scholarly journals Sistem Rekomendasi Buku pada Perpustakaan Daerah Provinsi Kalimantan Selatan Menggunakan Metode Content-Based Filtering

2020 ◽  
Vol 20 (1) ◽  
pp. 193-202
Author(s):  
Muhammad Alkaff ◽  
Husnul Khatimi ◽  
Andi Eriadi
Keyword(s):  
Weighted Tree ◽  
Tree Similarity ◽  
Content Based Filtering

Perpustakaan Daerah Provinsi Kalimantan Selatan merupakan salah satu perpustakaan dan pusat penyedia layanan informasi yang ada di Kalimantan Selatan. Namun. selama ini pengunjung perpustakaan kesulitan dalam mencari buku yang berkaitan dengan buku yang dipilih sebelumnya dan juga dalam menemukan alternatif buku lain ketika buku yang diinginkan tersebut telah dipinjam. Dengan adanya rekomendasi atau saran buku-buku lain yang berhubungan diharapkan membantu dalam mendapatkan buku yang sesuai dan diinginkan pengunjung perpustakaan. Pada penelitian ini penerapan sistem rekomendasi menggunakan metode Content-Based Filtering dalam memberikan rekomendasi buku yang bekerja dengan melihat kemiripan item yang dianalisis dari fitur yang dikandungnya dengan Weighted Tree Similarity. Berdasarkan hasil pengujian yang telah dilakukan pada 5 skenario pengujian yang diujikan dihasilkan nilai precision sebesar 88%.

scholarly journals Algoritma Extended Weighted Tree Similarity untuk Memberikan Solusi Memasak pada J2ME

d'CARTESIAN ◽  
2012 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Halim Yosephine ◽  
Somya Ramos ◽  
Fibriani Charitas
Keyword(s):  
Mobile Technology ◽  
Weighted Tree ◽  
Highest Weight ◽  
Similarity Algorithm ◽  
Tree Similarity

Abstract The aim of this thesis is to give the simplicity in cooking with limited ingredients for the users by using mobile technology (J2ME). The aim of this thesis can be done by using Extended Weighted Tree Similarity Algorithm, a calculation to find out the highest weight similarity between the menu which has been inputted in the application as a database; and the inputted ingredients from the users of this application. The conclusion of this thesis is that Algorithm Extended Weighted Tree Similarity can be implemented into mobile technology (J2ME).  Keywords: extended weighted tree similarity, cooking smart, J2ME Abstrak Tujuan dari penelit ian ini adalah   memberikan kemudahan dalam memasak dengan bahan yang terbatas bagi pengguna  dengan menggunakan  teknologi  mobile  (J2ME).  Tujuan dari  tesis ini  dapat dilakukan dengan menggunakan  Algoritma  Extended Weighted Tree Similarity, perhitungan  untuk mengetahui  kesamaan  bobot  tertinggi antara menu  yang telah  diinput  dalam aplikasi  sebagai  database, dan  bahan-bahan  dimasukkan  dari  pengguna  aplikasi ini.  Kesimpulan dari  tesis ini  adalah bahwa  Algoritma Extended Weighted Tree Similarity dapat diimplementasikan ke dalam teknologi mobile (J2ME).  Kata Kunci : extended weighted tree similarity, cooking smart, J2ME

scholarly journals Implementation of Weighted Tree Similarity and Cosine Sorensen-Dice Algorithms for Semantic Search in Document Repository Information System

2021 ◽  
Vol 5 (1) ◽  
pp. 21-27
Author(s):  
Abdurrosyiid amrullah ◽  
Indra Gita Anugrah
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Retrieval System ◽  
Semantic Search ◽  
Text Search ◽  
Weighted Tree ◽  
File Storage ◽  
Document Search ◽  
Similarity Algorithm ◽  
Tree Similarity

As more and more documents we manage, the more difficult it is in the search process, and the need to use information retrieval becomes important. With the information retrieval system, it can help in searching for documents that match the similarity of keywords. Usually document searches usually only see the name of the document (file) being searched for by the user without paying attention to the content or metadata of the document, so that it cannot meet their information needs. Document search has several approaches, including full-text search, plain metadata search and semantic search. This study uses the Weighted Tree Similarity algorithm with the Cosine Sorensen Dice algorithm to calculate the semantic search similarity. In this study, document metadata is represented in the form of a tree that has labeled nodes, labeled branches and weighted branches. The similarity calculation on the subtree edge label uses Cosine Sorensen Dice, while the total similarity of a document uses the weighted tree similarity. The metadata structure of the document uses the taxonomy owner, description, title, disposition content and type. The result of this research is a document search application with taxonomic weight on file storage.

scholarly journals Semantic Search for Scientific Articles by Language Using Cosine Similarity Algorithm and Weighted Tree Similarity

2021 ◽  
Vol 5 (2) ◽  
pp. 106-114
Author(s):  
Muhamad Aldi Rifai ◽  
Indra Gita Anugrah
Keyword(s):  
Cosine Similarity ◽  
Scientific Article ◽  
Weighted Tree ◽  
Abstract Section ◽  
Language Differences ◽  
Search Results ◽  
Similarity Algorithm ◽  
Tree Similarity ◽  
N Gram ◽  
The Right

The activity of writing scientific articles by academics at universities is one of the activities that is often carried out, but when writing scientific articles problems arise regarding the difficulty of finding ideas, literature studies, and reference sources that you want to use as references when writing. Sometimes when searching on a search engine, we have trouble finding the right document, because usually, the keywords we are looking for are not in the title section but another part of the structure. Since most search engines only match titles, other structures are usually excluded from matching. So that the search results that we do sometimes don't match what we want. In addition, usually, each scientific article has many language differences in its structure as found in the abstract section. To detect similarities through the structure of scientific articles, an algorithm is used, namely weighted tree similarity, and to detect language using the N-gram algorithm, then the cosine similarity algorithm can be used to check the level of similarity in keyword text with text in scientific articles.

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