{"id":3126,"date":"2026-02-24T11:36:59","date_gmt":"2026-02-24T03:36:59","guid":{"rendered":"https:\/\/www.go2posts.com\/id\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/"},"modified":"2026-02-24T11:36:59","modified_gmt":"2026-02-24T03:36:59","slug":"from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2","status":"publish","type":"post","link":"https:\/\/www.go2posts.com\/id\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","title":{"rendered":"Dari Lingkup ke Logika Visual: Menguasai Kasus Penggunaan, Deskripsi, dan Diagram Aktivitas"},"content":{"rendered":"<p>Dalam lanskap yang kompleks dari rekayasa kebutuhan dan pemodelan UML (Bahasa Pemodelan Terpadu), kejelasan sangat penting. Tiga artefak khusus membentuk tiga elemen yang saling terkait erat yang menjamin kejelasan ini: <strong>Kasus Penggunaan<\/strong>, dan <strong>Deskripsi Kasus Penggunaan<\/strong>, serta <a href=\"https:\/\/www.visual-paradigm.com\/guide\/uml-unified-modeling-language\/what-is-activity-diagram\/\"><strong>Diagram Aktivitas<\/strong><\/a>. Meskipun sering dipandang sebagai tugas dokumentasi yang terpisah, elemen-elemen ini dirancang saling melengkapi, menciptakan tangga penyempurnaan yang berkembang dari lingkup tingkat tinggi ke narasi teks rinci, dan akhirnya ke alur perilaku visual yang tepat.<\/p>\n<p><img alt=\"Free UML Tool\" decoding=\"async\" src=\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\"\/><\/p>\n<p>Progresi ini bukan sekadar latihan dokumentasi; ini merupakan mekanisme penemuan yang kuat. Dengan bergerak melalui tahapan-tahapan ini, analis bisnis dan arsitek sistem dapat mengungkap kebutuhan tersembunyi, logika bisnis yang rumit, serta keterbatasan sistem yang mungkin lainnya terlewat hingga tahap pengujian atau pengembangan.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\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twqsJHCiTd54z4GDT4XIKvM05Fw2kCacmkaierSeHz9tlJNw+ZlP5qZjJM2juYMPro0GNx2f8uVkL0BTEYzMJdf\/31AwcO\/AH83XgjBGfdmH7wAzAE5sAomAYHutgFak4EiAAR6HUCEIc4\/5W\/hbvaxF9V0o5su0v+HvU8vuD4U2GMNeU9kl3XvYbjCo5ZwJInRrpHpjR5MZOw72QveiHqDrMcK4jrgq9hTx0viHfVvumNRdn1KOBWEoX0r\/8PAAD\/\/x+7DpkAAAAGSURBVAMAbUr1S4rmwUYAAAAASUVORK5CYII=\"\/><\/p>\n<h2>Tiga Pilar Perilaku Sistem<\/h2>\n<p>Untuk memahami bagaimana elemen-elemen ini berinteraksi, kita harus terlebih dahulu mendefinisikan peran masing-masing dalam proses spesifikasi sistem.<\/p>\n<h3>1. Kasus Penggunaan<\/h3>\n<p>Kasus Penggunaan adalah unit dasar dari lingkup. Ini mewakili satu unit fungsi bernama yang memberikan nilai yang dapat diamati kepada aktor, baik aktor tersebut adalah pengguna manusia atau sistem eksternal. Ini menjawab pertanyaan tingkat tinggi: <em>\u201cApa tujuan yang dicapai oleh aktor?\u201d<\/em><\/p>\n<p>Contoh umum meliputi \u201cTarik Uang Tunai,\u201d \u201cTempatkan Pesanan Online,\u201d atau \u201cHasilkan Laporan Bulanan.\u201d Pada tahap ini, fokusnya secara ketat pada batas sistem dan tujuan utama.<\/p>\n<h3>2. Deskripsi Kasus Penggunaan<\/h3>\n<p>Juga dikenal sebagai skenario atau spesifikasi, Deskripsi Kasus Penggunaan menambal celah antara judul abstrak dan perilaku konkret. Ini adalah narasi teks terstruktur yang menjelaskan <strong>bagaimana<\/strong>tujuan dicapai. Deskripsi yang kuat biasanya mencakup:<\/p>\n<ul>\n<li><strong>Prasyarat:<\/strong>Apa yang harus benar sebelum proses dimulai.<\/li>\n<li><strong>Skenario Sukses Utama:<\/strong>Jalur \u201cbahagia\u201d atau alur dasar kejadian.<\/li>\n<li><strong>Alur Alternatif:<\/strong>Variasi dalam jalur yang tetap mengarah pada keberhasilan.