The X clinic that was one of the pioneers in the aesthetics clinic in Indonesia, had much experienced manpower. In a supplied manner this experience, the doctors and the nurse could to the X clinic serve consultations and could give the suggestion or the recommendation to the customer for the following maintenance. This matter gave comfort for the customer to take the decision. However, not all the customers had time that was enough to consult with the doctor. With used Free Span, one of the algorithms in the method sequential pattern mining was expected to be able to satisfy the requirement for the clinic customer of X. The use of sequential pattern mining in this recommendation system could help the doctor in increasing the recommendation, and helping the customer in taking the decision. This algorithm used the historic data the maintenance of the available customer. Results that were given in this program took the form of the pattern that in accordance with the available situation to the clinic of X. The result of the recommended selected based on existing customer categories, namely gender, priority customers in the clinic, and age range. Expected with the available category to be able to give the recommendation that agreed with the customer’s available criterion.
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- Sequential Pattern Mining Application to Support Customer Care “X” Clinic
- Springer Berlin Heidelberg
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