Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
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This Author published in this journals
All Journal International Journal Of Computer, Network Security and Information System (IJCONSIST)
Kartika Maulida Hindrayani
UPN "Veteran" Jatim
Computer Science & IT

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Business Intelligence for Educational Institution : A Literature Review Kartika Maulida Hindrayani
IJCONSIST JOURNALS Vol 2 No 1 (2020): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.985 KB) | DOI: 10.33005/ijconsist.v2i1.32

Abstract

Educational institution is one of the organizations that should manage data to improve decision making. Students, department, research, and community services, are the data that should be managed in education. Those data could help in accreditation, marketing, and operational process. Business Intelligence (BI) helps visualize a huge amount of data. Executives will easily understand what the data try to imply in graphics. In this research, literature review about BI in educational organization will be conducted.
Determining Students Preparation for College Entrance Examinations in Indonesia From Twitter Data Using Exploratory Data Analysis Kartika Maulida Hindrayani; Tresna Maulana F; Prismahardi Aji R; Kartini
IJCONSIST JOURNALS Vol 2 No 02 (2021): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.744 KB) | DOI: 10.33005/ijconsist.v2i02.47

Abstract

Nowadays, educational data can be learned not only for those in Education but also in Information Technology. This happened because education and technology can no longer be separated. Senior high school graduates will take College Entrance Examination to be admitted to public institutions in Indonesia. Sometimes, they share their progress, target, and complain on social media. In this research, we collected data from Twitter. We explore the data to determine student's preparation using Exploratory Data Analysis. The results are positive words in both English and Indonesia, word count, word cloud, and geographical data plot.
Co-Authors Kartini Prismahardi Aji R Tresna Maulana F