<\/li>\n<li><strong>Alur Pengecualian:<\/strong>Kondisi kesalahan dan bagaimana penanganannya.<\/li>\n<li><strong>Pasca kondisi:<\/strong>Keadaan sistem setelah selesai.<\/li>\n<\/ul>\n<h3>3. Diagram Aktivitas<\/h3>\n<p>Diagram Aktivitas membawa teks menjadi hidup secara visual. Ini adalah diagram perilaku UML yang memetakan alur kerja langkah demi langkah, mengidentifikasi aliran kontrol, titik keputusan, paralelisme, dan aliran objek. Berbeda dengan sifat linier teks, diagram aktivitas dapat dengan mudah merepresentasikan logika kompleks menggunakan tindakan, node keputusan, cabang, pertemuan, dan kolam renang untuk menunjukkan tanggung jawab.<\/p>\n<h2>Progresi Alami: Ruang Lingkup ke Narasi ke Visual<\/h2>\n<p>Dalam praktiknya, artefak-artefak ini jarang dibuat secara terpisah. Mereka mengikuti rantai perkembangan yang alami, hampir seperti evolusi:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.visual-paradigm.com\/guide\/sysml\/identify-user-requirements-with-use-case-diagrams\/\"><strong>Identifikasi Kasus Penggunaan:<\/strong><\/a>Tentukan ruang lingkup dan tujuan.<\/li>\n<li><strong>Tulis Deskripsi:<\/strong>Susun skenario naratif.<\/li>\n<li><a href=\"https:\/\/www.visual-paradigm.com\/support\/documents\/vpuserguide\/94\/2580\/6713_drawingactiv.html\"><strong>Gambar diagram aktivitas:<\/strong><\/a>Formalkan logika secara visual.<\/li>\n<\/ol>\n<p>Kasus penggunaan secara mandiri terlalu abstrak. Meskipun deskripsi teks menambahkan detail yang diperlukan, prosa secara inheren bersifat linier. Sulit untuk membaca paragraf teks dan langsung memahami logika bercabang yang kompleks, konkurensi, atau loop tak terbatas. Diagram Aktivitas memvisualisasikan deskripsi ini, membuat alur menjadi jelas dan jauh lebih mudah dianalisis. Transformasi ini begitu logis sehingga banyak alat pemodelan modern mendukung pembuatan diagram secara semi-otomatis dari teks terstruktur.<\/p>\n<h2>Efek &#8216;Pembesar Persyaratan&#8217;<\/h2>\n<p>Transisi dari deskripsi teks ke diagram aktivitas secara efektif berfungsi sebagai<strong>pembesar persyaratan<\/strong>. Ketika seorang analis mencoba menggambar garis dari satu tindakan ke tindakan lain, mereka dipaksa menjawab pertanyaan-pertanyaan rinci seperti &#8216;bagaimana jika&#8217; dan &#8216;bagaimana persisnya&#8217;.<\/p>\n<p>Refinemen iteratif ini membantu mengungkapkan:<\/p>\n<ul>\n<li><strong>Logika yang Hilang:<\/strong>Kesenjangan dalam prasyarat atau pasca kondisi yang tidak didefinisikan.<\/li>\n<li><strong>Kebutuhan Konkurensi:<\/strong>Proses yang dapat atau harus terjadi secara bersamaan (misalnya, mengirim email saat memperbarui basis data).<\/li>\n<li><strong>Kasus Ekstrem:<\/strong>Jalur alternatif tersembunyi yang diabaikan oleh deskripsi teks.<\/li>\n<li><strong>Aturan Bisnis:<\/strong>Validasi khusus yang dibutuhkan di node keputusan.<\/li>\n<li><strong>Ketergantungan Data:<\/strong>Aliran objek yang menentukan data input yang dibutuhkan.<\/li>\n<\/ul>\n<p>Tidak jarang pembuatan diagram aktivitas mengungkapkan persyaratan yang lebih rinci sebanyak 20% hingga 50% dibandingkan dengan deskripsi teks awal. Pihak pemangku kepentingan mengidentifikasi ketidakkonsistenan, pengembang mengenali ambiguitas, dan tester menemukan kondisi yang dapat diuji yang sebelumnya tidak terlihat.<\/p>\n<h2>Contoh Nyata Temuan<\/h2>\n<p>Untuk mengilustrasikan kekuatan dari prosesi ini, mari kita periksa bagaimana diagram tertentu mengungkapkan detail dalam skenario umum.