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All Journal KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Henry Septanto
Institut Teknologi dan Bisnis Kalbis
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Pengembangan Model Pendeteksian Gambar Alat Musik dengan Metode Faster R-CNN dengan Library Keras Ivan Septian; Henry Septanto
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This research discusses developing a musical instrument image detection application with a frcnn library method. The purpose of this study is to detect types of musical instruments using the fastest R-CNN as a method of detecting objects. The problem with using RCNN is the length of time of computing. It takes about a minute to process the image data, so the training process will take a very long time. Therefore, researchers use the fastest r-cnn method to get the output quickly.
Pembangunan Aplikasi Pemesanan Gas Elpiji Online Berbasis Android Muhammad Irfan Nurhakim; Henry Septanto
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this research is to make the order application design of gas LPG that can give periodically information about availability of gas stock on interface application and it can rapidly manage order data, because there is notification that announce to user application when gas was ordered. The development system of this application uses development method Rational Unified Process (RUP) with uses system modeling Unified Modelling Language (UML) and implementing the Firebase Cloud Messaging service for sending notifications when there is information on gas ordering activity, notifications received by the user whether the application is closed or open. In addition, application users can view the history of successful or failed order transactions. The final result that obtained from this research is an online LPG gas ordering application based on android.
Co-Authors Ivan Septian Muhammad Irfan Nurhakim