{"id":3128,"date":"2026-02-24T12:07:54","date_gmt":"2026-02-24T04:07:54","guid":{"rendered":"https:\/\/www.go2posts.com\/id\/mastering-agile-with-ai-powered-use-case-modeling-a-comprehensive-guide-2\/"},"modified":"2026-02-24T12:07:54","modified_gmt":"2026-02-24T04:07:54","slug":"mastering-agile-with-ai-powered-use-case-modeling-a-comprehensive-guide-2","status":"publish","type":"post","link":"https:\/\/www.go2posts.com\/id\/mastering-agile-with-ai-powered-use-case-modeling-a-comprehensive-guide-2\/","title":{"rendered":"Menguasai Agile dengan Pemodelan Kasus Pengguna Berbasis AI: Panduan Lengkap"},"content":{"rendered":"<h2>Menjembatani Kesenjangan Antara Struktur dan Kecepatan<\/h2>\n<p>Selama bertahun-tahun, tim pengembangan perangkat lunak menganggap adanya dualitas antara ketatnya struktur kasus pengguna dan fleksibilitas cepat metodologi Agile. Pemodelan kasus pengguna tradisional sering dikaitkan dengan dokumentasi Waterfall yang berat dan dilakukan di awal, sementara Agile lebih mengutamakan \u201cperangkat lunak yang berfungsi daripada dokumentasi yang komprehensif.\u201d Namun, munculnya <strong>Use-Case 2.0<\/strong> dan alat bantu berbasis AI telah secara mendasar mengubah lanskap ini.<\/p>\n<p>Pendekatan berbasis kasus pengguna, yang didukung oleh <a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-powered-use-case-modeling-studio\/\"><strong>Studio Pemodelan Kasus Pengguna Berbasis AI Visual Paradigm<\/strong><\/a>, kini mendukung pengembangan Agile dengan menggabungkan pengumpulan persyaratan yang jelas dengan pengiriman iteratif. Panduan ini mengeksplorasi cara memanfaatkan pendekatan hibrida ini untuk mempertahankan kejelasan, kelengkapan, dan pelacakan kasus pengguna tanpa mengorbankan kecepatan dan adaptabilitas yang dibutuhkan oleh Agile.<\/p>\n<h2>Perkembangan: Mengapa Kasus Pengguna Cocok untuk Agile<\/h2>\n<p>Secara historis, kasus pengguna yang rinci bertentangan dengan Agile karena membutuhkan waktu signifikan untuk menulis dan memelihara sebelum pengkodean dimulai. Namun, metodologi yang dikenal sebagai <strong>Use-Case 2.0<\/strong> memodernisasi praktik ini dengan memperkenalkan konsep \u201cpemotongan.\u201d Alih-alih menerapkan kasus pengguna yang kompleks dalam satu kali, tim memecahnya menjadi potongan-potongan kecil dan bertahap\u2014dimulai dari alur dasar dan menambahkan alternatif serta pengecualian pada iterasi selanjutnya.<\/p>\n<p>Ketika digabungkan dengan Kecerdasan Buatan, pendekatan ini menjadi jauh lebih kuat. AI menghilangkan pekerjaan manual dalam membuat alur dan diagram, memungkinkan tim untuk menghasilkan spesifikasi rinci secara \u201ctepat waktu\u201d untuk sprint saat ini.<\/p>\n<h2>Langkah demi Langkah: Menerapkan Alur Kerja Berbasis AI<\/h2>\n<p>Berikut adalah alur kerja terstruktur untuk mengintegrasikan Studio AI Visual Paradigm ke dalam siklus hidup Agile, bergerak dari visi produk hingga rilis.<\/p>\n<h3>1. Inisiasi dan Sprint 0: Menetapkan Visi<\/h3>\n<p>Pada tahap awal, tujuannya adalah menetapkan gambaran besar yang ringan tanpa terjebak dalam desain yang berat. Dengan menggunakan Studio AI, Product Owner memulai dengan deskripsi sistem yang ringkas.