diff --git a/gokart/file_processor.py b/gokart/file_processor.py
index 72c9fb1b..218d0dfa 100644
--- a/gokart/file_processor.py
+++ b/gokart/file_processor.py
@@ -269,6 +269,7 @@ def dump(self, obj, file):
 def make_file_processor(file_path: str, store_index_in_feather: bool) -> FileProcessor:
     extension2processor = {
         '.txt': TextFileProcessor(),
+        '.ini': TextFileProcessor(),
         '.csv': CsvFileProcessor(sep=','),
         '.tsv': CsvFileProcessor(sep='\t'),
         '.pkl': PickleFileProcessor(),
@@ -280,7 +281,6 @@ def make_file_processor(file_path: str, store_index_in_feather: bool) -> FilePro
         '.feather': FeatherFileProcessor(store_index_in_feather=store_index_in_feather),
         '.png': BinaryFileProcessor(),
         '.jpg': BinaryFileProcessor(),
-        '.ini': TextFileProcessor(),
     }
 
     extension = os.path.splitext(file_path)[1]
diff --git a/test/test_target.py b/test/test_target.py
index 6dca4731..781eb0cf 100644
--- a/test/test_target.py
+++ b/test/test_target.py
@@ -8,7 +8,6 @@
 import boto3
 import numpy as np
 import pandas as pd
-from luigi.configuration.cfg_parser import LuigiConfigParser
 from matplotlib import pyplot
 from moto import mock_s3
 
@@ -128,19 +127,6 @@ def test_save_and_load_feather_without_store_index_in_feather(self):
 
         pd.testing.assert_frame_equal(loaded, obj)
 
-    def test_save_and_load_config_ini_file(self):
-        obj = LuigiConfigParser()
-        obj['common'] = {'a': '1', 'b': 'yes', 'c': 2}
-        obj['example'] = {}
-        obj['example']['d'] = 'foo'
-        obj['example']['e'] = 'true'
-        file_path = os.path.join(_get_temporary_directory(), 'test.ini')
-
-        target = make_target(file_path=file_path, unique_id=None)
-        target.dump(obj)
-        loaded = target.load()
-        self.assertEqual(loaded, [str(obj)], msg='should save an object as List[str].')
-
     def test_last_modified_time(self):
         obj = pd.DataFrame(dict(a=[1, 2], b=[3, 4]))
         file_path = os.path.join(_get_temporary_directory(), 'test.csv')