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Journal : Jurnal Informatika Kesatuan

Real-time BISINDO Hand Gesture Detection and Recognition with Deep Learning CNN Damatraseta, Febri; Novariany, Rani; Ridhani, Muhammad Adlan
Jurnal Informatika Kesatuan Vol. 1 No. 1 (2021): JIKES Edisi Agustus 2021
Publisher : LPPM IBI Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jikes.v1i1.774

Abstract

BISINDO is one of Indonesian sign language, which do not have many facilities to implement. Because it can cause deaf people have difficulty to live their daily life. Therefore, this research tries to offer an recognition or translation system of the BISINDO alphabet into a text. The system is expected to help deaf people to communicate in two directions. In this study the problems encountered is small datasets. Therefore this research will do the testing of hand gesture recognition, by comparing two model CNN algorithms, that is LeNet-5 and Alexnet. This test will look for which classification technique is better if the dataset conditions in an amount that does not reach 1000 images in each class. After testing, the results found that the CNN technique on the Alexnet architectural model is better to used, this is because when doing the testing process by using still-image and Alexnet model data which has been released in training process, Alexnet model data gives greater prediction results that is equal to 76%. While the LeNet model is only able to predict with the percentage of 19%. When that Alexnet data model used on the system offered, only able to predict correcly by 60%. Keywords: Sign language, BISINDO, Computer Vision, Hand Gesture Recognition, Skin Segmentation, CIELab, Deep Learning, CNN.
Evaluasi Pengalaman Pengguna Aplikasi Hiip Indonesia Menggunakan Metode USE Questionnaire dan Usability Testing: Studi Kasus pada PT. Hiip Inovasi Indonesia Novariany, Rani; Kusuma, Rahma Djati
Jurnal Informatika Kesatuan Vol. 3 No. 2 (2023): JIKES Edisi September 2023
Publisher : LPPM IBI Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jikes.v3i2.2352

Abstract

With the rapid development of mobile applications, user experience has become crucial in ensuring success and user satisfaction. This research paper presents an evaluation of the user experience of the Hiip Indonesia application, with a focus on usability assessment and user satisfaction. The research methodology employs two main methods: the USE Questionnaire and Usability Testing. The USE Questionnaire is a validated and widely used tool for assessing user satisfaction, while Usability Testing involves observing user interactions with the application and collecting qualitative and quantitative data. The research findings indicate that the usability level of the Hiip Indonesia application falls into the "acceptable" category, with a total feasibility percentage of 73.91%. The hypothesis testing shows a significant influence on satisfaction between the variables of usefulness, ease of use, and ease of learning. However, on a partial level, only the variables of usefulness and ease of use significantly influence satisfaction. In contrast, the ease of learning variable does not have a considerable impact. Furthermore, the user experience evaluation data through task scenario testing indicates that the Hiip Indonesia application is highly effective to use, with a task completion success rate of 100% and an average task completion time of approximately 46.77 seconds. After reviewing the identified issues, recommendations for improvements to the Hiip Indonesia application have been formulated. Some of these recommendations include adding features to the "campaign" menu, adding a menu to the home screen, adding features to the "social media" menu, and adding features for chatting with administrators. Keywords: User experience, UX evaluation, USE Questionnaire, usability testing, mobile application, PT. Hiip Inovasi Indonesia.