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All Journal TEKNIK INFORMATIKA Format : Jurnal Imiah Teknik Informatika
Noviandi Noviandi
Esa Unggul University
Computer Science & IT

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Aplikasi Pembelajaran Bangun Ruang dengan Augmented Reality (Studi Kasus : Sdn Rorotan 07 Jakarta) Selvana Arma Putra; Diah Aryani; Noviandi Noviandi; Hani Dewi Ariessanti
FORMAT Vol 12, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2023.v12.i2.005

Abstract

The use of technology and reliance on the internet has altered students' learning practices, especially how they approach mathematics. As a result, a novel method of teaching mathematics is required, particularly for geometric concepts that are challenging for children to grasp. For students to better comprehend geometric forms and volume formulas, this study intends to develop spatial learning applications incorporating augmented reality (AR). The method employed in this study is called the Multimedia Development Live Cycle (MDLC), and it includes the steps of ideation, design, material collecting, assembly, testing, and distribution. The results showed that this application succeeded in increasing students' understanding in the form of geometric shapes through the use of spatial learning applications with augmented reality. This was effective in increasing students' understanding of using 3D objects and interactions through applications made students more interested and motivated to learn mathematics.
Hoax News Detection Using Passive Aggressive Classifier And TfidfVectorizer Maulana Fajar Lazuardi; Renaldy Hiunarto; Kareena Futri Ramadhani; Noviandi Noviandi; Riya Widayanti; Muhamad Hadi Arfian
JURNAL TEKNIK INFORMATIKA Vol 16, No 2 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i2.34084

Abstract

Indonesia is one of the countries with the highest number of social media users. Million social media users in Indonesia reached 167 million in January 2023. These users are spread, across various social media, including Twitter with 24 million users. The high number of social media users on Twitter makes the information validation process even more neglected. Moreover, the trend of news interest read by social media users is only adjusted to their individual tastes. This phenomenon is evidenced by the large number of fake news (hoaxes) circulating in society which are spread through social media. Therefore, an accurate machine learning model is needed to classify "real" and "hoax" news. This study uses the TfidfVectorizer algorithm and Passive Aggressive Classifier for datasets that are shared through the Kaggle site. The contents of the dataset were sourced via social media Twitter over a span of 5 years, namely 2015-2020. At the preprocessing stage to making the Confusion Matrix, the machine learning model shows that it can work well as expected, namely getting Accuracy, Precision, and Recall scores of 82.44%, 80.66%, and 82.44%. In addition, the results of the confusion matrix show that in the dataset used, there is more "real" news than "hoaxes", that is, the model is able to predict 1059 real news and 211 hoax news, with actual conditions 1106 real news and 164 hoax news.
Co-Authors Diah Aryani Hani Dewi Ariessanti Kareena Futri Ramadhani Maulana Fajar Lazuardi Muhamad Hadi Arfian Renaldy Hiunarto Riya Widayanti Selvana Arma Putra