Update src/streamlit_app.py

src/streamlit_app.py

@@ -30,15 +30,41 @@ if df.isnull().values.any():
     st.warning("⚠️ Harap lengkapi semua nilai pada tabel sebelum menjalankan perhitungan.")
     st.stop()
 
-# --- Step 3: Input Bobot Kriteria ---
-st.subheader("⚖️ Bobot Kriteria")
-weight_dict = {}
-cols = st.columns(len(criteria))
-for i, c in enumerate(criteria):
-    with cols[i]:
-        weight_dict[c] = st.number_input(f"Bobot untuk '{c}'", min_value=1.0, max_value=10.0, value=5.0, step=0.1)
-weights = np.array([weight_dict[c] for c in criteria])
-weights /= weights.sum()  # normalize
+if method == "AHP":
+    st.subheader("🔗 Perbandingan Berpasangan Antar Kriteria (AHP)")
+    pairwise_matrix = pd.DataFrame(np.ones((len(criteria), len(criteria))), index=criteria, columns=criteria)
+
+    for i in range(len(criteria)):
+        for j in range(i + 1, len(criteria)):
+            val = st.number_input(
+                f"Seberapa penting '{criteria[i]}' dibandingkan '{criteria[j]}'?",
+                min_value=1/9.0, max_value=9.0, value=1.0, step=0.1,
+                key=f"{criteria[i]}_{criteria[j]}"
+            )
+            pairwise_matrix.iloc[i, j] = val
+            pairwise_matrix.iloc[j, i] = 1 / val
+
+    st.write("📊 Matriks Perbandingan Kriteria:")
+    st.dataframe(pairwise_matrix)
+
+    norm_matrix = pairwise_matrix / pairwise_matrix.sum()
+    weights = norm_matrix.mean(axis=1).values
+    weights /= weights.sum()
+
+    st.write("🎯 Bobot Kriteria dari AHP:")
+    st.dataframe(pd.Series(weights, index=criteria, name="Bobot"))
+
+else:
+    # --- Step 3 (non-AHP): Manual Bobot Kriteria ---
+    st.subheader("⚖️ Bobot Kriteria")
+    weight_dict = {}
+    cols = st.columns(len(criteria))
+    for i, c in enumerate(criteria):
+        with cols[i]:
+            weight_dict[c] = st.number_input(f"Bobot untuk '{c}'", min_value=1.0, max_value=10.0, value=5.0, step=0.1)
+    weights = np.array([weight_dict[c] for c in criteria])
+    weights /= weights.sum()  # normalize
+
 
 # --- Step 4: Ideal Profile ---
 st.subheader("🎯 Ideal Profile (untuk Profile Matching)")