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All Journal Jurnal Algoritma Jurnal sistem informasi, Teknologi informasi dan komputer Format : Jurnal Imiah Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Mitra Manajemen JURNAL ILMIAH INFORMATIKA Jurnal Teknik Informatika UNIKA Santo Thomas Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) EDUMATIC: Jurnal Pendidikan Informatika JISICOM (Journal of Information System, Infomatics and Computing) ScientiCO : Computer Science and Informatics Journal Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal of Applied Multimedia and Networking JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Indonesian Journal for Social Responsibility Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Jurnal Dialektika Informatika (Detika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Computer Science (CO-SCIENCE) Technologic J-SAKTI (Jurnal Sains Komputer dan Informatika) INSANtek – Jurnal Inovasi dan Sains Teknik Elektro JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Algoritma Paradigma Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat TECHNOLOGIC KOMPUTASI
Jordy Lasmana Putra
Universitas Bina Sarana Informatika
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Journal : Jurnal Informatika

 1 
Prediksi Kinerja Siswa Pada E-Learning Moodle Platform Menggunakan Algoritma Adaptive Boosting Jordy Lasmana Putra; Agus Subekti
Jurnal Informatika Vol 10, No 1 (2023): April 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v10i1.15525

Abstract

Pandemi Covid-19 yang sudah berlangsung sejak awal tahun 2020 memberikan dampak besar di berbagai sektor, salah satunya di sektor pendidikan, dimana awalnya pendidikan dilakukan secara tatap muka, karena pandemi mengharuskan proses belajar mengajar dilakukan secara dalam jaringan (daring) Teknologi informasi berkembang sangat pesat dan mempengaruhi berbagai bidang, salah satunya bidang pendidikan, yang dimana pembelajaran secara daring sudah menjadi hal yang biasa untuk era saat sekarang ini, salah satu Learning Management System atau yang sering disingkat LMS yang sering digunakan adalah E-Learning menggunakan platform moodle, ditambah untuk saat pandemic covid-19 proses pembelajaran diarahkan ke sistem daring, sehingga penggunaan E-Learning menjadi meningkat. Melihat hal tersebut penulis bermaksud untuk melakukan penelitian untuk melakukan prediksi terhadap kinerja siswa dalam mengikuti perkuliahan e-learning yang menggunakan moodle platform, penelitian ini melihat dari sisi log activity siswa di moodle platform lalu log tersebut di transformasi agar dapat dilakukan proses klasifikasi oleh algoritma machine learning. Pada penelitian ini penulis melakukan klasifikasi menggunakan algoritma Adaptive Boosting dengan Base Learner C4.5 dengan teknik pra pemrosesan data Resample untuk Imbalance data. Hasil dari penelitian ini didapatkan hasil performansi yang baik, dengan nilai Akurasi 95%, ROC 0.97, dan Kappa 0.90. sehingga penelitian ini dapat menjadi model untuk memprediksi kinerja siswa dengan melihat log aktivitasnya menggunakan platform moodle. The Covid-19 pandemic, which has been going on since the beginning of 2020, has had a major impact in various sectors, one of which is in the education sector, where initially education was carried out face-to-face, because the pandemic requires the teaching and learning process to be carried out online Information technology is developing very rapidly and affecting various fields, one of which is the field of education, where online learning has become commonplace for today's era,  one of the Learning Management Systems or often abbreviated as LMS that is often used is E-Learning using the moodle platform, plus during the Covid-19 pandemic the learning process is directed to an online system, so that the use of E-Learning becomes increasing. Seeing this, the author intends to conduct research to predict student performance in participating in e-learning lectures using the moodle platform, this study looks at the student activity log on the moodle platform and then the log is transformed so that the classification process can be carried out by machine learning algorithms. In this study, the authors classified using the Adaptive Boosting algorithm with Base Learner C4.5 with the Resample data preprocessing technique for data imbalance. The results of this study obtained good performance results, with an Accuracy value of 95%, ROC 0.97, and Kappa 0.90. So this study can be a model to predict student performance by looking at their activity logs using the Moodle platform.
Co-Authors Agus Subekti Alda Zevana Putri Widodo Aldawiyah, Atiyah Alengka, Son Gohan Alfian Armawan Sandi, Tommi Amin Nur Rais Bayhaqy, Achmad Chandra Kesuma Denis Chandra Prabowo Destriana, Rachmat Dirgahayu Erri Dwi Krisnandi Dwiza Riana Eni Heni Hermaliani Eni Heni Hermaliani, Eni Heni Esron Rikardo Nainggolan Esron Rikardo Nainggolan Evita Fitri Fachrurozi, Ahmad Fajar Shidiq Fariq Mulia, Akbar Fatiha, Zulfati Dinul Febri Ainun Jariyah Fikri Ismaya Findi Ayu Sariasih Firmansyah Firmansyah Fitra Septia Nugraha Fitri, Evita Frieyadie Gata, Windu Hadianto, Nur Hafifah Bella Novitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hani Harafani Hengki Rusdianto I Gusti Bagus Arya Pradnja Paramitha Inggit Dessy Susanti Khamdun Khamdun Khuluq, Anjahul Krisnandi, Dwi Laela Kurniawati lazuardi, sandy ibrahim Leksono, Ilham Nur Luthfi Indriyani M. Iqbal Alifudin Mahdi Abdullah Mahmud Mahmud Marwan Marwan Miharja, Jaja Mufid Junaedi Mugi Raharjo Mugi Raharjo Mugi Raharjo Muhamad Hasan Musriatun Napiah Mustofa Mustofa Mustofa Mustofa Negoro, Alexander Rio Adi Nila Hardi Novitasari, Hafifah Bella Nurul Arifin Oky Kurniawan Prasetyo, Rizal Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Ridwan ridwan Ridwan, Ridwan Rino Indra Muhammad Rino Indra Muhammad1 Setyorini, Tyas Sidik Sidik Sidik Sri Rahayu Sujiliani Heristian Susafa'ati Susafa'ati Susafa’ati, Susafa’ati Suwanda Aditya Saputra Syarah Seimahuira Tika Adilah M Tommi Alfian Armawan Sandi Tyas Setiyorini Ummu Radhiyah Ummu Radiyah Virda Mega Ayu Waeisul Bismi Wahyutama Fitri Hidayat Warjiyono Warjiyono, Warjiyono Watmah, Sri Windu Gata Windu Gata Windu Gata Windu Gata WITRIANA ENDAH PANGESTI Yeni Angraini Zulfati Dinul Fatiha