{"id":3753,"date":"2026-02-27T10:04:04","date_gmt":"2026-02-27T10:04:04","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/id\/mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas\/"},"modified":"2026-02-27T10:04:04","modified_gmt":"2026-02-27T10:04:04","slug":"mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/id\/mastering-strategic-analysis-a-comprehensive-guide-to-porters-five-forces-canvas\/","title":{"rendered":"Menguasai Analisis Strategis: Panduan Lengkap tentang Kanvas Lima Kekuatan Porter"},"content":{"rendered":"<p>Di tengah kerumitan dunia bisnis modern, memahami lingkungan kompetitif Anda bukan hanya keunggulan\u2014tetapi keharusan. Baik Anda seorang pendiri startup yang mencari titik masuk pasar atau eksekutif perusahaan yang menganalisis pergeseran industri, memiliki kerangka kerja terstruktur untuk mengevaluasi profitabilitas dan persaingan sangat penting. Di sinilah <strong>Kanvas Lima Kekuatan Porter<\/strong> menjadi tidak tergantikan.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/10\/Porters-Five-Forces-Canvas-layout-1024x540.png\"\/><\/p>\n<p>Panduan komprehensif ini mengeksplorasi mekanisme dari <a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">analisis industri strategis<\/a>, mendefinisikan komponen utama kerangka Lima Kekuatan, dan menunjukkan bagaimana alat modern seperti Visual Paradigm Online memanfaatkan Kecerdasan Buatan untuk mengubah diagram statis menjadi aset strategis yang dinamis.<\/p>\n<h2>Konsep Kunci: Memahami Kerangka Lima Kekuatan<\/h2>\n<p>Sebelum memasuki pelaksanaan, sangat penting untuk memahami elemen dasar dari kerangka Michael Porter. Alat ini dirancang untuk menganalisis struktur persaingan dalam suatu industri untuk menentukan &#8216;daya tarik&#8217; korporat dan potensi profitabilitasnya.<\/p>\n<h3>1. Persaingan Kompetitif<\/h3>\n<p>Gaya ini mengukur tingkat intensitas persaingan dalam industri. Persaingan yang tinggi membatasi kemampuan perusahaan untuk menetapkan harga dan mencapai keuntungan tinggi. Faktor-faktor yang memengaruhi hal ini meliputi jumlah pesaing, tingkat pertumbuhan industri, dan hambatan keluar pasar.<\/p>\n<h3>2. Ancaman Masuknya Pesaing Baru<\/h3>\n<p>Ini mengacu pada kemudahan yang dapat dimasuki oleh pesaing baru ke pasar. Jika hambatan masuk (seperti persyaratan modal, regulasi, atau loyalitas merek) rendah, ancaman akan tinggi, yang dapat memaksa perusahaan yang sudah ada untuk menjaga harga tetap rendah dan berinvestasi secara besar-besaran dalam retensi pelanggan.<\/p>\n<h3>3. Kekuatan Negosiasi Pemasok<\/h3>\n<p>Pemasok menggunakan kekuatan mereka dengan menaikkan harga atau menurunkan kualitas barang dan jasa. Pemasok yang kuat dapat menggerogoti profitabilitas industri yang tidak mampu menaikkan harga untuk menanggung kenaikan biaya. Kekuatan tinggi terjadi ketika jumlah pemasok sedikit atau biaya pergantian tinggi.<\/p>\n<h3>4. Kekuatan Negosiasi Pembeli<\/h3>\n<p>Pelanggan dapat memaksa penurunan harga, menuntut kualitas yang lebih baik atau layanan lebih banyak, serta memainkan pesaing satu sama lain\u2014semuanya dengan mengorbankan profit industri. Kekuatan pembeli meningkat ketika jumlah pembeli sedikit, atau ketika mereka membeli dalam volume besar.<\/p>\n<h3>5. Ancaman Produk Pengganti<\/h3>\n<p>Produk pengganti adalah produk yang memenuhi kebutuhan yang sama dengan produk industri tetapi dengan cara yang berbeda. Kehadiran produk pengganti yang dekat menetapkan batas atas terhadap harga dan keuntungan. Jika biaya pergantian rendah, ancaman menjadi signifikan.<\/p>\n<h2>VP AI: Bagaimana Visual Paradigm AI Meningkatkan Analisis Strategis<\/h2>\n<p>Perencanaan strategis tradisional sering melibatkan sesi brainstorming manual yang bisa tidak terstruktur dan memakan waktu. Visual Paradigm Online mengintegrasikan kemampuan AI canggih langsung ke dalam <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Toolkit Kanvas<\/a> untuk mengotomatisasi dan meningkatkan proses ini.