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<ul>\n<li><strong>Masukan:<\/strong> Pernyataan tujuan tingkat tinggi (misalnya, \u201cPlatform pembelajaran daring di mana siswa mendaftar kursus, instruktur mengunggah materi, dan admin mengelola pengguna\u201d).<\/li>\n<li><strong>Keluaran AI:<\/strong>Sistem secara instan menghasilkan calon aktor, daftar kasus pengguna awal, serta <a href=\"https:\/\/www.archimetric.com\/mastering-ai-driven-use-case-diagrams-with-visual-paradigm-a-comprehensive-tutorial\/\">diagram kasus pengguna<\/a> dengan hubungan include\/extend, serta deskripsi terstruktur dasar.<\/li>\n<\/ul>\n<p>Ini memungkinkan tim untuk segera memvisualisasikan cakupan, menciptakan model dasar yang cukup fleksibel untuk diubah.<\/p>\n<h3>2. Penyempurnaan Backlog: Memrioritaskan dan Memotong<\/h3>\n<p>Setelah model awal ada, tim beralih ke <a href=\"https:\/\/www.archimetric.com\/revolutionizing-use-case-elaboration-with-visual-paradigm-ai-a-comprehensive-guide\/\">penyempurnaan backlog<\/a>. Di sini, model kasus pengguna yang dihasilkan berfungsi sebagai peta referensi utama.<\/p>\n<ul>\n<li><strong>Strategi Pemotongan:<\/strong> Pecah kasus pengguna besar menjadi potongan bertahap. Fokus pertama pada jalur \u201cbahagia\u201d (misalnya, \u201cMendaftar di kursus \u2013 skenario sukses\u201d) dan tunda kasus-kasus tepi atau penanganan kesalahan ke potongan selanjutnya.<\/li>\n<li><strong>Integrasi:<\/strong> Slice ini dapat diekspor sebagai cerita pengguna atau epik ke dalam alat manajemen proyek seperti Jira.<\/li>\n<li><strong>Pemetaan:<\/strong>Fitur Story Map terintegrasi dari Visual Paradigm memungkinkan tim memetakan secara visual Use Cases \u2192 Epik \u2192 Cerita Pengguna \u2192 Tugas, dengan menentukan prioritas menggunakan metode seperti MoSCoW atau WSJF untuk sprint mendatang.<\/li>\n<\/ul>\n<h3>3. Elaborasi Iteratif Selama Sprint<\/h3>\n<p>Dokumentasi rinci tidak lagi menjadi prasyarat untuk memulai; ini merupakan kegiatan kolaboratif yang terjadi selama sprint.<\/p>\n<ul>\n<li><strong>Generasi Sesuai Kebutuhan:<\/strong>Untuk slice 1\u20133 use case yang dipilih, masukkan kembali deskripsi tingkat tinggi ke dalam AI Studio.<\/li>\n<li><strong>Hasil Rinci:<\/strong> AI menghasilkan <a href=\"https:\/\/www.archimetric.com\/automating-use-case-development-with-visual-paradigms-ai-powered-use-case-description-generator\/\">alur rinci<\/a> (prasyarat sebelum\/sesudah, langkah-langkah), memperbarui diagram, dan yang terpenting, menciptakan <strong><a href=\"https:\/\/www.visual-paradigm.com\/tutorials\/how-to-create-test-cases-for-requirement.jsp\">kasus uji yang dihasilkan otomatis<\/a><\/strong> dengan skenario dan hasil yang diharapkan.<\/li>\n<li><strong>Ulasan:<\/strong> Tim dan pemangku kepentingan meninjau hasil keluaran AI, menyesuaikan prompt atau memperbaiki detail secara manual. Ini memastikan bahwa pengembangan (TDD\/ATDD) berjalan berdasarkan spesifikasi yang akurat dan disetujui.<\/li>\n<\/ul>\n<h3>4. Implementasi dan Siklus Umpan Balik<\/h3>\n<p>Selama tahap pemrograman, pengembang menggunakan diagram urutan yang dihasilkan dan kasus uji sebagai gambaran kerja. Ini mengurangi ambiguitas dan mempercepat implementasi.