Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...

Student achievement is measured by the index value obtained every semester,student several factors, and in this research author takes factors including study paths, choice of majors, monthly living expenses, relationships with friends, family, motivation study, employment, scholarships, transportation, internet services. Analysis prediction student using Naïve Bayes Algorithm classification met...

Recent advancements in drone technology are opening new opportunities and applications: various fields of life especially the form small drones. However, these also causing challenges terms security, adaptability, consistency. Small drones proving to be a opportunity for civil military industries. The suffering from architectural issues definition security safety issues. rapid growth Internet t...

The growth of credit card application needs to be balanced with the anticipation of bad credit risk because it does not use security collateral as warranty. The usage of credit scoring can be used to help the credit risk analysis in determining the applicant's eligibility. Data mining has been proven as a valuable tool for credit scoring. The aim of this research is to design a data mining mode...

Purpose: The tourism potential in the maritime sector can be Indonesia's mainstay at this time, especially enjoying charm of natural beauty coast as people know Indonesia is an archipelagic country. purpose study to find best model by applying feature selection genetic algorithm (GA) and Information Gain (IG) get Naïve Bayes (NB) features produce level sentiment classification accuracy.Methods:...