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Pembuatan Kanvas Berbasis AI<\/h3>\n<p>Memulai dari halaman kosong seringkali merupakan bagian tersulit dari strategi. Dengan <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">pembuat kanvas AI<\/a>, Anda hanya perlu menguraikan konsep industri dasar atau ide bisnis Anda. AI akan secara otomatis menghasilkan kerangka Lima Kekuatan Porter yang terstruktur dan penuh wawasan. Ini menetapkan fondasi langsung untuk pengembangan strategi yang efektif, menghemat jam-jam pengaturan manual dan penelitian awal.<\/p>\n<h3>Peningkatan Ide Cerdas<\/h3>\n<p>Kendala kreativitas dapat menghambat analisis. Asisten ideasi AI berperan sebagai konsultan digital, memberikan masukan cerdas dan berbasis konteks untuk setiap segmen kanvas. Baik Anda kesulitan mengidentifikasi hambatan masuk yang samar atau ancaman pemasok yang halus, AI menyarankan sudut pandang inovatif dan mengembangkan pemikiran awal Anda, memastikan analisis yang lebih komprehensif.<\/p>\n<h3>Wawasan Strategis AI Tingkat Lanjut<\/h3>\n<p>Data harus menggerakkan strategi. Di luar sekadar mengisi kotak-kotak, Visual Paradigm memungkinkan Anda melakukan analisis mendalam pada kanvas yang telah Anda selesaikan. Anda dapat langsung melakukan pengecekan silang seperti <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/swot-analysis-tool\/\">analisis SWOT<\/a> (Kekuatan, Kelemahan, Peluang, Ancaman) atau <a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-scenario-analysis-software-for-strategic-business-planning\/\">penilaian kelayakan pasar<\/a> berdasarkan data dalam kanvas Lima Kekuatan Anda. Ini memungkinkan Anda memvalidasi asumsi dan mengungkap peluang pertumbuhan baru dengan presisi algoritmik.<\/p>\n<h2>Panduan: Implementasi Langkah demi Langkah<\/h2>\n<p>Untuk memaksimalkan nilai dari Kanvas Lima Kekuatan Porter, ikuti pendekatan terstruktur ini untuk bergerak dari pengamatan ke strategi yang dapat diambil tindakan.<\/p>\n<h3>Langkah 1: Tentukan Lingkup Industri<\/h3>\n<p>Bersikap spesifik mengenai industri yang sedang Anda analisis. Misalnya, apakah Anda menganalisis &#8220;Industri Makanan Cepat Saji Global&#8221; atau &#8220;pasar lokal makanan cepat santai organik&#8221;? Lingkup yang samar mengarah pada wawasan yang samar.<\/p>\n<h3>Langkah 2: Evaluasi Setiap Kekuatan Secara Individual<\/h3>\n<p>Lakukan secara sistematis kelima bagian kanvas. Jangan hanya mencantumkan faktor; evaluasi <strong>kekuatan<\/strong> setiap kekuatan (Rendah, Sedang, Tinggi). <br \/><strong>Contoh:<\/strong> Di Industri Ride-Sharing, ancaman pengganti mungkin &#8216;Sedang&#8217; karena transportasi umum, sementara persaingan &#8216;Tinggi&#8217; karena harga agresif antar pemain utama.<\/p>\n<h3>Langkah 3: Identifikasi Pendorong Struktural<\/h3>\n<p>Untuk setiap kekuatan, tanyakan &#8220;Mengapa?&#8221;. Daftar pendorong di baliknya. Jika Kekuatan Pemasok tinggi, apakah karena mereka memiliki paten? Jika Kekuatan Pembeli tinggi, apakah karena produk tersebut komoditas?<\/p>\n<h3>Langkah 4: Analisis Keterkaitan<\/h3>\n<p>Cari hubungan antar kekuatan. Apakah persaingan yang tinggi menyebabkan perang harga yang meningkatkan kekuatan pembeli? Apakah teknologi baru meningkatkan ancaman pengganti sekaligus menurunkan hambatan masuk?<\/p>\n<h3>Langkah 5: Rumuskan Strategi<\/h3>\n<p>Gunakan wawasan tersebut untuk menentukan posisi strategis Anda. Dapatkah Anda menempatkan diri di tempat kekuatan paling lemah? Dapatkah Anda memanfaatkan perubahan pada kekuatan-kekuatan tersebut? Gunakan kanvas untuk menentukan apakah harus berbeda, fokus pada segmen tertentu, atau menjadi pemimpin biaya.