<\/p>\n<p>Setelah demo sprint, umpan balik dikumpulkan dan dikembalikan ke dalam model. Karena dokumentasi didorong oleh AI, <a href=\"https:\/\/www.cybermedian.com\/\ud83d\udd0d-tutorial-how-to-use-visual-paradigms-ai-use-case-diagram-refinement-tool-to-streamline-modeling\/\">memperbarui model use case<\/a>untuk mencerminkan perubahan\u2014seperti menambahkan slice baru atau menyempurnakan alur\u2014membutuhkan waktu hanya beberapa detik. AI menghasilkan kembali diagram dan uji yang terdampak secara instan, memastikan model berkembang seiring produk tanpa memerlukan pembaruan besar.<\/p>\n<h3>5. Dokumentasi Berkelanjutan dan Pelacakan<\/h3>\n<p>Keunggulan utama dari pendekatan ini adalah penghapusan utang dokumentasi. Pada setiap saat, tim dapat menghasilkan dengan satu klik:<\/p>\n<ul>\n<li>Bagian Dokumen Desain Perangkat Lunak (SDD) yang diperbarui.<\/li>\n<li>Matriks Pelacakan Kebutuhan yang menghubungkan Use Cases \u2194 Cerita \u2194 Uji \u2194 Kode.<\/li>\n<li>Laporan cakupan uji.<\/li>\n<\/ul>\n<h2>Mengapa Pendekatan Ini Secara Alami Agile<\/h2>\n<p>Mengadopsi strategi use case berbasis AI memperkuat nilai inti Agile daripada bertentangan dengannya:<\/p>\n<ul>\n<li><strong>Iteratif &amp; Bertahap:<\/strong>Tim menghasilkan nilai dalam potongan kecil, menguraikan detail hanya ketika diperlukan.<\/li>\n<li><strong>Kolaborasi Pelanggan:<\/strong> Narasi use case dan <a href=\"https:\/\/blog.visual-paradigm.com\/\ud83d\ude80-generate-activity-diagrams-from-use-cases-instantly-\ud83d\ude80\/\">diagram visual<\/a>dengan mudah dipahami oleh pemangku kepentingan non-teknis, memfasilitasi umpan balik yang lebih baik dibandingkan kode atau tiket abstrak.<\/li>\n<li><strong>Menanggapi Perubahan:<\/strong>Karena AI menghasilkan ulang artefak secara instan, mengubah persyaratan menjadi murah. Tidak ada dokumen statis yang dibuang.<\/li>\n<li><strong>Tahap Berkelanjutan:<\/strong>Mengotomatisasi pembuatan alur dan pengujian yang membosankan membebaskan tim untuk fokus pada pemecahan masalah dan pemrograman.<\/li>\n<\/ul>\n<h2>Perpindahan Ekonomi: Detail Tinggi dengan Biaya Nol<\/h2>\n<p>Perubahan paling signifikan yang dibawa AI ke bidang ini adalah ekonomi. Dulu, use case yang rinci mahal untuk ditulis dan dipelihara. Dengan Visual Paradigm\u2019s AI Studio, biaya detail mendekati nol.<\/p>\n<p>Tim mendapatkan alur komprehensif, alternatif, pengecualian, visual, dan kasus pengujian tanpa usaha proporsional. Ini memungkinkan dokumentasi \u201cJust-in-Time\u201d\u2014menghasilkan hanya yang dibutuhkan untuk sprint dan langsung membuang atau menghasilkan ulang bagian yang usang. Selain itu, AI memastikan pelacakan tetap terjaga secara otomatis, menghubungkan teks, diagram, dan pengujian, yang secara signifikan mengurangi beban audit dan kepatuhan.<\/p>\n<p>Dengan memperlakukan <a href=\"https:\/\/www.visual-paradigm.com\/solution\/usecase\/usecase\/\">model use case yang rinci dan dapat dilacak<\/a>sebagai hasil sampingan dari iterasi cepat alih-alih sebagai hambatan, organisasi dapat membuat proses Agile mereka lebih tangguh dan skalabel.<\/p>\n<h2>Kesimpulan<\/h2>\n<p>Keterpaduan prinsip Use-Case 2.0 dan otomatisasi AI menawarkan jalan praktis bagi tim perangkat lunak modern. Ini memberikan struktur yang diperlukan untuk sistem kompleks sambil mempertahankan kecepatan pengiriman Agile. Untuk mengalami alur kerja hibrida ini, tim dapat menggunakan <strong>Studio Pemodelan Use Case Berbasis AI Visual Paradigm<\/strong>untuk mengubah tujuan yang samar menjadi artefak yang terstruktur, dapat diuji, dan siap Agile dalam hitungan menit.