diff --git a/Fitur_Ekstraksi_BOW_(wildanul_jannah).ipynb b/Fitur_Ekstraksi_BOW_(wildanul_jannah).ipynb
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+++ b/Fitur_Ekstraksi_BOW_(wildanul_jannah).ipynb
@@ -0,0 +1,786 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "metadata": {
+        "id": "vY2aVoMNVWho",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 106
+        },
+        "outputId": "e457b721-8441-4e02-a4c4-9eb0665de961"
+      },
+      "outputs": [
+        {
+          "output_type": "error",
+          "ename": "SyntaxError",
+          "evalue": "unterminated string literal (detected at line 344) (ipython-input-4182680070.py, line 344)",
+          "traceback": [
+            "\u001b[0;36m  File \u001b[0;32m\"/tmp/ipython-input-4182680070.py\"\u001b[0;36m, line \u001b[0;32m344\u001b[0m\n\u001b[0;31m    \" 'wildanul jannah melakukan' ,]\\\"n\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unterminated string literal (detected at line 344)\n"
+          ]
+        }
+      ],
+      "source": [
+        "{\n",
+        " \"cells\": [\n",
+        "  {\n",
+        "   \"cell_type\": \"markdown\",\n",
+        "   \"metadata\": {},\n",
+        "   \"source\": [\n",
+        "    \"# Fitur Ekstraksi Bag-of-Words (BOW)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"**Nama:** Wildanul Jannah  \\n\",\n",
+        "    \"**NIM:** **202210715061** \\n\",\n",
+        "    \"**Kelas:** F7B2 \\n\",\n",
+        "    \"**MK:** NLP  \\n\",\n",
+        "    \"\\n\",\n",
+        "    \"**Tujuan praktikum:**  \\n\",\n",
+        "    \"Melakukan ekstraksi fitur teks menggunakan Bag-of-Words dengan variasi parameter, yaitu:  \\n\",\n",
+        "    \"- Mengubah contoh teks  \\n\",\n",
+        "    \"- Mengubah jumlah fitur (`max_features`)  \\n\",\n",
+        "    \"- Menggunakan rentang n-gram baru (`ngram_range = (1,3)`)  \\n\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 6,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdin\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"Masukkan jumlah dokumen yang ingin dimasukkan:  3\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# Input jumlah dokumen\\n\",\n",
+        "    \"n = int(input(\\\"Masukkan jumlah dokumen yang ingin dimasukkan: \\\"))\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 7,\n",
+        "   \"metadata\": {\n",
+        "    \"colab\": {\n",
+        "     \"base_uri\": \"https://localhost:8080/\"\n",
+        "    },\n",
+        "    \"id\": \"mo-yt5Ob1N8j\",\n",
+        "    \"outputId\": \"362ac3e0-d84b-4014-db96-cc3b10ecdb32\"\n",
+        "   },\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdin\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"Masukkan teks untuk dokumen ke-1:  Saya Wildanul Jannah, mahasiswa informatika yang sedang mempelajari dasar pemrosesan bahasa alami\\n\",\n",
+        "      \"Masukkan teks untuk dokumen ke-2:  Wildanul Jannah melakukan analisis teks menggunakan metode Bag of Words untuk mengubah kata menjadi data numerik\\n\"\n",
+        "      \"Masukkan teks untuk dokumen ke-3:  Dalam percobaan ini Wildanul Jannah mengamati kemunculan kata untuk memahami representasi fitur teks\\n\",\n",
+        "      ]\n",
+        "\n",
+        "    },\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Dokumen yang Dimasukkan ===\\n\",\n",
+        "      \"Doc 1: Saya Wildanul Jannah, mahasiswa informatika yang sedang mempelajari dasar pemrosesan bahasa alami\\n\",\n",
+        "      \"Doc 2: Wildanul Jannah melakukan analisis teks menggunakan metode Bag of Words untuk mengubah kata menjadi data numerik\\n\",\n",
+        "      \"Doc 3: Dalam percobaan ini Wildanul Jannah mengamati kemunculan kata untuk memahami representasi fitur teks\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# Input teks dokumen satu per satu\\n\",\n",
+        "    \"documents = []\\n\",\n",
+        "    \"for i in range(n):\\n\",\n",