<\/p>\n<h3>Contoh 1: ATM \u2013 Penarikan Uang Tunai<\/h3>\n<p><strong>Kasus Penggunaan:<\/strong> Seorang pemegang kartu ingin menarik uang tunai.<br \/><strong>Deskripsi Teks:<\/strong> Pengguna memasukkan kartu, memasukkan PIN, memilih jumlah, dan menerima uang tunai. Pengecualian mencakup dana tidak mencukupi atau PIN yang salah.<\/p>\n<p><strong>Apa yang Dibuka oleh Diagram Aktivitas:<\/strong><\/p>\n<ul>\n<li><strong>Logika Pengulangan:<\/strong> Apa yang terjadi setelah PIN yang salah pertama? Diagram mengharuskan pengulangan kembali ke entri PIN dengan penghitung. Ini mengungkapkan kebutuhan akan aturan &#8216;kunci kartu setelah 3 percobaan&#8217;.<\/li>\n<li><strong>Penyusunan:<\/strong> Apakah sistem memeriksa saldo akun sebelum atau setelah memeriksa ketersediaan uang tunai fisik di ATM?<\/li>\n<li><strong>Kemampuan Dihentikan:<\/strong> Dapatkah pengguna membatalkan transaksi setelah memasukkan jumlah tetapi sebelum uang tunai dikeluarkan? Ini memerlukan node tindakan &#8216;Batalkan&#8217;.<\/li>\n<\/ul>\n<h3>Contoh 2: Belanja Online \u2013 Tempatkan Pesanan<\/h3>\n<p><strong>Kasus Penggunaan:<\/strong> Seorang pelanggan menempatkan pesanan.<br \/><strong>Deskripsi Teks:<\/strong> Pengguna menelusuri, menambahkan item ke keranjang, melakukan checkout, membayar, dan menerima konfirmasi.<\/p>\n<p><strong>Apa yang Dibuka oleh Diagram Aktivitas:<\/strong><\/p>\n<ul>\n<li><strong>Pemrosesan Paralel (Cabang\/Gabungan):<\/strong> Setelah pesanan dikonfirmasi, sistem perlu mengirim email, memperbarui persediaan, dan memulai permintaan pengiriman. Diagram menunjukkan ini sebagai aliran paralel.<\/li>\n<li><strong>Logika Persediaan:<\/strong> Sebuah node keputusan bertanya, &#8216;Apakah item tersedia?&#8217; Jika tidak, aliran baru untuk &#8216;Pesanan Terlambat&#8217; atau &#8216;Notifikasi Pengguna&#8217; ditemukan.<\/li>\n<li><a href=\"https:\/\/guides.visual-paradigm.com\/a-guide-to-swimlane-activity-diagrams\/\"><strong>Layar Lintasan:<\/strong><\/a> Dengan memisahkan secara visual Pelanggan, Sistem, Penyedia Pembayaran, dan Gudang, diagram ini menjelaskan persyaratan antarmuka antara API eksternal dan sistem internal.<\/li>\n<\/ul>\n<h3>Contoh 3: Sistem Perpustakaan \u2013 Pinjam Buku<\/h3>\n<p><strong>Kasus Penggunaan:<\/strong> Seorang anggota meminjam sebuah buku.<br \/><strong>Deskripsi Teks:<\/strong> Anggota meminta sebuah buku; perpustakaan memeriksa status dan menerbitkan buku tersebut.<\/p>\n<p><strong>Apa yang Dibuka oleh Diagram Aktivitas:<\/strong><\/p>\n<ul>\n<li><strong>Sub-proses:<\/strong> Sebuah node keputusan memeriksa denda terlambat. Jika denda ada, aliran beralih ke sub-proses &#8216;Bayar Denda&#8217; sebelum kembali ke aliran utama.<\/li>\n<li><strong>Kendala Kompleks:<\/strong>Pemeriksaan terhadap &#8216;Buku Maksimum per Anggota&#8217; mengungkapkan aturan bisnis yang kemungkinan besar tidak tercantum dalam teks awal.<\/li>\n<li><strong>Antrian Pemesanan:<\/strong>Jika buku telah dipesan oleh anggota lain, alur harus bercabang ke jalur antrian tunggu atau penolakan.<\/li>\n<\/ul>\n<h3>Contoh 4: Rumah Sakit \u2013 Jadwalkan Janji Temu<\/h3>\n<p><strong>Kasus Penggunaan:<\/strong>Seorang pasien menjadwalkan kunjungan.<br \/><strong>Deskripsi Teks:<\/strong>Pasien memilih slot waktu, memverifikasi asuransi, dan memesan janji temu.<\/p>\n<p><strong>Apa yang Dibongkar oleh Diagram Aktivitas:<\/strong><\/p>\n<ul>\n<li><strong>Konsistensi Paralel:<\/strong>Sistem harus secara bersamaan memeriksa ketersediaan dokter dan ketersediaan ruangan untuk mencegah pemesanan ganda sumber daya.