map can be said as a bad map because it is too complex. The same problem occurs in the business process modelling, which is how to simplify a complex and unstructured topology.
At the beginning of the semester, each student must register in order to be able following the lectures. IT Telkom has defined standard process for the registration. The registration process can be described in Figure 4.
At the beginning of the semester, each student must register in order to be able following the lectures. IT Telkom has defined standard process for the registration. The registration process can be described in Figure 4.
According to the business function, student registration process in IT Telkom can be classified as operational activity. Based on the business process defined and the event log recorded can be concluded that registration process is a structured process. Therefore in this study, we tried to use Alpha algorithm. TABLE I. STUDENT REGISTRATION EVENT LoG EXAMPLE
According to the business function, student registration process in IT Telkom can be classified as operational activity. Based on the business process defined and the event log recorded can be concluded that registration process is a structured process. Therefore in this study, we tried to use Alpha algorithm. TABLE I. STUDENT REGISTRATION EVENT LoG EXAMPLE
From the Petri Net in Figure 5, there is no information can be obtained for evaluating student registration process, both from smaller data on the first semester 2011/ 2012 nor the bigger data on the second semester 2011/ 2012. Another algorithm which can be used based on paper [5] is fuzzy mining. That is why the next algorithm we used in this research is fuzzy mining. It is supported by the statements The result of implementing Alpha algorithm using ProM 6.3 of the data is shown as Petri Net in the Figure 5.
From the Petri Net in Figure 5, there is no information can be obtained for evaluating student registration process, both from smaller data on the first semester 2011/ 2012 nor the bigger data on the second semester 2011/ 2012. Another algorithm which can be used based on paper [5] is fuzzy mining. That is why the next algorithm we used in this research is fuzzy mining. It is supported by the statements The result of implementing Alpha algorithm using ProM 6.3 of the data is shown as Petri Net in the Figure 5.
Figure 6 shows process models of student registratior process using fuzzy mining. The result is more informative and can be used for evaluating registration process.
Figure 6 shows process models of student registratior process using fuzzy mining. The result is more informative and can be used for evaluating registration process.
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