+        "    \"    teks = input(f\\\"Masukkan teks untuk dokumen ke-{i+1}: \\\")\\n\",\n",
+        "    \"    documents.append(teks)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Dokumen yang Dimasukkan ===\\\")\\n\",\n",
+        "    \"for i, doc in enumerate(documents):\\n\",\n",
+        "    \"    print(f\\\"Doc {i+1}: {doc}\\\")\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 8,\n",
+        "   \"metadata\": {\n",
+        "    \"colab\": {\n",
+        "     \"base_uri\": \"https://localhost:8080/\"\n",
+        "    },\n",
+        "    \"id\": \"FkmxRAFq1oDK\",\n",
+        "    \"outputId\": \"62c4508e-1725-4f30-fbdb-4de8072498b2\"\n",
+        "   },\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Hasil Tokenisasi ===\\n\",\n",
+        "\"Doc 1: ['saya', 'wildanul', 'jannah,', 'mahasiswa', 'informatika', 'yang', 'sedang', 'mempelajari', 'nlp', 'dan', 'machine', 'learning']\\n\",\n",
+        "\"Doc 2: ['wildanul', 'jannah', 'melakukan', 'eksperimen', 'bag-of-words', 'untuk', 'melihat', 'bagaimana', 'fitur', 'teks', 'direpresentasikan', 'sebagai', 'angka']\\n\",\n",
+        "\"Doc 3: ['pada', 'tahap', 'ini', 'wildanul', 'jannah', 'menggunakan', 'n-gram', 'untuk', 'menguji', 'kombinasi', 'kata', 'yang', 'sering', 'muncul', 'bersama']\\n\",\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# Tahap Tokenisasi\\n\",\n",
+        "    \"tokenized_docs = []\\n\",\n",
+        "    \"for doc in documents:\\n\",\n",
+        "    \"    tokens = doc.lower().split()\\n\",\n",
+        "    \"    tokenized_docs.append(tokens)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Hasil Tokenisasi ===\\\")\\n\",\n",
+        "    \"for i, tokens in enumerate(tokenized_docs):\\n\",\n",
+        "    \"    print(f\\\"Doc {i+1}: {tokens}\\\")\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 9,\n",
+        "   \"metadata\": {\n",
+        "    \"colab\": {\n",
+        "     \"base_uri\": \"https://localhost:8080/\"\n",
+        "    },\n",
+        "    \"id\": \"ybC1Vo2C_c3q\",\n",
+        "    \"outputId\": \"fa31c57e-5364-4ded-fcd0-54d0db46c34b\"\n",
+        "   },\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Corpus Keseluruhan (Semua Kata dari Semua Dokumen) ===\\n\",\n",
+        "      \"['saya', 'wildanul', 'jannah,', 'mahasiswa', 'informatika', 'yang', 'sedang', 'mempelajari', 'nlp', 'dan', 'machine', 'learning', 'wildanul', 'jannah', 'melakukan', 'eksperimen', 'bag-of-words', 'untuk', 'melihat', 'bagaimana', 'fitur', 'teks', 'direpresentasikan', 'sebagai', 'angka','pada', 'tahap', 'ini', 'wildanul', 'jannah', 'menggunakan', 'n-gram', 'untuk', 'menguji', 'kombinasi', 'kata', 'yang', 'sering', 'muncul', 'bersama']\\n\",\n",
+        "      \"Jumlah total kata dalam seluruh dokumen: 39\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# Pembuatan Corpus\\n\",\n",
+        "    \"corpus_all = [word for doc in tokenized_docs for word in doc]\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Corpus Keseluruhan (Semua Kata dari Semua Dokumen) ===\\\")\\n\",\n",
+        "    \"print(corpus_all)\\n\",\n",
+        "    \"print(f\\\"Jumlah total kata dalam seluruh dokumen: {len(corpus_all)}\\\")\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 10,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Hasil BOW Manual (Frekuensi Kata) ===\\n\"\n",
+        "     ]\n",
+        "    },\n",
+        "    {\n",
+        "     \"data\": {\n",
+        "      \"text/plain\": [\n",
+        "       {\n",
+        " \" 'wildanul': 3,\\n\",\n",
+        " \" 'jannah': 3,\\n\",\n",
+        " \" 'yang': 2,\\n\",\n",
+        " \" 'untuk': 2,\\n\",\n",
+        " \" 'saya': 1,\\n\",\n",
+        " \" 'mahasiswa': 1,\\n\",\n",
+        " \" 'informatika': 1,\\n\",\n",
+        " \" 'sedang': 1,\\n\",\n",
+        " \" 'mempelajari': 1,\\n\",\n",
+        " \" 'nlp': 1,\\n\",\n",
+        " \" 'dan': 1,\\n\",\n",
