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Journal : Journal of Applied Research In Computer Science and Information Systems

Web-Based Application Development for Applying Research or Internship Cover Letters at Kalbis Institute Muhammad Hadits Alkhafidl; Yulia Ery Kurniawati
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 1 (2023): Juni 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i1.30

Abstract

This study aims to develop a web-based application for applying for research or internship cover letters at Kalbis Institute. The software development life cycle (SDLC) used the Rational Unified Process (RUP), and the software modelling used the Unified Modeling Language (UML). RUP has several phases. They are Business Modelling, Requirements, Analysis and Design, Implementation, Testing, and Deployment. The UML used a use case, activity, and class diagram. The application development used Visual Studio Code software with the PHP programming language. The results of this study are a web-based application for submitting research or internship cover letters for web admins and users. Web admin will be operated by academic operations while the users for students. All functional applications can run properly based on black box testing. The users, both academic operation administrators and students, agree that this application can help the administrators and students to process cover letters for research and internship at Kalbis Institute.
Development of An Application Transforming Handwriting into Digital Form using CNN Josulin, Claudio; Kurniawati, Yulia Ery
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.87

Abstract

This study aims to develop an application to recognize and predict handwriting using a Convolutional Neural Network (CNN) with ResNet50 architecture. The software development life cycle (SDLC) is an incremental model with two increments. The first increment is used to build the model, and the second increment is used to build the user interface. The data used in this study is handwritten images of Latin uppercase, Latin lowercase, and Arabian numerals with 62 classes. The training data used English Handwritten Characters by Dhruvil Dave from Kaggle Dataset. Data was trained and validated using k-fold cross-validation with tenfold and ten epochs for each fold. The model has an accuracy, precision, recall, and f1-score of 66.33%, 73.4%, 66.2%, and 66%, respectively. The functional application can work as expected based on the black box testing. The developed application can predict handwriting with up to 50% accuracy.