Nabilah Argyanti Ardyningrum, Abdul Rohman, Elvira Sania Mufida, Naufal Nafidiin, Widiareta Safitri, Mustika Mentari
The COVID-19 pandemic has changed the way people do activities, including learning and teaching activities. The learning and teaching process during the pandemic is carried out online where teachers and students need certain technologies such as the WhatsApp application, one of the conversation applications is the choice of teachers and students in the learning process because it is considered effective and easy to use in discussing, sending materials, and sending student answers. However, it is not uncommon for photos sent via WhatsApp to have a low resolution, making it difficult for teachers to correct and students to understand the material. From these problems, an intelligent assignment management system will be made that integrates the feature of collecting tasks collected in the form of photos with handwriting text detection into digital text. This application utilizes the text conversion process with Handwriting Text Recognition. In Handwriting Text Recognition, there are six stages that must be carried out starting from preprocessing, segmentation, normalization, feature extraction, classification, and transcription. With the development of this CEBAN (Cek dan Koreksi Jawaban / Check and Correction Answers) Android application, handwriting on images or photos will be easily converted into digital text which is then used by teachers or correctors easily in reading student answers who collect assignments, especially pictures. This of course will shorten the correction time because the text in digital form is no longer in the form of photos or images which most likely have different resolutions, different types of handwriting, and image clarity which will make it difficult for teachers to correct answers. © 2021 IEEE.
State Polytechnic of Malang, Information Technology Department, Malang, Indonesia