+        " \" 'machine': 1,\\n\",\n",
+        " \" 'learning': 1,\\n\",\n",
+        " \" 'melakukan': 1,\\n\",\n",
+        " \" 'eksperimen': 1,\\n\",\n",
+        " \" 'bag-of-words': 1,\\n\",\n",
+        " \" 'melihat': 1,\\n\",\n",
+        " \" 'bagaimana': 1,\\n\",\n",
+        " \" 'fitur': 1,\\n\",\n",
+        " \" 'teks': 1,\\n\",\n",
+        " \" 'direpresentasikan': 1,\\n\",\n",
+        " \" 'sebagai': 1,\\n\",\n",
+        " \" 'angka': 1,\\n\",\n",
+        " \" 'pada': 1,\\n\",\n",
+        " \" 'tahap': 1,\\n\",\n",
+        " \" 'ini': 1,\\n\",\n",
+        " \" 'menggunakan': 1,\\n\",\n",
+        " \" 'n-gram': 1,\\n\",\n",
+        " \" 'menguji': 1,\\n\",\n",
+        " \" 'kombinasi': 1,\\n\",\n",
+        " \" 'kata': 1,\\n\",\n",
+        " \" 'sering': 1,\\n\",\n",
+        " \" 'muncul': 1,\\n\",\n",
+        " \" 'bersama': 1\\n\",\n",
+        "}\n",
+        "      ]\n",
+        "     },\n",
+        "     \"execution_count\": 10,\n",
+        "     \"metadata\": {},\n",
+        "     \"output_type\": \"execute_result\"\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# 4) Membuat Bag-of-Words manual (frekuensi kata)\\n\",\n",
+        "    \"bow_manual = {}\\n\",\n",
+        "    \"for tokens in tokenized_docs:\\n\",\n",
+        "    \"    for token in tokens:\\n\",\n",
+        "    \"        bow_manual[token] = bow_manual.get(token, 0) + 1\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Hasil BOW Manual (Frekuensi Kata) ===\\\")\\n\",\n",
+        "    \"# Tampilkan dictionary secara sorted by frequency (desc)\\n\",\n",
+        "    \"bow_sorted = dict(sorted(bow_manual.items(), key=lambda x: x[1], reverse=True))\\n\",\n",
+        "    \"bow_sorted\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 12,\n",
+        "   \"metadata\": {\n",
+        "    \"colab\": {\n",
+        "     \"base_uri\": \"https://localhost:8080/\"\n",
+        "    },\n",
+        "    \"id\": \"s6S-Ma4R1xuq\",\n",
+        "    \"outputId\": \"98c3685b-1798-4038-d17e-6e45ca419b51\"\n",
+        "   },\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Vocabulary (Kata Unik) ===\\n\",\n",
+        "      \"['angka', 'bag-of-words', 'bagaimana', 'bersama', 'dan', 'direpresentasikan','eksperimen', 'fitur', 'informatika', 'ini', 'jannah', 'jannah,', 'kata','kombinasi', 'learning', 'machine', 'mahasiswa', 'melakukan', 'melihat','mempelajari', 'menggunakan', 'menguji', 'muncul', 'n-gram', 'nlp', 'pada', 'saya', 'sebagai', 'sedang', 'sering', 'tahap', 'teks', 'untuk', 'wildanul','yang']\\n\",\n",
+        "      \"Jumlah kata unik (vocabulary size): 35\\n\",\n",
+        "      \"\\n\",\n",
+        "      \"=== Vocabulary (Kata Unik) ===\\n\",\n",
+        "      \" 1. angka\\n\",\n",
+        "      \" 2. bag-of-words\\n\",\n",
+        "      \" 3. bagaimana\\n\",\n",
+        "      \" 4. bersama\\n\",\n",
+        "      \" 5. dan\\n\",\n",
+        "      \" 6. direpresentasikan\\n\",\n",
+        "      \" 7. eksperimen\\n\",\n",
+        "      \" 8. fitur\\n\",\n",
+        "      \" 9. informatika\\n\",\n",
+        "      \"10. ini\\n\",\n",
+        "      \"11. jannah\\n\",\n",
+        "      \"12. jannah\\n\",\n",
+        "      \"13. kata\\n\",\n",
+        "      \"14. kombinasi\\n\",\n",
+        "      \"15. learning\\n\",\n",
+        "      \"16. machine\\n\",\n",
+        "      \"17. melakukan\\n\",\n",
+        "      \"18. melihat\\n\",\n",
+        "      \"19. mempelajari\\n\",\n",
+        "      \"20. menggunakan\\n\",\n",
+        "      \"21. menguji\\n\",\n",
+        "      \"22. muncul\\n\",\n",
+        "      \"23. n-gram\\n\",\n",
+        "      \"24. nlp\\n\",\n",
+        "      \"25. pada\\n\",\n",
+        "      \"26. saya\\n\",\n",
+        "      \"27. sebagai\\n\",\n",
+        "      \"28. sedang\\n\",\n",
+        "      \"29. sering\\n\",\n",
+        "      \"30. tahap\\n\",\n",
