2023-09

Engineering, Technology & Applied Science Research (ETASR) (Issue : 5) (Volume : 13)

The field of finance makes extensive use of real-time prediction of stock price tools, which are instruments that are put to use in the process of creating predictions. In this article, we attempt to predict the price of Bitcoin in a manner that is both accurate and reliable. Deep learning models, as opposed to more traditional methods, are used to manage enormous volumes of data and to generate predictions. The purpose of this research is to develop a method for predicting stock prices using the Hybrid Convolutional Recurrent Model (HCRM) architecture. This model architecture integrates the advantages of two separate deep learning models: The 1-Dimensional-Convolusional Neural Network (1D-CNN) and the Long-Short Term Memory (LSTM). The 1D-CNN is responsible for the feature extraction, while the LSTM is in charge of the temporal regression. The developed 1D-CNN-LSTM model has an outstanding performance in predicting stock values.

2023-07

Journal of Technology and Informatics (JoTI) (Issue : 1) (Volume : 5)

The management of the financial budget of universities is an extremely complex task due to having numerous different documents and calculation processes. In many developing regions and countries including the Kurdistan Region of Iraq, budget execution and accounting processes are manual. This had deleterious effects on the functioning of their expenditure and income management. This research represents the design and implementation of a responsive web-based system for controlling the financial budget of universities. This system can improve the recording and processing of financial transactions. Moreover, it traces all the stages of the transaction processing from budget releases, does auditing, and accounting of expenditures, incomes, deposits, and funds. Furthermore, it provides financial information on present and past performance. The system is a responsive web-based system, which adjusts the layout of the pages based on the screen size and orientation of the user's device. The system was implemented by using programming languages such as HTML, PHP, JavaScript, jQuery, AJAX, and MySQL. Finally, the provided system needed to be investigated from the performance point of view. Therefore, a questionnaire was used to determine the system’s usability by using the System Usability Scale (SUS) tool. The results revealed that a score of 86.250% of satisfaction has been achieved.

2023-03

Journal of Electrical Systems and Information Technology

The management of employees' salaries is an extremely complex task and time-consuming job due to having a large volume of payroll data and calculations. In many developing regions and countries including the Kurdistan Region of Iraq, the accounting processes of salary are manual. This leads to low speed in the calculation processes of deductions and allowances, easy making errors, difficulty to maintain salaries of previous months, low efficiency, and delay in generating reports. This paper represents the design, implementation, and evaluation of a web-based payroll management system (WPMS). This system can calculate the salary of every employee per month and annum efficiently and effectively. Moreover, it can keep the records of employees’ data including their pay, allowances, and deductions on monthly bases in the data mart. Additionally, the system can speedily and automatically generate employees’ payslips, accurate reports, and detailed statistics. Furthermore, WPMS provides a user-friendly environment and enables users to easily access, update, and delete data. The system was implemented by using programming languages: HTML, PHP, JavaScript, jQuery, AJAX, and MySQL. To conclude, the system was investigated for its usability by using the system usability scale tool. The results achieved an 87.8% score of usability satisfaction.