From d16eabcfd830cd2174e0eaeaf5f87072af7a8a36 Mon Sep 17 00:00:00 2001
From: angelicatesvara07-crypto <angelicatesvara07@gmail.com>
Date: Mon, 2 Nov 2026 10:50:42 +0700
Subject: [PATCH] Initial commit

---
 buat_pdf.py                                   |  55 +++++++++++++
 cari.py                                       |  27 +++++++
 cek_pdf.py                                    |  12 +++
 .../data_level0.bin                           | Bin 0 -> 167600 bytes
 .../header.bin                                | Bin 0 -> 100 bytes
 .../length.bin                                | Bin 0 -> 400 bytes
 .../link_lists.bin                            |   0
 chroma_db/chroma.sqlite3                      | Bin 0 -> 212992 bytes
 dokumen/akademik.pdf                          |  74 ++++++++++++++++++
 dokumen/kemahasiswaan.pdf                     |  74 ++++++++++++++++++
 dokumen/keuangan.pdf                          |  74 ++++++++++++++++++
 evaluasi_retrieval.py                         |  36 +++++++++
 indeks.py                                     |  38 +++++++++
 lab1_chunking.py                              |  31 ++++++++
 14 files changed, 421 insertions(+)
 create mode 100644 buat_pdf.py
 create mode 100644 cari.py
 create mode 100644 cek_pdf.py
 create mode 100644 chroma_db/6f7bc640-f0f3-49c9-bb37-3e55ae6d9dcb/data_level0.bin
 create mode 100644 chroma_db/6f7bc640-f0f3-49c9-bb37-3e55ae6d9dcb/header.bin
 create mode 100644 chroma_db/6f7bc640-f0f3-49c9-bb37-3e55ae6d9dcb/length.bin
 create mode 100644 chroma_db/6f7bc640-f0f3-49c9-bb37-3e55ae6d9dcb/link_lists.bin
 create mode 100644 chroma_db/chroma.sqlite3
 create mode 100644 dokumen/akademik.pdf
 create mode 100644 dokumen/kemahasiswaan.pdf
 create mode 100644 dokumen/keuangan.pdf
 create mode 100644 evaluasi_retrieval.py
 create mode 100644 indeks.py
 create mode 100644 lab1_chunking.py

diff --git a/buat_pdf.py b/buat_pdf.py
new file mode 100644
index 0000000..0f54312
--- /dev/null
+++ b/buat_pdf.py
@@ -0,0 +1,55 @@
+
+from reportlab.lib.pagesizes import A4
+from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
+from reportlab.lib.styles import getSampleStyleSheet
+
+dokumen = [
+    {
+        "nama": "akademik.pdf",
+        "judul": "Panduan Akademik Mahasiswa",
+        "isi": [
+            ("Cuti Akademik", "Mahasiswa dapat mengajukan cuti akademik paling lama dua semester berturut-turut dengan persetujuan dekan. Permohonan cuti diajukan sebelum masa registrasi semester berjalan dimulai."),
+            ("Kehadiran", "Mahasiswa wajib mengikuti minimal 75 persen dari total pertemuan perkuliahan agar dapat mengikuti ujian akhir semester."),
+            ("Nilai", "Nilai D pada mata kuliah wajib dapat diperbaiki dengan mengulang mata kuliah tersebut pada semester berikutnya."),
+        ]
+    },
+    {
+        "nama": "keuangan.pdf",
+        "judul": "Panduan Administrasi Keuangan",
+        "isi": [
+            ("Pembayaran Kuliah", "Pembayaran biaya kuliah dilakukan paling lambat dua minggu sebelum perkuliahan dimulai melalui bagian keuangan universitas."),
+            ("Keterlambatan", "Mahasiswa yang terlambat melakukan pembayaran wajib menghubungi bagian administrasi keuangan untuk memperoleh informasi penyelesaian administrasi."),
+            ("Bukti Pembayaran", "Mahasiswa harus menyimpan bukti pembayaran sebagai dokumen administrasi selama masa studi."),
+        ]
+    },
+    {
+        "nama": "kemahasiswaan.pdf",
+        "judul": "Panduan Layanan Kemahasiswaan",
+        "isi": [
+            ("Beasiswa", "Mahasiswa dapat mengajukan beasiswa dengan memenuhi persyaratan akademik dan administratif yang ditentukan universitas."),
+            ("Organisasi", "Mahasiswa diperbolehkan mengikuti organisasi kemahasiswaan selama tidak mengganggu kewajiban akademik."),
+            ("Konsultasi Akademik", "Mahasiswa dapat berkonsultasi dengan dosen wali mengenai kesulitan belajar dan perencanaan mata kuliah."),
+        ]
+    }
+]
+
+styles = getSampleStyleSheet()
+
+for item in dokumen:
+    path = "dokumen/" + item["nama"]
+    pdf = SimpleDocTemplate(path, pagesize=A4)
+
+    konten = [
+        Paragraph(item["judul"], styles["Title"]),
+        Spacer(1, 20)
+    ]
+
+    for judul, isi in item["isi"]:
+        konten.append(Paragraph(judul, styles["Heading2"]))
+        konten.append(Paragraph(isi, styles["BodyText"]))
+        konten.append(Spacer(1, 15))
+
+    pdf.build(konten)
+    print("Berhasil membuat:", path)
+
+print("\nSemua PDF berhasil dibuat!")
