A Review of Feature Selection and Classification Approaches for Heart Disease Prediction

Cardiovascular disease has been the number one illness to cause death in the world for years. As information technology develops, many researchers have conducted studies on a computer-assisted diagnosis for heart disease. Predicting heart disease using a computer-assisted system can reduce time and costs. Feature selection can be used to choose the most relevant variables for heart disease. It includes filter, wrapper, embedded, and hybrid. The filter method excels in computation speed. The wrapper and embedded methods consider feature dependencies and interact with classifiers. The hybrid method takes advantage of several methods. Classification is a data mining technique to predict heart disease. It includes traditional machine learning, ensemble learning, hybrid, and deep learning. Traditional machine learning uses a specific algorithm. The ensemble learning combines the predictions of multiple classifiers to improve the performance of a single classifier. The hybrid approach combines some techniques and takes advantage of each method. Deep learning does not require a predetermined feature engineering. This research provides an overview of feature selection and classification methods for the prediction of heart disease in the last ten years. Thus, it can be used as a reference in choosing a method for heart disease prediction for future research

Perancangan dan Pembuatan Website Pengambilan Ide Skripsi Pada Prodi Teknik Informatika UMY

In the Kamus Besar Bahasa Indonesia (KBBI), Idea is a design arranged in mind. The thesis idea is a design that can come from thought of student and lecturer. In the Informatics Engineering Department at  Muhammadiyah University of Yogyakarta, thesis idea is often offered to student by several lecturers through social networking forums or instant messaging. Thesis ideas was offered through social networking forum or instant messaging can be covered by other content quickly, thus  the information was not delivered to students who need a thesis idea optimally . The effect was some students were still confused to get thesis ideas and lecturers who had thesis ideas did not know that there were still students whom needed the idea. To overcome this case, a website-based thesis idea taking system was built to help students to get information and to take thesis ideas which was given by lecturers. In building or repairing a website, Researcher used the waterfall method. Using this method, website development will be more organized. Website development used PHP programming language with CodeIgniter framework. Researcher Tested through three steps, i.e. user interface, functionality and validation testing

Model E-Learning Pelajaran Baca Al-Qur’an Berbasis Teknologi Speech Recognition

Seiring perkembangan teknologi saat ini yang sudah semakin canggih, sehingga perkembangan tersebut dapat membawa berbagai manfaat yang signifikan bagi kehidupan manusia. Melalui kemudahan yang ditawarkan oleh perkembangan teknologi mengakibatkan terjadinya integrasi di berbagai bidang, salah satunya pada bidang pendidikan dan teknologi. Pemanfaatan teknologi pada bidang pendidikan salah satunya adalah pemanfaatan E-learning, yang menyebabkan kemudahan dalam belajar mengajar. Ulala merupakan media pembelajaran E-learning dengan menerapkan LMS, SCORM dan speech to text sebagai model pembelajaran baca Al-Qur’an diharapkan mampu menjadikan pembelajaran yang Asinkron sehingga guru dan peserta didik berkomunikasi. &nbsp