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All Journal CCIT (Creative Communication and Innovative Technology) Journal
Abdullah Dwi Srenggini
Universitas Raharja
Computer Science & IT

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Online Learning Transition Based on Internet and E-Commerce Classroom Learning Management System (LMS) Sudaryono Sudaryono; Alfiah Khoirunisa; Abdullah Dwi Srenggini
CCIT (Creative Communication and Innovative Technology) Journal Vol 14 No 1 (2021): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.728 KB) | DOI: 10.33050/ccit.v14i1.1036

Abstract

In the era of digital information, especially in the field of education, online learning methods are currently developing rapidly in the learning and teaching process. The aim of this project is to provide a uniform and consistent user interface in the new learning management system (LMS) for students and faculties and to promote super users who will assist the faculty in a smooth transition from. The curriculum template is provided in the LMS for online learning processes or called e-Learning and has various training opportunities with super users that are interactive so that online learning will be effective and quality. (57%) report results from faculty feeling competent or very competent (36%) in their ability to use. Canvas ™ LMS after project implementation; There are several survey comments reflecting a positive response to the transition to Canvas ™. This project produces quality, student-centered online learning. Where is in accordance with the standardized template framework.
Prediction Model of Production Completion Delay to Improve Service Quality Using Decision Tree Versus Multilayer Perceptron Method Arko Djajadi; Winarno Winarno; Abdullah Dwi Srenggini
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.207 KB) | DOI: 10.33050/ccit.v15i2.2314

Abstract

Delays in the completion of pvd production can be caused by several factors. Including the actual experience in the production of the difficulty of each process and color type, even the difficulty of the product type can also be affected. In this study, the prediction of the delay in the completion of pvd production was carried out using the C4.5 decision tree and Multilayer Perceptron data mining method approach using Production Results data at PT. Surya Toto Indonesia, whose results are expected to provide information and input for the company in making production plans in the future. The data testing method was carried out with 5 (five) testing times with different amounts of data to determine the level of consistency of accuracy obtained. C4.5 gives the results of a decision tree where the root is the color type and as the leaf is the product category, type type and order period. The average value of accuracy generated in the C4.5 decision tree method is 87.15%. While the Multilayer Perceptron obtained an average accuracy of 87.98%, which is greater than the decision tree method with a difference of 0.83%.
Co-Authors Alfiah Khoirunisa Arko Djajadi Sudaryono Sudaryono Winarno Winarno