[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125700-id":3,"doc-seo-125700-113":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},125700,962084925636,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",52,"Teknologi","DETEKSI WEBSITE PHISHING MENGGUNAKAN TEKNIK FILTER PADA MODEL MACHINE LEARNING","Phishing merupakan serangan siber yang menipu pengguna agar mengunjungi situs tidak sah sehingga korban menyerahkan informasi pribadi seperti username, password, maupun data kartu kredit. Dampak serangan mencakup kerugian privasi serta penyalahgunaan data yang dapat berujung kerugian finansial. Penelitian ini memanfaatkan fitur filter Pearson correlation pada model machine learning dan membandingkan tiga metode, yaitu Naïve Bayes, Decision Tree, serta Random Forest. Alur penelitian mencakup persiapan, penerapan metode, analisis, dan evaluasi, dengan hasil Random Forest menjadi yang paling efektif.","DETEKSI WEBSITE PHISHING MENGGUNAKAN TEKNIK FILTER PADA  \nMODEL MACHINE LEARNING  \nVikky Aprelia Windarni 1), Anggit Ferdita Nugraha 2), Surya Tri Atmaja Ramadhani 3), Dewi Anisa Istiqomah 4) , Fiyas Mahananing Puri 5) , Adi Setiawan 6)  \n1) Teknologi Informasi, Universitas AMIKOM Yogyakarta  \n2) TeknikKomputer, Universitas AMIKOM Yogyakarta  \n3) Teknik Informatika, Universitas AMIKOM Yogyakarta  \n4) Manajemen Informatika, Universitas AMIKOM Yogyakarta  \n5) Sistem Informasi, Universitas AMIKOM Yogyakarta  \n6) Fakultas Sains dan Matematika, Universitas Kristen Satya Wacana  \nemail: [vikkyaprelia@amikom.ac.id](vikkyaprelia@amikom.ac.id1)[1](vikkyaprelia@amikom.ac.id1)), [anggitferdita@amikom.ac.id](anggitferdita@amikom.ac.id2)[2](anggitferdita@amikom.ac.id2)), [surya@amikom.ac.id](surya@amikom.ac.id3)[3](surya@amikom.ac.id3)), [dewianisaist@amikom.ac.id](dewianisaist@amikom.ac.id4)[4](dewianisaist@amikom.ac.id4)), [fi](fiyas@amikom.ac.id5)[yas@amikom.ac.id](fiyas@amikom.ac.id5)[5](fiyas@amikom.ac.id5)) , [adi.setiawan@uksw.edu](adi.setiawan@uksw.edu6)[6](adi.setiawan@uksw.edu6))  \nAbstraksi  \nPhishing merupakan bentuk serangan pada dunia maya yang cukup popular, dimana pengguna dibuat untuk mengunjungi situs web yang tidak sah. Pengguna ditipu untuk mengungkapkan informasi pribadinya seperti username, password, informasi kartu kredit dan sebagainya. Maraknya phishing membuat kerugian dalam hal privacy, bahkan terjadi penyalahgunaan data yang menyebabkan kerugian finansial. Tujuan dari penelitian ini adalah peneliti ingin menggunakan machine learning dengan memanfaatkan fitur filter yang ada didalamnya yaitu pearson correlation dan menerapkan 3 metode Naïve Bayes, Decision Tree dan Random Forestuntuk menentukan metode yang paling efektif dalam mendeteksi web phishing. Terdapat 4 alur penelitian yang digunakan oleh peneliti, yaitu (1) Tahap persiapan,(2) Metode yang digunakan,(3) Analisa, dan (4) Evaluasi. Dari hasil penelitian ini didapatkan bahwa penerapan metode Naïve Bayes memiliki nilai akurasi sebesar 60,4%, metode Decision Tree memiliki nilai akurasi 94,4% dan metode Random Forest memiliki akurasi sebesar 96,3% . Sehingga dapat disimpulkan bahwa metode yang paling efektif untuk mendeteksi web phishing adalah menggunakan Random Forest karena memiliki tingkat akurasi sebesar 96.3% . Pada penelitian selanjutnya dapat dilakukan pada kasus yang sama dengan menggunakan algoritma yang berbeda.  \nKata Kunci : Decision Tree, Naïve Bayes, Random Forest, Website Phishing  \nAbstract  \nPhishing is a fairly popular form of cyber attack, in which users are tricked into visiting legitimate websites. Users are tricked into disclosing personal information such as usernames, passwords, credit card information and soon. The rise of phishing makes losses in terms of privacy, even damages data which causes financial losses. The purpose of this study is that researchers want to use machine learning by utilizing the filter features in it, namely Pearson correlation and applying 3 methods of naïve Bayes, decision tree and random forest to determine the most effective method for detecting phishing websites. There are 4 research paths used by researchers, namely (1) the preparation stage,(2) the method used,(3) analysis, and (4) evaluation. From the results of this study, it was found that the application of the naïve Bayes method had an accuracy value of 60.4%, the decision tree method had an accuracy value of 94.4% and the random forest method had an accuracy of 96.3%. So, it can be concluded that the most effective method for detecting phishing websites is using a random forest because it has an accuracy rate of 96.3%. In further research, it can be carried out in the same case using a different algorithm.  \nKeywords: Decision Tree, Naïve Bayes, Random Forest, Website Phishing  \n1. Pendahuluan  \nDi era teknologi yang semakin berkembang ini orangorang tidak bisa lepas dari sebuah internet maupun gadget. Perkembangan internet sejalan dengan perkemba","cbCailoOm1V93m6x","https://ap.wps.com/l/cbCailoOm1V93m6x","pdf",544292,4,1,5,"Indonesian","id",113,"# Pendahuluan\n## Latar belakang dan definisi phishing\n## Machine Learning dan penerapannya","[{\"question\":\"Apa tujuan penelitian ini dalam mendeteksi website phishing?\",\"answer\":\"Tujuan penelitian adalah menggunakan machine learning dengan fitur filter Pearson correlation serta membandingkan Naïve Bayes, Decision Tree, dan Random Forest untuk menemukan metode paling efektif.\"},{\"question\":\"Informasi apa saja yang biasanya dicuri melalui phishing?\",\"answer\":\"Phishing biasanya menargetkan data pribadi seperti nama dan informasi akun seperti username serta kata sandi, termasuk juga informasi keuangan seperti kartu kredit.\"},{\"question\":\"Metode mana yang memiliki akurasi tertinggi dalam hasil penelitian?\",\"answer\":\"Random Forest memiliki akurasi tertinggi, yaitu 96,3%, dan dinyatakan sebagai metode paling efektif untuk mendeteksi website phishing.\"}]","DETEKSI WEBSITE PHISHING MENGGUNAKAN TEKNIK FILTER PADA MODEL MACHINE LEARNING | 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tujuan penelitian ini dalam mendeteksi website phishing?","Question",{"text":76,"@type":77},"Tujuan penelitian adalah menggunakan machine learning dengan fitur filter Pearson correlation serta membandingkan Naïve Bayes, Decision Tree, dan Random Forest untuk menemukan metode paling efektif.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Informasi apa saja yang biasanya dicuri melalui phishing?",{"text":81,"@type":77},"Phishing biasanya menargetkan data pribadi seperti nama dan informasi akun seperti username serta kata sandi, termasuk juga informasi keuangan seperti kartu kredit.",{"name":83,"@type":74,"acceptedAnswer":84},"Metode mana yang memiliki akurasi tertinggi dalam hasil penelitian?",{"text":85,"@type":77},"Random Forest memiliki akurasi tertinggi, yaitu 96,3%, dan dinyatakan sebagai metode paling efektif untuk mendeteksi website 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