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All Journal Jurnal Teknik Informatika (JUTIF) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Elistiana, Khoerotul Melina
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Computer Science & IT

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Perancangan Aplikasi Tebak Gambar Untuk Anak Tunarungu Elistiana, Khoerotul Melina; Baihaqi, Wiga Maulana
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 4 No 1 (2023): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v4i1.56

Abstract

Indonesia is one of the countries with the largest population in the world so it has various community groups, one of which is children with special needs who are deaf. A deaf child is someone who has lost the ability to hear. At a school in Purwokerto, deaf students cannot recognize general knowledge and arelazy to learn, especially in flat shape material. Often children like this need special tools in their learning to be effective, but the price of a teaching aid is quite expensive, so not all schools can afford it. As the technology of teaching aids develops, an application system that is more practical can be made, users just need to install it, no need to incur costs. In order for everything to be achieved, an MDLC (Multimedia Development Life Cycle) method was applied which was developed by Luther. This method has several stages of research such as concept, design, material collection, assembly, testing and distribution. Where the results of the research contain application designs that suit the needs of deaf children with features that are easy to understand.
IMPROVEMENT OF NAIVE BAYES ALGORITHM IN SENTIMENT ANALYSIS OF SHOPEE APPLICATION REVIEWS ON GOOGLE PLAY STORE Elistiana, Khoerotul Melina; Bagus Adhi Kusuma; Subarkah, Pungkas; Awal Rozaq, Hasri Akbar
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1486

Abstract

Reviews of the shopee application on the google play store are included in useful information if processed properly. Old or new users can analyze app reviews to get information that can be used to evaluate services. The activity of analyzing application reviews is not enough just to see the number of stars, it is necessary to see the entire contents of the review comments to be able to know the intent of the review. A sentiment analysis system is a system used to automatically analyze a review to obtain information including sentiment information that is part of an online review. The data is classified using Naive Bayes. A total of 1,000 shopee app user reviews were collected to form the sample dataset. The purpose of this study is to determine the sentiment analysis of shopee application reviews in the Google Play Store using the Naive Bayes algorithm. The stages of this research include, data collection, labeling, pre-processing, sentiment classification, and evaluation. In the pre-processing stage there are 6 stages, namely Cleaning, Case folding, Word Normalizer, Tokenizing, Stopword Removal and Stemming. TF-IDF (Term Frequency - Inverse Document Frequency) method is used for word weighting. The data will be grouped into two categories, namely negative and positive. The data will then be evaluated using accuracy parameter testing. The test results show an accuracy value of 81%, this result shows that shopee application reviews tend to be negative.
Co-Authors Awal Rozaq, Hasri Akbar Bagus Adhi Kusuma Baihaqi, Wiga Maulana Subarkah, Pungkas