[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120165-id":3,"doc-seo-120165-113":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},120165,2336474466412,"Ezra","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",54,"Penelitian & Laporan","DAMPAK ALGORITMA PEMBELAJARAN MESIN - STUDI META-ANALISIS","Algoritma Machine Learning (ML) telah merevolusi banyak bidang, termasuk sains, teknologi, dan bisnis, melalui penerapan model prediktif yang lebih akurat dan efisien. Penelitian ini melakukan studi meta-analisis untuk menilai dampak ML pada berbagai domain, dengan menghimpun data dari 12 jurnal nasional dan internasional periode 2022–2024. Kriteria inklusi mencakup keterkaitan dengan algoritma ML serta data lengkap untuk menghitung effect size. Analisis statistik menggunakan JSAP 0.16.3 menghasilkan effect size 0.793 dengan signifikansi p \u003C 0.001.","Journal of Information Technology and Computer Science (INTECOMS)  \nVolume 7 Nomor 4, Tahun 2024 e-ISSN : 2614-1574  \np-ISSN : 2621-3249  \nDAMPAK ALGORITMA PEMBELAJARAN MESIN: STUDI META-ANALISIS  \nTHE IMPACT MACHINE LEARNING ALGORITHMS: STUDY META-ANALYSIS  \nAsrul Sani1*, Adrie Oktavio2, Rean Mitasari3, Tomi Apra Santosa4, Diah Fatma Sjoraida5, Elismayanti Rembe6, MiftachulAmri7, Bucky Wibawa Karya Guna8  \n1Universitas Nasional, Indonesi  \n2,3Universitas Ciputra Surabaya, Indonesia  \n4Akademi Teknik Adikarya, Indonesia  \n5 Universitas Padjadjaran, Indonesia  \n6STAIN Mandailing Natal, Indonesia  \n7Universitas Negeri Surabaya, Indonesia  \n8Sekolah Tinggi Musik Bandung, Indonesia  \n*[Coresponding email:asrulsani@civitas.unas.ac.id](Coresponding email:asrulsani@civitas.unas.ac.id)  \nABSTRACT  \nMachine Learning (ML) algorithms have revolutionized various fields, including science, technology, and business. This study conducted a meta-analysis to review the impact of ML algorithms on various domains. This research is a type of meta-analysis research. The data sources in this study come from 12 national and international journals published in 2022-2024. Data collection techniques through direct observation through journal databases. The inclusion criteria in this meta-analysis are research obtained from google scholar; ScienceDirect and ERIC, Research must be related to machine learning algorithms, research has complete data to calculate the effect size value. Data analysis in this study was conducted by statistical analysis with JSAP 0.16.3 application. The results of the study concluded that ML algorithms has a significant impact on various fields including the discovery of new knowledge, process efficiency and accuracy in prediction with an effect size value of 0.793; p \u003C 0.001. These findings show that ML algorithms have great potential to improve performance and efficiency in various fields.  \nKata Kunci:Machine Learning, Meta-analysis, Impact, Prediction Accuracy  \nABSTRAK  \nAlgoritma Machine Learning (ML) telah merevolusi berbagai bidang, termasuk sains, teknologi, dan bisnis. Penelitian ini melakukan meta-analisis untuk meninjau dampak algoritma ML pada berbagai domain. Penelitian ini merupakan jenis penelitian meta-analisis. Sumber data dalam penelitian ini berasal dari 12 jurnal nasional dan internasional terbit tahun 2022-2024. Teknik pengumpulan data melalui observasi langsung melalui database jurnal. Kriteria inklusi dalam meta-analisis ini adalah penelitian diperoleh dari google scholar; ScienceDirect dan ERIC, Penelitian harus terkait denbgan machine learning algorithms, penelitian memiliki data yang lengkap untuk menghitung nilai effect size. Analisis data dalam penelitian ini dengan analisis statistik dengan aplikasi JSAP 0.16.3. Hasil penelitian menyimpulkan bahwa lgoritma ML memiliki dampak signifikanpada berbagai bidang termasuk dalam penemuan pengetahuan baru, efisensi proses dan keakuratan dalamprediksi dengan nilai effect size sebesar 0.793; p \u003C 0.001. Temuan ini menunjukkan bahwa algoritma ML memiliki potensi besar untuk meningkatkan kinerja dan efisiensi di berbagai bidang.  \nKata kunci: Machine Learning, Meta-analisis, Dampak, Keakuratan Prediksi  \nINTRODUCTION  \nThe rapid development of Machine Learning (ML) technology has revolutionized the way we approach problem-solving in various fields (Pallathadka et al., 2021) . In recent years, ML has made tremendous strides, with advancements in deep learning, natural  \nlanguage processing, and computer vision enabling the development of sophisticated AI systems (Yang & Shami, 2020) . These systems are now being applied in a wide range of industries, from healthcare and finance to education and transportation (Yeşilkanat, 2020) . For instance, MLpowered chatbots are being used to  \nimprove customer service, while MLbased diagnostic tools are helping doctors detect diseases more accurately. Similarly, ML-driven autonomous vehicles are transforming the transportatio","cbCaikORYCB6F7UU","https://ap.wps.com/l/cbCaikORYCB6F7UU","pdf",731752,4,1,7,"Indonesian","id",113,"# Abstract\n# Abstrak\n# Introduction","[{\"question\":\"Penelitian ini mengkaji apa terkait Machine Learning?\",\"answer\":\"Penelitian ini meninjau dampak algoritma Machine Learning pada berbagai domain melalui pendekatan meta-analisis.\"},{\"question\":\"Bagaimana sumber data dan periode jurnal yang digunakan?\",\"answer\":\"Sumber data berasal dari 12 jurnal nasional dan internasional yang terbit pada rentang 2022–2024.\"},{\"question\":\"Apa temuan utama mengenai effect size dan signifikansinya?\",\"answer\":\"Hasil menunjukkan dampak signifikan algoritma ML dengan effect size sebesar 0.793 dan p \\u003c 0.001.\"}]","DAMPAK ALGORITMA PEMBELAJARAN MESIN - STUDI META-ANALISIS | PDF",1785728520,11,{"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":87,"head_meta":89,"extra_data":91,"updated_unix":29},"the-impact-of-machine-learning-algorithms-meta-analysis-study","",{"@graph":37,"@context":86},[38,54,69],{"@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":20},"https://docshare.wps.com/id/document/the-impact-of-machine-learning-algorithms-meta-analysis-study/120165/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-15","2026-08-03",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Penelitian ini mengkaji apa terkait Machine Learning?","Question",{"text":76,"@type":77},"Penelitian ini meninjau dampak algoritma Machine Learning pada berbagai domain melalui pendekatan meta-analisis.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Bagaimana sumber data dan periode jurnal yang digunakan?",{"text":81,"@type":77},"Sumber data berasal dari 12 jurnal nasional dan internasional yang terbit pada rentang 2022–2024.",{"name":83,"@type":74,"acceptedAnswer":84},"Apa temuan utama mengenai effect size dan signifikansinya?",{"text":85,"@type":77},"Hasil menunjukkan dampak signifikan algoritma ML dengan effect size sebesar 0.793 dan p \u003C 0.001.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,99,103,107,111,115,117,121,125,129,133],{"id":95,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":97,"slug":102},48,"Cerita & Novel","story-novel",{"id":104,"doc_module":4,"doc_module_name":47,"category_name":105,"show_sort_weight":97,"slug":106},56,"Gaya Hidup","lifestyle",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":97,"slug":110},51,"Komik","comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":97,"slug":114},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":97,"slug":116},"research-report",{"id":118,"doc_module":4,"doc_module_name":47,"category_name":119,"show_sort_weight":97,"slug":120},49,"Sastra","literature",{"id":122,"doc_module":4,"doc_module_name":47,"category_name":123,"show_sort_weight":97,"slug":124},52,"Teknologi","technology",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":127,"show_sort_weight":97,"slug":128},50,"Ujian","exam",{"id":130,"doc_module":4,"doc_module_name":47,"category_name":131,"show_sort_weight":97,"slug":132},57,"Umum","general",{"id":134,"doc_module":4,"doc_module_name":47,"category_name":135,"show_sort_weight":4,"slug":136},181,"Formulir","formulir"]