diff --git a/core/__pycache__/forms.cpython-311.pyc b/core/__pycache__/forms.cpython-311.pyc
index fe54f61..ca0a07b 100644
Binary files a/core/__pycache__/forms.cpython-311.pyc and b/core/__pycache__/forms.cpython-311.pyc differ
diff --git a/core/__pycache__/views.cpython-311.pyc b/core/__pycache__/views.cpython-311.pyc
index 2512f3d..a295251 100644
Binary files a/core/__pycache__/views.cpython-311.pyc and b/core/__pycache__/views.cpython-311.pyc differ
diff --git a/core/forms.py b/core/forms.py
index ae1e584..243e755 100644
--- a/core/forms.py
+++ b/core/forms.py
@@ -15,7 +15,7 @@ class ProblemCaseForm(forms.ModelForm):
             "description": forms.Textarea(attrs={
                 "class": "form-control problem-textarea",
                 "rows": 9,
-                "placeholder": "Contoh: Kuliah di Singapura atau Jepang, dana 200 juta, ingin 3 tahun selesai.",
+                "placeholder": "Contoh: BUMN rugi karena biaya tinggi, omzet turun 30%, atau kuliah Jepang/Singapura dengan dana 200 juta.",
             }),
             "urgency": forms.TextInput(attrs={
                 "type": "range",
diff --git a/core/templates/core/index.html b/core/templates/core/index.html
index b4b9bdd..128e8a5 100644
--- a/core/templates/core/index.html
+++ b/core/templates/core/index.html
@@ -16,7 +16,7 @@
           <p class="eyebrow mb-3">Mesin Pemecah Masalah Universal & Decision Intelligence Platform</p>
           <h1 class="display-heading mb-4">💡 OPTEMA AI</h1>
           <h2 class="hero-subtitle mb-3">Optimal, Effective, Efficient Management Assistant</h2>
-          <p class="hero-copy mb-4">MVP single-user tanpa login: masukkan masalah bisnis, keuangan, karier, logistik, teknologi, atau pendidikan; atur urgensi, lalu dapatkan simulasi Problem Detection, Root Cause, Decision Scoring, dan Action Plan yang tersimpan otomatis.</p>
+          <p class="hero-copy mb-4">MVP single-user tanpa login: masukkan masalah pemerintah/publik, bisnis, keuangan, karier, logistik, teknologi, atau pendidikan; atur urgensi, lalu dapatkan simulasi Problem Detection, Root Cause, Decision Scoring, dan Action Plan yang tersimpan otomatis.</p>
           <div class="d-flex flex-wrap gap-3">
             <a href="#analisis" class="btn btn-optema btn-lg">Jalankan Analisis AI</a>
             <a href="{% url 'case_list' %}" class="btn btn-outline-optema btn-lg">Lihat Riwayat Case</a>
@@ -70,7 +70,7 @@
               <span class="panel-icon">📥</span>
               <div>
                 <h2>Input Masalah</h2>
-                <p>Masukkan masalah, target, atau hambatan Anda. Contoh: kuliah Singapura/Jepang dengan budget terbatas.</p>
+                <p>Masukkan masalah, target, atau hambatan Anda. Contoh: BUMN rugi karena biaya tinggi, omzet toko turun, atau kuliah Singapura/Jepang dengan budget terbatas.</p>
               </div>
             </div>
             <form method="post" novalidate>
diff --git a/core/views.py b/core/views.py
index 8e32400..188d8d3 100644
--- a/core/views.py
+++ b/core/views.py
@@ -228,6 +228,7 @@ def _build_case_insights(description, category=None):
     countries = case_data.get("countries")
     percentages = case_data.get("percentages") or []
     detected = [
+        {"label": "Sektor/Kategori", "value": category or "Umum", "note": "hasil deteksi keyword dari knowledge database OPTEMA"},
         {"label": "Dana/budget", "value": _format_idr(budget) if budget else "Belum disebut", "note": "angka terbesar yang terdeteksi sebagai uang" if budget else "tambahkan nominal agar kalkulasi lebih presisi"},
         {"label": "Target waktu", "value": _format_years(years) if years else "Belum disebut", "note": "diambil dari kata tahun/bulan/semester" if years else "tambahkan deadline atau durasi target"},
         {"label": "Persentase/rasio", "value": ", ".join(f"{value:g}%" for value in percentages) if percentages else "Belum disebut", "note": "persen yang muncul di pertanyaan" if percentages else "tambahkan rasio seperti turun 30% atau target naik 20%"},
@@ -271,6 +272,12 @@ def _build_case_insights(description, category=None):
             if best["shortfall_low"] else
             f"Opsi paling aman secara angka awal adalah {best['country']} karena estimasi minimumnya masih masuk budget."
         )
+    elif category and category != "Pendidikan":
+        category_item = next((item for item in ANALYSIS_DATABASE if item["kategori"] == category), None)
+        if category_item:
+            primary_cause = category_item["penyebab"][0]
+            primary_solution = category_item["solusi"][0]
+            recommendation = f"Sektor terdeteksi: {category}. Dengan konteks {_case_constraint_note(case_data)}, validasi dulu akar masalah utama: {primary_cause}. Prioritas solusi awal: {primary_solution}."
     elif calculations:
         recommendation = f"Analisis disesuaikan dengan {_case_constraint_note(case_data)}; gunakan angka ini sebagai batas saat memilih solusi."
 
