{"id":72969,"date":"2026-09-07T09:48:40","date_gmt":"2026-09-07T02:48:40","guid":{"rendered":"https:\/\/icecenter.itb.ac.id\/?post_type=courses&#038;p=72969"},"modified":"2026-09-07T09:48:40","modified_gmt":"2026-09-07T02:48:40","slug":"simulasi-konstruksi-ramping-seri-03-neo-cyclone","status":"publish","type":"courses","link":"https:\/\/icecenter.itb.ac.id\/en\/courses\/simulasi-konstruksi-ramping-seri-03-neo-cyclone\/","title":{"rendered":"Simulasi Konstruksi Ramping Seri 03: Neo-CYCLONE"},"content":{"rendered":"<p><strong>Pelaksanaan:<\/strong> Online (Daring)<\/p>\n<p data-path-to-node=\"1\">Daniel W. Halpin merumuskan metodologi CYCLONE agar operasi konstruksi dapat dimodelkan secara terstruktur sebagai jaringan antrean dan kombinasi sumber daya (<em data-path-to-node=\"1\" data-index-in-node=\"159\">resource<\/em>). <strong data-path-to-node=\"1\" data-index-in-node=\"170\">Neo-CYCLONE<\/strong> menghadirkan kembali warisan keilmuan tersebut langsung ke peramban dengan dukungan asisten AI\u2014tanpa mengesampingkan pertimbangan teknis insinyur.<\/p>\n<p data-path-to-node=\"2\">Peserta akan memodelkan operasi lapangan ke dalam jaringan CYCLONE: siklus <em data-path-to-node=\"2\" data-index-in-node=\"75\">resource<\/em>, aktivitas dengan durasi probabilistik, antrean (<em data-path-to-node=\"2\" data-index-in-node=\"133\">queue<\/em>), simpul GEN\/CON, percabangan alur, aturan prioritas, hingga kalkulasi biaya. AI berperan membantu merapikan <em data-path-to-node=\"2\" data-index-in-node=\"248\">prompt<\/em>, menyusun diagram model, dan menjawab analisis pascasimulasi, sementara validasi logika aliran kerja tetap berada di tangan peserta.<\/p>\n<p data-path-to-node=\"3\"><strong data-path-to-node=\"3\" data-index-in-node=\"0\">Yang Dipelajari \u2014 Konstruksi Ramping<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"4,0,0\">Memandang operasi konstruksi sebagai jaringan terintegrasi: <em data-path-to-node=\"4,0,0\" data-index-in-node=\"60\">bottleneck<\/em> merupakan konsekuensi dinamika sistem, bukan kegiatan yang berdiri sendiri.<\/li>\n<li data-path-to-node=\"4,1,0\">Membaca antrean di depan simpul COMBI sebagai sinyal ketidakseimbangan alokasi <em data-path-to-node=\"4,1,0\" data-index-in-node=\"79\">resource<\/em>, bukan sekadar variabilitas tak terhindarkan di lapangan.<\/li>\n<li data-path-to-node=\"4,2,0\">Menerapkan analisis sensitivitas dengan menyesuaikan komposisi <em data-path-to-node=\"4,2,0\" data-index-in-node=\"63\">resource<\/em> secara terukur guna menemukan titik keseimbangan optimal.<\/li>\n<li data-path-to-node=\"4,3,0\">Memanfaatkan AI sebagai akselerator pemodelan, dengan kendali penuh insinyur dalam memastikan model merepresentasikan kondisi nyata proyek.<\/li>\n<\/ul>\n<p data-path-to-node=\"5\"><strong data-path-to-node=\"5\" data-index-in-node=\"0\">Yang Dipelajari \u2014 Operasi Konstruksi<\/strong><\/p>\n<ul>\n<li data-path-to-node=\"6,0,0\">Menyusun model operasional konstruksi dalam format CYCLONE modern (pemetaan siklus <em data-path-to-node=\"6,0,0\" data-index-in-node=\"83\">resource<\/em>, GEN\/CON, dan <em data-path-to-node=\"6,0,0\" data-index-in-node=\"106\">branching<\/em>).<\/li>\n<li data-path-to-node=\"6,1,0\">Memilih serta menerapkan sebaran durasi probabilistik: <em data-path-to-node=\"6,1,0\" data-index-in-node=\"55\">constant<\/em>, <em data-path-to-node=\"6,1,0\" data-index-in-node=\"65\">uniform<\/em>, <em data-path-to-node=\"6,1,0\" data-index-in-node=\"74\">triangular<\/em>, <em data-path-to-node=\"6,1,0\" data-index-in-node=\"86\">normal<\/em>, <em data-path-to-node=\"6,1,0\" data-index-in-node=\"94\">beta<\/em>, <em data-path-to-node=\"6,1,0\" data-index-in-node=\"100\">PERT<\/em>, dan distribusi lainnya.<\/li>\n<li data-path-to-node=\"6,2,0\">Menjalankan simulasi berulang secara iteratif untuk menganalisis metrik produktivitas dan biaya per <em data-path-to-node=\"6,2,0\" data-index-in-node=\"100\">resource-hour<\/em>.<\/li>\n<li data-path-to-node=\"6,3,0\">Melakukan analisis sensitivitas kapasitas <em data-path-to-node=\"6,3,0\" data-index-in-node=\"42\">resource<\/em> dan mendeteksi titik jenuh (<em data-path-to-node=\"6,3,0\" data-index-in-node=\"79\">bottleneck<\/em>) operasional.