+        "      \"31. texs\\n\",\n",
+        "      \"32. untuk\\n\",\n",
+        "      \"33. wildanul\\n\",\n",
+        "      \"34. untuk\\n\",\n",
+        "      \"35. yang\\n\",\n",
+        "      \"\\n\",\n",
+        "      \"Jumlah kata unik (vocabulary size): 35\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# Pembuatan Vocabulary\\n\",\n",
+        "    \"vocabulary = sorted(set(corpus_all))\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Vocabulary (Kata Unik) ===\\\")\\n\",\n",
+        "    \"print(vocabulary)\\n\",\n",
+        "    \"print(f\\\"Jumlah kata unik (vocabulary size): {len(vocabulary)}\\\")\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"vocabulary = sorted(set(corpus_all))\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Vocabulary (Kata Unik) ===\\\")\\n\",\n",
+        "    \"for idx, word in enumerate(vocabulary, start=1):\\n\",\n",
+        "    \"    print(f\\\"{idx:>2}. {word}\\\")\\n\",\n",
+        "    \"print(f\\\"\\\\nJumlah kata unik (vocabulary size): {len(vocabulary)}\\\")\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 13,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"Jumlah dokumen: 3\\n\",\n",
+        "      \"Jumlah tokenized_docs: 3\\n\",\n",
+        "      \"Jumlah kata di vocabulary (unique): 35\\n\",\n",
+        "      \"Contoh 10 kata pertama vocabulary: ['angka', 'bag-of-words', 'bagaimana', 'bersama', 'dan', 'direpresentasikan', 'eksperimen', 'fitur', 'informatika', 'ini']\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"print(\\\"Jumlah dokumen:\\\", len(documents))\\n\",\n",
+        "    \"print(\\\"Jumlah tokenized_docs:\\\", len(tokenized_docs))\\n\",\n",
+        "    \"print(\\\"Jumlah kata di vocabulary (unique):\\\", len(vocabulary))\\n\",\n",
+        "    \"print(\\\"Contoh 10 kata pertama vocabulary:\\\", vocabulary[:10])\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 11,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"=== Info CountVectorizer ===\\n\",\n",
+        "      \"n-gram range: (1, 3)\\n\",\n",
+        "      \"max_features: 500\\n\",\n",
+        "      \"Jumlah fitur (vocabulary size): 110\\n\",\n",
+        "      \"\\n\",\n",
+        "      \"nContoh 20 fitur pertama:\\n\",\n",
+        "      \"['angka' 'bag' 'bag of' 'bag of words' 'bagaimana' 'bagaimana fitur'\\n\",\n",
+        " \" 'bagaimana fitur teks' 'bersama' 'dan' 'dan machine'\\n\",\n",
+        " \" 'dan machine learning' 'direpresentasikan' 'direpresentasikan sebagai'\\n\",\n",
+        " \" 'direpresentasikan sebagai angka' 'eksperimen' 'eksperimen bag'\\n\",\n",
+        " \" 'eksperimen bag of' 'wildanul' 'wildanul jannah'\\n\",\n",
+        " \" 'wildanul jannah melakukan' ,]\\\"n\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# BOW modern: CountVectorizer dengan n-gram dan max_features \\n\",\n",
+        "    \"from sklearn.feature_extraction.text import CountVectorizer\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"# Ubah di sini bila mau nilai lain:\\n\",\n",
+        "    \"NGRAM_RANGE = (1, 3)     # ubah n-gram (contoh: (1,2) atau (1,4))\\n\",\n",
+        "    \"MAX_FEATURES = 500       # ubah jumlah fitur (contoh: 200, 1000)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"vectorizer = CountVectorizer(ngram_range=NGRAM_RANGE, max_features=MAX_FEATURES)\\n\",\n",
+        "    \"X = vectorizer.fit_transform(documents)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"print(\\\"\\\\n=== Info CountVectorizer ===\\\")\\n\",\n",
+        "    \"print(\\\"n-gram range:\\\", NGRAM_RANGE)\\n\",\n",
+        "    \"print(\\\"max_features:\\\", MAX_FEATURES)\\n\",\n",
+        "    \"print(\\\"Jumlah fitur (vocabulary size):\\\", len(vectorizer.vocabulary_))\\n\",\n",
+        "    \"print(\\\"\\\\nContoh 20 fitur pertama:\\\")\\n\",\n",
+        "    \"print(vectorizer.get_feature_names_out()[:20])\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 12,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"data\": {\n",
