[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-124491-113":3,"detail-sidebar-cat-0-id-113":80,"doc-detail-124491-id":127},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},113,"id","pengaruh-komposisi-split-data-pada-akurasi-klasifikasi-penderita-diabetes-menggunakan-algoritma-machine-learning","PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING","","This article, titled \"The Influence of Data Split Composition on the Accuracy of Diabetes Patient Classification Using Machine Learning Algorithms,\" by Febby Refindha Aftha Harianto (211101034), investigates a critical aspect of developing effective machine learning models for healthcare. The research, conducted within the Informatics Engineering study program at the Faculty of Science and Technology, Universitas Nahdlatul Ulama Sunan Giri, focuses on how the way data is divided into training and testing sets impacts the accuracy of predicting diabetes patients. This study is vital for understanding parameter tuning in predictive modeling, ensuring that models generalize well to new, unseen data and provide reliable diagnostic support. The paper likely explores various data splitting strategies and their direct correlation with classification performance metrics, aiming to optimize the model development process for identifying individuals with diabetes. Such research contributes significantly to the field of computational health by providing insights into best practices for data handling in machine learning applications, ultimately improving the potential for early detection and management of the disease. The work is presented as part of the requirements for obtaining a Bachelor of Computer Science degree.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/id/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/id/document/penelitian-laporan/","Penelitian & 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judul artikel penelitian ini?","Question",{"text":62,"@type":63},"Judul artikel penelitian ini adalah \"PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING\".","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Siapa penulis artikel ini dan dari program studi apa?",{"text":67,"@type":63},"Penulis artikel ini adalah Febby Refindha Aftha Harianto dengan nomor mahasiswa 211101034 dari Program Studi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Nahdlatul Ulama Sunan Giri.",{"name":69,"@type":60,"acceptedAnswer":70},"Apa tujuan dari penelitian ini?",{"text":71,"@type":63},"Penelitian ini bertujuan untuk mengkaji pengaruh komposisi pembagian data (split data) terhadap akurasi klasifikasi penderita diabetes menggunakan algoritma machine 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KOMPOSISI SPLIT DATA PADAAKURASIKLASIFIKASI PENDERITA DIABETES MENGGUNAKANALGORITMA MACHINE LEARNING  \nARTIKEL  \nOleh  \nFebby Refindha Aftha Harianto 211101034  \nPROGRAM STUDI TEKNIK INFORMATIKA FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS NAHDLATUL ULAMA SUNAN GIRI  \nPENGARUH KOMPOSISI SPLIT DATA PADAAKURASIKLASIFIKASI PENDERITA DIABETES MENGGUNAKANALGORITMA MACHINE LEARNING  \nARTIKEL  \nDisusun sebagai salah satu syarat  \nUntuk memperoleh gelar Sarjana Komputer  \nProgam Studi Teknik Informatika  \nOleh  \nFebby Refindha Aftha Harianto  \n211101034  \nPROGRAM STUDI TEKNIK INFORMATIKA FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS NAHDLATUL ULAMA SUNAN GIRI  \n2025","cbCaiatbuKqFVRuG","https://ap.wps.com/l/cbCaiatbuKqFVRuG","pdf",343995,"Indonesian","# PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING\n## ARTIKEL","[{\"question\":\"Apa judul artikel penelitian ini?\",\"answer\":\"Judul artikel penelitian ini adalah \\\"PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING\\\".\"},{\"question\":\"Siapa penulis artikel ini dan dari program studi apa?\",\"answer\":\"Penulis artikel ini adalah Febby Refindha Aftha Harianto dengan nomor mahasiswa 211101034 dari Program Studi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Nahdlatul Ulama Sunan Giri.\"},{\"question\":\"Apa tujuan dari penelitian ini?\",\"answer\":\"Penelitian ini bertujuan untuk mengkaji pengaruh komposisi pembagian data (split data) terhadap akurasi klasifikasi penderita diabetes menggunakan algoritma machine learning.\"}]","PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING | PDF"]