Update app.py

app.py

@@ -1122,7 +1122,7 @@ try:
     # ================================
     # 12. DISPLAY TABLE
     # ================================
-    st.subheader("Operator Risk Summary Table (8 Weeks Observed)")
+    st.subheader("Operator Hazard Summary Table (8 Weeks Observed)")
     table_display = (
         risk_matrix[[
             "Operator Name",
@@ -1155,7 +1155,7 @@ except Exception as e:
 
 # ... (kode sebelumnya tetap sama) ...
 
-st.subheader("OBJECTIVE 5:See your team’s fatigue Fatigue Hazard Profile!")
+st.subheader("OBJECTIVE 5:See your team’s Fatigue Hazard Profile!")
 
 # Custom CSS — tetap seperti sebelumnya (sudah sesuai preferensi)
 st.markdown("""
@@ -1546,7 +1546,7 @@ else:
                 for insight in ob_insights:
                     st.markdown(f"""
                     <div class="ai-insight-box">
-                        <div class="ai-insight-title">Risk Summary</div>
+                        <div class="ai-insight-title">Hazard Summary</div>
                         <p>{insight}</p>
                     </div>
                     """, unsafe_allow_html=True)
@@ -1573,7 +1573,7 @@ else:
                 for insight in coal_insights:
                     st.markdown(f"""
                     <div class="ai-insight-box">
-                        <div class="ai-insight-title">Risk Summary</div>
+                        <div class="ai-insight-title">Hazard Summary</div>
                         <p>{insight}</p>
                     </div>
                     """, unsafe_allow_html=True)
@@ -1702,20 +1702,44 @@ with col_insights:
         
 
     # 3. Shift Pattern Analysis
-    if col_shift and col_shift in df.columns:
-        shift_counts = df[col_shift].value_counts()
+# 3. Shift Pattern Analysis
+if col_shift and col_shift in df.columns:
+    shift_counts = df[col_shift].value_counts()
+    st.markdown(f"**Shift Pattern Risk**")
 
-        st.markdown(f"**Shift Pattern Risk**")
-        for shift_val in shift_counts.index:
-            shift_pct = (shift_counts[shift_val] / len(df)) * 100
-            # Ganti st.metric dengan HTML custom
-            st.markdown(f"""<div style="font-size: 24px; font-weight: bold;">{shift_counts[shift_val]}</div><div style="color: red; font-size: 14px; margin-top: -5px;">↑ {shift_pct:.1f}% of total alerts</div>""", unsafe_allow_html=True)
+    for shift_val in shift_counts.index:
+        shift_pct = (shift_counts[shift_val] / len(df)) * 100
 
-            if shift_pct > 50:
-                st.warning(f"Shift {shift_val} has disproportionately high alerts ({shift_pct:.1f}%). Review shift scheduling and workload.")
-            else:
-                st.info(f"Shift {shift_val} alert distribution is acceptable ({shift_pct:.1f}%).")
-    else:
+        # Tampilkan jumlah dan persentase dalam satu div
+        st.markdown(
+            f"""
+            <div style="background-color: #f0f8ff; padding: 10px; border-radius: 8px; margin-bottom: 10px; border-left: 5px solid #007BFF;">
+                <div style="font-size: 24px; font-weight: bold; color: #000000;">Shift {shift_val}</div>
+                <div style="font-size: 28px; font-weight: bold; color: #000000; margin: 10px 0;">
+                    {shift_counts[shift_val]}
+                </div>
+                <div style="color: #d32f2f; font-size: 16px; font-weight: bold; margin-top: -10px;">
+                    ↑ {shift_pct:.1f}% of total alerts
+                </div>
+            </div>
+            """,
+            unsafe_allow_html=True
+        )
+
+        # Gunakan st.markdown untuk warning/info dengan persentase berwarna merah tebal
+        if shift_pct > 50:
+            st.markdown(
+                f"<span style='color:#d32f2f; font-weight:bold;'>⚠️ Shift {shift_val} has disproportionately high alerts ({shift_pct:.1f}%). Review shift scheduling and workload.</span>",
+                unsafe_allow_html=True
+            )
+        else:
+            st.markdown(
+                f"<span style='color:#d32f2f; font-weight:bold;'>✅ Shift {shift_val} alert distribution is acceptable ({shift_pct:.1f}%).</span>",
+                unsafe_allow_html=True
+            )
+
+else:
+    st.info("Shift data not available for Shift Pattern Analysis.")
         st.info("Shift data not available for Shift Pattern Analysis.")
 
     # 4. Operator Risk Profiling