https://onnocenter.or.id/wiki/index.php?action=history&feed=atom&title=Scrapping%3A_Word_Cloud%2C_Word_Frekuensi 2026-05-06T08:47:39Z Revision history for this page on the wiki MediaWiki 1.35.4 https://onnocenter.or.id/wiki/index.php?title=Scrapping:_Word_Cloud,_Word_Frekuensi&diff=72184&oldid=prev 2025-03-28T23:34:24Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:34, 28 March 2025</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==✅ Fitur Analisis:==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==✅ Fitur Analisis:==</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">1. </del>'''Frekuensi kata''' (word count)</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"># </ins>'''Frekuensi kata''' (word count)</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">2. </del>'''Word cloud''' visual</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"># </ins>'''Word cloud''' visual</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">3. </del>'''Top N kata paling sering muncul'''</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"># </ins>'''Top N kata paling sering muncul'''</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">4. </del>Opsional: '''hapus stopwords Bahasa Indonesia''' biar hasilnya lebih bersih</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"># </ins>Opsional: '''hapus stopwords Bahasa Indonesia''' biar hasilnya lebih bersih</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Install dulu lib tambahan:==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Install dulu lib tambahan:==</div></td></tr> </table>

Onnowpurbo https://onnocenter.or.id/wiki/index.php?title=Scrapping:_Word_Cloud,_Word_Frekuensi&diff=72183&oldid=prev 2025-03-28T23:34:04Z

<p>Created page with &quot;==✅ Fitur Analisis:== 1. &#039;&#039;&#039;Frekuensi kata&#039;&#039;&#039; (word count) 2. &#039;&#039;&#039;Word cloud&#039;&#039;&#039; visual 3. &#039;&#039;&#039;Top N kata paling sering muncul&#039;&#039;&#039; 4. Opsional: &#039;&#039;&#039;hapus stopwords Bahasa Indones...&quot;</p> <p><b>New page</b></p><div>==✅ Fitur Analisis:==<br /> 1. '''Frekuensi kata''' (word count)<br /> 2. '''Word cloud''' visual<br /> 3. '''Top N kata paling sering muncul'''<br /> 4. Opsional: '''hapus stopwords Bahasa Indonesia''' biar hasilnya lebih bersih<br /> <br /> ==Install dulu lib tambahan:==<br /> <br /> pip install nltk matplotlib wordcloud<br /> <br /> Lalu jalankan ini sekali untuk download stopwords-nya:<br /> <br /> import nltk<br /> nltk.download('stopwords')<br /> <br /> ==Tambahan Script Analisis (lanjut dari script sebelumnya):==<br /> <br /> import os<br /> import string<br /> from collections import Counter<br /> from wordcloud import WordCloud<br /> import matplotlib.pyplot as plt<br /> from nltk.corpus import stopwords<br /> <br /> # Buat daftar stopwords Bahasa Indonesia<br /> stop_words = set(stopwords.words('indonesian'))<br /> <br /> def bersihkan_teks(teks):<br /> # Lowercase + hilangkan tanda baca<br /> teks = teks.lower()<br /> teks = teks.translate(str.maketrans('', '', string.punctuation))<br /> return teks<br /> <br /> def analisis_folder(folder='outputs', top_n=20):<br /> semua_konten = ''<br /> <br /> for filename in os.listdir(folder):<br /> if filename.endswith('.txt'):<br /> filepath = os.path.join(folder, filename)<br /> with open(filepath, 'r', encoding='utf-8') as f:<br /> isi = f.read()<br /> # Ambil hanya bagian isi, setelah header<br /> if '\n\n' in isi:<br /> isi = isi.split('\n\n', 1)[1]<br /> semua_konten += isi + ' '<br /> <br /> # Bersihkan teks dan tokenisasi<br /> teks_bersih = bersihkan_teks(semua_konten)<br /> kata_kata = teks_bersih.split()<br /> <br /> # Hapus stopwords<br /> kata_kata = [kata for kata in kata_kata if kata not in stop_words and kata.isalpha()]<br /> <br /> # Hitung frekuensi<br /> counter = Counter(kata_kata)<br /> top_kata = counter.most_common(top_n)<br /> <br /> print(f&quot;\n🔍 Top {top_n} Kata Paling Sering Muncul:&quot;)<br /> for kata, jumlah in top_kata:<br /> print(f&quot;{kata}: {jumlah}&quot;)<br /> <br /> # Buat Word Cloud<br /> wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(counter)<br /> <br /> # Tampilkan<br /> plt.figure(figsize=(12, 6))<br /> plt.imshow(wordcloud, interpolation='bilinear')<br /> plt.axis('off')<br /> plt.title('Word Cloud dari Semua Konten')<br /> plt.tight_layout()<br /> plt.savefig('wordcloud.png')<br /> plt.show()<br /> <br /> print(&quot;\n✅ Word Cloud disimpan sebagai 'wordcloud.png'&quot;)<br /> <br /> # Jalankan analisis<br /> if __name__ == '__main__':<br /> analisis_folder('outputs', top_n=30)<br /> <br /> ==Output:==<br /> * Console akan menampilkan '''30 kata paling sering muncul'''<br /> * Word cloud disimpan sebagai: `wordcloud.png`<br /> <br /> ==Hasil bisa dipakai untuk:==<br /> * Lihat '''topik dominan'''<br /> * Tambahan insight untuk '''laporan/jurnal'''<br /> * Bahan untuk '''visualisasi di presentasi'''<br /> <br /> <br /> ==Pranala Menarik==<br /> <br /> * [[Scrapping]]</div>

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