[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118509-id":3,"doc-seo-118509-113":31,"detail-sidebar-cat-0-id-113":97},{"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},118509,2336475104736,"Quinn","https://ap-avatar.wpscdn.com/avatar/22000c4c5e0e5b17e70?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786591360781797222",54,"Penelitian & Laporan","EVALUASI LEARNING MALWARE - KINERJA DALAM ALGORITMA PREDIKSI SERANGAN MALWARE","Penelitian ini mengkaji evaluasi kinerja algoritma machine learning dalam memprediksi serangan malware sebagai respons terhadap kompleksitas ancaman keamanan informasi. Fokus analisis diarahkan pada algoritma klasifikasi seperti Support Vector Machines (SVM) dan Neural Networks, dengan hasil menunjukkan akurasi tinggi dalam mengenali pola berbagai jenis malware. Studi ini juga menyoroti tantangan baru akibat evolusi serangan yang lebih canggih, sehingga disarankan pengembangan model adaptif. Penelitian menekankan pentingnya dataset representatif dan integrasi solusi keamanan holistik untuk meningkatkan keandalan sistem.","| Jurnal Review Pendidikan dan Pengajaran [http://journal.universitaspahlawan.ac.id/index.php/jrpp](http://journal.universitaspahlawan.ac.id/index.php/jrpp)[ ](http://journal.universitaspahlawan.ac.id/index.php/jrpp)Volume 7 Nomor1, 2024\u003Cbr>P-2655-710X e-ISSN 2655-6022 | Submitted : 28/01/2024\u003Cbr>Reviewed : 02/02/2024\u003Cbr>Accepted : 15/02/2024\u003Cbr>Published : 26/02/2024 |\n| --- | --- |\n|  |  |\n\nGrace Martha  \nGeertruida Bororing  \n1  \nEVALUASI LEARNING MALWARE  \nKINERJADALAM  \nALGORITMAPREDIKSI  \nMACHINESERANGAN  \nAbstrak  \nPenelitian ini mengkaji evaluasi kinerja algoritma machine learning dalam prediksi serangan malware sebagai respons terhadap kompleksitas ancaman keamanan informasi. Dengan mengeksplorasi berbagai literatur terkait, penelitian ini fokus pada analisis algoritma klasifikasiseperti Support Vector Machines (SVM) dan Neural Networks. Hasil penelitian menunjukkan bahwa algoritma-algoritma ini memberikan tingkat akurasi yang tinggi dalam mengenali polapola terkait dengan jenis-jenis malware. Namun, studi ini juga menyoroti tantangan baru yang muncul seiring dengan evolusi serangan malware yang semakin canggih. Oleh karena itu, saran penelitian ini adalah untuk mengembangkan model machine learning yang adaptif, mampu mengatasi teknik penyamaran dan evasi yang terus berkembang. Ketersediaan dataset yang representatif juga diidentifikasi sebagai faktor kunci dalam meningkatkan performa algoritma. Integrasi solusi keamanan informasi yang holistik juga direkomendasikan untuk meningkatkan kehandalan sistem. Hasil penelitian ini memberikan kontribusi pada pemahaman mendalam tentang peran algoritma machine learning dalam konteks keamanan informasi. Diharapkan, temuan-temuan ini dapat memberikan dasar bagi pengembangan solusi proaktif dan adaptif untuk melawan serangan malware yang semakin kompleks.  \nKata Kunci: Machine Learning, Serangan Malware, Algoritma Klasifikasi, Keamanan Informasi, Prediksi Serangan.  \nAbstract  \nThis research examines the performance evaluation of machine learning algorithms in predicting malware attacks in response to the complexity of information security threats. By exploring various related literatures, the study focuses on the analysis of classification algorithms such as Support Vector Machines (SVM) and Neural Networks. The research findings indicate that these algorithms provide a high level of accuracy in recognizing patterns associated with different types of malware. However, the study also highlights new challenges arising with the evolution of increasingly sophisticated malware attacks. Therefore, the suggestion from this research is to develop adaptive machine learning models capable of addressing evolving evasion and camouflage techniques. The availability of representative datasets is also identified as a key factor in enhancing algorithm performance. The integration of holistic information security solutions is recommended to improve system reliability. The results of this research contribute to a comprehensive understanding of the role of machine learning algorithms in the context of information security. It is hoped that these findings will provide a foundation for the development of proactive and adaptive solutions to counter increasingly complex malware attacks.  \nKeywords: Machine Learning, Malware Attacks, Classification Algorithms, Information Security, Attack Prediction.  \nPENDAHULUAN  \nDalam konteks era digital yang semakin canggih ini, keberlanjutan pertumbuhan teknologi menjadi sebuah pemandangan umum. Namun, di balik gemerlapnya inovasi, keamanan informasi muncul sebagai salah satu aspek kritis yang tidak boleh diabaikan (Enda & Rukiyanto, 2024) . Terutama, peran malware atau perangkat lunak berbahaya semakin menonjolsebagai ancaman serius bagi keberlangsungan operasional dan keamanan data di berbagai sektor  \n1Program Studi Teknik Informatika, Fakultas Komputer & Komunikasi, Institut Bisnis dan Informatika Kwik Kian Gie  \nemail: [grace.martha@kwikkiangie.ac.id](grace.m","cbCailnvRel6ThmK","https://ap.wps.com/l/cbCailnvRel6ThmK","pdf",677201,6,1,7,"Indonesian","id",113,"# Pendahuluan\n# Abstrak\n## Tujuan penelitian\n## Metode dan algoritma\n## Hasil dan temuan\n# Kata Kunci","[{\"question\":\"Penelitian ini membahas apa terkait malware?\",\"answer\":\"Penelitian ini membahas evaluasi kinerja algoritma machine learning dalam memprediksi serangan malware dalam konteks kompleksitas ancaman keamanan informasi.\"},{\"question\":\"Algoritma machine learning apa yang menjadi fokus analisis?\",\"answer\":\"Penelitian berfokus pada algoritma klasifikasi seperti Support Vector Machines (SVM) dan Neural Networks.\"},{\"question\":\"Apa temuan utama penelitian mengenai performa algoritma?\",\"answer\":\"Algoritma yang diuji menunjukkan tingkat akurasi tinggi dalam mengenali pola yang terkait dengan berbagai jenis malware.\"},{\"question\":\"Saran pengembangan apa yang diberikan untuk menghadapi evolusi malware?\",\"answer\":\"Disarankan mengembangkan model machine learning yang adaptif untuk menghadapi teknik evasi dan penyamaran yang terus berkembang, serta memastikan ketersediaan dataset yang representatif.\"}]","EVALUASI LEARNING MALWARE - KINERJA DALAM ALGORITMA PREDIKSI SERANGAN MALWARE | PDF",1785683926,11,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":92,"head_meta":94,"extra_data":96,"updated_unix":29},"malware-learning-evaluation-performance-in-malware-attack-prediction-algorithms","",{"@graph":37,"@context":91},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/id/document/malware-learning-evaluation-performance-in-malware-attack-prediction-algorithms/118509/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-19","2026-08-02",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83,87],{"name":74,"@type":75,"acceptedAnswer":76},"Penelitian ini membahas apa terkait malware?","Question",{"text":77,"@type":78},"Penelitian ini membahas evaluasi kinerja algoritma machine learning dalam memprediksi serangan malware dalam konteks kompleksitas ancaman keamanan informasi.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Algoritma machine learning apa yang menjadi fokus analisis?",{"text":82,"@type":78},"Penelitian berfokus pada algoritma klasifikasi seperti Support Vector Machines (SVM) dan Neural Networks.",{"name":84,"@type":75,"acceptedAnswer":85},"Apa temuan utama penelitian mengenai performa algoritma?",{"text":86,"@type":78},"Algoritma yang diuji menunjukkan tingkat akurasi tinggi dalam mengenali pola yang terkait dengan berbagai jenis malware.",{"name":88,"@type":75,"acceptedAnswer":89},"Saran pengembangan apa yang diberikan untuk menghadapi evolusi malware?",{"text":90,"@type":78},"Disarankan mengembangkan model machine learning yang adaptif untuk menghadapi teknik evasi dan penyamaran yang terus berkembang, serta memastikan ketersediaan dataset yang representatif.","https://schema.org",{"og:url":53,"og:type":93,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":95,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":98},[99,104,108,112,116,120,122,126,130,134,138],{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":102,"slug":103},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":105,"doc_module":4,"doc_module_name":47,"category_name":106,"show_sort_weight":102,"slug":107},48,"Cerita & Novel","story-novel",{"id":109,"doc_module":4,"doc_module_name":47,"category_name":110,"show_sort_weight":102,"slug":111},56,"Gaya Hidup","lifestyle",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":102,"slug":115},51,"Komik","comic",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":102,"slug":119},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":102,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":47,"category_name":124,"show_sort_weight":102,"slug":125},49,"Sastra","literature",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":128,"show_sort_weight":102,"slug":129},52,"Teknologi","technology",{"id":131,"doc_module":4,"doc_module_name":47,"category_name":132,"show_sort_weight":102,"slug":133},50,"Ujian","exam",{"id":135,"doc_module":4,"doc_module_name":47,"category_name":136,"show_sort_weight":102,"slug":137},57,"Umum","general",{"id":139,"doc_module":4,"doc_module_name":47,"category_name":140,"show_sort_weight":4,"slug":141},181,"Formulir","formulir"]