<\/li>\n<li><strong>Penanganan Penyimpangan:<\/strong>Apa yang terjadi jika dokter membatalkan kemudian? Diagram ini mengungkapkan kebutuhan akan alur kerja penjadwalan ulang atau pemberitahuan.<\/li>\n<li><strong>Pohon Keputusan:<\/strong>Logika verifikasi asuransi menjadi pohon yang kompleks: Apakah dicover? Jika tidak, apakah ada opsi pembayaran sendiri? Jika tidak, batalkan proses.<\/li>\n<\/ul>\n<div>\n<h3 dir=\"auto\" node=\"[object Object]\" style=\"--tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246 \/ 0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;\">Alat Kunci AI dalam Visual Paradigm yang Relevan dengan Alur Ini<\/h3>\n<\/div>\n<div><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Visual Paradigm\u2019s<\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Studio AI Kasus Penggunaan<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> (dan serangkaian alat berbasis AI terkait, sering disebut di bawah fitur pemodelan yang diperkuat AI) secara signifikan mempercepat dan meningkatkan alur dari <\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">kasus penggunaan<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> \u2192 <\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">deskripsi kasus penggunaan<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> \u2192 <\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">diagram aktivitas<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">yang telah kita bahas sebelumnya. Kemampuan AI ini mengotomatisasi sebagian besar usaha manual, mengurangi kesalahan, dan \u2014 yang paling penting \u2014 membantu mengungkap persyaratan dan logika yang lebih rinci dengan menyarankan penyempurnaan, mengisi celah, dan memvisualisasikan kompleksitas yang mungkin terlewat oleh manusia.<\/span><\/div>\n<div><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"><br \/><\/span><\/div>\n<div>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Visual Paradigm mengintegrasikan beberapa aplikasi AI khusus (dapat diakses melalui &#8216;Buat dengan AI&#8217;, Alat &gt; Aplikasi, atau kotak alat AI di kedua versi <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/solutions\/free-activity-diagram-tool\/\">Online<\/a>dan versi desktop):<\/p>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Pembuat Deskripsi Kasus Penggunaan AI<\/strong> \u2014 Dimulai dari prompt singkat dan menghasilkan deskripsi kasus penggunaan yang terstruktur.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.archimetric.com\/mastering-ai-driven-use-case-diagrams-with-visual-paradigm-a-comprehensive-tutorial\/\"><strong node=\"[object Object]\">Alat Penyempurnaan Diagram Kasus Penggunaan AI<\/strong><\/a> \u2014 Menghasilkan atau menyempurnakan diagram kasus penggunaan dengan hubungan yang tepat <strong node=\"[object Object]\">include<\/strong> \/ <strong node=\"[object Object]\">extend<\/strong> hubungan.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.visual-paradigm.com\/features\/use-case-to-activity-diagram\/\"><strong node=\"[object Object]\">Kasus Penggunaan ke Diagram Aktivitas<\/strong><\/a> aplikasi \u2014 Fitur utama dalam alur kami: secara langsung mengubah kasus penggunaan (dengan deskripsinya) menjadi diagram aktivitas UML lengkap.<\/li>\n<li node=\"[object Object]\">Alat pendukung seperti <strong node=\"[object Object]\">Analisis Skenario Kasus Penggunaan AI<\/strong>, <strong node=\"[object Object]\">Analisis Diagram Kasus Penggunaan Dasar<\/strong>, dan <strong node=\"[object Object]\">Chatbot AI<\/strong> untuk penyempurnaan iteratif.