DOI: https://doi.org/10.14710/jtsiskom.2020.13868

Analisis Penerapan Filter Wiener pada Segmentasi Pola Fluktruasi Spektral

Analysis of the Wiener Filters Application to the Spectral Fluctuation Patterns Segmentation

*Melinda Melinda scopus  -  Universitas Syiah Kuala, Indonesia
Elizar Elizar  -  Universitas Syiah Kuala, Indonesia
Yunidar Yunidar  -  Universitas Syiah Kuala, Indonesia
Muhammad Irhamsyah  -  Universitas Syiah Kuala, Indonesia
Received: 18 Aug 2020; Revised: 20 Nov 2020; Accepted: 27 Nov 2020; Published: 31 Jan 2021; Available online: 7 Dec 2020.
Fulltext
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract
The Wiener filter is an adaptive filter that can be used to produce the desired estimates. Besides, this filter can also suppress noise in digital signal processing. In this study, we will segment the fluctuation pattern, which results from data acquisition from a capacitive sensor with the object H2O. The fluctuation pattern to be processed is the HF (High Fluctuation) fluctuation pattern by dividing the pattern into several segments according to the input frequency. This aims to see in more detail and clearly the state of each segmentation of the pattern. The results will show noise attenuation and suppression after filtering with a Wiener filter. The SNR (Signal to Noise Ratio) value will also be analyzed, which shows that the signal quality is getting better after applying the Wiener filter. Then, the analysis of the MSE (Mean Square Error) results can provide more consistent results with a smaller average error.
Keywords: Multi-Spectral; Flutuation; Noise; Wiener Filter
Funding: Universitas Syiah Kuala under contract No. 118/UN11.2.1/PT.01.03/PNBP/2020.

