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Pengenalan Computational Thinking untuk Guru-guru di Kabupaten Purwakarta Rizki Hikmawan; Dian Permata Sari; Suprih Widodo; Dimas Setiawan; Muhammad Irwan Ramadhan; Sadam Fauzi
Jurnal Pengabdian Pada Masyarakat Vol 6 No 2 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202162.537

Abstract

COMPUTATIONAL THINKING INTRODUCTION FOR TEACHERS IN PURWAKARTA. The changing needs of the industrial world must always be responded quickly by the world of education. The needs of the industrial world change along with technological developments. Currently, the industry has entered the 4.0 era or better known as the digital industry. Today’s society only views computers only as tools, not as a science to educate, even negative when viewed from media notifications that report many cases of technology abuse. This causes parents to tend to limit their children’s use of technology. If children who incidentally are the future of the nation are limited or even prohibited from using technology, of course Indonesia will not be able to compete in the digital era of industry. This mindset must be straightened out, that the computer is not only a tool but also a benchmark for thinking patterns. Community service activities will take place in Purwakarta district in the form of counseling and learning Computational Thinking. Beginning with a face-to-face seminar with lecture learning methods, and questions and answers. After the teachers received counseling, then we facilitated their students to test their computational thinking skills through the Bebras Challenge, in collaboration with the NBO Bebras Indonesia.
Perancangan Deteksi Emosi Manusia berdasarkan Ekspresi Wajah Menggunakan Algoritma VGG16 Suprih Widodo; Dimas Setiawan; Taufik Ridwan; Rifqi Ambari
SYNTAX Jurnal Informatika Vol 11 No 01 (2022): Mei 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i01.6594

Abstract

Machine Learning merupakan bagian dari kecerdasan buatan yang banyak digunakan untuk memecahkan berbagai masalah khususnya di domain Computer Vision. Salah satu kajian di bidang ini adalah deteksi emosi yang menjadi salah satu kajian yang paling kompleks dan menantang. Besarnya variasi yang disebabkan oleh perubahan dalam penampilan wajah, pencahayaan dan ekspresi wajah itu sendiri. Dalam penelitian ini, riset yang dilakukan adalah mempelajari lebih lanjut perihal deteksi emosi manusia berdasarkan ekspresi wajah menggunakan Algoritma Convolutional Neural Network dimana data yang digunakan untuk proses training data berupa sampel citra dari dataset FER 2013. Metode pengembangan perangkat lunak menggunakan framework AI Project Life Cycle. Arsitektur dari Convolutional Neural Network yang akan digunakan yaitu VGG 16 dengan pendeteksian wajah menggunakan Metode MTCNN.
Co-Authors Dian Permata Sari Hikmawan, Rizki Muhammad Irwan Ramadhan Rifqi Ambari Sadam Fauzi Taufik Ridwan, Taufik