<\/li>\n<\/ul>\n<p data-path-to-node=\"7\"><strong data-path-to-node=\"7\" data-index-in-node=\"0\">Software Simulasi \u2014 Gratis, Tanpa Instalasi<\/strong> <em data-path-to-node=\"7\" data-index-in-node=\"44\">Neo-CYCLONE \u2014 AI-agent of Daniel W. Halpin\u2019s CYCLONE<\/em>, akses langsung melalui peramban: <a href=\"https:\/\/neo-cyclone.vercel.app\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwifke3HgsqWAxUAAAAAHQAAAAAQjwE\" target=\"_blank\" rel=\"noopener\">https:\/\/neo-cyclone.vercel.app<\/a><\/p>\n<p data-path-to-node=\"8\"><strong data-path-to-node=\"8\" data-index-in-node=\"0\">Yang Dibawa Pulang<\/strong> Operasi konstruksi dapat dimodelkan, diuji, dan dioptimalkan secara presisi sebelum pengerahan alat berat dan tenaga kerja ke lapangan. AI membantu mempercepat visualisasi dan pemodelan, sementara insinyur tetap memegang kendali atas validitas serta keputusan teknisnya.<\/p>\n<p data-path-to-node=\"10\"><strong data-path-to-node=\"10\" data-index-in-node=\"0\">Sabtu, 31 Oktober 2026 \u00b7 08.00\u201309.30 WIB \u00b7 Online (via ICE Center ITB)<\/strong><\/p>\n<p><strong data-path-to-node=\"11\" data-index-in-node=\"0\">FTSL ITB \u00b7 IAMKRI \u00b7 Think Lean, Act Lean!<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Pelaksanaan: Online (Daring) Daniel W. Halpin merumuskan metodologi CYCLONE agar operasi konstruksi dapat dimodelkan secara terstruktur sebagai jaringan antrean dan kombinasi sumber daya (resource). Neo-CYCLONE menghadirkan kembali warisan keilmuan tersebut langsung ke peramban dengan dukungan asisten AI\u2014tanpa mengesampingkan pertimbangan teknis insinyur. Peserta akan memodelkan operasi lapangan ke dalam jaringan CYCLONE: siklus resource, aktivitas dengan durasi probabilistik, antrean (queue), simpul GEN\/CON, percabangan alur, aturan prioritas, hingga kalkulasi biaya. AI berperan membantu merapikan prompt, menyusun diagram model, dan menjawab analisis pascasimulasi, sementara validasi logika aliran kerja tetap berada di tangan peserta. Yang Dipelajari \u2014 Konstruksi Ramping Memandang operasi konstruksi sebagai jaringan terintegrasi: bottleneck merupakan konsekuensi dinamika sistem, bukan kegiatan yang berdiri sendiri. Membaca antrean di depan simpul COMBI sebagai sinyal ketidakseimbangan alokasi resource, bukan sekadar variabilitas tak terhindarkan di lapangan. Menerapkan analisis sensitivitas dengan menyesuaikan komposisi resource secara terukur guna menemukan titik keseimbangan optimal. Memanfaatkan AI sebagai akselerator pemodelan, dengan kendali penuh insinyur dalam memastikan model merepresentasikan kondisi nyata proyek. Yang Dipelajari \u2014 Operasi Konstruksi Menyusun model operasional konstruksi dalam format CYCLONE modern (pemetaan siklus resource, GEN\/CON, dan branching). Memilih serta menerapkan sebaran durasi probabilistik: constant, uniform, triangular, normal, beta, PERT, dan distribusi lainnya. Menjalankan simulasi berulang secara iteratif untuk menganalisis metrik produktivitas dan biaya per resource-hour. Melakukan analisis sensitivitas kapasitas resource dan mendeteksi titik jenuh (bottleneck) operasional. Software Simulasi \u2014 Gratis, Tanpa Instalasi Neo-CYCLONE \u2014 AI-agent of Daniel W. Halpin\u2019s CYCLONE, akses langsung melalui peramban: https:\/\/neo-cyclone.vercel.app Yang Dibawa Pulang Operasi konstruksi dapat dimodelkan, diuji, dan dioptimalkan secara presisi sebelum pengerahan alat berat dan tenaga kerja ke lapangan. AI membantu mempercepat visualisasi dan pemodelan, sementara insinyur tetap memegang kendali atas validitas serta keputusan teknisnya. Sabtu, 31 Oktober 2026 \u00b7 08.00\u201309.30 WIB \u00b7 Online (via ICE Center ITB) FTSL ITB \u00b7 IAMKRI \u00b7 Think Lean, Act Lean!<\/p>","protected":false},"author":320,"featured_media":73036,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"course-category":[307,497],"course-tag":[],"class_list":["post-72969","courses","type-courses","status-publish","has-post-thumbnail","hentry","course-category-civil-sustainability-development","course-category-public-training"],"_links":{"self":[{"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/courses\/72969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/320"}],"version-history":[{"count":0,"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/courses\/72969\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/media\/73036"}],"wp:attachment":[{"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=72969"}],"wp:term":[{"taxonomy":"course-category","embeddable":true,"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/course-category?post=72969"},{"taxonomy":"course-tag","embeddable":true,"href":"https:\/\/icecenter.itb.ac.id\/en\/wp-json\/wp\/v2\/course-tag?post=72969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}