{"id":183,"date":"2025-08-28T14:43:00","date_gmt":"2025-08-28T14:43:00","guid":{"rendered":"https:\/\/learn.rantissi.my.id\/?p=183"},"modified":"2025-08-28T14:43:11","modified_gmt":"2025-08-28T14:43:11","slug":"perbedaan-ai-tradisional-vs-ai-modern","status":"publish","type":"post","link":"https:\/\/learn.rantissi.my.id\/index.php\/2025\/08\/28\/perbedaan-ai-tradisional-vs-ai-modern\/","title":{"rendered":"Perbedaan AI Tradisional vs AI Modern"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\">AI bukan sesuatu yang baru. Tapi AI zaman sekarang (modern) sangat berbeda dengan pendekatan <strong>AI tradisional<\/strong> di masa lalu.<\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Untuk bisa merancang sistem yang tepat, kita perlu tahu <strong>kapan pakai AI tradisional dan kapan pakai AI modern<\/strong>.<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Apa itu AI Tradisional?<\/h2>\n\n\n\n<p><strong>AI tradisional<\/strong> = pendekatan berbasis <strong>aturan eksplisit yang ditulis manusia<\/strong><br>Contoh: \u201cJika suhu &gt; 37, maka: demam\u201d \u2192 pakai logika IF\u2013THEN<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd27 Ciri-ciri AI tradisional:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Berdasarkan logika &amp; aturan buatan manusia<\/li>\n\n\n\n<li>Cocok untuk masalah yang <strong>bisa dijelaskan dengan rumus<\/strong><\/li>\n\n\n\n<li>Tidak belajar dari data (tidak adaptif)<\/li>\n\n\n\n<li>Mudah diaudit (transparan)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd39 Contoh:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sistem pakar medis sederhana<\/li>\n\n\n\n<li>Aplikasi yang mengecek jadwal kerja<\/li>\n\n\n\n<li>Rule-based chatbot<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Apa itu AI Modern?<\/h2>\n\n\n\n<p><strong>AI modern<\/strong> = pendekatan yang berbasis <strong>data dan pembelajaran mesin (machine learning)<\/strong><br>Contoh: AI belajar dari ribuan data suhu tubuh dan gejala untuk memprediksi apakah pasien demam, flu, atau infeksi.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udde0 Ciri-ciri AI modern:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Belajar dari data<\/li>\n\n\n\n<li>Cocok untuk masalah kompleks yang <strong>tidak bisa dirumuskan manual<\/strong><\/li>\n\n\n\n<li>Adaptif (semakin banyak data, semakin pintar)<\/li>\n\n\n\n<li>Kadang sulit dijelaskan (black box)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd39 Contoh:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ChatGPT dan chatbot cerdas lainnya<\/li>\n\n\n\n<li>Mobil tanpa pengemudi<\/li>\n\n\n\n<li>Sistem rekomendasi<\/li>\n\n\n\n<li>Deteksi wajah atau suara<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Perbandingan Singkat<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Aspek<\/th><th>AI Tradisional<\/th><th>AI Modern<\/th><\/tr><\/thead><tbody><tr><td>Cara kerja<\/td><td>Aturan buatan manusia<\/td><td>Belajar dari data<\/td><\/tr><tr><td>Adaptif<\/td><td>Tidak<\/td><td>Ya<\/td><\/tr><tr><td>Cocok untuk<\/td><td>Masalah yang jelas &amp; terdefinisi<\/td><td>Masalah kompleks, ambigu<\/td><\/tr><tr><td>Butuh data besar<\/td><td>Tidak<\/td><td>Ya<\/td><\/tr><tr><td>Mudah diaudit<\/td><td>Ya (transparan)<\/td><td>Tidak selalu (black box)<\/td><\/tr><tr><td>Contoh penggunaan<\/td><td>Sistem pakar, rule-based logic<\/td><td>Computer Vision, NLP, prediksi<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Kapan pakai yang mana?<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Situasi<\/th><th>Pendekatan yang Cocok<\/th><\/tr><\/thead><tbody><tr><td>Masalah sederhana, bisa dipecahkan dengan logika biasa<\/td><td>AI tradisional (rule-based)<\/td><\/tr><tr><td>Data terbatas, logika tetap<\/td><td>AI tradisional<\/td><\/tr><tr><td>Data banyak, pola tidak jelas<\/td><td>AI modern (ML\/DL)<\/td><\/tr><tr><td>Butuh sistem yang bisa adaptasi terus-menerus<\/td><td>AI modern<\/td><\/tr><tr><td>Perlu transparansi &amp; akuntabilitas<\/td><td>AI tradisional<\/td><\/tr><tr><td>Perlu akurasi tinggi walau \u201chitam di dalam\u201d<\/td><td>AI modern<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Kesimpulan:<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>AI Tradisional = logika buatan manusia.<\/strong><br><strong>AI Modern = belajar dari data.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>Keduanya <strong>tidak saling menggantikan<\/strong>, tapi <strong>bisa saling melengkapi<\/strong> tergantung kebutuhan.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI bukan sesuatu yang baru. Tapi AI zaman sekarang (modern) sangat berbeda dengan pendekatan AI tradisional di masa lalu. Untuk bisa merancang sistem yang tepat, kita perlu tahu kapan pakai AI tradisional dan kapan pakai AI modern. Apa itu AI Tradisional? AI tradisional = pendekatan berbasis aturan eksplisit yang ditulis manusiaContoh: \u201cJika suhu &gt; 37,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-183","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/comments?post=183"}],"version-history":[{"count":1,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/183\/revisions"}],"predecessor-version":[{"id":184,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/posts\/183\/revisions\/184"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/media\/18"}],"wp:attachment":[{"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/media?parent=183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/categories?post=183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/learn.rantissi.my.id\/index.php\/wp-json\/wp\/v2\/tags?post=183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}