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Divisi Business Service (DBS) is one of division in PT. Telekomunikasi Indonesia (PT. Telkom). DBS- scope of work isresponsible in handling Small Medium Enterprise (SME) customer. In 2018, DBS closed the year with 79% in collection rate. This rate had been declining from prior years. Moreover, compared to other divisions in Telkom Group, DBS had the smallest number. This number has inflicted financial loss to Telkom of IDR 580 Billion. Low rate of collection rate mostly caused by bad customer assessment which is done in the beginning of sales process. From those facts, this research is determined to give better alternative in the customer assessment process by implementing credit scoring model. The model will be derived by using logistic regression method. As the first step, several variables in financial and non-financial, which are estimated to affect the customer worthiness, would be determined by doing research in other companies- best practice and interviewing several stakeholders in customer assessment process. In order to find the best combination to develop the model, some of the variables later would be eliminated by using multivariate test. Then, the model will be developed from those variables by using logistics regression method. This model has to be assessed by several test in order to see how accurate the model is. Those tests are ROC Curve, Omnibus Test, Nagelkerke R Square, Hosmer and Lemeshow Test, and Classification Plot. As the result, there are 3 financial and 3 non-financial variables which are affect the customer worthiness. Moreover, it has been proven that the model developed could represent the real condition, thus can be implemented.