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Febria Roosita Dwi, Febria Roosita
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Aplikasi Editor Pemeriksa Ejaan dan Rekomendasi Kata dalam Bahasa Indonesia Berbasis Android Dwi, Febria Roosita; Intan, Rolly; Santoso, Leo Willyanto
Jurnal Infra Vol 4, No 1 (2016)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.005 KB)

Abstract

Indonesian has now become more popular internationally, for example, Vietnam used Indonesian Bahasa as their second language. There are several ways to helping people to learn Indonesian Bahasa, one of them is by creating a tool that allows them to determine whether the language the are currently learning is true or not. This thesis discusses the application of Indonesian editor with spell checker and diction recommendation features in IndonesianThe process is carried out as follows: users opens a file or typing in the editor, words input will be checked with Apache Lucene, and Lucene will crawling to all of the data and give the recommendation base on the weight (Leveinsthein Algorithm) and if a user opens a file, the application will perform spell checking using Nazief and Adriani algoritm. The result of this process is the result of input that is underlined words that is not in accordance with Indonesian, or suitable recommendation result by Apache Lucene. Input could be words or .doc file. As Output will be written in .doc file and the spell checking results and words recommendation will be shown in editor as the user types. This application is built using Java programming language and Android Studio as the IDE.The test result shows that the accuracy of the Nazief and Adriani Algorthms still need to be improved, word length and word complexity also affects the time in the checking process, for example: to check documents with 100 words, there are various of time from 1.48 minutes to 3.3 minutes. Besides that, this algoritm can not check the word which had 2 syllables, like “pertanggungjawaban” because of the stemming process.
IOS APPLICATION FOR FINDING HALAL FOOD, MOSQUE, QIBLA DIRECTION AND PRAYER TIME Dwi, Febria Roosita
Jurnal Informatika Vol 13, No 2 (2015): NOVEMBER 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.923 KB) | DOI: 10.9744/informatika.13.2.63-70

Abstract

Muslim sometimes has trouble when they travel to a new place for find where the location of the halal food and mosque near their location is. Other things that Muslim will have difficulty when they travel in to a new place are find the Qibla direction, pray time in local time and the mosque location near their location. From that problem MLH (Muslim Little Helper) want to help them to solve their problem. The process is carried out as follows: The app get the user location, send the location to the YELP API server and muslimshalat.com API to get the location of halal food, and mosque (using YELP) and for find the direction of Qibla and the prayer schedule (by using muslimshalat.com API). After the system get the data, then it will show on the Map (using apple map inside the app) and put the data as marker. For the Qibla direction and prayer time, it will show in arrow image and listview. This app will be use Swift for the development language. The test result shows that the YELP API can be use only in USA, and internet play as the main rule in this app, because to create connection to the server to pull the data, the system need internet to pass all the data to server.
Co-Authors Leo Willyanto Santoso Rolly Intan