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Buletin Ilmiah Sarjana Teknik Elektro
Published by Universitas Ahmad Dahlan
ISSN : 26857936     EISSN : 26859572     DOI : 10.12928
Core Subject : Engineering,
Electrical & Electronics Engineering
Buletin Ilmiah Sarjana Teknik Elektro (BISTE) adalah jurnal terbuka dan merupakan jurnal nasional yang dikelola oleh Program Studi Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan. BISTE merupakan Jurnal yang diperuntukkan untuk mahasiswa sarjana Teknik Elektro. Ruang lingkup yang diterima adalah bidang teknik elektro dengan konsentrasi Otomasi Industri meliputi Internet of Things (IoT), PLC, Scada, DCS, Sistem Kendali, Robotika, Kecerdasan Buatan, Pengolahan Sinyal, Pengolahan Citra, Mikrokontroller, Sistem Embedded, Sistem Tenaga Listrik, dan Power Elektronik. Jurnal ini bertujuan untuk menerbitkan penelitian mahasiswa dan berkontribusi dalam pengembangan ilmu pengetahuan dan teknologi.
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Articles 22 Documents
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Search results for , issue "Vol. 5 No. 4 (2023): December" : 22 Documents clear
Design of PIFA Antenna Using Systematic Tuning for Long Range Communication Sabila, Liya Yusrina; Prakoso, Teguh; Riyadi, Munawar Agus
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9844

Abstract

Communication with a wireless system is one of the mainstays of communication so that communication integration is achieved. In this application, of course, an antenna is needed to send information waves to the receiver. It is also hoped that the antenna can be integrated with other components into an integrated system. There are several challenges that need to be answered to make this happen. Namely, the size of the antenna is small and the shape of the antenna can adjust to the shape of the object being integrated, for example a circle or cylinder shape. The antenna chosen to realize this challenge is the Planar Inverted F Antenna (PIFA). PIFA antennas are widely used in communication devices because their shape and size can be adjusted to the dimensions of the device. The technique used to create curved shapes is a conformal technique. To streamline the antenna design steps, the system tuning method is applied when simulating the design. The results achieved use a system tuning method which can reduce the experimental steps to just 6 experimental steps. The antenna designed works in the frequency range 916.9 – 933 MHz, the resonant frequency of 925.6 MHz with S11 is -12.5 dB, bandwidth 16.1 MHz, and the radiation pattern is omnidirectional.
Image Classification of Wayang Using Transfer Learning and Fine-Tuning of CNN Models Banjaransari, Muhammad; Prahara, Adhi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9977

Abstract

Wayang (shadow puppetry) is a traditional puppetry used in a performance to tell a story about the heroism of its main characters. Wayang has gained recognition as a cultural masterpiece by UNESCO. However, this cultural heritage now declining and not many people know about wayang. One of the solutions is using computer vision technology to classify wayang images. In this research, a transfer learning approach using Convolutional Neural Network (CNN) models namely MobileNetV2 and VGG16 followed by fine-tuning was proposed to classify wayang. The dataset consists of 3,000 images divided into 30 classes. This data is split into training and test data that are utilized for training and evaluating the model. Based on the evaluation, the MobileNetV2 model achieved precision, recall, F1-score, and accuracy of 95%, 94%, 94%, and 94.17%, respectively. Meanwhile, the VGG-16 model obtained 93% for all metrics. It can be concluded that transfer learning and fine-tuning using the MobileNetV2 model produces the best result in classifying wayang images compared to the VGG16 model. With good performance, the proposed method can be implemented on mobile applications to provide information about wayang from the captured images, thus indirectly supporting the preservation of cultural heritage in Indonesia.

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