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All Journal Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Medika Risnasari
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Computer Science & IT Education

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Pengembangan Game Educative Berbasis Android pada Materi Bangun Ruang untuk Siswa Sekolah Dasar Muhammad Trio Maulana Putra; Ariesta Kartika Sari; Medika Risnasari
EDUTIC Vol 5, No 1 (2018): NOVEMBER 2018
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.623 KB) | DOI: 10.21107/edutic.v5i1.4478

Abstract

The aim of this study is to develop learning media for Android-based educative games on solid figures for students of elementary school. The game developed aims to facilitate students at the elementary school level to learn well. With develop this media, it is expected that students in elementary schools do not feel bored in following mathematics learning because they can learn while playing. The research method used is the 4D model namely Define, Design, Development, and Dissemination. the steps of 4D model are adopted from Thiagarajan (Sugiyono, 2016) as follows: (1) Define: contains activities to determine what products will be developed and the specification of products. in this steps, the researcher doing analysis about initial conditions through literature studies, (2) Design: containing activities to design a predetermined product. (3) Development: contains activities to make designs into products repeatedly until the Android-based educative games  according to predetermined criteria. (4) Dissemination (Dissemination), containing activities to disseminate products that have been tested to be used by others. However, this research is only limited to step 3, namely the Development stage.
PENEKANAN NOISE PADA SINYAL EKG MENGGUNAKAN TRANSFORMASI WAVELET Medika Risnasari
EDUTIC Vol 1, No 1 (2014): NOVEMBER
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.574 KB) | DOI: 10.21107/edutic.v1i1.397

Abstract

Elektrokardiogram (EKG) merupakan grafik yang merekam aktivitas kelistrikan jantung dalam waktu tertentu yang dapat memberikan informasi kondisi ritme jantung, yaitu kondisi normal atau tidak normal. Pendekatan transformasi wavelet dilakukan pada sinyal EKG sebagai cara untuk mengurangi noise/denoising yang dihasilkan dari proses perekaman sinyal jantung. Tiga kelas data EKG yang diujicobakan (Normal Sinus Rhythm (NSR), Atrial Fibrillation (AF), Ventricullar Fibrillation (VF). Pengukuran denoising sinyal EKG dengan metode Donoho diidapat nilai Signal to Noise Ratio (SNR) dari NSR sebesar 18.04 dB, SNR dari AF sebesar 22.96 dB dan SNR dari VF sebesar 20 dB.
Co-Authors Ariesta Kartika Sari Muhammad Trio Maulana Putra