<\/p>\n<div class=\"related-resources-box\" style=\"margin-top: 2rem; padding-top: 1rem; border-top: 1px solid #e2e8f0;\">\n<h3 style=\"font-size: 1.25rem; font-weight: 700; color: #1e293b; margin-bottom: 0.75rem;\">Sumber Daya Terkait<\/h3>\n<ul class=\"resource-bullets\" style=\"list-style-type: disc; padding-left: 1.5rem; margin-bottom: 1rem;\">\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/blog.visual-paradigm.com\/case-study-enhancing-system-modeling-efficiency-with-visual-paradigms-ai-powered-chatbot\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Studi Kasus: Meningkatkan Efisiensi Pemodelan Sistem dengan Chatbot Berbasis AI Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.archimetric.com\/mastering-ai-driven-use-case-diagrams-with-visual-paradigm-a-comprehensive-tutorial\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Menguasai Diagram Use Case yang Didorong AI dengan Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.tech-posts.com\/comprehensive-guide-to-uml-use-case-modeling-in-visual-paradigm-2\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Panduan Komprehensif tentang Pemodelan Use Case UML di Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/ai.visual-paradigm.com\/blog\/agile-retrospective-non-profit-case-study\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Retrospektif Agile: Studi Kasus Sektor Non-Laba \u2013 Visual Paradigm AI<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/ai.visual-paradigm.com\/blog\/agile-retrospective-gaming-sector-case-study\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Retrospektif Agile: Studi Kasus Sektor Gaming \u2013 Visual Paradigm AI<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.tech-posts.com\/comprehensive-guide-to-uml-use-case-modeling-in-visual-paradigm\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Panduan Komprehensif tentang Pemodelan Use Case UML di Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-using-visual-paradigms-ai-powered-use-case-to-activity-diagram-tool\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Tutorial Pengubahan Use Case ke Diagram Aktivitas Berbasis AI dengan Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.tech-posts.com\/mastering-use-case-scenario-documentation-in-visual-paradigm-a-step-by-step-guide\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Menguasai Dokumentasi Skenario Use Case di Visual Paradigm<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Menjembatani Kesenjangan Antara Struktur dan Kecepatan Selama bertahun-tahun, tim pengembangan perangkat lunak menganggap adanya dualitas antara ketatnya struktur kasus pengguna dan fleksibilitas cepat metodologi Agile. Pemodelan kasus pengguna tradisional sering&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Panduan Pemodelan Use Case Agile | Visual Paradigm Berbasis AI","_yoast_wpseo_metadesc":"Pelajari cara menerapkan pendekatan agile yang didorong use case menggunakan Studio AI Visual Paradigm. 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