@@ -291,6 +298,114 @@ def _build_case_insights(description, category=None):
     }
 
 
+SECTOR_DATABASE = {
+    "pemerintah": {
+        "kategori": "Pemerintah",
+        "keyword": [
+            "bumn", "kementerian", "negara", "pemerintah", "anggaran", "publik",
+            "dinas", "pemda", "layanan publik", "instansi",
+        ],
+        "root": [
+            "Inefisiensi operasional",
+            "Pengawasan lemah",
+            "Tata kelola buruk",
+            "Beban biaya tinggi",
+            "Strategi tidak tepat",
+        ],
+        "solution": [
+            "Restrukturisasi organisasi",
+            "Audit biaya",
+            "Perbaikan tata kelola",
+            "Digitalisasi proses",
+            "Evaluasi kinerja",
+        ],
+        "impact_label": "Publik/anggaran",
+        "priority": 25,
+    },
+    "bisnis": {
+        "kategori": "Bisnis",
+        "keyword": [
+            "bisnis", "usaha", "jualan", "toko", "produk", "omzet",
+            "penjualan", "layanan", "customer", "pelanggan",
+        ],
+        "root": [
+            "Target pasar salah",
+            "Marketing kurang efektif",
+            "Produk tidak sesuai kebutuhan",
+            "Biaya operasional tinggi",
+        ],
+        "solution": [
+            "Riset pelanggan",
+            "Perbaikan produk",
+            "Optimasi pemasaran",
+            "Efisiensi operasional",
+        ],
+        "impact_label": "Besar",
+        "priority": 10,
+    },
+    "keuangan": {
+        "kategori": "Keuangan",
+        "keyword": [
+            "uang", "hutang", "utang", "modal", "gaji", "biaya",
+            "cashflow", "kas", "tabungan", "budget",
+        ],
+        "root": [
+            "Cashflow tidak sehat",
+            "Pengeluaran besar",
+            "Pemasukan rendah",
+        ],
+        "solution": [
+            "Kontrol biaya",
+            "Buat anggaran",
+            "Tambah pendapatan",
+        ],
+        "impact_label": "Cashflow/budget",
+        "priority": 10,
+    },
+    "teknologi": {
+        "kategori": "Teknologi",
+        "keyword": [
+            "aplikasi", "website", "coding", "software", "error",
+            "program", "bug", "sistem", "otomatisasi",
+        ],
+        "root": [
+            "Bug sistem",
+            "Arsitektur kurang baik",
+            "Proses manual",
+        ],
+        "solution": [
+            "Audit sistem",
+            "Perbaikan kode",
+            "Otomatisasi",
+        ],
+        "impact_label": "Teknis/operasional",
+        "priority": 10,
+    },
+    "logistik": {
+        "kategori": "Logistik",
+        "keyword": [
+            "kirim", "barang", "gudang", "rute", "pengiriman",
+            "distribusi", "tracking", "kurir",
+        ],
+        "root": [
+            "Rute buruk",
+            "Monitoring kurang",
+            "Distribusi lambat",
+        ],
+        "solution": [
+            "Optimasi rute",
+            "Tracking real-time",
+            "Perbaikan SOP",
+        ],
+        "impact_label": "Operasional",
+        "priority": 10,
+    },
+}
+
+for sector_data in SECTOR_DATABASE.values():
+    sector_data["penyebab"] = sector_data["root"]
+    sector_data["solusi"] = sector_data["solution"]
+
 ANALYSIS_DATABASE = [
     {
         "kategori": "Pendidikan",
@@ -312,39 +427,9 @@ ANALYSIS_DATABASE = [
         "impact_label": "Budget ketat",
         "priority": 50,
     },
-    {
-        "kategori": "Bisnis",
-        "keyword": ["jualan", "penjualan", "produk", "usaha", "bisnis", "toko"],
-        "penyebab": [
-            "Target pasar tidak tepat",
-            "Promosi kurang efektif",
-            "Produk belum sesuai kebutuhan pasar",
-        ],
-        "solusi": [
-            "Riset pelanggan",
-            "Perbaiki produk",
-            "Optimasi pemasaran",
-            "Bangun channel penjualan",
-        ],
-        "impact_label": "Besar",
-        "priority": 10,
-    },
-    {
-        "kategori": "Keuangan",
-        "keyword": ["uang", "hutang", "utang", "gaji", "tabungan", "biaya"],
-        "penyebab": [
-            "Tidak ada kontrol keuangan",
-            "Pengeluaran terlalu besar",
-            "Pemasukan kurang optimal",
-        ],
-        "solusi": [
-            "Buat anggaran",
-            "Kurangi biaya tidak penting",
-            "Cari sumber pemasukan baru",
-        ],
-        "impact_label": "Cashflow/budget",
-        "priority": 10,
-    },
+    SECTOR_DATABASE["pemerintah"],
+    SECTOR_DATABASE["bisnis"],
+    SECTOR_DATABASE["keuangan"],
     {
         "kategori": "Karier",
         "keyword": ["kerja", "pekerjaan", "cv", "skill", "karir", "karier"],
@@ -361,41 +446,26 @@ ANALYSIS_DATABASE = [
         "impact_label": "Dampak karier",
         "priority": 10,
     },
+    SECTOR_DATABASE["logistik"],
+    SECTOR_DATABASE["teknologi"],
     {
-        "kategori": "Logistik",
-        "keyword": ["kirim", "pengiriman", "barang", "gudang", "rute"],
+        "kategori": "Umum",
+        "keyword": [],
         "penyebab": [
-            "Rute tidak optimal",
-            "Monitoring kurang",
-            "Proses distribusi lambat",
+            "Tujuan dan batasan belum cukup spesifik",
+            "Data pendukung belum lengkap",
+            "Opsi solusi belum diprioritaskan",
         ],
         "solusi": [
-            "Optimasi rute",
-            "Tracking barang",
-            "Perbaiki sistem distribusi",
+            "Perjelas tujuan dan indikator sukses",
+            "Kumpulkan data utama sebelum mengambil keputusan",
+            "Bandingkan opsi dengan skor dampak, biaya, waktu, dan risiko",
         ],
-        "impact_label": "Operasional",
-        "priority": 10,
-    },
-    {
-        "kategori": "Teknologi",
-        "keyword": ["aplikasi", "website", "coding", "program", "error", "bug"],
-        "penyebab": [
-            "Sistem belum optimal",
-            "Arsitektur kurang tepat",
-            "Bug perangkat lunak",
-        ],
-        "solusi": [
-            "Audit sistem",
-            "Perbaiki kode",
-            "Optimasi teknologi",
-        ],
-        "impact_label": "Teknis/operasional",
-        "priority": 10,
+        "impact_label": "Perlu validasi",
+        "priority": 0,
     },
 ]
 
