Handoko, Beatrice Kerenhapukh (2015) Pemblokiran halaman website porno berdasarkan text content melalui browser extension dan web service. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Keberadaan internet membuka gerbang bagi semua jenis informasi untuk
seluruh lapisan masyarakat. Namun, tidak semua informasi tersebut adalah
informasi yang baik dan bermanfaat, tetapi bisa juga merupakan informasi yang
merusak moral seperti pornografi. Oleh karenanya, bahaya pornografi dapat
mempengaruhi anak-anak yang telah mengenal dunia internet sejak kecil.
Dibutuhkan sebuah sistem yang dapat mengenali dan memilah halaman website
mana yang layak dilihat oleh mereka. Halaman yang mengandung pornografi
harus segera diblokir.
Sistem ini dibuat dengan menerapkan konsep information retrieval dan
metode klasifikasi Naive Bayes serta memanfaatkan keberadaan browser
extension dan web service. Suatu halaman website akan melalui tahap-tahap
cleaning, tokenisasi (tokenization), stop word, stemming, serta pengelompokan
pembobotan. Semua tahap tersebut akan menghasilkan kata kunci untuk
selanjutnya diproses dengan perhitungan Naive Bayes. Pada akhirnya akan
dihasilkan suatu kesimpulan apakah halaman tersebut mengandung pornografi
atau tidak. Setelah itu, halaman yang termasuk kategori porno akan diblokir.
Berdasarkan hasil uji coba yang dilakukan, disimpulkan bahwa sistem ini
dapat mengklasifikasikan dan memblokir halaman website yang mengandung
pornografi. Penelitian ini menguji 120 halaman website, dengan 4 set pelatihan
dan uji coba. Rata-rata tingkat akurasi semua set tersebut adalah sebesar 89,58%. / The existence of internet opens the gates to all kinds of information for all
society levels. Unfortunately, not all of those information are good and useful
ones, but could also be morally damaging such as pornography. Therefore, the
danger of pornography could affect children that had use internet since their
childhood. This requires a system that could identify and pick which website page
that are worth seeing by them. Web page that contains pornography should be
blocked right away.
This system is created by implementing the concept of information
retrieval and classification method Naive Bayes, and also utilizing the existence of
browser extension and web service. A web page would go through several phase
of cleaning, tokenization, stop word, stemming, and grouping-weighting. All these
steps will generate key words to be further processed by Naive Bayes calculation.
This will ultimately reach a conclusion whether the page contains pornography or
not. After that, the page that being categorized as porn will be blocked.
Based on the results of experiments performed, it was concluded that this
system can classify and block pages that contain pornography. This study
examined 120 pages, with 4 sets of training and testing. The average level of
accuracy for all training and testing set is 89.58%.
Item Type: | Thesis (Bachelor) |
---|---|
Creators: | Creators NIM Email ORCID Handoko, Beatrice Kerenhapukh NIM08120110002 UNSPECIFIED UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Setiawan, Kuswara UNSPECIFIED UNSPECIFIED |
Uncontrolled Keywords: | pornografi; blokir; web service; browser extension; information retrieval; naive bayes; pornography; block; naive bayes |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware |
Divisions: | University Subject > Current > Faculty/School - UPH Surabaya > School of Information Science and Technology > Information Systems Current > Faculty/School - UPH Surabaya > School of Information Science and Technology > Information Systems |
Depositing User: | Rafael Rudy |
Date Deposited: | 26 Jan 2024 07:03 |
Last Modified: | 26 Jan 2024 07:03 |
URI: | http://repository.uph.edu/id/eprint/60706 |