[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124627-id":3,"doc-seo-124627-113":31,"detail-sidebar-cat-0-id-113":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},124627,687207017582,"Himbo","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",54,"Penelitian & Laporan","KOMPARASI MACHINE LEARNING BERBASIS PSO UNTUK PREDIKSI TINGKAT KEBERHASILAN BELAJAR BERBASIS E-LEARNING","Penelitian ini bertujuan menyampaikan pengetahuan tentang machine learning untuk memprediksi tingkat keberhasilan belajar pada institusi pendidikan yang menerapkan pembelajaran jarak jauh atau e-learning. Tantangan utama yang diangkat adalah jumlah atribut pada data yang dapat menurunkan akurasi. Melalui percobaan dengan beberapa algoritma, Particle Swarm Optimization (PSO) diterapkan untuk meningkatkan performa prediksi. Hasil menunjukkan Naïve Bayes berbasis PSO memperoleh akurasi 94.40% dan AUC 94.50%, SVM berbasis PSO akurasi 88.20% dan AUC 91.10%, serta ANN berbasis PSO mencapai akurasi 98.50% dan bobot 99.20%.","KOMPARASI MACHINE LEARNING BERBASIS PSO UNTUK PREDIKSITINGKAT KEBERHASILAN BELAJAR BERBASIS E-LEARNING  \nElin Panca Saputra*1, Siti Nurajizah2, Mawadatul Maulidah3, Nadiyah Hidayati4, Taufik Rachman5  \n1,2,3,4,5Universitas Bina Sarana Informatika, Jakarta  \n[Email:](Email:1elin.epa@bsi.ac.id)[1](Email:1elin.epa@bsi.ac.id)[elin.epa@bsi.ac.id](Email:1elin.epa@bsi.ac.id), [2](2siti.snz@bsi.ac.id)[siti.snz@bsi.ac.id](2siti.snz@bsi.ac.id), [3](3mawadatul.mwm@bsi.ac.id)[mawadatul.mwm@bsi.ac.id](3mawadatul.mwm@bsi.ac.id), [4](4nadiyah.nyy@bsi.ac.id)[nadiyah.nyy@bsi.ac.id](4nadiyah.nyy@bsi.ac.id),  \n[4](4taufik.tkr@bsi.ac.id)[taufik.tkr@bsi.ac.id](4taufik.tkr@bsi.ac.id)  \n*Penulis Korespondensi  \n(Naskah masuk: 05 Agustus 2022, diterima untuk diterbitkan: 11 April 2023)  \nAbstrak  \nPerkembangan bidang teknologi memiliki aspek perkermbangan yang begitu cepat. penelitian kami memilikitujuan untuk mentransmisikan sebuah pengetahuan tentang machine learning yang telah menjadi begitu popular digunakan hingga saat ini, pada penelitian ini bagaimana mendapatkan fitur seleksi atribut dan mendapatkan hasilprediksi dari pembelajaran pada Universitas atau lembaga Pendidikan yang menerapkan belajar dengan metode pembelajaran jarak jauh ataupun e-learning di era pandemic ini. Permasalahan pada penelitian ini yaitu jumlahatribut pada data dapat mengurangi akurasi, maka dari percobaan dengan beberapa algoritma pada machine learning kami mencoba menerapkan Particle Swarm Optimizatio(PSO) untuk meningkatkan akurasi yang lebih tinggi. Maka dari itu dapat disimpulkan penerapan menggunakan algoritma Naïve Bayes(NB) berbasis PSOmendapatkan hasil kenerja dengan bobot sebesar 94.40% dan angka AUC sebesar 94.50%, berikutnya Algoritma Support Vectore Machine(SVM) Berbasis PSO dengan hasil kinerja akurasi sebesar 88.20 dan nilai AUC seberar 91. 10%, dan Artificial Neural Network(NN) berbasis Particle Swarm Optimizatio(PSO) menghasilkan skor hasilkinerja akurasi dengan bobot 99.20% dan nilai akurasi sebesar 98.50%, maka Artificial Neural Network(NN) berbasis PSO memiliki keunggulan lebih besar dari pada algoritma naïve bayer berbasis PSO dan Support Vector Machine(SVM) dengan PSO. Sedangkan atribut yang mempunyai pengaruh menentukan dari algoritma tersebut pada tingkat akurasi adalah Practice Questions, Quizzes, Midterm exams, dan Final exams. terbukti daripenelitianpenelitian kami yang sebelumnya maka algoritma neural network berbasis PSO memang memiliki keunggulanyang begitu baik. Karena ANN merupakan metode yang memiliki perhitungan yang membangun beberapa unit pada saat pemrosesan berdasarkan koneksitas yang saling berhubungan, metode ANN dengan akurasi prediksi dapat menjadi sebuah alat yang efisien dan baik untuk penelitian estimasi dan klasifikasi dalam bidang pendidikan.  \nKata kunci: Machine Learning, PSO, E-learning  \nCOMPARATION OF PSO-BASED LEARNING MACHINE FOR E-LEARNING-BASED  \nLEARNING SUCCESS PREDICTION  \nAbstract  \nThe development of the field of technology has a very fast development aspect. our research has the aim of transmitting knowledge about machine learning which has become so popularly used until now, in this study how to get attribute selection features and get predictive results from learning at universities or educational institutions that apply learning by distance learning methods or e-learning. -Learning in this pandemic era. The problem in this study is that the number of attributes in the data can reduce accuracy, so from experiments with several yahooson machine learning, we tried to apply Particle Swarm Optimizatio (PSO) to increase higher accuracy. Then the application key using the PSO-based Naïve Bayes (NB) algorithm can get performance results with a weight of 94.40% and an-AUC number of 94.50%, then the PSO-based Support Vectore Machine (SVM) Algorithm with a performance result of 88.20 and an AUC value of 91.10%, and Artificial Neural Network-(NN) based on Particle Swarm Optimizatio (PSO) produces an accuracy performanc","cbCaisHGy8ZUsJp6","https://ap.wps.com/l/cbCaisHGy8ZUsJp6","pdf",1291028,4,1,8,"Indonesian","id",113,"# Pendahuluan\n## Latar belakang e-learning dan tantangan prediksi\n## Tujuan dan fokus penelitian","[{\"question\":\"Apa tujuan utama penelitian ini?\",\"answer\":\"Menjelaskan penerapan machine learning untuk memperoleh fitur seleksi atribut dan menghasilkan prediksi tingkat keberhasilan belajar pada konteks e-learning atau pembelajaran jarak jauh.\"},{\"question\":\"Mengapa PSO digunakan dalam penelitian ini?\",\"answer\":\"Karena jumlah atribut pada data dapat menurunkan akurasi, sehingga PSO diterapkan untuk meningkatkan akurasi dan performa model prediksi.\"},{\"question\":\"Algoritma mana yang memberikan performa tertinggi?\",\"answer\":\"Artificial Neural Network (ANN) berbasis PSO menunjukkan performa terbaik dengan bobot 99.20% dan akurasi 98.50%.\"}]","KOMPARASI MACHINE LEARNING BERBASIS PSO UNTUK PREDIKSI TINGKAT KEBERHASILAN BELAJAR BERBASIS E-LEARNING | 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tujuan utama penelitian ini?","Question",{"text":76,"@type":77},"Menjelaskan penerapan machine learning untuk memperoleh fitur seleksi atribut dan menghasilkan prediksi tingkat keberhasilan belajar pada konteks e-learning atau pembelajaran jarak jauh.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Mengapa PSO digunakan dalam penelitian ini?",{"text":81,"@type":77},"Karena jumlah atribut pada data dapat menurunkan akurasi, sehingga PSO diterapkan untuk meningkatkan akurasi dan performa model prediksi.",{"name":83,"@type":74,"acceptedAnswer":84},"Algoritma mana yang memberikan performa tertinggi?",{"text":85,"@type":77},"Artificial Neural Network (ANN) berbasis PSO menunjukkan performa terbaik dengan bobot 99.20% dan akurasi 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