Jurnal
The Use of Panel Data Regression to Identify Students’ Reading Interest in the Library
XMLLibrary visit is an indicator of college academic literacy. The
current problem was a decrease on the students’ visit and
read at the library of STMIK Amik Riau. Based on the visit
data in the library, there was a reduction of the students’ visit
for each year, as well as books lent by the students has
decreased significantly. The purpose of this study was to
identify the correlation between the library facilities and the
library services on the students’ reading interest at the library
of STMIK Amik Riau by using Panel Data. This study used
qualitative and quantitative approach. The population of this
study were the visitors at STMIK Amik Riau Library that
chosen by using simple random sampling. The data were
collected through observation, interviews, questionnaires and
documentation. The method used to identify the interest on
the students’ to read in the library was Panel Data regression.
The procedures of this method were to determine the Panel
Data Regression Model Estimation, the selection of Panel
Data Regression Model (Estimated Technique) which
includes the F Statistical Test (Chow Test), Hausman Test,
and Lagrange Multiplier Test. Furthermore, conducted
testing the Classical Assumptions (Multicollinearity and
Heteroscedasticity) which includes the Multicollinearity test
and heteroscedasticity test, followed by a feasibility test
(Goodness of Fit) with the F-test hypothesis and Partial t-test.
The result of this study showed that there was a correlation
between the library facilities and the library services on the
students’ reading interest at library of STMIK Amik Riau.
Detail Information
Item Type |
Jurnal
|
---|---|
Penulis |
Triyani Arita Fitri - Personal Name
Mardainis - Personal Name Susi Erlinda - Personal Name Tashid - Personal Name Liya Astarilla Dede Warman - Personal Name Ambiyar - Personal Name M. Kahirul Anam - Personal Name |
Student ID | |
Dosen Pembimbing | |
Penguji | |
Kode Prodi PDDIKTI | |
Edisi |
Published
|
Departement | |
Kontributor | |
Bahasa |
English
|
Penerbit | JAIA – Journal Of Artificial Intelligence And Applications : Pekanbaru., 2021 |
Edisi |
Published
|
Subyek | |
No Panggil | |
Copyright |
STMIK Amik Riau
|
Doi |