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+        "       \"        vertical-align: top;\\n\",\n",
+        "       \"    }\\n\",\n",
+        "       \"\\n\",\n",
+        "       \"    .dataframe thead th {\\n\",\n",
+        "       \"        text-align: right;\\n\",\n",
+        "       \"    }\\n\",\n",
+        "       \"</style>\\n\",\n",
+        "       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n",
+        "       \"  <thead>\\n\",\n",
+        "       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n",
+        "       \"      <th></th>\\n\",\n",
+        "       \"      <th>angka</th>\\n\",\n",
+        "       \"      <th>bag</th>\\n\",\n",
+        "       \"      <th>bag of</th>\\n\",\n",
+        "       \"      <th>bag of words</th>\\n\",\n",
+        "       \"      <th>bagaimana</th>\\n\",\n",
+        "       \"      <th>bagaimana fitur</th>\\n\",\n",
+        "       \"      <th>bagaimana fitur teks</th>\\n\",\n",
+        "       \"      <th>bersama</th>\\n\",\n",
+        "       \"      <th>dan</th>\\n\",\n",
+        "       \"      <th>dan machine</th>\\n\",\n",
+        "       \"      <th>...</th>\\n\",\n",
+        "       \"      <th>untuk menguji</th>\\n\",\n",
+        "       \"      <th>untuk menguji kombinasi</th>\\n\",\n",
+        "       \"      <th>words</th>\\n\",\n",
+        "       \"      <th>words untuk</th>\\n\",\n",
+        "       \"      <th>words untuk melihat</th>\\n\",\n",
+        "       \"      <th>yang</th>\\n\",\n",
+        "       \"      <th>yang sedang</th>\\n\",\n",
+        "       \"      <th>yang sedang mempelajari</th>\\n\",\n",
+        "       \"      <th>yang sering</th>\\n\",\n",
+        "       \"      <th>yang sering muncul</th>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"  </thead>\\n\",\n",
+        "       \"  <tbody>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>0</th>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>1</th>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>2</th>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"  </tbody>\\n\",\n",
+        "       \"</table>\\n\",\n",
+        "       \"<p>3 rows × 110 columns</p>\\n\",\n",
+        "       \"</div>\"\n",
+        "      ],\n",
+        "      \"text/plain\": [\n",
+        "       \"   angka  bag  bag of  bag of words  bagaimana  bagaimana fitur  \\\\\\n\",\n",
+        "       \"0      0    0       0             0          0                0   \\n\",\n",
+        "       \"1      1    1       1             1          1                1   \\n\",\n",
+        "       \"2      0    0       0             0          0                0   \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"   bagaimana fitur teks  bersama  dan  dan machine  ...  untuk menguji  \\\\\\n\",\n",
+        "       \"0                     0        0    1            1  ...              0   \\n\",\n",
+        "       \"1                     1        0    0            0  ...              0   \\n\",\n",
+        "       \"2                     0        1    0            0  ...              1   \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"   untuk menguji kombinasi  words  words untuk  words untuk melihat  yang  \\\\\\n\",\n",
+        "       \"0                        0      0            0                    0     1   \\n\",\n",
+        "       \"1                        0      1            1                    1     0   \\n\",\n",
+        "       \"2                        1      0            0                    0     1   \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"   yang sedang  yang sedang mempelajari  yang sering  yang sering muncul  \\n\",\n",
+        "       \"0            1                        1            0                   0  \\n\",\n",
+        "       \"1            0                        0            0                   0  \\n\",\n",
