Academic Performance Prediction of Undergraduate Students using Decision Tree Algorithm

Data mining is a technique for extracting meaningful information or patterns from large amounts of data. These techniques are frequently utilised for analysis and prediction in practically all fields around the world. It's employed in a variety of fields, including education, business, health care, fraud detection, financial banking, and manufacturing engineering. This study explores the Decision Tree data mining methodology for predicting undergraduate students' academic performance.

The Functionalization of Law and Criminal Procedures to Confront Health Care Fraud in Hospitals

Fraud is a systematic crime that has a very broad impact. It can happen in any fields, including in hospitals. Fraud is a form of corruption. Hospital is a health service institution. Corruption in hospitals has the potential to lead to ineffective health services for people. The phenomenon of health care fraud in hospital is an indication the law does not function in accordance with the objective. This study aims to determine the functionalization of law and sentence for fraudulent acts as a form of corruption in hospitals based on justice values. This study is a descriptive study with normative juridical method that employed statutory and conceptual approaches. The data were collected through a literature study. It was subsequently analyzed qualitatively. This study is of the position to view that prosecution of criminal acts of corruption requires functionalization of law. The functionalization of law must be interpreted as positioning everything in its proper place. It is the synergy of the legal system, which consists of formulative, judicial, and executive policies. The criminal procedures can apply the punishment system for perpetrators of fraudulent acts in hospitals that includes extended alternative punishment.