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All Journal Al Ishlah Jurnal Pendidikan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal J-PEMAS JAIA - Journal of Artificial Intelligence and Applications SATIN - Sains dan Teknologi Informasi
-, Tashid
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Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Journal : JAIA - Journal of Artificial Intelligence and Applications

 1 
The Use of Panel Data Regression to Identify Students Reading Interest in the Library Susi Erlinda; Tashid; Ambiyar; Liya Astarilla Dede Warman; Mardainis; Fransiskus Zoromi
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 1 (2021): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.405 KB) | DOI: 10.33372/jaia.v2i1.785

Abstract

Library 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.
IOS-Based Mobile Service Ordering Application Using Wireframe and Figma Yoyon Efendi; Ilham Perdana; Muhammad Raihan; Rometdo Muzawi; Nurul Utami; Tashid
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 2 (2022): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.331 KB) | DOI: 10.33372/jaia.v2i2.817

Abstract

Technological developments are increasingly growing rapidly so that everyone cannot avoid these technological advances. The technology in question covers all aspects of life, therefore here we create an application that is expected to help the community in finding tenants for IOS-based services, with the aim of helping people who are difficult in terms of finding service providers who want to be hired to help with their daily homework day.
Co-Authors -, Mirhot Stewart Sihombing Ambiyar, Ambiyar Anam, M Khairul Astarilla, Liya Esi Tri Emerlada Fransiskus Zoromi Ilham Perdana Karpen Mahadir Nasution Mardainis Mirhot Stewart Sihombing - Muhammad Raihan Nurul Utami Pandu Pratama Putra Rometdo Muzawi, Rometdo Susi Erlinda T. Sy. Eiva Fatdha Torkis Nasution Wirta Agustin Yanti, Rini Yoyon Efendi