-
 def _detect_problem_category(description):
     text = description.lower()
     best_item = None
@@ -411,12 +481,14 @@ def _detect_problem_category(description):
             score += 35
         if item["kategori"] == "Pendidikan" and _has_any(text, ["singapura", "singapore", "jepang", "japan"]):
             score += 20
+        if item["kategori"] == "Pemerintah" and _has_any(text, ["bumn", "kementerian", "pemerintah", "anggaran negara", "layanan publik"]):
+            score += 25
 
         if score > best_score:
             best_item = item
             best_score = score
 
-    return best_item or next(item for item in ANALYSIS_DATABASE if item["kategori"] == "Bisnis")
+    return best_item or next(item for item in ANALYSIS_DATABASE if item["kategori"] == "Umum")
 
 
 def _is_education_decision(description):
@@ -437,7 +509,7 @@ def _infer_business_area(description):
     text = description.lower()
     kategori = _detect_problem_category(description)["kategori"]
 
-    if kategori == "Pendidikan":
+    if kategori in {"Pendidikan", "Pemerintah", "Umum"}:
         return ProblemCase.AREA_OTHER
     if kategori == "Keuangan":
         return ProblemCase.AREA_FINANCE
@@ -656,7 +728,7 @@ def home(request):
         "form": form,
         "recent_cases": recent_cases,
         "page_title": "OPTEMA AI — MVP Decision Intelligence",
-        "meta_description": "OPTEMA AI membantu mengubah masalah bisnis, keuangan, karier, logistik, teknologi, dan pendidikan menjadi problem detection, root-cause analysis, decision scoring, dan action plan.",
+        "meta_description": "OPTEMA AI membantu mengubah masalah pemerintah/publik, bisnis, keuangan, karier, logistik, teknologi, dan pendidikan menjadi problem detection, root-cause analysis, decision scoring, dan action plan.",
     }
     return render(request, "core/index.html", context)