Update utils/preprocessing.py

utils/preprocessing.py

@@ -2,13 +2,13 @@ import pandas as pd
 from sklearn.ensemble import IsolationForest
 
 def clean_data(file):
+    # Baca dan format data
     df = pd.read_csv(file)
-    
-    # Konversi tanggal
     df['tanggal'] = pd.to_datetime(df['tanggal'])
+    df = df.sort_values('tanggal').reset_index(drop=True)
     
-    # Deteksi anomaly
-    clf = IsolationForest(contamination=0.05)
-    df['anomaly'] = clf.fit_predict(df[['demand', 'supply']])
+    # Deteksi anomali
+    clf = IsolationForest(contamination=0.05, random_state=42)
+    df['anomali'] = clf.fit_predict(df[['demand', 'supply']])
     
-    return df[df['anomaly'] == 1].drop('anomaly', axis=1)
+    return df[df['anomali'] == 1].drop('anomali', axis=1)