Article Per Year (5 Year)
p-Index From 2021 - 2026
2.75
P-Index
This Author published in this journals
All Journal CESS (Journal of Computer Engineering, System and Science) SemanTIK : Teknik Informasi INTECOMS: Journal of Information Technology and Computer Science IJID (International Journal on Informatics for Development) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Sistem Komputer dan Informatika (JSON) Djtechno: Jurnal Teknologi Informasi Bulletin of Computer Science Research Jurnal Info Sains : Informatika dan Sains Journal of Scientific Research, Education, and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Abdi Rakyat
Farida Ardiani, Farida
Magister Teknik Informatika, Universitas Islam Indonesia, Yogyakarta
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : IJID (International Journal on Informatics for Development)

 1 
Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms Ardiani, Farida; Rodhiyah Mardhiyyah; Syahalam, Izaaz Azaam; Nasmah Nur Amiroh
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3733

Abstract

Since the pandemic occurred, in March 2020, learning activities have changed from an offline to an online learning mode. This is the first time, such a huge change has occurred, simultaneously in the entire hemisphere. This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. The data consists of 6 indicators, namely CI1-CI4, grades, and letter grades. The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.
Online Public Access Catalogue: Factors Affecting Use E-Catalog Ardiani, Farida
IJID (International Journal on Informatics for Development) Vol. 9 No. 2 (2020): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2020.09206

Abstract

Online Public Access Catalog (OPAC) is one of the e-catalog information technologies applied in libraries. OPAC is a library information retrieval system that can be accessed online. State Islamic University of Sunan Kalijaga Yogyakarta has been using OPAC since 2012 and OPAC users are increasing from year to year. An information system will be used by users if it suits their needs. The successful implementation of OPAC raises questions about the factors that influence this success. For this reason, this study aims to determine the factors that influence users to use OPAC. Structural Equation Modeling (SEM) is a multivariate statistical technique which is a combination of factor analysis and regression analysis (correlation) which aims to examine the relationships between variables in a model. Processing using SEM will be carried out to find the relationship between the variables to be tested, which variables are interconnected, and are there any unrelated variables. The results of processing the variables using SEM can show what variables attract users to use the e-catalog. Acceptance of information systems can be measured by several evaluation models that have been developed at this time. There are many evaluation models used to measure. Technology Acceptance Model (TAM) is the appropriate model to use for this study, because this study is about the acceptance of a system. In addition, several previous studies used by researchers as references also used TAM as their study method to assess user acceptance of a system. This study modifies TAM, which is used to determine user acceptance of an information system, by adding three exogenous variables, information quality, perceived enjoyment, and user interface. Results of this study proved that information quality, user interface, perceived usefulness, perceived ease of use, and behavioral intention to use, are all factors that influence the actual use of OPAC. Perceived enjoyment is a variable that cannot be proved affects the actual use of OPAC.
Co-Authors Abadi, Adelano Nur Agus Suhendar, Agus Alanshari, Muhajir Alfath, Muhammad Arifin, Naufal Hafizh Diwandari, Saucha Edoardo Yanuar Putra Fegiyanto, Rizki Gaviota, Alvero Halim, William Hardiansah, Gian Hidayat, Tofiq Nur Kalifia, Anna Dina Khanifah, Haesti Nur Lukfi, Ikbal Sohiburido Murti Retnowo Nasmah Nur Amiroh Nugroho, Iqbal Satrio Rodhiyah Mardhiyyah Romadhon, Nur Aditya Rony, Zahara Tussoleha Rumalutur, Muhammad Ifdhal Sutarman Syahalam, Izaaz Azaam Titi, Niken Trengginas, Way Lilo Tandang