<\/li>\n<\/ul>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Alat-alat ini membentuk pipeline terintegrasi yang mempercepat tangga penyempurnaan tradisional.<\/p>\n<h3 dir=\"auto\" node=\"[object Object]\">Cara Visual Paradigm AI Mendukung dan Meningkatkan Setiap Langkah<\/h3>\n<ol dir=\"auto\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Titik Awal: Dari Ide\/Prompt ke Kasus Penggunaan + Deskripsi<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Masukkan prompt singkat dalam bahasa alami (misalnya, \u201csistem penarikan tunai ATM\u201d atau \u201cpenempatan pesanan toko buku online\u201d).<\/li>\n<li node=\"[object Object]\">Alat <strong node=\"[object Object]\">Pembuat Deskripsi Kasus Penggunaan AI<\/strong> menghasilkan:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Paragraf gambaran masalah\/sistem (dapat diedit)<\/li>\n<li node=\"[object Object]\">Elemen terstruktur: prasyarat, pasca kondisi, skenario sukses utama, alur alternatif, pengecualian<\/li>\n<li node=\"[object Object]\">Sering menyarankan aktor dan tujuan terkait<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Manfaat: Menghindari sindrom halaman kosong dan memastikan dasar teks yang konsisten dan lengkap lebih cepat dibandingkan penulisan manual.<\/li>\n<li node=\"[object Object]\">Efek penemuan: AI sering menambahkan alternatif\/pengecualian yang realistis (misalnya, \u201ckegagalan jaringan saat pembayaran\u201d) yang mendorong pengguna untuk mengonfirmasi atau memperluas persyaratan lebih awal.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Memvisualisasikan Lingkup: Diagram Kasus Penggunaan (Opsional tetapi Membantu)<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Dari deskripsi atau prompt, gunakan <strong node=\"[object Object]\">Alat Penyempurna Diagram Kasus Penggunaan AI<\/strong> untuk menghasilkan secara otomatis aktor, kasus penggunaan, dan hubungan.<\/li>\n<li node=\"[object Object]\">AI menganalisis teks dan menyarankan<strong node=\"[object Object]\">termasuk<\/strong> (tujuan bawah bersama seperti \u201cAutentikasi Pengguna\u201d) dan<strong node=\"[object Object]\">perluas<\/strong> (perluasan bersyarat seperti \u201cTerapkan Diskon \u2192 hanya jika kode promosi valid\u201d).<\/li>\n<li node=\"[object Object]\">Anda dapat melihat pratinjau, mengekspor SVG, atau membuka di editor lengkap untuk melakukan penyesuaian.<\/li>\n<li node=\"[object Object]\">Manfaat: Memberikan gambaran cepat \u201cgambaran besar\u201d sebelum memasuki detail, membantu mengidentifikasi aktor yang hilang atau fungsi yang tumpang tindih.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Langkah Inti: Deskripsi Kasus Penggunaan \u2192 Diagram Aktivitas<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Di dalam<strong node=\"[object Object]\">Kasus Penggunaan ke Diagram Aktivitas<\/strong> aplikasi:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Berikan\/gunakan nama kasus penggunaan, aktor, ringkasan, dan (idealnya) deskripsi lengkap yang dihasilkan sebelumnya.<\/li>\n<li node=\"[object Object]\">Klik \u201cHasilkan detail dengan AI\u201d \u2192 AI memperluas\/mengisi bagian yang hilang (pra\/syarat pra\/post, alur).<\/li>\n<li node=\"[object Object]\">Kemudian hasilkan diagram secara instan.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Diagram aktivitas yang dihasilkan mencakup:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Tindakan\/langkah dari alur utama<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Node keputusan<\/strong> untuk cabang (misalnya, \u201cPIN benar?