<\/p>\n<h2>Kiat dan Trik untuk Optimalisasi<\/h2>\n<p>Manfaatkan praktik terbaik dan fitur khusus alat ini untuk mendapatkan hasil maksimal dari sesi perencanaan strategis Anda.<\/p>\n<ul>\n<li><strong>Gunakan Mode Fokus:<\/strong> Saat menghadapi industri yang kompleks, kanvas bisa menjadi berantakan. Gunakan <em>Mode Fokus<\/em> untuk menyelami satu bagian secara mendalam (misalnya, Kekuatan Pemasok) tanpa gangguan, memungkinkan detail yang lebih kaya dan konsentrasi.<\/li>\n<li><strong>Berkolaborasi Secara Real-Time:<\/strong> Strategi seharusnya bukan usaha tunggal. Undang pemangku kepentingan ke dalam kanvas dan gunakan pengatur waktu terintegrasi untuk menjalankan sesi brainstorming fokus. Ini memastikan berbagai perspektif tercakup.<\/li>\n<li><strong>Hubungkan dengan Kerangka Lain:<\/strong> Lima Gaya Kuat tidak ada dalam ruang hampa. Gunakan alat ini untuk menghubungkan temuan Anda dengan <a href=\"https:\/\/board.visual-paradigm.com\/templates\/pestle-analysis\">Analisis PESTLE<\/a> (untuk memahami faktor makro eksternal) atau Canvas Nilai yang dapat melihat bagaimana produk Anda mengatasi ancaman industri tertentu.<\/li>\n<li><strong>Ekspor untuk Pemangku Kepentingan:<\/strong> Jangan biarkan strategi Anda tertinggal di browser. Gunakan opsi ekspor profesional untuk mengonversi canvas dan laporan analisis AI Anda ke format Word, Markdown, atau PDF. Ini sangat penting untuk mempresentasikan temuan kepada investor atau anggota dewan.<\/li>\n<li><strong>Pembaruan Rutin:<\/strong> Industri berkembang. Anggap Canvas Lima Gaya Kuat Porter sebagai dokumen hidup. Tinjau ulang setiap tiga bulan untuk menyesuaikan dengan regulasi, teknologi, atau pesaing baru.<\/li>\n<\/ul>\n<div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Sumber Daya<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Apa Itu Canvas Model Bisnis? Mengapa Menggunakan Paradigma Visual dan Alat AI<\/a>: Panduan komprehensif ini menjelaskan Canvas Model Bisnis, komponen utamanya, serta bagaimana paradigma visual dan alat berbasis AI meningkatkan perencanaan strategis dan inovasi bisnis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Pembuat Canvas Model Bisnis Berbasis AI \u2013 Desain Strategi Instan<\/a>: Alat berbasis AI yang mengotomatisasi pembuatan canvas model bisnis, memberikan saran cerdas dan wawasan real-time untuk mempercepat perencanaan bisnis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Canvas AI \u2013 Desain Cerdas untuk Kerangka Bisnis<\/a>: Aplikasi canvas berbasis AI yang membantu pengguna menghasilkan dan menyempurnakan model bisnis, proposisi nilai, dan kerangka strategi dengan saran cerdas dan otomatisasi.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Canvas Model Bisnis AI \u2013 Pengembangan Strategi Cerdas<\/a>: Solusi berbasis AI yang komprehensif untuk membangun dan menyempurnakan model bisnis dengan wawasan cerdas, umpan balik real-time, dan fitur kolaboratif.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Pembaruan Rilis Editor Canvas AI<\/a>: Memperkenalkan editor canvas berbasis AI yang meningkatkan pembuatan diagram melalui saran cerdas dan optimasi tata letak otomatis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Panduan Alat Canvas Model Bisnis Berbasis AI<\/a>: Panduan langkah demi langkah tentang menggunakan alat berbasis AI untuk menghasilkan dan menyempurnakan canvas model bisnis dengan input cerdas dan rekomendasi real-time.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Canvas Model Misi | Alat Strategi Berbasis AI oleh VP<\/a>: 28 Oktober 2025 \u2013 Koordinasikan sesi langsung dengan tim Anda menggunakan pengatur waktu bawaan dan ekspor canvas akhir atau laporan ke format profesional seperti Word, Markdown, atau CSV. \u2026 Canvas Model Misi dirancang khusus untuk lembaga nirlaba, instansi pemerintah, usaha sosial, dan organisasi mana pun yang tujuan utamanya adalah pencapaian misi daripada keuntungan.