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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Software Engineering and Information System (SEIS)
Fu’adah Amran, Hasanatul
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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IMPLEMENTASI TEXT TO SPEECH DALAM APLIKASI PEMBELAJARAN MATEMATIKA DASAR DENGAN AUGMENTED REALITY Fu’adah Amran, Hasanatul; Medikawaty Taufiq, Reny; Asrul Abdurrahim, Abulkhair; Mukhtar, Harun
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 2 No. 2 (2022)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.393 KB) | DOI: 10.37859/seis.v2i2.3999

Abstract

Mathematical science is a basic science that supports other sciences in its application. Therefore, understanding mathematics correctly will have implications for the ability to study several sciences related to mathematics. This study developed an augmented reality-based basic math learning application that can provide education to students with different media in order to increase student interest in learning mathematics. This application uses the Vuforia SDK library which is able to display 3-dimensional characters with markerless techniques in the form of augmented reality. The final result of this study is an application that can be used on smartphones with the Android operating system, based on the results of testing the application, it is concluded that the research and development of basic mathematics learning applications based on augmented reality have been successfully implemented and a series of tests have been carried out to test the capabilities of the application. From the results of testing conducted by distributing questionnaires to students who are sitting in elementary school, from grade 3 (three) to grade 6 (six). The result of the percentage of students' answers who answered correctly was 97 percent (%) and the wrong one was 3 percent (%), it can be concluded that the application of basic mathematics learning based on augmented reality can help students in learning mathematics with learning media and can help students learn math anywhere easily.
Deep Learning Untuk Klasifikasi Kematangan Buah Mangrove Berdasarkan Warna Mukhtar, Harun; Alfanico, Febrian; Fu’adah Amran, Hasanatul; Handayani, Fitri; Medikawati Taufiq, Reny
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6292

Abstract

Plants that live between land and sea, such as mangroves, are influenced by the tides and tides. Indonesia has the largest mangrove forest in the world and a variety of biodiversity and structure. People currently detect mangrove maturity by looking directly at the fruit. This study proposes to classify the maturity of mangrove fruit using artificial intelligence techniques, making it easier for farmers to determine the ripeness of the fruit. This proposal uses data from 200 images for mangroves taken directly from Lukit Village, Merbau District, Meranti Islands Regency. This research improves the Convolutional Neural Network (CNN) method to classify mangrove fruit maturity. The results obtained from this research were by classifying ripe and unripe fruit. Based on this research, accuracy reaches a maximum of 96%.
Co-Authors Alfanico, Febrian Asrul Abdurrahim, Abulkhair Fitri Handayani Harun Mukhtar Medikawaty Taufiq, Reny Taufiq, Reny Medikawati