Perbandingan Model Proses Algoritma Alpha dan Alpha++ Pada Aplikasi
E-commerce

Perbandingan Model Proses Algoritma Alpha dan Alpha++ Pada Aplikasi
E-commerce

Alpha, Alpha++, Process Discovery, Process mining, Event log, E-commerce

Utilization of information technology is currently growing rapidly in helping activities especially in storing an event log. The
activity which is behavior of the user can be analyzed using process mining. The process mining purpose to extract information
from event logs on business processes that working. Discovery technique is used in this research. The purpose of this study is
to compare two algorithms applied by creating an e-commerce application that is aware of the processes. E-commerce
applications require event logs to read the behavior of visitor activities against the application. This research method starts
from understanding the business processes that working, then designing a website by creating the application used.
Furthermore, data collection through applications that are promoted through social media. The application will be recorded
user activity and formed an event log. The event log that formed then discovered using alpha and alpha++ algorithms by
utilizing the ProM Lite 1.2 tools. The evaluation results show that the alpha algorithm has shortcomings, namely length one
loop, length two loop and non-free choice. And the alpha++ algorithm fixed this deficiency

Bambang Jokonowo1*, Miskah Alfiyyah Kulsum2
, Nita Komala3
,

Universitas Mercu Buana

: 27-02-2022

Fajar bagus W

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Indonesia

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