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Android-Based Media Development in Mathematics Lessons Ulfi Firdayati; Darwan Darwan; Hadi Kusmanto
Eduma : Mathematics Education Learning and Teaching Vol 10, No 1 (2021)
Publisher : Jurusan Tadris Matematika IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/eduma.v10i1.8138

Abstract

This study aims to develop Android-based media for learning the orm applications by developing designs to attract students to learn independently. The application used in this study is the Smart Apps Creator (SAC). This media development uses the research and development (R&D) method according to Sugiyono by using the Potential and Problem steps, Gathering Information, Product Design, Design Validation, Design Improvement, Product Testing, Product Revision, and Usage Trials. The validation results by the media expert were 0.84 with the criteria "Very Appropriate." The validation results by the material experts were 0.80 with the criteria "Very Suitable." Based on the results of expert validation, the application is declared valid and feasible to be tested on a limited and broad basis. Based on the limited trial results and broadly obtained from the results of the questionnaire for each item number> 50%. To sum up,  that this android-based mathematics application media is suitable for independent learning wherever and whenever
Use of Wavelets in Electrocardiogram Research: a Literature Review Darwan Darwan; Hindayati Mustafidah
JUITA: Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v9i1.10202

Abstract

Currently the introduction and detection of heart abnormalities using electrocardiogram (ECG) is very much. ECG conducted many research approaches in various methods, one of which is wavelet. This article aims to explain the trends of ECG research using wavelet approach in the last ten years. We reviewed journals with the keyword title "ecg wavelet" and published from 2011 to 2020. Articles classified by the most frequently discussed topics include: datasets, case studies, pre-processing, feature extraction and classification/identification methods. The increase in the number of ECG-related articles in recent years is still growing in new ways and methods. This study is very interesting because only a few researchers focus on researching about it. Several approaches from many researchers are used to obtain the best results, both by using machine learning and deep learning. This article will provide further explanation of the most widely used algorithms against ECG research with wavelet approaches. At the end of this article it is also shown that the critical aspect of ECG research can be done in the future is the use of datasets, as well as the extraction of characteristics and classifications by looking at the level of accuracy.
The Effect of Use of Geogebra Media on Student Learning Result in Trigonometry Function Material in Class X Senior High School 8 Cirebon Syafadol Zikri; Darwan Darwan; Sirojudin Wahid
International Journal of Education and Humanities Vol. 1 No. 2 (2021): International Journal of Education and Humanities (IJEH)
Publisher : Zenius Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.197 KB)

Abstract

One of the causes of the unattractiveness of learning mathematics for high school is the complexity factor of learning media that is in harmony with complex material. Therefore, learning media need a form of presentation that is simple but attractive. Efforts to increase student interest, which require media to support learning mathematics. One of them is by using Geogebra learning media. This study aims to determine the influence of the use of learning media based on the Geogebra application on student learning outcomes at Senior High School 8 Cirebon. The research method used is a quasi-experimental design, which is a research method that has a control group, but cannot function fully to control external variables that affect the implementation of the experiment. The results of the study obtained the value of F-count > Ftable or 26,358 > 4,13. And the correlation (r) = 0.661 then it is included in the medium category. The coefficient of determination (r2) = 0.437 or 43.7%, then the learning media has an effect on student learning outcomes on the subject of trigonometric functions. Based on the results of the Independent T-test analysis, the t-count value of 11,037 using a significance level of 5% obtained t-table of 1,994. The t-table value is obtained from the excel program by means of =tinv(0.05;69.) then enter. Because the value of t-count > t-table (11.037 > 1.994) then Ho is rejected. This means that Geogebra learning media can improve student learning outcomes
Menumbuhkan Kemandirian Belajar Matematika Siswa Melalui Mobile Learning Berbasis Android Siti Kurniasih; Darwan Darwan; Arif Muchyidin
JEMS: Jurnal Edukasi Matematika dan Sains Vol 8, No 2 (2020)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jems.v8i2.7041

