Article Per Year (5 Year)
p-Index From 2019 - 2024
0.562
P-Index
This Author published in this journals
All Journal REKAYASA Jurnal Inovatif
Remi Senjaya
Universitas Gunadarma
Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Engineering Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Designing UI/UX Reservation Application Savero Hotel Depok With Design Thinking Method Using Figma Remi Senjaya; Dhian Sweetania; MS. Herawati; Puji Sularsih; Ari Rosemalatriasari
INOVA-TIF Vol 6 No 1 (2023)
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inova-tif.v6i1.9331

Abstract

One thing that needs to be considered to develop a good application is to design the UI and UX according to the needs of the users themselves. The activity of a Savero Hotel Depok Reservation application product designed to provide convenience facilities for customers with a fast Hotel Reservation information service so that users who are out of town who want to book Hotel Rooms can now take advantage of technology to order online using the Application/Website. The process for generating new innovative ideas in the development of new application products uses a user-centered approach known as Design Thinking which is an approach or method of problem solving both cognitively, creatively and practically to answer human needs as users. Design thinking always starts with empathy. That is, exploring the perspectives, feelings and experiences of users to understand their needs, then looking for solutions through broad thoughts or ideas to find the best solution and tested to ensure the solution is truly effective in solving the problem. The final result of this research is to design the UI/UX Design of the Savero Hotel Depok Reservation Application with the Design Thinking Method using Figma to create an attractive and User Friendly Design appearance which can be seen in the Prototype testing results using maze getting a score of 88%, and the results table of the analysis questionnaire Usability Testing data gets a score of 82.3%.
Pembelajaran Mendalam Pengklasifikasi Ekspresi Wajah Manusia dengan Model Arsitektur Xception pada Metode Convolutional Neural Network Purnawarman Musa; Wahid Khairul Anam; Saiful Bahri Musa; Witari Aryunani; Remi Senjaya; Puji Sularsih
Rekayasa Vol 16, No 1: April 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i1.16974

Abstract

Deep learning is a neural network that creates innovations that give computer-implanted problem-solving expertise. One of the principles of computer vision is a detection system with a vision framework that can identify things encountered in the same manner as a human vision system. Using an artificial intelligence-based Convolutional Neural Network (CNN) model with deep learning techniques, we present a face emotion identification system. The categorization of facial expressions will be utilized as the basis for a face recognition system trained using CNN. The applications are intended to use the OpenCV, Keras, and TensorFlow libraries as the backend. We were discussing the study on the best use of xception architectural models in facial expression recognition systems. Based on the results of these tests, the study obtained an increased accuracy value in training and data testing on an xception architecture model trained for facial expressions using the FER-2013 dataset, resulting in an accuracy value of 66% as well as the value of each average for precision (76%), recall (65%), and F1 score (63%).
Co-Authors Ari Rosemalatriasari Dhian Sweetania Musa, Purnawarman Puji Sularsih Saiful Bahri Musa Wahid Khairul Anam Witari Aryunani