Update app.py

app.py

@@ -320,6 +320,10 @@ df_full_report = df.copy()
 # =================== FILTERS (Sidebar) =====================
 filter_dict = {}
 
+# ✅ Tambahkan judul di sidebar
+st.sidebar.markdown("### Filter IF Need Specific Conditions")
+st.sidebar.markdown("---")  # Opsional: garis pemisah untuk estetika
+
 with st.sidebar.form("filters_form"):
     # ---------------- Date Range ----------------
     if 'date' in df.columns and not df['date'].isna().all():
@@ -449,7 +453,7 @@ def hour_range_label_full(hour):
     return 'Unknown'
 
 # ===================== MAIN VISUALIZATION =====================
-st.subheader("Objective 1: Visualizing Operator Fatigue Patterns by Shift Hours")
+st.subheader("OBJECTIVE 1: Want to see fatigue patterns across different shifts?")
 if 'start' in df.columns and not df.empty:
     try:
         # --- Data Preparation ---
@@ -657,7 +661,7 @@ else:
 #Objective 
 #
 #Objective 1
-st.subheader("OBJECTIVE 2: Identify Fatigue Patterns at the Start, Middle, and End of Shifts by Hourly Categories by Date")
+st.subheader("OBJECTIVE 2: How does operator energy fluctuate from start to finish of each shift?")
 if 'start' in df.columns and not df.empty:
     try:
         df_local = df.copy()
@@ -753,7 +757,7 @@ else:
 
 # =================== OBJECTIVE 3: Daily Roster Insight per Week (Scatter Plot) =====================
 # =================== OBJECTIVE 3: Daily Roster Insight per Week (Scatter Plot) =====================
-st.subheader("OBJECTIVE 3: Daily Roster Insight per Week")
+st.subheader("OBJECTIVE 3: Looking for patterns in your team’s weekly roster?")
 if not df.empty and col_operator in df.columns and col_shift and col_shift in df.columns:
     try:
         df['date'] = pd.to_datetime(df['date'])
@@ -1058,7 +1062,7 @@ except Exception as e:
 # ... (kode sebelumnya tetap sama) ...
 
 # =================== OBJECTIVE 5: Operator Fatigue Risk Gradient Dashboard =====================
-st.subheader("OBJECTIVE 5: Operator Fatigue Risk Gradient Dashboard (Weekly Average Events & Trend Analysis)")
+st.subheader("OBJECTIVE 5: See your team’s fatigue risk gradient at a glance!")
 # Custom CSS untuk tampilan ala market saham yang sangat fancy dan profesional
 st.markdown("""
 <style>
@@ -1523,7 +1527,7 @@ else:
         # AI RECOMMENDATIONS - JUGA BERSEBELAHAN
         # ===============================================================
         st.markdown("---")
-        st.subheader("AI Recommendations")
+        st.subheader("Recommendations for Objective 5")
 
         # Gunakan kolom untuk menampilkan rekomendasi secara bersebelahan
         col_rec1, col_rec2 = st.columns(2)
@@ -1597,7 +1601,7 @@ else:
 # ... (kode setelah Objective 5 tetap sama) ...
 
 # =================== OBJECTIVE 6: Automated Insights & AI Recommendations =====================
-st.subheader("OBJECTIVE 6: Automated Insight Summary & AI Recommendations")
+st.subheader("OBJECTIVE 6: Instant Insights & Recommendations")
 
 # Membagi tampilan menjadi dua kolom
 col_insights, col_recs = st.columns(2)
@@ -1670,7 +1674,7 @@ with col_insights:
 
 # Kolom kanan: AI Recommendations
 with col_recs:
-    st.subheader("AI Recommendations")
+    st.subheader("Recommendations")
     ai_recs = []
     insights_found = [] # Untuk menyimpan insight yang ditemukan
 
@@ -1783,9 +1787,4 @@ with col_recs:
 
 # ================= FOOTER ===========================
 st.markdown("---")
-st.markdown('<div class="footer">MineVision AI - Transforming Mining Safety with Intelligent Analytics | Contact: info@bukittechnology.com</div>', unsafe_allow_html=True)
-
-
-# ================= FOOTER ===========================
-st.markdown("---")
-st.markdown('<div class="footer">MineVision AI - Transforming Mining Safety with Intelligent Analytics | Contact: info@bukittechnology.com</div>', unsafe_allow_html=True)
+st.markdown('<div class="footer">FatigueAnalyzer - Transforming Mining Safety with Intelligent Analytics | Contact: info@bukittechnology.com</div>', unsafe_allow_html=True)