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutorial Komprehensif: Toolkit Canvas Bisnis Berbasis AI dengan Visual Paradigm<\/a>: Halaman ini menyediakan panduan rinci tentang menggunakan toolkit Canvas Model Bisnis berbasis AI yang terintegrasi dengan Visual Paradigm untuk pengembangan strategi bisnis otomatis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Canvas AI \u2013 Visual Paradigm<\/a>: Alat berbasis AI di dalam Visual Paradigm yang memungkinkan pengguna menghasilkan dan menyempurnakan canvas bisnis melalui otomatisasi cerdas dan masukan berbasis bahasa alami.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Menguasai Canvas Model Bisnis dengan AI: Panduan Langkah demi Langkah Menggunakan Visual Paradigm<\/a>: Posting blog ini menawarkan panduan terstruktur tentang memanfaatkan kemampuan AI di Visual Paradigm untuk membuat, menyesuaikan, dan mengoptimalkan Canvas Model Bisnis secara efisien.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Bagaimana Cara Kerja Pembuat Canvas Model Bisnis Berbasis AI \u2013 Visual Paradigm<\/a>: Halaman ini menjelaskan fungsi dari Pembuat Canvas Model Bisnis Berbasis AI, menyoroti bagaimana kecerdasan mesin mengotomatisasi pembuatan canvas dan generasi wawasan strategis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas AI Pembelajaran Mendalam | Templat Kanvas Analisis Alat Strategi<\/a>: Sunting Versi Lokal: Kanvas AI Pembelajaran Mendalam (TW) | Kanvas AI Pembelajaran Mendalam (CN) Lihat halaman ini dalam: EN TW CN \u00b7 Visual Paradigm Online (VP Online) adalah perangkat lunak diagram daring yang mendukung kanvas analisis, berbagai jenis grafik, UML, bagan alir, diagram rak, bagan organisasi, pohon keluarga, ERD, denah lantai, dll.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Produk | Alat Strategi Berbasis AI oleh VP<\/a>: Bangun produk yang dicintai orang-orang. Gabungkan strategi, desain, dan umpan balik ke dalam satu ruang visual dengan Kanvas Produk berbasis AI kami untuk membawa ide ke pasar lebih cepat.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228); text-decoration-line: none; outline: none;\">Kanvas Lean UX | Alat Strategi Berbasis AI oleh VP<\/a>: 28 Oktober 2025 \u2013 Buat kerangka strategi lengkap dalam sekejap. Cukup jelaskan visi Anda, dan generator kanvas AI akan mengubahnya menjadi kanvas terstruktur yang kaya wawasan, membantu Anda memvisualisasikan, merencanakan, dan menyempurnakan ide besar berikutnya.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Lean \u2013 Visual Paradigm<\/a>: 28 Oktober 2025 \u2013 Aplikasi kami dirancang sebagai mitra strategis Anda, menyediakan alat cerdas untuk meningkatkan setiap tahap proses perencanaan Anda untuk Kanvas Model Bisnis. \u2026 Punya ide startup? Cukup masukkan \u2018aplikasi seluler untuk pengiriman makanan rumahan lokal\u2019 dan biarkan AI kami membuat Kanvas Lean lengkap, yang menjelaskan masalah, solusi, dan metrik utama.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Di tengah kerumitan dunia bisnis modern, memahami lingkungan kompetitif Anda bukan hanya keunggulan\u2014tetapi keharusan. Baik Anda seorang pendiri startup yang mencari titik masuk pasar atau eksekutif perusahaan yang menganalisis pergeseran industri, memiliki kerangka kerja terstruktur untuk mengevaluasi profitabilitas dan persaingan sangat penting. Di sinilah Kanvas Lima Kekuatan Porter menjadi tidak tergantikan. Panduan komprehensif ini mengeksplorasi mekanisme dari analisis industri strategis, mendefinisikan komponen utama kerangka Lima Kekuatan, dan menunjukkan bagaimana alat modern seperti Visual Paradigm Online memanfaatkan Kecerdasan Buatan untuk mengubah diagram statis menjadi aset strategis yang dinamis. Konsep Kunci: Memahami Kerangka Lima Kekuatan Sebelum memasuki pelaksanaan, sangat penting untuk memahami elemen dasar dari kerangka Michael Porter. Alat ini dirancang untuk menganalisis struktur persaingan dalam suatu industri untuk menentukan &#8216;daya tarik&#8217; korporat dan potensi profitabilitasnya. 