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All Journal MULTINETICS SATIN - Sains dan Teknologi Informasi
Fandhilah
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Computer Science & IT

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Analisis Sentimen Aplikasi Quizizz pada Google Play Store Menggunakan Naïve Bayes Fandhilah; Ardiansyah, Angga
SATIN - Sains dan Teknologi Informasi Vol 9 No 2 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v9i2.1056

Abstract

Kegiatan pembelajaran dan juga membuat kuis interaktif dengan siswa. Quizizz dapat langsung memberikan data dan statistik tentang kinerja siswa. Quizizzz bisa didapatkan melalui Google Play Store. Setiap aplikasi yang sudah tersedia pada Google Play Store pasti mempunyai review yang dikirimkan oleh pengguna lain berdasarkan pengalaman mereka setelah menggunakan aplikasi tersebut. Ulasan ini selanjutnya dapat dijadikan referensi bagi pengguna lain sebelum mengunduh aplikasi dan juga dapat dijadikan referensi oleh pengguna aplikasi untuk menentukan apakah aplikasi akan tetap digunakan atau tidak. Dan tujuan dari penelitian ini yaitu untuk menganalisis ulasan pengguna terhadap aplikasi Quizizz di Google Play Store, menggunakan cara analisis sentimen. Analisis ulasan pengguna ini menggunakan metode Naïve Bayes yang menghasilkan akurasi sebesar 79.01% +/- 5.44% (micro average: 79.00%). Selain itu, nilai AUC pada ROC curve sebesar 0,785 +/- 0.069. Learning activities and also creating interactive quizzes with students. Quizizz can immediately provide data and statistics about student performance. Quizizzz can be obtained via the Google Play Store. Every application that is available on the Google Play Store must have reviews submitted by other users based on their experiences after using the application. This review can then be used as a reference for other users before downloading the application and can also be used as a reference by application users to determine whether the application will continue to be used or not. And the aim of this research is to analyze user reviews of the Quizizz application on the Google Play Store, using sentiment analysis. This user review analysis uses the Naïve Bayes method which produces an accuracy of 79.01% +/- 5.44% (micro average: 79.00%). Apart from that, the AUC value on the ROC curve is 0.785 +/- 0.069.
Rancang Bangun Smart Gloves Untuk Penyandang Disabilitas Sensorik Rungu Wicara Fandhilah; Kasoni , Dian; ningsih, Liesna; Pardi, Muhammad
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5779

Abstract

Abstract - Communication is the most important need for humans as social beings to be able to interact with one human being and the other, for normal people communication does not experience obstacles. Unlike people with deaf and speech disabilities, they have difficulty communicating with others or with normal people, and normal people who do not understand sign language have difficulty interacting with the speech impaired and the deaf. For this reason, gloves are made as a communication aid for people with deaf and speech disabilities, these gloves can translate wetness of gestures by utilizing flex sensors on each finger segment. The data from the flex sensor is processed by Arduino Nano then the data is sent by the Bluetooth Transmitter and received by the Bluetooth Receiver then processed by Arduino Uno before being displayed on the 16x2 LCD, the final result after testing on the tool, the sensor is able to read letters and signal words, the accuracy rate of reading letter cues reaches 67% and word cues reach 44%, the sensor value always changes because the sensor reads the curve of the finger of the hand. ‘ Keywords: Communication, Sign Language, Gloves, Flex Sensors, Bluetooth.
Analisis Sentimen Aplikasi Quizizz pada Google Play Store Menggunakan Naïve Bayes Fandhilah; Ardiansyah, Angga
SATIN - Sains dan Teknologi Informasi Vol 9 No 2 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v9i2.1056

Abstract

Kegiatan pembelajaran dan juga membuat kuis interaktif dengan siswa. Quizizz dapat langsung memberikan data dan statistik tentang kinerja siswa. Quizizzz bisa didapatkan melalui Google Play Store. Setiap aplikasi yang sudah tersedia pada Google Play Store pasti mempunyai review yang dikirimkan oleh pengguna lain berdasarkan pengalaman mereka setelah menggunakan aplikasi tersebut. Ulasan ini selanjutnya dapat dijadikan referensi bagi pengguna lain sebelum mengunduh aplikasi dan juga dapat dijadikan referensi oleh pengguna aplikasi untuk menentukan apakah aplikasi akan tetap digunakan atau tidak. Dan tujuan dari penelitian ini yaitu untuk menganalisis ulasan pengguna terhadap aplikasi Quizizz di Google Play Store, menggunakan cara analisis sentimen. Analisis ulasan pengguna ini menggunakan metode Naïve Bayes yang menghasilkan akurasi sebesar 79.01% +/- 5.44% (micro average: 79.00%). Selain itu, nilai AUC pada ROC curve sebesar 0,785 +/- 0.069. Learning activities and also creating interactive quizzes with students. Quizizz can immediately provide data and statistics about student performance. Quizizzz can be obtained via the Google Play Store. Every application that is available on the Google Play Store must have reviews submitted by other users based on their experiences after using the application. This review can then be used as a reference for other users before downloading the application and can also be used as a reference by application users to determine whether the application will continue to be used or not. And the aim of this research is to analyze user reviews of the Quizizz application on the Google Play Store, using sentiment analysis. This user review analysis uses the Naïve Bayes method which produces an accuracy of 79.01% +/- 5.44% (micro average: 79.00%). Apart from that, the AUC value on the ROC curve is 0.785 +/- 0.069.
Co-Authors Angga Ardiansyah Kasoni , Dian ningsih, Liesna Pardi, Muhammad