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Statistics: 88
Share:
Related articles
Segmentation of university customers loyalty based on RFM analysis using fuzzy c-means clustering Watermelon ripeness detector using near infrared spectroscopy Recites fidelity detection system of al-Kautsar verse based on words using mel frequency cepstrum coefficients and cosine similarity Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model More related articles
Most cited articles
Parallel Spatial Pyramid Convolutional Neural Network for Kinship Verification from Face Images Decision Support System for Thesis Graduation Recommendation Using AHP-TOPSIS Method Location Based Service Panduan Pencarian Rumah Sakit dengan Platform Android di Kota Semarang Identification of Herbal Medicinal Plants Based on Leaf Image Using Gray Level Co-occurence Matrix and K-Nearest Neighbor Algorithms Pengembangan Permainan Edukatif Ragam Budaya Nusantara Berbasis Android More cited articles
  1. Melinda, A. S. Tamsir, Basari, and D. Gunawan., “Performance of Consistency Parameters Analysis Using Fourier and Wavelet Transform on Multi Spectral Fluctuation Signal‖.”, 1st IEEE International Conference on Electrical Engineering and Informations (ICELTICs)., 18- 20 Oktober 2017, Banda Aceh, Indonesia(Accepted). 2017
  2. Y. Shouqi, N. I. Yongyan, P. A. N. Zhongyong, and Y. Jianping, “Unsteady Turbulent Simulation and Pressure Fluctuation Analysis for Centrifugal Pumps”,‖, Chinese Journal Of Mechanical Engineering, vol. 22, no.1, pp. 64–69, 2009
  3. H. Pan and M. Bu, “Pressure Fluctuation Signal Analysis of Pump Based on Ensemble Empirical Mode Decomposition Method”,‖ Water Science and Engineering, vol. 7, no. 2, pp. 227–235, 2014
  4. M Melinda, A. S, Tamsir “Comparative Analysis of Material Fluctuation Response based on Data Set Groups”, International Conference on Electrical Engineering and Informatics (ICELTICs 2017) October 2017, Banda Aceh, Indonesia, ISSB: 978-1-5386-2934-5, pp: 263-268
  5. Melinda, A. S. Tamsir, Basari, and D. Gunawan., “Analysis of Consistence Level Using New Method of Statistical Transformation Approach in Multi Spectral Fluctuation Pattern”., 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 25-27 November 2016, Penang, Malaysia, pp: 251- 255
  6. Melinda, A. S. Tamsir, Basari, and D. Gunawan., “Performance of Consistency Parameters Analysis Using Fourier and Wavelet Transform on Multi Spectral Fluctuation Signal”., 2017 1st IEEE International Conference on Electrical Engineering and Informations (ICELTICs)., 18-20 Oktober 2017, Banda Aceh, Indonesia(Accepted)
  7. Melinda, A. S. Tamsir, D. Sudiana, Dadang Gunawan, and M. Iqbal., “Implementation of Segmentation Scheme Based on Wavelet Transform in Multi-Spectral Fluctuation Patterns”., International Journal of Telecommunication, Electronic And Computer Engineering, vol. 08 no.12 2016, Malaysia, pp. 47-52
  8. Melinda, A. S. Tamsir, Basari, P. Mahatidana, and D. Gunawan., “The Influence of Wideband Amplifier Supply on the Consistency Level of Multi-Spectral Fluctuation Pattern”. Advanced Science Letter, vol. 23, no.4 (April 2017) pp.2637-3816
  9. Melinda Melinda, A. S. Tamsir, Basari, and D. Gunawan, “Grouped Data Analysis of H2O and H2O Mixed with NaOH on Multi Spectral High Fluctuation Pattern”, International Conference on Electrical Engineering and Informatics (ICELTICs 2017) October 2017, Banda Aceh, Indonesia, ISSN: 978-1-5386-2934-5, pp: 184-188
  10. S.P.D. Sriyanto dan R. M. Sipayung, “ Implementasi Pengurangan Noise Seismik Menggunakan Filter Wiener pada Algoritma Deteksi Otomatis Sinyal Gempabumi” Program Studi Geofisika, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Tangerang Selatan. 2017
  11. Y. Wang and T. Li, “Application of Wavelet and Wiener Filtering Algorithm in Image De-Noising” OALibj DOI: 10.4236/oalib.1102319,Vol.3,January2016
  12. J. Chen, J. Benesty, Y. (A) Huang, and S. Doclo, “New Insights Into the Noise Reduction Wiener Filter” IEEE Transactions On Audio, Speech, And Language Processing, Vol. 14, No. 4, July 2006
  13. S.G. Bacheramsyah, M.S. Suraatmadja, Ir.,MSc, dan B.D. Kuncoro,MT, “Perancang Pengolah Sinyal Ekg Dengan Menggunakan Filter Wiener Pada Software Labview Secara Real Time” Prodi S1 Teknik Elektro, Fakultas Teknik Elektro, Universitas Telkom. 2015
  14. D.S. Nurjanah, D. Suhaedi, dan E. Harahap, “Denoising Restorasi Citra Digital Menggunakan Filter Wiener” Jurnal Matematika UNISBA Vol 15 No 1, Mei 2016
  15. Jingdong Chen, Jacob Beresty, Yiteng Huang, Simon Dodo,” New Insight into the Noise Reduction Wiener Filter”, IEEE Transaction on Audio, Speech, and Language Processing, Vol.14, No.4, July 2006
  16. E. Anderes, “Robust adaptive Wiener filtering,” in 2012 19th IEEE International Conference on Image Processing, Orlando, FL, USA, Sep. 2012, pp. 3081–3084
  17. doi: 10.1109/ICIP.2012.6467551.Xia
  18. Yousheng, Huang Jianwen,” Speech Enhancement based on Combination of Wiener Filter and Subspace Filter, IEEE, 2014
  19. A. Wedianto, H. L. Sari, dan Y. Suzantri, “Analisa Perbandingan Metode Filter Gaussian, Mean Dan Median Terhadap Reduksi Noise”, Jurnal Media Infotama Vol. 12 No. 1, Februari 2016
  20. G.V.P.C.S. Yadav, B. A. Khrisna,Ph.D, M. Kamaraju, Ph.D “ Performance of Wiener Filter and Adaptive Filter for Noise Cancellation in Real-Time Environment” International Journal of Computer Applications (0975 – 8887) Volume 97– No.15, July 2014
  21. A. Purwadi “ Skabilitas Signal to Noise Ratio pada Pengkodean Video dengan Derau Gaussian” Vol. 11, No.3, 2015

Last update: 2021-03-07 11:18:21

No citation recorded.

Last update: 2021-03-07 11:18:21

No citation recorded.
Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer
under http://creativecommons.org/licenses/by-sa/4.0.

Starting in 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that their article is original, written by the mentioned author(s), has never been published before, does not contain statements that violate the law, does not violate the rights of others, is subject to copyright that is held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

  • Copyright and other proprietary rights related to articles, such as patents,
  • The right to use the substance of the article in its own future works, including lectures and books,
  • The right to reproduce articles for its own purposes,
  • The right to archive articles yourself (please read our deposit policy), and
  • The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of articles (for example, posting them to institutional repositories or publishing them in a book), with acknowledgment of its initial publication in this journal (Journal of Technology and Computer Systems).

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. JTSiskom will not be held responsible for anything that may arise because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.