Open AccessFuzzy string implementation matching on android-based encyclopedia and anatomy quiz
Author(s) -
Muhammad Raihan Firdaus,
M H Mud’is,
Ilham Muhamad Nurjaman,
Ine Fauzia,
Busro Busro
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/6/066065
Subject(s) - approximate string matching , levenshtein distance , string searching algorithm , encyclopedia , computer science , string metric , search engine indexing , android (operating system) , fuzzy logic , artificial intelligence , information retrieval , matching (statistics) , python (programming language) , computer vision , pattern recognition (psychology) , pattern matching , programming language , mathematics , operating system , statistics , library science
Encyclopedia anatomy is an android application to introduce anatomy, equipped with a search feature, multiple choice quizzes and guess image quizzes. Due to some anatomical term is uptake from foreign languages and frequently typing errors by a smartphone user, then search feature in this application implement fuzzy string matching method which uses Levenshtein distance algorithm. However, the results obtained are still not accurate, then added method of splitting and indexing, so the results are more accurate and search process fast enough. Due to more simple than a book and supported by a good appearance, this application can get a positive response from the users.