Iustisia Natalia Simbolon
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Perancangan Dan Evaluasi Usability User Interface Aplikasi Cemilanpuas Berbasis Website Iustisia Natalia Simbolon; Deny Ramadhan Pane; Aryanti Verina Putri Siregar
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 2 No. 1 (2024): MARET : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v2i1.1718

Abstract

User-centered design methods are used to identify user needs, analyze usage contexts, and design interfaces that are intuitive and easy to use. In this study, data collection was carried out through interviews with Cemilanpuas stakeholders and prospective users. Based on the data obtained, the researcher formulates user requirements and creates a solution design in the final form of a prototype. After the design is complete, usability evaluation is carried out using the Think Aloud method. Evaluators are directed to complete a series of tasks that represent common activities in using the Cemilanpuas application. During the test, the constraints and difficulties encountered by the evaluator were recorded both verbally and non-verbally. The results of the usability evaluation contain the advantages and disadvantages of the user interface which are grouped based on the five usability points. Based on these findings, improvements were made with a minimum of two iterations. Measuring the value of user satisfaction has a grade B final result of 87.5. This research makes an important contribution in understanding user needs and improving the usability of the website-based Cemilanpuas application. The results of this study can be used as a guideline for the development and improvement of the user interface of similar applications in the future.
ANALYSIS AND IMPLEMENTATION OF YOLOV7 IN DETECTING PIN DEL IN REAL-TIME Iustisia Natalia Simbolon; Lumbanraja, Daniel Fernandez; Tampubolon, Kristina
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1286

Abstract

Real-time object detection is the process of identifying and tracking objects instantly and directly without any delay between image input and output. Carrying out real-time detection is a challenge in detection systems because it requires speed and accuracy of detection. This research proposes the application of the YOLOv7 algorithm which allows object localization and classification in one stage. This detection is carried out in real time on two objects, namely PinDel and Students. This research focuses on applying the YOLOv7 algorithm to detect real-time use of Pin Del by students. In this research, several hyperparameters were adjusted until the optimal value was found, including epoch with a value of 300, as well as confidence threshold, and IoU threshold with a value of 0.5. The model evaluation results from hyperparameter experiments show good results, with precision of 0.946, recall of 0.959, and mAP@0.5 of 0.977. This research has succeeded in detecting Pin Del objects in real time by obtaining a detection speed of between 7 and 40 FPS, which shows a fast response in detecting objects in real time. This research has contributed to the development of real-time object detection technology and its application in Pin Del use cases by students.