Internship Logbook Mining (Illustration in Politeknik Negeri Batam)

Abstract

Internship is a part of the job training for final-year student as one of graduation requirement. During internship, student has to make weekly report called logbook to monitor their activity in the office. Logbook contains basic internship information such as company details and students activity in the workday validated by the supervisor. This documents are very crucial to check whether the internship student get the appropriate workplace in term of company profile and daily tasks. Moreover logbook is able to determine what kind of job description offered by the Internship Company or institution. Student internship logbook monitored by the lecturer as their supervisor and coordinator to categorize student daily task. The supervisor and internship coordinator examine the logbook manually. The manual manner of logbook content identification is time consuming and inefficient. This research aims to tackle this problem by implementing text mining. Logbook contents is categorized by rule-based classifier. The solution is collaborating data mining technics and web-technology to classify logbook content automatically without too much effort.