+        "       \"2            0                        0            1                   1  \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"[3 rows x 110 columns]\"\n",
+        "      ]\n",
+        "     },\n",
+        "     \"metadata\": {},\n",
+        "     \"output_type\": \"display_data\"\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"# 6) Konversi hasil ke DataFrame\\n\",\n",
+        "    \"import pandas as pd\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"df_features = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())\\n\",\n",
+        "    \"display(df_features)   # di Jupyter ini akan tampil tabel\\n\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 13,\n",
+        "   \"metadata\": {\n",
+        "    \"id\": \"ShevCTva2Fg9\"\n",
+        "   },\n",
+        "   \"outputs\": [],\n",
+        "   \"source\": [\n",
+        "    \"# Representasi Numerik (Matriks BoW)\\n\",\n",
+        "    \"bow_matrix = []\\n\",\n",
+        "    \"for doc in tokenized_docs:\\n\",\n",
+        "    \"    vector = [doc.count(word) for word in vocabulary]\\n\",\n",
+        "    \"    bow_matrix.append(vector)\"\n",
+        "   ]\n",
+        "  },\n",
+        "  {\n",
+        "   \"cell_type\": \"code\",\n",
+        "   \"execution_count\": 14,\n",
+        "   \"metadata\": {},\n",
+        "   \"outputs\": [\n",
+        "    {\n",
+        "     \"data\": {\n",
+        "      \"text/html\": [\n",
+        "       \"<div>\\n\",\n",
+        "       \"<style scoped>\\n\",\n",
+        "       \"    .dataframe tbody tr th:only-of-type {\\n\",\n",
+        "       \"        vertical-align: middle;\\n\",\n",
+        "       \"    }\\n\",\n",
+        "       \"\\n\",\n",
+        "       \"    .dataframe tbody tr th {\\n\",\n",
+        "       \"        vertical-align: top;\\n\",\n",
+        "       \"    }\\n\",\n",
+        "       \"\\n\",\n",
+        "       \"    .dataframe thead th {\\n\",\n",
+        "       \"        text-align: right;\\n\",\n",
+        "       \"    }\\n\",\n",
+        "       \"</style>\\n\",\n",
+        "       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n",
+        "       \"  <thead>\\n\",\n",
+        "       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n",
+        "       \"      <th></th>\\n\",\n",
+        "       \"      <th>angka</th>\\n\",\n",
+        "       \"      <th>bag-of-words</th>\\n\",\n",
+        "       \"      <th>bagaimana</th>\\n\",\n",
+        "       \"      <th>bersama</th>\\n\",\n",
+        "       \"      <th>dan</th>\\n\",\n",
+        "       \"      <th>direpresentasikan</th>\\n\",\n",
+        "       \"      <th>eksperimen</th>\\n\",\n",
+        "       \"      <th>wilda</th>\\n\",\n",
+        "       \"      <th>fitur</th>\\n\",\n",
+        "       \"      <th>informatika</th>\\n\",\n",
+        "       \"      <th>...</th>\\n\",\n",
+        "       \"      <th>jannah,</th>\\n\",\n",
+        "       \"      <th>jannah</th>\\n\",\n",
+        "       \"      <th>saya</th>\\n\",\n",
+        "       \"      <th>sebagai</th>\\n\",\n",
+        "       \"      <th>sedang</th>\\n\",\n",
+        "       \"      <th>sering</th>\\n\",\n",
+        "       \"      <th>tahap</th>\\n\",\n",
+        "       \"      <th>teks</th>\\n\",\n",
+        "       \"      <th>untuk</th>\\n\",\n",
+        "       \"      <th>yang</th>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"  </thead>\\n\",\n",
+        "       \"  <tbody>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>0</th>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>1</th>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"    <tr>\\n\",\n",
+        "       \"      <th>2</th>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>...</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>0</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"      <td>1</td>\\n\",\n",