\u201d)<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Pemisahan\/gabungan<\/strong> untuk tindakan paralel (misalnya, keluarkan uang tunai + kirim struk + perbarui saldo)<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Layar renang<\/strong> ketika terlibat beberapa aktor\/unsur sistem<\/li>\n<li node=\"[object Object]\">Jalur pengecualian dan perulangan (misalnya, 3\u00d7 PIN salah \u2192 simpan kartu)<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Manfaat: Mengubah teks linear menjadi diagram aktivitas yang presisi dan dapat diperiksa<a href=\"https:\/\/www.fliplify.com\/comprehensive-guide-transforming-use-cases-into-uml-activity-diagrams-with-ai\/\">diagram aktivitas UML<\/a> dalam hitungan detik \u2014 transformasi yang sama yang secara tradisional mengungkap logika tersembunyi paling dalam.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3 dir=\"auto\" node=\"[object Object]\">Bagaimana Aliran yang Dipercepat oleh AI Ini Membantu Mengungkap Persyaratan dan Logika yang Lebih Rinci<\/h3>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">AI tidak hanya mempercepat proses; ia berperan sebagai \u201cpenguat persyaratan cerdas\u201d dengan:<\/p>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Mengisi celah secara otomatis<\/strong> \u2014 AI menyimpulkan alternatif\/pengecualian yang masuk akal (misalnya, \u201cuang ATM rendah\u201d atau \u201cstok direservasi tetapi pembayaran gagal\u201d) \u2192 memaksa Anda untuk memvalidasi atau menambahkan aturan.<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Menerapkan struktur dan praktik terbaik UML<\/strong> \u2014 Menyarankan alur modular melalui include\/extend \u2192 mengungkap logika yang dapat digunakan kembali dan mengurangi redundansi.<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Menyoroti konkurensi dan ketergantungan<\/strong> \u2014 Diagram aktivitas menunjukkan paralelisme (fork) dan sinkronisasi (join) \u2192 mengungkap kebutuhan waktu, kinerja, atau integrasi (misalnya, \u201cperbarui stok DAN kirim email pelanggan\u201d harus keduanya berhasil).<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Putaran penyempurnaan iteratif<\/strong> \u2014 Gunakan Chatbot AI (\u201cTambahkan pengecualian untuk pemeriksaan penipuan\u201d atau \u201cTampilkan swimlanes untuk gateway pembayaran\u201d) atau regenerasi setelah edit \u2192 setiap iterasi mengungkap pertanyaan baru.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.archimetric.com\/comprehensive-guide-generating-scenarios-and-test-cases-from-use-case-diagrams-with-ai\/\"><strong node=\"[object Object]\">Menghasilkan laporan dan kasus uji<\/strong><\/a> \u2014 Banyak alat menghasilkan ringkasan alur, tabel keputusan, atau skenario uji secara otomatis \u2192 mengungkap kasus ekstrem untuk divalidasi.<\/li>\n<\/ul>\n<h3 dir=\"auto\" node=\"[object Object]\">Contoh Nyata dengan Visual Paradigm AI<\/h3>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">ATM Ambil Uang<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Prompt: \u201cPenarikan tunai ATM\u201d<\/li>\n<li node=\"[object Object]\">AI menghasilkan deskripsi dengan alur utama + alternatif (dana tidak mencukupi, PIN salah).<\/li>\n<li node=\"[object Object]\">Use Case ke Diagram Aktivitas \u2192 menghasilkan diagram dengan loop percobaan PIN (pembilang), keputusan untuk cek saldo sebelum pencairan, pembaruan akun paralel + pencetakan struk.