Yunianita Rahmawati’s scientific contributions

Perkembangan teknologi yang cepat telah menuntut pengembangan alat untuk memperlancar transportasi perkotaan, khususnya dalam mengatasi masalah umum kebingungan rute bus di Sidoarjo. Studi ini berfokus pada aplikasi realitas tertambah (AR) di halte bus yang dirancang untuk mengatasi masalah penumpang yang naik bus salah, situasi yang sering menyebabkan pemborosan waktu yang signifikan. Menggunakan metode Siklus Hidup Pengembangan Multimedia (MDLC), yang mencakup tahapan Konsep, Desain, Pengumpulan Material, Perakitan, Pengujian, dan Distribusi, penelitian ini mengembangkan alat AR yang memungkinkan penyebaran informasi rute lebih jelas dan cepat kepada para pendatang. Efektivitas aplikasi ini dievaluasi melalui kuesioner, menghasilkan skor memuaskan 765 dari 900, yang sesuai dengan tingkat persetujuan 85%. Temuan menunjukkan bahwa aplikasi AR secara signifikan membantu pengguna dalam memilih rute bus yang benar, sehingga meningkatkan efisiensi penggunaan transportasi umum. Implikasi dari studi ini mendukung integrasi teknologi AR di halte bus untuk meningkatkan pengalaman penumpang dan efisiensi operasional dalam sistem transportasi umum perkotaan.

This research discusses optimizing the application of the Convolutional Neural Network (CNN) algorithm to overcome the problem of mixing fresh and non-fresh beef on the market. The focus of the research is classification of freshness levels in beef images using the CNN method with ADAM optimizer. Data collection involves open and private data. Image preprocessing is done with LabelEncoder and cv2. The research results show that this method is very effective in identifying and classifying the level of freshness in beef images. By determining optimal parameters, the model achieved the highest accuracy level of 98.50% at 10 epochs and a learning rate value of 0.001. Confusion matrix shows good results with a high number of True Positives. By applying CNN with the ADAM optimizer, it provides an effective solution to the problem of classifying beef freshness levels because this model is able to classify beef images well.

Bandung is a must-visit tourist destination, including those around the Paupati Bridge. The Pasupati Flyover or Pasupati Bridge is an icon of Bandung City. Because of its cool and original location, there is also an ancient building making Bandung interesting to visit and be introduced to its tourism field. One method for propelling the travel industry is with special media. By using Increased Reality (AR)- based data innovation, it can show 3D virtual articles into a genuine climate and construct 3D picture representations. AR can be utilized as an option limited time medium that assists clients with getting more clear data about the fascination they need to visit. This research aims to promote tourism with Augmented Reality using the Multimedia Development Life Cycle (MDLC) Method. The results of this study are Information and 3D images of tourism in which there is a 3D import feature to include images. It can contribute to helping tourists search for information about tourism in an area.

Aquascape is the art of arranging plants in water. The large number of complaints from aquascape buyers were not up to expectations, causing sellers to have difficulty in setting an example of an orderable aquascape, so researches created an aquascape application system to increase their promotional activities with augmented reality technology accessible through smartphone. One uses the methode MDLC (Multimedia Development Life Cycle). As a result, the application can implement a markless augmented reality to display 3D objects in real time with the help of a camera on a smartphone or a trilib feature by importing 3D object files found on file managers on a smartphone. User can easily provide the desired aquascape example of the aquascape application.