Mathematics is the basis before learning coding-based courses. This type of research is quantitative descriptive. Sample of 110 informatics engineering students. The results of the study showed a significant association of learning outcomes in mathematics with the achievement of learning programming languages. The magnification coefficient of 0.663 has a moderate and positive meaning. The contribution of mathematics in explaining programming languages is 43.97% and the remaining 56.03% is accepted by other variables. Students' perceptions of mathematics and programming languages consist of four levels of understanding, namely the five senses, analysis, interpretation and evaluation. Every level of dimension. On the sensory dimension of 31.9% mathematics has a close relationship with programming languages. In the dimensions of analysis and interpretation, the value of the percentage of perceptions that are almost the same namely 21.24% and 21.14% associate mathematical concepts with the concepts of programming languages. In the evaluation dimension of 20.6%, it shows that in programming languages, students need information other than mathematics, namely the purpose of the programming language that is being designed. Full Article
<em><span lang="IN">Flash Sale</span></em><span lang="IN"> <em>Countdown Timer</em> merupakan bagian dari promosi produk di<em> marketplace online</em> eperti tokopedia, shopee, lazada biasanya letaknya di home menyajikan barang dalam bentuk <em>flash sale </em>yang telah diberikan diskon besar-besaran pada produk tertentu dalam waktu yang terbatas. <em>Flash Sale</em> <em>Countdown timer</em> merupakan layanan promosi menggiring konsumen pengunjung marketplace online untuk berpikir cepat melakukan pembelian selagi diskon besar-besaran dalam waktu terbatas.</span><span>Penelitian ini merupakan jenis penelitian kuantitatif dengan menggunakan analisis regresi dan korelasi. Sampel dalam penelitian ini adalah 85 responden yang diambil secara exsidental. Tujuan dari penelitian ini adalah 1)mengetahui apakah<em> </em></span><em><span lang="IN">Flash Sale</span></em><span lang="IN"> <em>Countdown timer</em> memiliki dampak pada minat beli konsumen</span><span>, 2)mengetahui apakah</span><em><span lang="IN"> Flash Sale</span></em><span lang="IN"> <em>Countdown timer </em>memiliki <em> </em>pada keputusan pembelian produk</span><span>. 3)mengetahui apakah</span><em><span lang="IN"> Flash Sale</span></em><span lang="IN"> <em>Countdown timer </em>memiliki dampak<em> </em>pada keputusan pembelian jika minat beli sebagai variabel intervening.</span><span> Hasil penelitian ini adalah </span><span> </span><em><span lang="IN">Flash Sale </span><span>C</span><span lang="IN">ountdown Timer</span></em><span>memiliki pengaruh yang signifikan terhadap minat beli konsumen. Kontribusi </span><em><span lang="IN">Flash Sale </span><span>C</span><span lang="IN">ountdown Timer</span></em><span><span>dalam menjelaskan minat beli adalah sebesar 33,76% dan sisanya 66,245 dijelaskan oleh variabel lain 2) </span></span><em>Flash Sale</em> <em>Countdown timer</em><em> </em>memiliki pengaruh yang signifikan terhadap keputusan pembelian. Dan Kontribusi <em>Flash Sale</em> <em>Countdown</em><em>timer </em>dalam menjelaskan keputusan pembelian sebesar 43,1% dan sisanya 56,9% dijelaskan oleh variabel lain. 3) <em>Flash Sale</em> <em>Countdown timer</em>pada keputusan pembelian dengan minat beli sebagai intervening memiliki pengaruh yang signifikan<p><strong>Kata Kunci:</strong> <em>Flash Sale</em> <em>Countdown timer</em><em>, </em>Minat Beli, Keputusan Pembelian.</p><p> </p><p><em>Flash Sale Countdown Timer is part of product promotion in online marketplaces such as tokopedia, shopee, lazada, usually at home, presenting goods in the form of flash sales that have been given massive discounts on certain products for a limited time. Flash Sale Countdown timer is a promotional service that leads consumers who visit online marketplaces to think quickly about making purchases while having massive discounts for a limited time. This research is a type of quantitative research using regression analysis and correlation. The sample in this study were 85 respondents who were taken exsidentally. 1) knowing whether the Flash Sale Countdown timer has an impact on consumer buying interest, 2) knowing whether the Flash Sale Countdown timer has on product purchasing decisions. 3) determine whether the Flash Sale Countdown timer has an impact on purchasing decisions if purchase intention is an intervening variable. The result of this research is the Flash Sale Countdown Timer has a significant effect on consumer buying interest. And the contribution of Flash Sale Countdown Timer in explaining purchase intention is 33.76% and the remaining 66.245 is explained by other variables 2) Flash Sale Countdown timer has a significant effect on purchasing decisions. And the Contribution of Flash Sale Countdowntimer in explaining purchasing decisions is 43.1% and the remaining 56.9% is explained by other variables. 3) Flash Sale Countdown timer on purchasing decisions with buying interest as intervening has a significant effect</em></p><p><em><strong>Keywords</strong>: Flash Sale Countdown timer, Purchase Interest, Purchase Decision</em></p>
Aplikasi sederhana untuk pengenalan aksara jawa diperlukan pada saat massive nya penggunaan aksara nasional. Aplikasi diperlukan untuk mengenali dan membaca karakter-karakter dari aksara jawa pada pesan-pesan yang diterima. Fitur dan metode yang sederhana untuk mengenali aksara jawa sangat diperlukan sehingga aplikasi dapat sewaktu-waktu melakukan pelatihan, dimana data pelatihan yang disediakan sedikit. Salah satu fitur sederhana yang tersedia adalah kode rantai. Permasalahannya adalah kode rantai merupakan untaian karakter, maka diperlukan pengukuran jarak yang sesuai, bukan pengukuran jarak yang umum digunakan pada OCR. Levenshtein Distance merupakan pengukuran jarak antara dua string. Sesuai dengan fitur yang dipilih, maka akan digunakan levenshtein distance untuk mengukur jarak dua buah kode rantai. Pada penelitian ini akan dibuktikan fitur kode rantai dengan pengukuran jarak menggunakan levenshtein distance mampu mengenali objek aksara jawa berdasarkan data pelatihan yang tersimpan. Metode klasifikasi yang dipergunakan adalah klasifikasi nearest-neighbor. Dipilihnya metode ini dimaksudkan agar mampu memberi informasi data pelatihan yang terdekat dengan objek yang ingin dikenali. Hasil penelitian menunjukkan fitur kode rantai dengan pengukuran jarak dengan levenshtein distance mampu mengenali fitur data pelatihan yang terdekat dengan fitur objek.
