Yunita, Fina Fitri (2020) Pemodelan dan Visualisasi Rekomendasi Konten Belajar Menggunakan Algoritma Content Based Filtering. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam belajar mandiri secara daring, tentu tidak semua siswa mengetahui pelajaran apa yang relevan dengan pelajaran yang telah diselesaikan. Dengan tidak adanya kehadiran guru dalam menemani siswa belajar secara mandiri, maka dibutuhkan suatu tools untuk memberikan siswa bantuan dalam memilih konten belajar.
Berdasarkan permasalahan tersebut, pembuatan Plugin Rekomendasi Course diusulkan sebagai solusi untuk membantu memberikan rekomendasi konten belajar. Dengan memanfaatkan Moodle, yaitu salah satu platform e-learning, plugin yang dibangun dapat dimanfaatkan oleh pengajar untuk mempermudah siswa, dalam melakukan belajar mandiri secara daring dirumah.
Tugas Akhir ini berhasil membangun dan mengimplementasikan sebuah plugin yang dapat digunakan sebagai pemberi rekomendasi course sebagai konten belajar dalam platform e-learning.
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In online self-study, certainly not all students know what lessons are relevant to the completed lessons. With the absent of teacher in the learning process, a tool is needed to give students assistance in choosing learning content.
Therefore, the creation of the Plugin Recommendation Course is proposed as a solution to help recommend learning content. By utilizing Moodle, which is one of the e-learning platforms, plugins that are built can be utilized by teachers to facilitate students, in conducting independent learning online at home. Not only at home, these tools can also be used in learning other things.
This Final Project successfully builds and implements a plugin that can be used as a recommendation course provider as learning content in the e-learning platform.
Item Type: | Thesis (Other) |
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Additional Information: | RSIf 005.1 Yun p-1 • Yunita, Fina Fitri |
Uncontrolled Keywords: | E-learning, Moodle, Rekomendasi, Course, Plugin, Recommendation |
Subjects: | Q Science > QA Mathematics > QA76.9.I58 Recommender systems (Information filtering) |
Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
Depositing User: | Fina Fitri Yunita |
Date Deposited: | 13 Aug 2020 03:29 |
Last Modified: | 03 Jun 2023 14:12 |
URI: | http://repository.its.ac.id/id/eprint/77811 |
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