1. Persaingan Kompetitif Gaya ini mengukur tingkat intensitas persaingan dalam industri. Persaingan yang tinggi membatasi kemampuan perusahaan untuk menetapkan harga dan mencapai keuntungan tinggi. Faktor-faktor yang memengaruhi hal ini meliputi jumlah pesaing, tingkat pertumbuhan industri, dan hambatan keluar pasar. 2. Ancaman Masuknya Pesaing Baru Ini mengacu pada kemudahan yang dapat dimasuki oleh pesaing baru ke pasar. Jika hambatan masuk (seperti persyaratan modal, regulasi, atau loyalitas merek) rendah, ancaman akan tinggi, yang dapat memaksa perusahaan yang sudah ada untuk menjaga harga tetap rendah dan berinvestasi secara besar-besaran dalam retensi pelanggan. 3. Kekuatan Negosiasi Pemasok Pemasok menggunakan kekuatan mereka dengan menaikkan harga atau menurunkan kualitas barang dan jasa. Pemasok yang kuat dapat menggerogoti profitabilitas industri yang tidak mampu menaikkan harga untuk menanggung kenaikan biaya. Kekuatan tinggi terjadi ketika jumlah pemasok sedikit atau biaya pergantian tinggi. 4. Kekuatan Negosiasi Pembeli Pelanggan dapat memaksa penurunan harga, menuntut kualitas yang lebih baik atau layanan lebih banyak, serta memainkan pesaing satu sama lain\u2014semuanya dengan mengorbankan profit industri. Kekuatan pembeli meningkat ketika jumlah pembeli sedikit, atau ketika mereka membeli dalam volume besar. 5. Ancaman Produk Pengganti Produk pengganti adalah produk yang memenuhi kebutuhan yang sama dengan produk industri tetapi dengan cara yang berbeda. Kehadiran produk pengganti yang dekat menetapkan batas atas terhadap harga dan keuntungan. Jika biaya pergantian rendah, ancaman menjadi signifikan. VP AI: Bagaimana Visual Paradigm AI Meningkatkan Analisis Strategis Perencanaan strategis tradisional sering melibatkan sesi brainstorming manual yang bisa tidak terstruktur dan memakan waktu. Visual Paradigm Online mengintegrasikan kemampuan AI canggih langsung ke dalam Toolkit Kanvas untuk mengotomatisasi dan meningkatkan proses ini. Pembuatan Kanvas Berbasis AI Memulai dari halaman kosong seringkali merupakan bagian tersulit dari strategi. Dengan pembuat kanvas AI, Anda hanya perlu menguraikan konsep industri dasar atau ide bisnis Anda. AI akan secara otomatis menghasilkan kerangka Lima Kekuatan Porter yang terstruktur dan penuh wawasan. Ini menetapkan fondasi langsung untuk pengembangan strategi yang efektif, menghemat jam-jam pengaturan manual dan penelitian awal. Peningkatan Ide Cerdas Kendala kreativitas dapat menghambat analisis. Asisten ideasi AI berperan sebagai konsultan digital, memberikan masukan cerdas dan berbasis konteks untuk setiap segmen kanvas. Baik Anda kesulitan mengidentifikasi hambatan masuk yang samar atau ancaman pemasok yang halus, AI menyarankan sudut pandang inovatif dan mengembangkan pemikiran awal Anda, memastikan analisis yang lebih komprehensif. Wawasan Strategis AI Tingkat Lanjut Data harus menggerakkan strategi. Di luar sekadar mengisi kotak-kotak, Visual Paradigm memungkinkan Anda melakukan analisis mendalam pada kanvas yang telah Anda selesaikan. Anda dapat langsung melakukan pengecekan silang seperti analisis SWOT (Kekuatan, Kelemahan, Peluang, Ancaman) atau penilaian kelayakan pasar berdasarkan data dalam kanvas Lima Kekuatan Anda. Ini memungkinkan Anda memvalidasi asumsi dan mengungkap peluang pertumbuhan baru dengan presisi