diff --git a/cari.py b/cari.py
new file mode 100644
index 0000000..72f9169
--- /dev/null
+++ b/cari.py
@@ -0,0 +1,27 @@
+import chromadb
+from chromadb.utils import embedding_functions
+
+# Panggil model dan database yang sama
+emb = embedding_functions.SentenceTransformerEmbeddingFunction(
+    model_name="paraphrase-multilingual-MiniLM-L12-v2")
+client = chromadb.PersistentClient(path="./chroma_db")
+koleksi = client.get_or_create_collection("pedoman", embedding_function=emb)
+
+# Daftar pertanyaan uji
+daftar_pertanyaan = [
+    "Apa syarat cuti akademik?",
+    "Berapa batas kehadiran untuk ujian?",
+    "Bolehkah berhenti kuliah sementara?", # Pertanyaan parafrase (tanpa kata 'cuti')
+    "Apa sanksi jika telat bayar kuliah?"  # Pertanyaan parafrase (tanpa kata 'keuangan')
+]
+
+for q in daftar_pertanyaan:
+    print("=" * 60)
+    print("PERTANYAAN:", q)
+    # Ambil 2 hasil terdekat
+    hasil = koleksi.query(query_texts=[q], n_results=2)
+    
+    for doc, meta, jarak in zip(hasil["documents"][0], hasil["metadatas"][0], hasil["distances"][0]):
+        # Jarak (distance) semakin kecil berarti semakin mirip
+        print(f"  [Sumber: {meta['sumber']} | Jarak: {jarak:.3f}]")
+        print("  Teks:", doc[:120].replace("\n", " "), "...")
\ No newline at end of file
diff --git a/cek_pdf.py b/cek_pdf.py
new file mode 100644
index 0000000..51ad6b4
--- /dev/null
+++ b/cek_pdf.py
@@ -0,0 +1,12 @@
+from pathlib import Path
+from pypdf import PdfReader
+
+for pdf in Path("dokumen").glob("*.pdf"):
+    r = PdfReader(pdf)
+    teks = "\n".join((p.extract_text() or "") for p in r.pages)
+    print("=" * 50)
+    print("File   :", pdf.name)
+    print("Halaman:", len(r.pages))
+    print("Panjang teks:", len(teks))
+    print("500 karakter pertama:")
+    print(teks[:500])
\ No newline at end of file
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diff --git a/evaluasi_retrieval.py b/evaluasi_retrieval.py
new file mode 100644
index 0000000..ac09f35
--- /dev/null
+++ b/evaluasi_retrieval.py
@@ -0,0 +1,36 @@
+import chromadb
+from chromadb.utils import embedding_functions
+
+# Panggil DB dan Model
+emb = embedding_functions.SentenceTransformerEmbeddingFunction(
+    model_name="paraphrase-multilingual-MiniLM-L12-v2")
+client = chromadb.PersistentClient(path="./chroma_db")
+koleksi = client.get_or_create_collection("pedoman", embedding_function=emb)
+
+# Daftar (Pertanyaan, Kata Kunci Jawaban yang HARUS ada di chunk)
+UJI = [
+    ("Apa syarat cuti akademik?", "cuti akademik"),
+    ("Berapa lama cuti akademik bisa diajukan?", "dua semester"),
+    ("Berapa batas kehadiran untuk ujian?", "75 persen"),
+    ("Bolehkah berhenti kuliah sementara?", "cuti akademik"),
+    ("Bagaimana cara mengajukan beasiswa?", "beasiswa"),
+    ("Apa sanksi jika telat bayar kuliah?", "terlambat melakukan pembayaran"),
+    ("Kapan batas pembayaran biaya kuliah?", "dua minggu sebelum"),
+    ("Apa yang harus disimpan setelah bayar?", "bukti pembayaran")
+]
+
+def hit_at_k(uji, k=3):
+    benar = 0
+    for pertanyaan, kunci in uji:
+        # Ambil k hasil teratas
+        hasil = koleksi.query(query_texts=[pertanyaan], n_results=k)["documents"][0]
+        # Cek apakah kunci ada di salah satu hasil
+        if any(kunci.lower() in d.lower() for d in hasil):
+            benar += 1
+    return benar / len(uji)
+
+print(f"Total pertanyaan uji: {len(UJI)}\n")
+print("Mengevaluasi Retrieval...")
