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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Electrician : Jurnal Rekayasa dan Teknologi Elektro Emitor: Jurnal Teknik Elektro
Kurniasari, Puspa
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Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Pengolahan Sinyal Isyarat Bahasa Menggunakan Sparse Sampling Pada Aplikasi Array Teknologi Radar Doppler Frekuensi Kerja X-band Kurniasari, Puspa; Saputra, Iwan Pahendra Anto; Sari, Melia
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 33, No 1 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v33i1p23-35

Abstract

Transmisi sinyal untuk pengiriman informasi dapat dipengaruhi derau dan interferensi dari perangkat dan penghalang sekitar objek (target) sehingga mempengaruhi lebar pita frekuensi transmisi sinyal. Metode pengolahan sinyal berperan penting untuk efisiensi lebar pita dan kecepatan saat transmisi sinyal. Sparse sampling sebagai metode tersebut digunakan pada penelitian ini untuk mengolah sinyal isyarat bahasa melalui gerakan tangan atau jari dengan aplikasi array teknologi radar Doppler frekuensi X-band dan dilakukan pengukuran kinerja sparse sampling dalam pengolahan sinyal isyarat. Pengukuran kinerja sinyal hasil sparse sampling dengan parameter Signal Noise to Ratio (SNR), Peak Signal Noise Ratio (PSNR) dan Mean Square Error (MSE). Hasil yang diperoleh untuk penggunaan array sejajar, sinyal isyarat bahasa ‘bahaya!’ dengan SNR 0,23472 dB, PSNR 31,184 dB, MSE 4,7484 % dengan amplitudo 79 V. Untuk pengujian dengan array radar Doppler frekuensi X-band dengan sudut 30o menghasilkan SNR 0,076566 dB, PSNR 33, 2933 dB dan MSE 1,2047 % di amplitudo 50,7 V untuk sinyal isyarat bahasa ‘saya’. Berdasarkan hasil yang diperoleh, kinerja sparse sampling pada sinyal isyarat ini telah dapat bekerja untuk optimalisasi kinerja sistem radar Doppler frekuensi X-band.
Kinerja Pengolahan Sinyal Gerakan Tanda Isyarat Melalui Compressive Sampling Untuk Teknologi Radar Doppler Dengan Long Range Kurniasari, Puspa
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 2 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n2.2422

Abstract

Design and Development of a Mobile-Based Application Path Planning System for Autonomous Electric Vehicles with Ant Colony Optimization Algorithm Sari, Melia; Windi Sari, Desi; Kurniasari, Puspa
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.13101

Abstract

The rapid advancement of technology has generated numerous innovations across various domains, including transportation. One notable development is the autonomous vehicle, a driverless system capable of navigating to a designated destination without human intervention. This study emphasizes two critical aspects: navigation and efficient path planning. The objective is to design and develop a mobile application for optimal path planning based on the Ant Colony Optimization (ACO) algorithm. The application was developed using Visual Studio Code as the integrated development environment (IDE) and implemented under the waterfall software development model. The ACO algorithm served as the core mechanism for path determination, supported by the Google Maps API to provide spatial data required for processing. Additionally, Firebase was employed for user authentication—such as registration and login—and for storing trip history. Testing results indicate that the developed mobile application successfully operates according to its intended functions. In particular, the system demonstrates the capability to determine the shortest path effectively through the implementation of the Ant Colony Optimization algorithm. These findings suggest that the proposed approach can support advancements in autonomous vehicle navigation systems by offering efficient and reliable path planning solution
Co-Authors Melia Sari, Melia Saputra, Iwan Pahendra Anto Windi Sari, Desi