<\/li>\n<li node=\"[object Object]\">Temuan: AI menyarankan cabang \u201cPeriksa batas harian\u201d \u2192 mengungkap aturan bisnis baru.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Belanja Online \u2013 Tempatkan Pesanan<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Deskripsi AI mencakup pengecekan stok, opsi pembayaran.<\/li>\n<li node=\"[object Object]\">Diagram aktivitas menunjukkan cabang: \u201cProses pembayaran\u201d paralel dengan \u201cReservasi stok\u201d.<\/li>\n<li node=\"[object Object]\">Node keputusan untuk \u201cStok tersedia? \u2192 Tidak: beri tahu \/ pesan ulang\u201d.<\/li>\n<li node=\"[object Object]\">Temuan: AI menambahkan langkah \u201cVerifikasi penipuan\u201d \u2192 memicu diskusi tentang integrasi layanan pihak ketiga.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Perpustakaan Pinjam Buku<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">AI mendeteksi \u201cPeriksa status keanggotaan\u201d yang dibagikan \u2192 menyarankan hubungan include.<\/li>\n<li node=\"[object Object]\">Diagram aktivitas memvisualisasikan alur sub-pembayaran yang halus sebagai wilayah yang dapat dihentikan.<\/li>\n<li node=\"[object Object]\">Temuan: AI mengusulkan pengecualian \u201cAntrian reservasi\u201d \u2192 mengungkap kebutuhan logika antrian tunggu.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Dalam praktiknya, tim yang menggunakan alat ini melaporkan kemajuan 50\u201380% lebih cepat dari ide tingkat tinggi ke logika visual yang rinci \u2014 dengan persyaratan yang lebih sedikit terlewat karena AI memicu pertimbangan cabang, konkurensi, dan pengecualian yang sering diabaikan dalam deskripsi teks manual.<\/p>\n<\/div>\n<h2>Ringkasan<\/h2>\n<p>Perjalanan dari <strong>Use Case<\/strong> ke <strong>Deskripsi<\/strong> ke <strong>Diagram Aktivitas<\/strong> adalah metodologi yang terbukti efektif untuk memastikan spesifikasi sistem yang komprehensif. Kasus pengguna menentukan <em>apa<\/em>, deskripsi menceritakan <em>bagaimana<\/em> dalam kata-kata, dan diagram aktivitas memformalkan <em>bagaimana<\/em> dalam logika visual.<\/p>\n<p>Meskipun mungkin menggoda untuk berhenti pada deskripsi teks, melakukan hal tersebut sering kali meninggalkan aturan bisnis kritis dan kasus-kasus tepi yang tidak terdefinisi. Dengan memaksa persyaratan melalui logika ketat dari diagram visual, tim dapat secara sistematis mengungkap celah, memvalidasi logika, dan secara dramatis meningkatkan kualitas serta kemampuan pengujian produk perangkat lunak akhir.<\/p>\n<p dir=\"auto\" style=\"white-space-collapse: preserve;\">Studio AI Kasus Pengguna Visual Paradigm (khususnya aplikasi Generator Deskripsi + Konversi Kasus Pengguna ke Diagram Aktivitas) mengubah alur klasik kasus pengguna \u2192 deskripsi \u2192 diagram aktivitas dari proses manual yang lambat dan rentan kesalahan menjadi proses cepat, cerdas, dan iteratif. Tidak hanya menghemat waktu, tetapi secara aktif membantu mengungkap kebutuhan sistem yang lebih mendalam, kasus-kasus tepi tersembunyi, aturan bisnis, dan logika perilaku \u2014 tepat di tempat nilai terbesar dari kemajuan pemodelan ini terletak. Bagi siapa saja yang melakukan rekayasa kebutuhan, pemodelan UML, atau elaborasi cerita pengguna agile, fitur AI ini membuat tangga penyempurnaan jauh lebih kuat dan praktis di tahun 2026.