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INFORMATION SYSTEM DESIGN FOR SMOOTHNESS OF CREDIT PAYMENTS AT BANK DANAMON Farida Gultom; Wahyudi
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.682 KB)

Abstract

Application developers and users are key to the market impact on application development. In developing applications, it is necessary to predict applications in the market accurately, accurate prediction results are very important in showing the rating and making the right decisions in the selection of new prospective debtors. The tests carried out in this test use a dataset of credit customers from Bank Danamon. In this study, predictions of the smooth rate of credit payments will be made by combining the Naïve Bayes and K-Nearest Neighbor methods. Prediction of the smooth rate of credit payments using a combination of the Naïve Bayes algorithm and K-Nearest Neighbor is able to predict the smoothness of credit payments in the future, this can be seen from the prediction results obtained by 80%.
A Network Administration on Windows Server 2016 at Aman Sari Village Office Farida Gultom
Journal of Science Technology (JoSTec) Vol. 3 No. 1 (2021): Journal of Science Technology (JoSTec)
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jostec.v3i1.192

Abstract

In today's era, technological developments are very influential for offices, schools, and companies. Now technology has been widely used especially in the world of communication and information that already uses computer networks to accelerate fast and efficient data transmission. All components incorporated in a computer network must support each other to produce a good and easy system to serve customers. Network is always useful and helps in increasing the effectiveness and efficiency.