algoritmik. Panduan: Implementasi Langkah demi Langkah Untuk memaksimalkan nilai dari Kanvas Lima Kekuatan Porter, ikuti pendekatan terstruktur ini untuk bergerak dari pengamatan ke strategi yang dapat diambil tindakan. Langkah 1: Tentukan Lingkup Industri Bersikap spesifik mengenai industri yang sedang Anda analisis. Misalnya, apakah Anda menganalisis &#8220;Industri Makanan Cepat Saji Global&#8221; atau &#8220;pasar lokal makanan cepat santai organik&#8221;? Lingkup yang samar mengarah pada wawasan yang samar. Langkah 2: Evaluasi Setiap Kekuatan Secara Individual Lakukan secara sistematis kelima bagian kanvas. Jangan hanya mencantumkan faktor; evaluasi kekuatan setiap kekuatan (Rendah, Sedang, Tinggi). Contoh: Di Industri Ride-Sharing, ancaman pengganti mungkin &#8216;Sedang&#8217; karena transportasi umum, sementara persaingan &#8216;Tinggi&#8217; karena harga agresif antar pemain utama. Langkah 3: Identifikasi Pendorong Struktural Untuk setiap kekuatan, tanyakan &#8220;Mengapa?&#8221;. Daftar pendorong di baliknya. Jika Kekuatan Pemasok tinggi, apakah karena mereka memiliki paten? Jika Kekuatan Pembeli tinggi, apakah karena produk tersebut komoditas? Langkah 4: Analisis Keterkaitan Cari hubungan antar kekuatan. Apakah persaingan yang tinggi menyebabkan perang harga yang meningkatkan kekuatan pembeli? Apakah teknologi baru meningkatkan ancaman pengganti sekaligus menurunkan hambatan masuk? Langkah 5: Rumuskan Strategi Gunakan wawasan tersebut untuk menentukan posisi strategis Anda. Dapatkah Anda menempatkan diri di tempat kekuatan paling lemah? Dapatkah Anda memanfaatkan perubahan pada kekuatan-kekuatan tersebut? Gunakan kanvas untuk menentukan apakah harus berbeda, fokus pada segmen tertentu, atau menjadi pemimpin biaya. Kiat dan Trik untuk Optimalisasi Manfaatkan praktik terbaik dan fitur khusus alat ini untuk mendapatkan hasil maksimal dari sesi perencanaan strategis Anda. Gunakan Mode Fokus: Saat menghadapi industri yang kompleks, kanvas bisa menjadi berantakan. Gunakan Mode Fokus untuk menyelami satu bagian secara mendalam (misalnya, Kekuatan Pemasok) tanpa gangguan, memungkinkan detail yang lebih kaya dan konsentrasi. Berkolaborasi Secara Real-Time: Strategi seharusnya bukan usaha tunggal. Undang pemangku kepentingan ke dalam kanvas dan gunakan pengatur waktu terintegrasi untuk menjalankan sesi brainstorming fokus. Ini memastikan berbagai perspektif tercakup. Hubungkan dengan Kerangka Lain: Lima Gaya Kuat tidak ada dalam ruang hampa. Gunakan alat ini untuk menghubungkan temuan Anda dengan Analisis PESTLE (untuk memahami faktor makro eksternal) atau Canvas Nilai yang dapat melihat bagaimana produk Anda mengatasi ancaman industri tertentu. Ekspor untuk Pemangku Kepentingan: Jangan biarkan strategi Anda tertinggal di browser. Gunakan opsi ekspor profesional untuk mengonversi canvas dan laporan analisis AI Anda ke format Word, Markdown, atau PDF. Ini sangat penting untuk mempresentasikan temuan kepada investor atau anggota dewan. Pembaruan Rutin: Industri berkembang. Anggap Canvas Lima Gaya Kuat Porter sebagai dokumen hidup. Tinjau ulang setiap tiga bulan untuk menyesuaikan dengan regulasi, teknologi, atau pesaing baru. Sumber Daya Apa Itu Canvas Model Bisnis? Mengapa Menggunakan Paradigma Visual dan Alat AI: Panduan komprehensif ini menjelaskan Canvas Model Bisnis, komponen utamanya, serta bagaimana paradigma visual dan alat berbasis AI meningkatkan perencanaan strategis dan inovasi bisnis. Pembuat Canvas Model<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Menguasai Kanvas Lima Kekuatan Porter: Panduan Analisis Strategis Berbasis AI","_yoast_wpseo_metadesc":"Panduan komprehensif tentang penggunaan Kanvas Lima Kekuatan Porter untuk analisis industri. 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