Playing games for too long can be addictive. Based on a recent study by Brand et al, adolescents are considered more vulnerable than adults to game addiction. The activity of playing games produces a wave in the brain, namely beta waves where the person is in a focused state. Brain wave activity can be measured and captured using an Electroencephalogram (EEG). Recording brain wave activity naturally requires a prominent and constant brain activity such as when concentrating while playing a game. This study aims to detect game addiction in late adolescence by applying Convolutional Neural Network (CNN). Recording of brain waves was carried out three times for each respondent with a stimulus to play three different games, namely games included in the easy, medium, and hard categories with a consecutive taking time of 10 minutes, 15 minutes, and 30 minutes. Data acquisition results are feature extraction using Fast Fourier Transform to get the average signal for each respondent. Based on the research conducted, obtained an accuracy of 86% with a loss of 0.2771 where the smaller the loss value, the better the CNN model built. The test results on the model produce an overall accuracy of 88% with misclassification in 1 data. The CNN model built is good enough for the detection of game addiction in late adolescence.
Konferensi merupakan pertemuan yang bertujuan untuk bertukar pendapat mengenai suatu masalah yang dihadapi bersama. Dengan adanya perkembangan teknologi membuat manusia berfikir untuk dapat bekerja lebih efektif dan efisien. Salah satunya yaitu membuat sistem konvensional menjadi sistem yang terkomputerisasi. Dengan memanfaatkan fasilitas website yang terhubung ke internet, pihak penyelenggara konferensi dapat lebih efektif untuk melakukan penyebaran informasi, registrasi, submisi, dan kegiatan lain yang berhubungan dengan konferensi.Pentingnya pengukuran kualitas pada website menjadi tolak ukur dalam meningkatkan kinerja sesuai dengan visi dan misi dari penerapan website. Pada penelitian ini, penulis merancang sistem informasi pada konferensi internasional berbasis website. Metodologi pengembangan website yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC). Metode pengujian kualitas website menggunakan 4 metode pengujian, diantaranya Alpha Test, SUS, UAT, dan UEQ. Sistem ini menghasilkan sistem informasi konferensi internasional berbasis website yang bekerja dengan baik dengan hasil pengujian alpha test sebesar 92%, menampilkan informasi yang sesuai dengan hasil pengujian SUS sebesar 73%, dapat diterima masyarakat dan layak ditunjukkan dari hasil pengujian UAT sebesar 75%, dan pengujian User Experience (UX) mendapatkan penilaian yang masuk ke dalam kategori “baik” dari hasil pengujian UEQ.
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