<\/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:\/\/ai.visual-paradigm.com\/use-case-to-activity-diagram\/editor\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Editor Berbasis AI untuk Mengonversi Kasus Pengguna ke Diagram Aktivitas<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/blog.visual-paradigm.com\/\ud83d\ude80-generate-activity-diagrams-from-use-cases-instantly-\ud83d\ude80\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Hasilkan Diagram Aktivitas dari Kasus Pengguna Secara Instan dengan AI Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.fliplify.com\/comprehensive-guide-transforming-use-cases-into-uml-activity-diagrams-with-ai\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Panduan Lengkap: Mengubah Kasus Pengguna menjadi Diagram Aktivitas UML dengan AI<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-uml-activity-diagrams-ai-visual-paradigm\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Menguasai Diagram Aktivitas UML dengan AI | Blog Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.cybermedian.com\/mastering-swimlane-activity-diagrams-a-practical-guide-with-examples\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Menguasai Diagram Aktivitas Swimlane: Panduan Praktis dengan Contoh<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/integrating-ai-activity-diagrams-into-visual-paradigm\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Mengintegrasikan Diagram Aktivitas Berbasis AI ke dalam Visual Paradigm Anda \u2026<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/circle.visual-paradigm.com\/activity-diagram-example-swimlane\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Diagram Aktivitas, Contoh Diagram UML: Swimlane \u2013 Komunitas Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.visual-paradigm.com\/learning\/handbooks\/software-design-handbook\/activity-diagram.jsp\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Diagram Aktivitas dalam Desain Perangkat Lunak | Panduan Visual Paradigm<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dalam lanskap yang kompleks dari rekayasa kebutuhan dan pemodelan UML (Bahasa Pemodelan Terpadu), kejelasan sangat penting. Tiga artefak khusus membentuk tiga elemen yang saling terkait erat yang menjamin kejelasan ini:&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":"Kasus Pengguna, Deskripsi, dan Diagram Aktivitas: Panduan","_yoast_wpseo_metadesc":"Jelajahi bagaimana menghubungkan Kasus Pengguna, Deskripsi Teks, dan Diagram Aktivitas menciptakan alur kerja yang kuat untuk mengungkap kebutuhan tersembunyi dan logika bisnis.","fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[82],"tags":[],"class_list":["post-3126","post","type-post","status-publish","format-standard","hentry","category-ai-visual-modeling"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kasus Pengguna, Deskripsi, dan Diagram Aktivitas: Panduan<\/title>\n<meta name=\"description\" content=\"Jelajahi bagaimana menghubungkan Kasus Pengguna, Deskripsi Teks, dan Diagram Aktivitas menciptakan alur kerja yang kuat untuk mengungkap kebutuhan tersembunyi dan logika bisnis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.go2posts.com\/id\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kasus Pengguna, Deskripsi, dan Diagram Aktivitas: Panduan\" \/>\n<meta property=\"og:description\" content=\"Jelajahi bagaimana menghubungkan Kasus Pengguna, Deskripsi Teks, dan Diagram Aktivitas menciptakan alur kerja yang kuat untuk mengungkap kebutuhan tersembunyi dan logika bisnis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.go2posts.com\/id\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Go 2 Posts Indonesian | Breaking Digital News &amp; 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