Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal Of Artificial Intelligence And Software Engineering

Usability Testing Analysis of Bank Aceh Mobile Action Applications Using Human Centered Design and Heuristic Evaluation Methods Amalia, Fatihah Indah; Fitria, Rahma; Ulva, Ananda Faridhatul
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of the efforts to improve regional digital banking services is through the development of Bank Aceh Syariah's Action Mobile application. This application is designed to facilitate customers in conducting various transactions online, such as transfers, payments, and mutation checks. However, despite being available on the Google Play Store and receiving favorable ratings, the usage of this application is still relatively low compared to other regional banks' mobile banking applications. Some of the problems found are related to user experience, including limited e-commerce payment features and digital wallet top-up services that only support certain platforms such as OVO, GoPay, and LinkAja. In addition, the information displayed in the transaction mutation section is also considered incomplete, resulting in complaints from users. This problem has the potential to hinder comfort in using the application and affect the level of customer satisfaction. To overcome these challenges, an evaluation of the application's usability was conducted using the Human Centered Design approach and the Heuristic Evaluation method. The evaluation involved users and experts who provided feedback based on Nielsen's ten heuristic principles. The results showed some weaknesses in the application design, such as navigation that was not fully intuitive, information delivery that was not clear, and inadequate service features. Based on these findings, a solution was designed in the form of a new application prototype that was more responsive and user-friendly. The design was carried out using the Figma application, focusing on improving the interface and adding the required features. With these improvements, it is expected that Action Mobile Bank Aceh Syariah can be more competitive in the midst of the rapid development of digital banking services. This technology is also part of a strategic step in supporting digital banking transformation in the region, as well as increasing customer satisfaction and loyalty.
Optimisation of Employee Attendance System Using Face Recognition and Geotagging Based on Mobile Android Fitria, Rahma; Sahputra, Ilham; Maulana, Riki
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6892

Abstract

The growth of technology is developing very rapidly in various fields, ranging from industry, offices, government, to education. One interesting innovation is the application of facial recognition to an Android-based attendance system. This system allows attendance to be carried out by scanning employee faces using Android devices in certain areas such as offices or companies. By using this technology, the attendance process which is usually done manually or using fingerprints can be optimized, thereby reducing the risk of long queues when employees are present together. In some offices, attendance is still done manually by filling in attendance books or using fingerprints. This method often causes problems, especially when many employees come at the same time. The queues that form will of course interfere with their productive time. Therefore, to overcome this problem, an Android-based attendance application is needed that integrates facial recognition technology. This application is designed so that it can only be accessed in an office environment, with certain area coverage settings. This study uses the Convolutional Neural Network (CNN) algorithm which is effective for image processing in facial recognition. In addition, researchers also apply the GPS Locking or Geotagging method to ensure that attendance can only be carried out in predetermined areas, thereby increasing the security and accuracy of attendance data. The dataset used in this study consists of facial images, where each individual is photographed in five different angles to improve the accuracy of the system. The results of this study are expected to create a more efficient and effective attendance system. By simplifying the attendance process, this technology not only saves time but also increases employee satisfaction, because they no longer have to face long queues. This is a step forward in utilizing technology to improve human resource management in the digital era.