Images, that are currently circulating on the internet are many, such as advertising images for the promotion of products from a particular brand / institution, the image of the digital image, photographs of the works of famous photographers and many other examples. To identify each image appropriately, it can be added with a special logo or sign that is easily recognizable to the user. But the current advanced technology also supports duplication of the same logo / sign by irresponsible parties. Using the LSB and Grayscale methods, information such as text can be inserted into the watermark image that you want to use. Where there is a combination between the steganography process and the watermark process in one medium so that it can contain information visually and invisible. By using a stegowater application that incorporates stenographic and watermark processes, the user can use it to identify the authenticity of the image being processed, has been through the modification process or not.<br />Keywords: Image, Steganografi, Watermark
The process of determining vision in patients with myopia based on computer vision requires image frames containing pupil objects that are deemed to meet the requirements before entering the vision determination stage. Image frame requirements that are considered to meet the requirements are image frames that contain objects that are not too small or too large. The extraction of eye image frames in real-time results in eye image frames being captured by the camera when the eyes are blinking, so that they contain too small pupil objects. The process of determining the threshold value in binaryization of an eye image that is too large also results in pupillary objects blending with the shadows around the eye, resulting in objects that are too large. Small samples in eye image taking require treatment for statistical assessment with small samples. The small number of samples can be used to determine the feasibility of the image to enter the next process can be implemented using standard deviations. Standard deviation values can accommodate the need to limit the size range of pupil objects in the eye image that is considered feasible. The final result of this study is the implementation of the method of determining an image considered to have a pupil object of a size that is suitable for observation so that the interval is obtained according to the conditions of each set of eye images recorded by the camera during eye observation. The use of standard deviations in determining which images are considered feasible contributes to increasing the percentage of accuracy of eye vision assessment in the application of myopia vision determination in real time from 54% without standard deviation to 73% in the confidence value for an average one-time interval of 99% in the process of determining myopia vision . AbstrakProses penentuan visus pada penderita myopia berbasis computer vision memerlukan frame-frame citra yang berisi objek pupil yang dianggap memenuhi persyaratan sebelum masuk ke tahap penentuan visus. Persyaratan frame-frame citra yang dianggap memenuhi persyaratan adalah frame-frame citra yang berisi objek dengan ukuran yang tidak terlalu kecil ataupun terlalu besar. Pengambalian frame-frame citra mata secara real-time mengakibatkan adanya frame citra mata yang ditangkap kamera ketika mata sedang berkedip, sehingga berisi objek pupil yang terlalu kecil. Proses penentuan nilai ambang pada binerisasi citra mata yang terlalu besar juga mengakibatkan objek pupil berbaur dengan bayangan di sekitar mata, sehingga menghasilkan objek yang terlalu besar. Sampel yang kecil pada pengambilan citra mata memerlukan perlakuan untuk penilaian statistik dengan sampel kecil. Jumlah sampel yang kecil dapat untuk menentukan kelayakan citra untuk masuk proses selanjutnya dapat diimplementasikan menggunakan standar deviasi. Nilai standar deviasi dapat mengakomodasi keperluan membatasi rentang ukuran objek pupil pada citra mata yang dianggap layak. Hasil akhir dari penelitian ini adalah implementasi metode penentuan suatu citra dianggap memiliki objek pupil dengan ukuran yang layak untuk diobservasi sehingga didapatkan interval yang sesuai kondisi masing-masing set citra mata yang direkam oleh kamera pada saat observasi mata. Penggunaan standar deviasi pada penentuan citra yang dianggap layak berkontribusi menaikkan persentase ketepatan penilaian visus mata pada aplikasi penentuan visus myopia secara real time dari 54% tanpa standar deviasi menjadi 73% pada nilai confidence untuk interval satu rata-rata sebesar 99% pada proses penentu visus myopia.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.