Implementasi Algoritma Breadth First Search dan Lingo pada perangkat lunak bantu pengklasteran abstrak paper

Hidayat, Edi (2019) Implementasi Algoritma Breadth First Search dan Lingo pada perangkat lunak bantu pengklasteran abstrak paper. Diploma thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

INDONESIA : Pengguna internet mempublikasikan karyanya sehingga membuat banyak pilihan akan akses informasi. Sedemikian pesatnya pertambahan jumlah dokumen beserta keanekaragamannya, menyebabkan masalah baru pada saat pencarian dokumen. Salah satu kesulitan tersebut yaitu mendapatkan hasil pencarian yang relevan. Pada kebanyakan mesin pencarian saat ini, respon dari query pengguna mengembalikan hasil pencarian dengan menampilkan sebagian dari dokumen. Jika query terlalu umum, maka sangat sulit bagi user untuk mengidentifikasi dokumen mana yang sesuai. Untuk mengatasi semua persoalan tersebut maka dibuatlah perangkat lunak yang menggabungkan dua metode yaitu metode web scraping dan clustering dengan menggunakan algoritma Breadth First Search untuk proses pencarian data dari website digilib dan algoritma Lingo untuk proses pengelompokkan hasil pencarian abstrak paper yang di implementasikan pada pemograman web php dan database mysql. Hasil akhir pengujian didapatkan rata – rata waktu 29,18 detik dengan jumlah data terunduh 57,1 dalam sekali proses scraping dan rata – rata waktu 6,315 detik dengan jumlah cluster 10,8 label dari total 103,5 data hasil pencarian. ENGLISH : Internet users publish their work making many choices about access to information. Such a rapid increase in the number of documents and their diversity, causing new problems when searching for documents. One such difficulty is getting relevant search results. On most search engines today, the response from a user's query returns the search results by displaying a portion of the document. If the query is too general, it is very difficult for the user to identify which document is suitable. To overcome all these problems, software was made that combines two methods, namely web scraping and clustering methods using Breadth First Search algorithm to search data from digilib websites and Lingo algorithm for the process of grouping abstract paper search results that are implemented in php web programming and mysql database. The final test results obtained an average time of 29.18 seconds with the amount of data downloaded 57.1 in a single scraping process and an average time of 6.315 seconds with a total cluster of 10.8 labels from a total of 103.5 search results data.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: web scraping; clustering; Breadth First Search; Lingo; abstrak
Subjects: Data Processing, Computer Science
Library and Information Sciences
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Informatika
Depositing User: Edi Hidayat
Date Deposited: 28 Oct 2019 08:12
Last Modified: 28 Oct 2019 08:12
URI: http://digilib.uinsgd.ac.id/id/eprint/25932

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