Heriana, Octa
Indonesian Institute of Sciences

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Sistem Data Logger Lima Channel Input untuk Sensor Navigasi Kapal Maritim Heriana, Octa; Mulyadi, Heru Rahmat
Jurnal Elektronika dan Telekomunikasi Vol 14, No 2 (2014)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.52 KB) | DOI: 10.14203/jet.v14.61-66

Abstract

Sistem data logger telah banyak dikembangkan untuk berbagai keperluan perolehan data untuk melakukan proses monitoring dan akuisisi data. Penelitian ini adalah aplikasi data logger untuk pemrosesan lima data dari sensor-sensor navigasi pada suatu kapal maritim. Peralatan sensor navigasi kapal maritim di Indonesia sudah mendukung protokol komunikasi secara digital yang mengacu pada format standar komunikasi sensor kemaritiman National Marine Electronics Association (NMEA). Terdapat lima sensor navigasi yang digunakan sebagai standar minimal yang mendukung kapal maritim untuk dapat beroperasi di lautan, yaitu; sensor GPS, Gyrocompass, Echosounder, Weather dan Velocity. Penelitian ini mencoba untuk menampung lima buah data sensor yang berbeda, kemudian menggabungkannya dalam suatu variabel dengan susunan format data yang baru sebagai data output. Data output kemudian dikirimkan pada PC untuk diterjemahkan melalui software, dan data setiap sensor ditampilkan pada software aplikasi tersebut. Sistem ini dibangun dengan Arduino ATMega328 sebagai prosesor. Pengkondisi data input dibuat dengan kombinasi rangkaian IC 74LS08 dan IC 74LS32. Hasil penelitian ini adalah prototipe data logger yang menangani sejumlah lima data sensor dengan format standar NMEA dan satu output data sensor-sensor yang telah disusun dengan format tertentu, dengan tingkat akurasi saat pengiriman data sebesar 100% dan ekstraksi data pada software aplikasi display sebesar; 96% untuk sensor GPS, 97% untuk Gyro, 98% untuk Echosounder, 97% untuk Weather, dan 98% untuk sensor Velocity.
Comparison of Wavelet Family Performances in ECG Signal Denoising Heriana, Octa; Al Misbah, Ali Matooq
Jurnal Elektronika dan Telekomunikasi Vol 17, No 1 (2017)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.1-6

Abstract

The heart is considered the most important organ of our body that controls the circulation of blood throughout the body. Measured heartbeat signals can be further analyzed in order to know the health condition of a person. The challenge of ECG signal measurement and analysis is how to remove the noises imposed on the signal that is interfered from many different sources, such as internal noise in sensor devices, power line interference, muscle activity, and body movements. This paper implemented wavelet transform to reduce the noise imposed on the ECG signal to get a closely actual heart signal. ECG data used in this research are three digitized recorded ECG data obtained from MIT-BIH Arrhythmia Database. The first step is generating the noisy ECG signal as the input system by adding 1W WGN signal into the original ECG signal. Then DWT is applied to extract the noisy ECG signal. Some DWT’s parameters, threshold selection (rule, type, rescaling), decomposition level, and desired wavelet family are varied to get the best denoised output signal. All results are recorded to be compared. Based on the results, the best DWT parameter for ECG signal denoising is obtained by Symlet wavelet when the decomposition level is set to 3, with soft thresholding, in rigrsure thresholding rule.
Binary Template Matching for Morphological Dilation Enhancement in Navigation Radar Imaging Heriana, Octa; Praludi, Teguh; Wael, Chaeriah Bin Ali
Jurnal Elektronika dan Telekomunikasi Vol 18, No 2 (2018)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.60-66

Abstract

Radar imaging system is strongly influenced by other supporting systems. There is a motor system that provides angular information to the display system, and Digital Signal Processing (DSP) system that provides the main information for radar imaging. The new approach, we substitute a DC servo motor with a DC stepper motor as radar antenna rotator in our navigation radar system development. Different from the use of servo motors that can provide angle movements smoothly, the new motor system provides angle information of 0.56 degrees in every step, results in empty pixel gaps in every 0.56 degrees in radar Plan Position Indicator (PPI) image. The width of the empty pixel gaps becomes wider when the cell array of raw data is increasing regarding the image plotting process. In this paper, we proposed a new morphological dilation method to the radar raw data based on binary template matching to accommodate the various width of empty pixel gaps before the radar raw data are plotted into the radar PPI image. By this method, the morphological dilation will only be applied to the raw data that meet the same criteria as the binary template. Otherwise, the raw data will be left as they are. The result shows that there is 150.52% pixel data addition in the empty pixel gaps from the original image, and 48.44% increase of the morphological dilation without binary template matching method.