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All Journal Jurnal Puan Indonesia Internet of Things and Artificial Intelligence Journal
Sari, Yessi Ratna
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health

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Upaya Peningkatan Kemampuan Literasi Digital untuk Menanggulangi Hoaks bagi Siswa SMA Muhammadiyah 1 Pekanbaru Sari, Yessi Ratna; Syam, Essy; Aris, Qori Islami
PUAN INDONESIA Vol. 6 No. 1 (2024): Jurnal Puan Indonesia vol 6 no 1 Juli 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i1.240

Abstract

Nowadays, internet use can be accessed easily by various groups, especially among high school/vocational school students. Apart from the positive impacts obtained by users, the negative impacts of exposure to students via the internet are also very large. Students are often exposed to fake news on various social media platforms because of their unwise use. Therefore, the service team carries out community service activities. This activity aims to improve students' ability to read, receive and criticize all types of news so that they can prevent the spread of false information through digital literacy knowledge. Participants in the activity were 27 class X students at SMA Muhammadiyah 1 Pekanbaru. The approach method used is learning and understanding by providing material regarding digital literacy, exercises in the form of questions and answers including pre-test, post-test and discussions. The pre-test results show that around 80% of students are aware of the importance of digital literacy in everyday life. After providing material and discussion, a significant increase in students' understanding and awareness was obtained through the post-test, namely 96%. By carrying out this activity, it is hoped that students will be able to sort out positive information, ignore news that is provocative and spreads hatred.
Identification of Tajweed Recognition using Wavelet Packet Adaptive Network based on Fuzzy Inference Systems (WPANFIS) Siregar, Ratu Mutiara; Satria, Budy; Prayogi, Andi; Pane, Muhammad Akbar Syahbana; Awal, Elsa Elvira; Sari, Yessi Ratna
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 1 (2024): Volume 4 Issue 1, 2024 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i1.703

Abstract

This research aims to develop a system capable of processing voice input to recognize Al-Quran reading by recitation of Tajwid, using wavelet signal extraction and classification of Tajwid rules using ANFIS. The process stages include data acquisition, audio data pre-processing, extraction using wavelet packets, division of training data and test data, and classification. The data obtained were 20 observations from 10 observations carried out in data pre-processing. The wavelet decomposition process produces six main features as ANFIS input variables and 64 rules. Then the data was separated into 17 observations for training data and three for testing data. The test results obtained from the training that had been carried out produced plots that were too fit; in this experiment, the WPANFIS classification model got 100% appropriate classification and SSE values that were the same as the training result, 0.00081225.
Co-Authors Awal, Elsa Elvira Essy Syam Muhammad Akbar Syahbana Pane Prayogi, Andi Qori Islami Aris Ratu Mutiara Siregar