{"id":10115,"date":"2026-09-09T13:55:38","date_gmt":"2026-09-09T06:55:38","guid":{"rendered":"https:\/\/nasmedia.id\/store\/?p=10115"},"modified":"2026-09-09T13:55:38","modified_gmt":"2026-09-09T06:55:38","slug":"penelitian-kuantitatif-di-era-artificial-intelligence-panduan-komprehensif-survei-eksperimen-research-and-development-rd-path-analysis-sem-dan-pemanfaatan-ai","status":"publish","type":"post","link":"https:\/\/nasmedia.id\/store\/penelitian-kuantitatif-di-era-artificial-intelligence-panduan-komprehensif-survei-eksperimen-research-and-development-rd-path-analysis-sem-dan-pemanfaatan-ai\/","title":{"rendered":"Penelitian Kuantitatif di Era Artificial Intelligence: Panduan Komprehensif Survei, Eksperimen, Research and Development (R&#038;D), Path Analysis (SEM), dan Pemanfaatan AI"},"content":{"rendered":"<figure><\/figure>\n<p>I Made Putrawan<\/p>\n<p>Ketut Prasetyo<\/p>\n<p>Rp. 80.000<\/p>\n<p>Deskripsi<\/p>\n<p>Metodologi penelitian kuantitatif merupakan fondasi penting dalam menghasilkan temuan ilmiah yang objektif, sistematis, dan dapat dipertanggungjawabkan. Berbagai pendekatan seperti survei, eksperimen, Research and Development (R&amp;D), serta Path Analysis telah lama menjadi metode yang digunakan dalam berbagai disiplin ilmu untuk menjawab pertanyaan penelitian dan menguji hipotesis. Memasuki era transformasi digital, perkembangan Artificial Intelligence (AI) telah mengubah cara peneliti mencari informasi, mengolah data, membangun model analisis, hingga menyusun publikasi ilmiah. Kehadiran AI membuka peluang baru untuk meningkatkan efisiensi dan produktivitas penelitian, tetapi juga menghadirkan tantangan baru terkait etika, validitas, transparansi, dan integritas akademik.\u00a0 Atas dasar itulah buku ini disusun. Buku ini tidak hanya membahas konsep- konsep dasar metodologi penelitian kuantitatif, tetapi juga mengintegrasikan perkembangan AI agar pembaca mampu memanfaatkan teknologi secara tepat tanpa meninggalkan prinsip-prinsip ilmiah. Pembaca akan memperoleh pemahaman mengenai metode penelitian, penyusunan instrumen, teknik analisis data, serta pemanfaatan Machine Learning, Deep Learning, Generative AI, serta LLM dalam penelitian kuantitatif.<\/p>\n<table>\n<tbody>\n<tr>\n<td>Halaman<\/td>\n<td>Penerbit<\/td>\n<\/tr>\n<tr>\n<td>viii + 312 hlm<\/td>\n<td>PT. Nas Media Indonesia<\/td>\n<\/tr>\n<tr>\n<td>ISBN<\/td>\n<td>E-ISBN<\/td>\n<\/tr>\n<tr>\n<td>XXXXXXXXXXXXXXXXXXX<\/td>\n<td>XXXXXXXXXXXXXXXXXXX<\/td>\n<\/tr>\n<tr>\n<td>Ukuran<\/td>\n<td>Bahasa<\/td>\n<\/tr>\n<tr>\n<td>18 x 26 cm<\/td>\n<td>Indonesia<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>I Made Putrawan Ketut Prasetyo Rp. 80.000 Deskripsi Metodologi penelitian kuantitatif merupakan fondasi penting dalam menghasilkan temuan ilmiah yang objektif, sistematis, dan dapat dipertanggungjawabkan. Berbagai pendekatan seperti survei, eksperimen, Research and Development (R&amp;D), serta Path Analysis telah lama menjadi metode yang digunakan dalam berbagai disiplin ilmu untuk menjawab pertanyaan penelitian dan menguji hipotesis. Memasuki era&hellip;&nbsp;<\/p>\n","protected":false},"author":165,"featured_media":10116,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"off","neve_meta_content_width":70,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[8,11],"tags":[],"class_list":["post-10115","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bookstore","category-tracking-buku"],"_links":{"self":[{"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/posts\/10115","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/users\/165"}],"replies":[{"embeddable":true,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/comments?post=10115"}],"version-history":[{"count":1,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/posts\/10115\/revisions"}],"predecessor-version":[{"id":10117,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/posts\/10115\/revisions\/10117"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/media\/10116"}],"wp:attachment":[{"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/media?parent=10115"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/categories?post=10115"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nasmedia.id\/store\/wp-json\/wp\/v2\/tags?post=10115"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}