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Tahapan kerja meliputi deskripsi data, proses pre-processing, pembangunan model Decision Tree, perancangan model Support Vector Machine, serta desain eksperimen. Evaluasi dilakukan melalui pengujian dan uji coba, termasuk tuning parameter dan variasi data untuk meningkatkan performa klasifikasi. Hasil dan pembahasan disajikan untuk menunjukkan efektivitas kedua metode.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/student-past-data-classification-using-decision-tree-and-support-vector-machine-thesis/231311/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/student-past-data-classification-using-decision-tree-and-support-vector-machine-thesis/231311.png","ImageObject",300,407,{"name":89,"@type":90},"Mack Lee","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-26","2026-09-10",true,{"@type":99,"interactionType":100,"userInteractionCount":80},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Apa tujuan penelitian ini?","Question",{"text":109,"@type":110},"Penelitian ini bertujuan mengklasifikasikan data mahasiswa berdasarkan data masa lampau menggunakan metode Decision Tree dan Support Vector Machine.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Bagaimana tahap penelitian dilakukan?",{"text":114,"@type":110},"Tahapannya meliputi deskripsi data, pre-processing data, proses Decision Tree, proses Support Vector Machine, lalu desain eksperimen berupa evaluasi/uji coba, tuning parameter, dan variasi data.",{"name":116,"@type":107,"acceptedAnswer":117},"Apa saja yang dievaluasi dalam desain eksperimen?",{"text":118,"@type":110},"Evaluasi dan uji coba dilakukan bersamaan dengan tuning parameter dan variasi data untuk membandingkan dan meningkatkan performa klasifikasi.","https://schema.org",{"og:url":79,"og:type":121,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":123,"canonical":79},"index,follow",{"doc_id":125,"site_id":56},231311,1789062046,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":80,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":141},1236954509970,"https://us-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","KLASIFIKASI DATA MAHASISWA LAMPAU MENGGUNAKAN METODE DECISION TREE DAN SUPPORT VECTOR  \nMACHINE  \nTHESIS  \nOleh:  \nKURNIAWATI  \nNIM. 200605220016  \nPROGRAM STUDI MAGISTER INFORMATIKA FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM  \nMALANG  \nKLASIFIKASI DATA MAHASISWA LAMPAU MENGGUNAKAN METODE DECISION TREE DAN SUPPORT VECTOR  \nMACHINE  \nTHESIS  \nDiajukan kepada:  \nUniversitas Islam Negeri Maulana Malik Ibrahim Malang Untuk memenuhi Salah Satu Persyaratan dalam Memperoleh Gelar Magister Komputer (M.Kom)  \nOleh:  \nKURNIAWATI  \nNIM. 200605220016  \nPROGRAM STUDI MAGISTER INFORMATIKA  \nFAKULTAS SAINS DAN TEKNOLOGI  \nUNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM  \nMALANG  \n2024  \nMOTTO  \n“  \nMenuntut ilmu adalah takwa. Menyampaikan ilmu adalah ibadah. Mengulang-ulang ilmu adalah zikir. Mencari ilmu adalah jihad.”  \n– Abu Hamid Al Ghazali  \nKATA PENGANTAR  \nAssalamu’alaikum Wr. Wb  \nSyukur Alhamdulillah penulis haturkan kehadirat Allah SWT yang telah melimpahkan Rahmat dan Hidayah-Nya, sehingga penulis dapat menyelesaikan studi di Program Studi Magister Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang sekaligus menyelesaikan Thesis ini dengan baik. Selanjutnya penulis haturkan ucapan terima kasih seiring do’a dan harapanjazakumullah ahsanal jaza’ kepada semua pihak yang telah membantu terselesaikannya Thesis ini. Ucapan terima kasih ini penulis sampaikan kepada:  \n1. Dr. Ririen Kusumawati, M.Kom dan Dr. M. AinulYaqin, M.Kom, selaku dosen pembimbing thesis, yang telah banyak memberikan pengarahan dan pengalaman yang berharga.  \n2. Segenap civitas akademika Program Studi Magister Informatika, terutama seluruh bapak/ibu dosen, terima kasih atas segenap ilmu dan bimbingannya.  \n3. Suami tercinta Ilvy Wahyu Agus Widhi Pratama yang senantiasa memberikando’a serta anak saya Khayra Kaneisya Zahry yang memberi semangat.  \n4. Sahabat baik saya Abd. Charis Fauzan, M.Kom yang mendukung dan membantu untuk berpartisipasi.  \n5. Partner saya Ariel Alvi Zahry, S.H sertarekan-rekan kerja yang ikut mendoronguntuk meneyelesaikan tugas.  \nPenulis menyadari bahwa dalam penyusunan Thesis ini masih terdapat kekurangan dan penulis berharap semoga Thesis ini bisa memberikan manfaat kepada para pembaca khususnya bagi penulis secara pribadi. Amiinn Yaa Rabbal Alamin.  \nWasalamu’alaikum Wr. Wb  \nMalang, 4 November 2024  \nPenulis,  \nDAFTAR ISI  \nHALAMAN PERSETUJUAN...................................................................................... ii  \nPERNYATAAN KEASLIAN TULISAN ................................................................... iv  \nMOTTO ........................................................................................................................ v  \n[KATA PENGANTAR .................................................................................................vi](KATA PENGANTAR .................................................................................................vi)  \n[DAFTAR ISI...............................](DAFTAR ISI...............................)................................................................................vii  \nDAFTAR GAMBAR ................................................................................................... ix  \nDAFTAR TABEL ......................................................................................................... x  \nABSTRAK ................................................................................................................... xi  \nBAB I PENDAHULUAN ............................................................................................. 1  \n1.1 Latar Belakang ............................................................................................... 1  \n1.2 Pernyataan Masalah ........................................................................................ 7  \n1.3 Tujuan Penulisan ................................................................................","cbCaiuFTSUYNv8MK","https://ap.wps.com/l/cbCaiuFTSUYNv8MK","pdf",1720464,105,"Indonesian","# BAB I PENDAHULUAN\n## 1.1 Latar Belakang\n## 1.2 Pernyataan Masalah\n## 1.3 Tujuan Penulisan\n## 1.4 Manfaat Penelitian\n## 1.5 Batasan Masalah\n## 1.6 Sistematika Penulisan\n# BAB II STUDI PUSTAKA\n## 2.1 Studi Pustaka\n## 2.2 Kerangka Teori\n# BAB III METODE PENELITIAN\n## 3.1 Deskripsi Data\n## 3.2 Tahap Penelitian\n## 3.3 Pre-Processing Data\n## 3.4 Proses Decision Tree\n## 3.5 Proses Support Vector Machine\n## 3.6 Desain Eksperimen\n# BAB IV HASIL DAN PEMBAHASAN","[{\"question\":\"Apa tujuan penelitian ini?\",\"answer\":\"Penelitian ini bertujuan mengklasifikasikan data mahasiswa berdasarkan data masa lampau menggunakan metode Decision Tree dan Support Vector Machine.\"},{\"question\":\"Bagaimana tahap penelitian dilakukan?\",\"answer\":\"Tahapannya meliputi deskripsi data, pre-processing data, proses Decision Tree, proses Support Vector Machine, lalu desain eksperimen berupa evaluasi/uji coba, tuning parameter, dan variasi data.\"},{\"question\":\"Apa saja yang dievaluasi dalam desain eksperimen?\",\"answer\":\"Evaluasi dan uji coba dilakukan bersamaan dengan tuning parameter dan variasi data untuk membandingkan dan meningkatkan performa klasifikasi.\"}]","Klasifikasi Data Mahasiswa Lampau Menggunakan Metode Decision Tree dan Support Vector Machine - Thesis | PDF",162]