TEST OF DATA QUALITY OF THE DATABASE OF MANAGEMENT INFORMATION SYSTEM OF COKROAMINOTO PALOPO UNIVERSITY

Information system can not be separated with database. What is shown by system is the result of data processing in database. The needs of quick and flexible information make humanfind new things of data processing. They have been minimalizing paper use and change it with digital data saved in one computer as data centre. Now, most of system information already use Relational Database Management System (RDBMS). Compared with office application such as Microsoft Office Excel, RDBMS has spesial advantage, but itneeds maximum effort to implement it. The information generated by information system relies on existing data in the database, so that the quality of the data in the database is very influential.This research was conducted to test the quality of the data from the database Management Information System of Cokroaminoto Palopo University is the data of students and lecturers. This study uses data of students and lecturers taken from the student and lecturer tables inside database Management Information System of Cokroaminoto Palopo University. The test results indicate that the data quality of the students and lecturers data does not reach 100

Author-Topic Modeling of DESIDOC Journal of Library and Information Technology (2008-2017), India

This study presents a method to analyze textual data and applying it to the field of Library and Information Science. This paper subsumes a special case of Latent Dirichlet Allocation and Author-Topic models where each article has one unique author and each author has one unique topic. Topic Modeling Toolkit is used to perform the author-topic modeling. The study further which considers topics and their changes over time by taking into account both the word co-occurrence pattern and time. 393 full-text articles were downloaded from DESIDOC Journal of Library and Information Technology and were analyzed accordingly. 16 core topics have been identified throughout the period of ten years. These core topics can be considered as the core area of research in the journal from 2008 to 2017. This paper further identifies top five authors associated with the representative articles for each studied year. These authors can be treated as the subject-experts for the modeled topics as indicated. The results of the study can serve as a platform to determine the research trend; core areas of research; and the subject-experts related to those core areas in the field the Library and Information Science in India