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Journal : Jurnal Pilar Nusa Mandiri

PERBANDINGAN ALGORITMA C4.5, KNN, DAN NAIVE BAYES UNTUK PENENTUAN MODEL KLASIFIKASI PENANGGUNG JAWAB BSI ENTREPRENEUR CENTER Hasan, Fuad Nur; Hikmah, Noer; Utami, Dwi Yuni
Jurnal Pilar Nusa Mandiri Vol 14 No 2 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.696 KB) | DOI: 10.33480/pilar.v14i2.35

Abstract

BSI Entrepreneur Center is one of the organizations engaged in entrepreneurship within the Bina Sarana Informatika University with the aim of forming students who want to become entrepreneurs. Currently BSI Entrepreneur Center has had responsibility in each campus of Bina Sarana Informatika University. But the existing human resources have not been able to fulfill the needs as the person in charge of BSI Entrepreneur Center to be placed on each campus of Bina Sarana Informatika University. Therefore, a system is needed to find appropriate human resources to be in charge of the BSI Entrepreneur Center on each campus of the Bina Sarana Informatika University. This study uses primary data as many as 300 records consisting of 12 attributes with the algorithm method C.45, KNN and Naive Bayes to classify employees according to the existing criteria. And the results of this study are suggestions from employees who are eligible to be in charge of BSI Entrepreneurs Center on each campus of the Information Technology Development University with the Naive Bayes method which has a high accuracy of 80%.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK MENGETAHUI MINAT CUSTOMER DI TOKO HIJAB Yulianti, Yulianti; Utami, Dwi Yuni; Hikmah, Noer; Hasan, Fuad Nur
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.939 KB) | DOI: 10.33480/pilar.v15i2.650

Abstract

Hijab is not a foreign thing for the population in Indonesia, because most of the population of Indonesia is Muslim. Today, many business people, especially hijab sellers, provide a variety of brands and models in the hijab they sell. Therefore sellers are required to be able to think intelligently in making a sales strategy that will certainly be useful to know clearly which products are most in demand by customers, and also to increase sales in their stores. Then there needs to be an alternative that can realize the recording of sales transaction data more quickly and structured. In this study the authors applied the k-means algorithm to determine customer interest in the products they sell. In the calculation that has been done by using two parameters, namely the transaction and the number of sales and passing three iterations with the results of iterations one gets a ratio of 0.374324132, the iteration two gets the ratio 0.543018325, and the iteration three gets the same ratio value as second iteration. So it can be concluded that the hijab that is most desirable by the customers is the hijab with the brand Rabbani, Elzatta, and Zoya, the low-interest hijab branded by Dian Pelangi, Kami Idea, and Meccanism. And the hijab with those who are not high and also not low is the hijab under the brand Ria Miranda, Jenahara, Shasmira, and Shafira.