Higher education by the government require data and information for decision making in the development of higher education. This study aimed to assess the grouping and mapping universites based data of higher education that have been documented in higher education database. Data of higher education that had been documented in PD Dikti, that are the number of students, the ratio of the average GPA to maximum GPA, the number of department, the average number of students per department, the ratio of lecturer to student, the ratio of tenured lecturer to total lecturer, the ration of associate professor to professor, the ratio of certified lecturer, the ratio of lecturer titled master degree, the ratio of lecturer titled doctorate degree. These...
The aim of analysis of Higher Education Profile in Bali province is to understand the condition of h...
Understanding the urgency of education makes people begin to have awareness to complete compulsory e...
There are three income categories for Malaysians: the top 20% (T20), the middle 40% (M40), and the b...
Abstract Big data is increasingly being promoted as a game changer for the future of science, as the...
The purpose of descriptive research is to determine the objective conditions of the problems and con...
This data article presents an important bibliometric dataset of ten Indonesian leading educational u...
PAbstrak Politeknik Statistika STIS sebagai organisasi pendidikan tinggi harus memenuhi kebutuhan da...
Information technology advances very rapidly at this time to generate thousands or even millions of ...
This paper seeks to find out agglomeration of higher education institutions in Java. Using logistic ...
Data is a collection of information that contains a broad picture related to a situation. The amount...
This data article presents an important bibliometric dataset of ten Indonesian leading educational u...
Distribution of education in Indonesia has become government's attention for a long time. But until ...
The differences in academic achievement among students are a topic that has drawn interest of many a...
Abstract-Data mining is a powerful analytical tool that enables educational institutions to better a...
IDENTIFIERS *Indonesia This research project was designed to study the present situation and functio...
The aim of analysis of Higher Education Profile in Bali province is to understand the condition of h...
Understanding the urgency of education makes people begin to have awareness to complete compulsory e...
There are three income categories for Malaysians: the top 20% (T20), the middle 40% (M40), and the b...
Abstract Big data is increasingly being promoted as a game changer for the future of science, as the...
The purpose of descriptive research is to determine the objective conditions of the problems and con...
This data article presents an important bibliometric dataset of ten Indonesian leading educational u...
PAbstrak Politeknik Statistika STIS sebagai organisasi pendidikan tinggi harus memenuhi kebutuhan da...
Information technology advances very rapidly at this time to generate thousands or even millions of ...
This paper seeks to find out agglomeration of higher education institutions in Java. Using logistic ...
Data is a collection of information that contains a broad picture related to a situation. The amount...
This data article presents an important bibliometric dataset of ten Indonesian leading educational u...
Distribution of education in Indonesia has become government's attention for a long time. But until ...
The differences in academic achievement among students are a topic that has drawn interest of many a...
Abstract-Data mining is a powerful analytical tool that enables educational institutions to better a...
IDENTIFIERS *Indonesia This research project was designed to study the present situation and functio...
The aim of analysis of Higher Education Profile in Bali province is to understand the condition of h...
Understanding the urgency of education makes people begin to have awareness to complete compulsory e...
There are three income categories for Malaysians: the top 20% (T20), the middle 40% (M40), and the b...