diff --git a/scripts/bigquery_cleaned_layer.py b/scripts/bigquery_cleaned_layer.py
index 8754ad9..cef3d9f 100644
--- a/scripts/bigquery_cleaned_layer.py
+++ b/scripts/bigquery_cleaned_layer.py
@@ -296,21 +296,22 @@ def assign_direction(indicator_name: str) -> str:
 # FRAMEWORK CLASSIFICATION (MDGs vs SDGs)
 # =============================================================================
 
-# Daftar keyword eksplisit dari SDG Goal 2 Khusus FIES(2030 Agenda for Sustainable Development)
+# Daftar keyword eksplisit dari SDG Goal 2 Khusus FIES (2030 Agenda for Sustainable Development).
+# Disimpan lowercase agar matching tidak sensitif terhadap kapitalisasi input.
 
 SDG_INDICATOR_KEYWORDS = frozenset([
-    "Prevalence of severe food insecurity in the total population (percent) (3-year average)",
-    "Prevalence of severe food insecurity in the male adult population (percent) (3-year average)",
-    "Prevalence of severe food insecurity in the female adult population (percent) (3-year average)",
-    "Prevalence of moderate or severe food insecurity in the total population (percent) (3-year average)",
-    "Prevalence of moderate or severe food insecurity in the male adult population (percent) (3-year average)",
-    "Prevalence of moderate or severe food insecurity in the female adult population (percent) (3-year average)",
-    "Number of severely food insecure people (million) (3-year average)",
-    "Number of severely food insecure male adults (million) (3-year average)",
-    "Number of severely food insecure female adults (million) (3-year average)",
-    "Number of moderately or severely food insecure people (million) (3-year average)",
-    "Number of moderately or severely food insecure male adults (million) (3-year average)",
-    "Number of moderately or severely food insecure female adults (million) (3-year average)"
+    "prevalence of severe food insecurity in the total population (percent) (3-year average)",
+    "prevalence of severe food insecurity in the male adult population (percent) (3-year average)",
+    "prevalence of severe food insecurity in the female adult population (percent) (3-year average)",
+    "prevalence of moderate or severe food insecurity in the total population (percent) (3-year average)",
+    "prevalence of moderate or severe food insecurity in the male adult population (percent) (3-year average)",
+    "prevalence of moderate or severe food insecurity in the female adult population (percent) (3-year average)",
+    "number of severely food insecure people (million) (3-year average)",
+    "number of severely food insecure male adults (million) (3-year average)",
+    "number of severely food insecure female adults (million) (3-year average)",
+    "number of moderately or severely food insecure people (million) (3-year average)",
+    "number of moderately or severely food insecure male adults (million) (3-year average)",
+    "number of moderately or severely food insecure female adults (million) (3-year average)",
 ])
 
 
@@ -320,19 +321,30 @@ def assign_framework(indicator_name: str) -> str:
     dari 2030 Agenda for Sustainable Development (versi Maret 2020).
 
     Logika:
-    - Cek apakah nama indikator mengandung keyword SDG yang terdaftar
+    - Lowercase nama indikator input
+    - Cek apakah ada keyword SDG (lowercase) yang terkandung di dalam nama indikator
     - Jika ya  -> 'SDGs'
     - Jika tidak -> 'MDGs' (indikator FAO/lama yang bukan SDG resmi)
 
+    FIX: Bug sebelumnya menggunakan `kw in ind` (cek apakah keyword ada di dalam ind),
+    padahal seharusnya `kw in ind` sudah benar secara logika — tapi keyword di-set
+    dengan kapitalisasi campuran sementara `ind` sudah di-lowercase, sehingga
+    perbandingan selalu gagal. Solusi: simpan keyword dalam lowercase di set,
+    sehingga `kw in ind` bekerja dengan benar.
+
     Return values: 'MDGs' atau 'SDGs'
     Panjang max 4 chars (dalam constraint varchar(5)).
     """
     if pd.isna(indicator_name):
         return 'MDGs'
+
+    # Lowercase input agar matching tidak sensitif terhadap kapitalisasi
     ind = str(indicator_name).lower().strip()
-    for kw in SDG_INDICATOR_KEYWORDS:
-        if kw in ind:
-            return 'SDGs'
+
+    # Cek apakah salah satu keyword SDG (sudah lowercase) ada di dalam ind
+    if any(kw in ind for kw in SDG_INDICATOR_KEYWORDS):
+        return 'SDGs'
+
     return 'MDGs'