+for k in (1, 3, 5):
+    skor = hit_at_k(UJI, k)
+    print(f"Hit@{k} = {skor:.2f}  (Benar {int(skor*len(UJI))} dari {len(UJI)} pertanyaan)")
\ No newline at end of file
diff --git a/indeks.py b/indeks.py
new file mode 100644
index 0000000..f4153ee
--- /dev/null
+++ b/indeks.py
@@ -0,0 +1,38 @@
+from pathlib import Path
+from pypdf import PdfReader
+import chromadb
+from chromadb.utils import embedding_functions
+
+def baca_pdf(path):
+    r = PdfReader(path)
+    return "\n".join((p.extract_text() or "") for p in r.pages)
+
+def potong(teks, ukuran=500, tumpang=75):
+    hasil, mulai = [], 0
+    while mulai < len(teks):
+        hasil.append(teks[mulai:mulai + ukuran])
+        mulai += ukuran - tumpang
+    return [h for h in hasil if h.strip()]
+
+print("Menyiapkan model embedding (unduh jika belum ada)...")
+# Model multilingual agar bisa bahasa Indonesia
+emb = embedding_functions.SentenceTransformerEmbeddingFunction(
+    model_name="paraphrase-multilingual-MiniLM-L12-v2")
+
+client = chromadb.PersistentClient(path="./chroma_db")
+koleksi = client.get_or_create_collection(
+    name="pedoman", embedding_function=emb,
+    metadata={"hnsw:space": "cosine"})
+
+# Proses tiap PDF
+for pdf in Path("dokumen").glob("*.pdf"):
+    teks = baca_pdf(pdf)
+    chunks = potong(teks, ukuran=500, tumpang=75) # Pakai ukuran 500
+    koleksi.upsert(
+        ids=[f"{pdf.stem}-{i}" for i in range(len(chunks))],
+        documents=chunks,
+        metadatas=[{"sumber": pdf.name, "chunk": i} for i in range(len(chunks))],
+    )
+    print(f"{pdf.name} → {len(chunks)} chunk disimpan.")
+
+print("\nSelesai! Indeks tersimpan di folder 'chroma_db'.")
\ No newline at end of file
diff --git a/lab1_chunking.py b/lab1_chunking.py
new file mode 100644
index 0000000..135875d
--- /dev/null
+++ b/lab1_chunking.py
@@ -0,0 +1,31 @@
+from pathlib import Path
+from pypdf import PdfReader
+
+def baca_pdf(path):
+    r = PdfReader(path)
+    return "\n".join((p.extract_text() or "") for p in r.pages)
+
+def potong(teks, ukuran=800, tumpang=100):
+    hasil, mulai = [], 0
+    while mulai < len(teks):
+        hasil.append(teks[mulai:mulai + ukuran])
+        mulai += ukuran - tumpang
+    return [h for h in hasil if h.strip()]
+
+# Gabungkan semua teks PDF untuk simulasi dokumen besar
+semua_teks = ""
+for pdf in Path("dokumen").glob("*.pdf"):
+    semua_teks += baca_pdf(pdf) + "\n\n"
+
+print("Total panjang teks semua PDF:", len(semua_teks), "karakter\n")
+
+for ukuran in (500, 1000, 1500):
+    tumpang = int(ukuran * 0.15) # Overlap 15%
+    chunks = potong(semua_teks, ukuran, tumpang)
+    print(f"=== Ukuran: {ukuran}, Overlap: {tumpang} ===")
+    print(f"Jumlah chunk yang dihasilkan: {len(chunks)}")
+    # Cetak 100 karakter pertama dari chunk ke-1 dan terakhir
+    print(f"Chunk 1: {repr(chunks[0][:100])}...")
+    if len(chunks) > 1:
+        print(f"Chunk akhir: {repr(chunks[-1][:100])}...")
+    print("-" * 40)
\ No newline at end of file