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All Journal Jurnal Ilmu Komputer dan Informasi Nurse Media Journal of Nursing Journal of ICT Research and Applications JOIV : International Journal on Informatics Visualization Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) Journal of Computer Science and Informatics Engineering (J-Cosine) Walisongo Law Review (Walrev) Makara Journal of Science Makara Journal of Technology Jurnal Sistem Informasi
Wisnu Jatmiko
Faculty Of Computer Science, Universitas Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Journal : Makara Journal of Science

 1 
PERLUASAN METODE MFCC 1D KE 2D SEBAGAI ESKTRAKSI CIRI PADA SISTEM IDENTIFIKASI PEMBICARA MENGGUNAKAN HIDDEN MARKOV MODEL (HMM) Buono, Agus; Jatmiko, Wisnu; Kusumoputro, Benyamin
Makara Journal of Science Vol. 13, No. 1
Publisher : UI Scholars Hub

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Abstract

The Extention of MFCC Technique from 1D to 2D as Feature Extractor for Speaker Identification System Using HMM. In this paper, we introduce an extension of Mel-Frequency Cepstrum Coefficients (1D-MFCC) methodology to bispectrum data, referred to as 2D-MFCC, for feature extraction. 2D-MFCC is based on 2D bispectrum data rather than 1D spectrum vector yielded by Fourier transform, so the filter in 1D-MFCC must be extend to 2D filter and using 2D cosine transform to get the mel-cepstrum coefficients from the filtered bispectrum values. Based on 2D-MFCC, we develop a speaker recognition system with Hidden Markov Model (HMM) as classifier. The experimental results show that the recognition rate is around 88%, 92% and 99% for 20, 40 and 60 data training, respectively
PENGEMBANGAN SISTEM PENCIUMAN ELEKTRONIK DENGAN 16 BUAH SENSOR KUARSA DAN ALGORITMA NEURAL PROPAGASI BALIK UNTUK PENGENALAN AROMA CAMPURAN Kusumoputro, Benyamin; Jatmiko, Wisnu
Makara Journal of Science Vol. 6, No. 3
Publisher : UI Scholars Hub

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Abstract

An artificial odor recognition system is developed for discriminating odors. This artificial system consisted of 16 quartz resonator crystals as the sensor array, a frequency modulator and a frequency counter for each sensor that are connected directly to a microcomputer. We have already shown that the artificial odor recognition system with 4 sensors is high enough to discriminate simple odor correctly, however, when it was used to discriminate compound odors, the recognition capability of this system is dropped significantly to be about 40%. Results of experiments show that the developed artificial system with 16 sensors could discriminate compound aroma based on 6 gradient of alcohol concentrations with high recognition rate of 89.9% for non batch processing system, and 82.4% for batch processing of the classes of odors
PENGEMBANGAN SISTEM PENCIUMAN ELEKTRONIK DENGAN 16 BUAH SENSOR KUARSA DAN ALGORITMA NEURAL PROPAGASI BALIK UNTUK PENGENALAN AROMA CAMPURAN Kusumoputro, Benyamin; Jatmiko, Wisnu
Makara Journal of Science Vol. 6, No. 3
Publisher : UI Scholars Hub

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Abstract

An artificial odor recognition system is developed for discriminating odors. This artificial system consisted of 16 quartz resonator crystals as the sensor array, a frequency modulator and a frequency counter for each sensor that are connected directly to a microcomputer. We have already shown that the artificial odor recognition system with 4 sensors is high enough to discriminate simple odor correctly, however, when it was used to discriminate compound odors, the recognition capability of this system is dropped significantly to be about 40%. Results of experiments show that the developed artificial system with 16 sensors could discriminate compound aroma based on 6 gradient of alcohol concentrations with high recognition rate of 89.9% for non batch processing system, and 82.4% for batch processing of the classes of odors
Co-Authors A. A. Krisnadhi A. Febrian Abdul Haris Abdul Haris Abdul Haris Achmad K. Harzif Agus Buono Agus Buono Agus Mulyanto Ari Wibisono Ari Wibisono Ari Wibisono Ari Wibisono Arief Budiono Bambang Budi Siswanto Benyamin Kusumoputro Budi Wiweko Dewi Irawati Dhiemas R. Y.S. Dwi A. Suryandari F. Abka, Achmad Fazry, Lhuqita Fityan Azizi Grafika Jati H. R. Sanabila Hartanto Bayuaji INDRA HERMAWAN M. Anwar Ma'sum M. S. Alvissalim Mgs M Luthfi Ramadhan Mgs M Luthfi Ramadhan Muhammad Ali Akbar, Muhammad Ali Muhammad Febrian Rachmadi, Muhammad Febrian N. W. Pambudi Nina Sevani Petrus Mursanto Pius Almindu Leki Berek Prasetyawan, Purwono Prihati Yuniarlin, Prihati Putri Shaniya R. M. Mardian Raden Muharam Natadisastra Ramadhan, Mgs M Luthfi Retno A. Werdhani Rochmatullah . Rohmat Indra Borman Setiawan, I Md. Agus Siti Hadiyan Pratiwi Suryana, Muhammad Eka Triditya, Gregory Wardhana, Yulistiyan