edit avg proyeksi data equipment

src/modules/equipment/Prediksi.py

@@ -796,15 +796,8 @@ class Prediksi:
                         if recent_vals.empty:
                             avg = 0.0
                         else:
-                            # Pastikan numeric; jika gagal, pakai mean dari yang bisa dikonversi
+                            avg = pd.to_numeric(recent_vals, errors="coerce").fillna(0).mean()
-                            try:
+                            avg = 0.0 if pd.isna(avg) else float(avg)
-                                avg = float(np.nanmean(recent_vals.astype(float)))
-                            except Exception:
-                                # jika conversion gagal gunakan mean pandas (objek mungkin numeric-like)
-                                avg = float(recent_vals.mean())
-
-                        if "interval" in col_lower:
-                            avg = max(0.0, avg)
 
                         preds = np.repeat(float(avg), n_future)
                         print(preds)