Abstract

Kemandirian balajar merupakan suatu sikap siswa yang memiliki inisiatif sendiri untuk belajar, memiliki keinginan untuk menguasai kompetensi, memiliki rasa percaya diri dan juga tanggung jawab terhadap tugasnya sebagai peserta didik serta tidak bergantung pada orang lain. Seiring berkembangnya teknologi, media bukan saja sebagai alat bantu yang dapat membantu dan mempermudah guru dalam menyampaikan materi akan tetapi media pembelajaran juga harus dapat memotivasi dan membangun keinginan siswa untuk belajar. Salah satu media pembelajaran yang dekat dengan dunia anak salah satunya media pembelajaran berbasis android. Penelitian ini bertujuan untuk mengetahui ada atau tidaknya pengaruh mobile learning berbasis android terhadap kemandirian belajar siswa. Jenis penelitian yang digunakan dalam penelitian ini yakni pendekatan kuantitatif dengan menggunakan metode eksperimen. Desain penelitian yang digunakan dalam metode eksperimen ini yaitu One-Shot Case Study. Berdasarkan dari hasil penelitian terbukti bahwa penggunaan mobile learning berbasis android berpengaruh terhadap kemandirian belajar matematika siswa, sehingga mobile learning berbasis android bisa menjadi salah satu media pembelajaran bagi guru untuk menumbuhkan kemandirian belajar matematika siswa.
The Use of Learning Media Motion Graphics Towards Students Mathematical Understanding Ikman Nurhakim Rahadi; Darwan Darwan; Hendri Handoko
ITEJ (Information Technology Engineering Journals) Vol 5 No 2 (2020): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v5i2.45

Abstract

Learning about the concept and structure of a mathematical material and looking for relationships between them is real math learning. In many math learning materials, students often struggle to understand the concept of the material. The mathematical skills need to be stimulus and encouraged when learning. To practice such skills need innovations such as using motion graphics learning media. The purpose of this research is to know the student's response to the use of motion graphic media, to find out how much the mathematical skills of students after using motion graphic learning media, to know how much influence The media use of motion graphic learning to the students mathematical skills, to determine the effectiveness of the use of motion graphic learning media to the students mathematical skills. This method of research is experimental research with data collection techniques using poll and observation for variable X and test for variable Y. Population for this research is all students of grade IX SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon, while the sample Taken by the cluster method of random sampling with the elected class IX B SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon. Based on the results of the data processing, the student response questionnaire was obtained against the use of media in motion graphic media learning with an average of 85.23% with very strong criteria. Based on the hypothesis test result obtained tcount > ttable = 9,895 > 2.063, then H0 rejected or Ha is acceptable, the use of Motion graphics Learning Media is effective against the mathematical understanding of grade IX students SMP IT Umar Al Khattab. It is also supported through an N-Gain value of 65.40 as well as an indicator of the learning effectiveness of a KKM pass of 91.66% classifying, student response 85.23%, student activity of 77,,33%, as well as the ability of the teacher to manage the class that got the value 3.34.
Penggunaan Jaringan Syaraf Tiruan dan Wavelet Pada Citra EKG 12 Lead Darwan Darwan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 20 No 2 (2021)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.514 KB) | DOI: 10.30812/matrik.v20i2.1075

Abstract

Jantung sangat penting dalam sistem organ tubuh manusia. Apabila terjadi kesalahan pada fungsi jantung akibatnya sangat fatal. Oleh karenanya sangatlah penting menjaga kondisi jantung agar tetap sehat. Penelitian ini mencoba menawarkan untuk meneliti terkait kelainan jantung dengan menggunakan citra Electrocardigram (EKG) 12 lead. Data EKG yang digunakan berupa citra. Tujuan penelitian ini untuk memperoleh model yang tepat dalam mengidentifikasi kelainan jantung dengan menggunakan wavelet. Tahapan penelitian terdiri dari pre-processing, ekstraksi ciri dan klasifikasi. Tahap pre-processing menggunakan metode segmentasi (merubah data citra dari grayscale ke biner), morfologi (metode dilasi dan metode erosi) dan transformasi ke sinyal. Tahap ektraksi ciri menggunakan metode dekomposisi transformasi wavelet dengan tingkatan tiga level, dimana mother wavelet yang digunakan berupa symlet orde 4 (Sym4). Tahap klasifikasi menggunakan jaringan syaraf tiruan dengan metode backpropagation. Adapun metode validasi dan evaluasi menggunakan k-fold cross validation dan confusion matrix. Penggunaan metode k-fold cross validation, dimana k=5 dengan pembagian data training 80% dan testing 20%. Hasil yang diperoleh dari keseluruhan sistem dimana tingkat akurasi sebesar 92,94%, sensitifitas sebesar 90% dan spesifisitas sebesar 94,55%.