This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...

Chronic Kidney Disease (CKD) is currently a worldwide chronic disease with an increasing incidence, prevalence and high cost to health systems. A delayed recognition prevention often lead premature mortality due progressive incurable loss of kidney function. Data mining classifiers employment discover patterns in CKD indicators would contribute early diagnosis that allow patients prevent such s...

Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...

Kebutuhan masyarakat DKI Jakarta terhadap beras cukup tinggi. Hal ini berdasarkan kegemaran Indonesia untuk memilih nasi sebagai makanan pokoknya sehingga daya beli besar. Beras premium merupakan salah satu jenis yang memiliki kualitas terbaik. Banyak kalangan dari tipe bahan pokok di tempatnya masing-masing
 . Sebagai negara memproduksi serta berada lingkungan negara-negara tetangga juga ...

The approach of visitor sentiment analysis to Borobudur Temple tourist destinations in Indonesia can be classified using various algorithms get optimal results. Good algorithm performance seen from the confusion matrix (accuracy, precision, recall) value, Area Under Curve (AUC) and Receiver Operating Characteristic (ROC). This study used Naïve Bayes Classifier (NBC), Decision Tree (DT), Support...

The increasingly vast number of marketing campaigns over time has reduced its effect on the general public. Furthermore, economical pressures and competition has led marketing managers to invest on directed campaigns with a strict and rigorous selection of contacts. Such direct campaigns can be enhanced through the use of Business Intelligence (BI) and Data Mining (DM) techniques. This paper de...