+        "       \"    </tr>\\n\",\n",
+        "       \"  </tbody>\\n\",\n",
+        "       \"</table>\\n\",\n",
+        "       \"<p>3 rows × 35 columns</p>\\n\",\n",
+        "       \"</div>\"\n",
+        "      ],\n",
+        "      \"text/plain\": [\n",
+        "       \"   angka  bag-of-words  bagaimana  bersama  dan  direpresentasikan  \\\\\\n\",\n",
+        "       \"0      0             0          0        0    1                  0   \\n\",\n",
+        "       \"1      1             1          1        0    0                  1   \\n\",\n",
+        "       \"2      0             0          0        1    0                  0   \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"   eksperimen  fatah  fitur  informatika  ...  saya,  jannah  saya  sebagai  \\\\\\n\",\n",
+        "       \"0           0      1      0            1  ...        1       1     1        0   \\n\",\n",
+        "       \"1           1      1      1            0  ...        0       0     0        1   \\n\",\n",
+        "       \"2           0      1      0            0  ...        0       0     0        0   \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"   sedang  sering  tahap  teks  untuk  yang  \\n\",\n",
+        "       \"0       1       0      0     0      0     1  \\n\",\n",
+        "       \"1       0       0      0     1      1     0  \\n\",\n",
+        "       \"2       0       1      1     0      1     1  \\n\",\n",
+        "       \"\\n\",\n",
+        "       \"[3 rows x 35 columns]\"\n",
+        "      ]\n",
+        "     },\n",
+        "     \"metadata\": {},\n",
+        "     \"output_type\": \"display_data\"\n",
+        "    },\n",
+        "    {\n",
+        "     \"name\": \"stdout\",\n",
+        "     \"output_type\": \"stream\",\n",
+        "     \"text\": [\n",
+        "      \"\\n\",\n",
+        "      \"Shape (dokumen x fitur): (3, 35)\\n\"\n",
+        "     ]\n",
+        "    }\n",
+        "   ],\n",
+        "   \"source\": [\n",
+        "    \"import pandas as pd\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"# Buat matrix manual berdasarkan vocabulary yang sudah kamu buat\\n\",\n",
+        "    \"bow_matrix = []\\n\",\n",
+        "    \"for tokens in tokenized_docs:\\n\",\n",
+        "    \"    # hitung frekuensi tiap kata pada vocabulary pada dokumen ini\\n\",\n",
+        "    \"    vector = [tokens.count(word) for word in vocabulary]   # tokens adalah list kata\\n\",\n",
+        "    \"    bow_matrix.append(vector)\\n\",\n",
+        "    \"\\n\",\n",
+        "    \"# Konversi ke DataFrame agar rapi saat ditampilkan\\n\",\n",
+        "    \"df_bow_manual = pd.DataFrame(bow_matrix, columns=vocabulary)\\n\",\n",
+        "    \"display(df_bow_manual)   # di Jupyter ini akan tampil tabel\\n\",\n",
+        "    \"print(\\\"\\\\nShape (dokumen x fitur):\\\", df_bow_manual.shape)\\n\"\n",
+        "   ]\n",
+        "  }\n",
+        " ],\n",
+        " \"metadata\": {\n",
+        "  \"colab\": {\n",
+        "   \"provenance\": []\n",
+        "  },\n",
+        "  \"kernelspec\": {\n",
+        "   \"display_name\": \"Python 3 (ipykernel)\",\n",
+        "   \"language\": \"python\",\n",
+        "   \"name\": \"python3\"\n",
+        "  },\n",
+        "  \"language_info\": {\n",
+        "   \"codemirror_mode\": {\n",
+        "    \"name\": \"ipython\",\n",
+        "    \"version\": 3\n",
+        "   },\n",
+        "   \"file_extension\": \".py\",\n",
+        "   \"mimetype\": \"text/x-python\",\n",
+        "   \"name\": \"python\",\n",
+        "   \"nbconvert_exporter\": \"python\",\n",
+        "   \"pygments_lexer\": \"ipython3\",\n",
+        "   \"version\": \"3.13.5\"\n",
+        "  }\n",
+        " },\n",
+        " \"nbformat\": 4,\n",
+        " \"nbformat_minor\": 4\n",
+        "}\n"
+      ]
+    }
+  ]
+}
\ No newline at end of file