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All Journal TEKNIK INFORMATIKA Jurnal Sistem Komputer & Kecerdasan Buatan
Aris Gunaryati
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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BIOMETRIK POLA SUARA DENGAN JARINGAN SARAF TIRUAN Ina Agustina; Fauziah Fauziah; Aris Gunaryati
JURNAL TEKNIK INFORMATIKA Vol 9, No 2 (2016): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.163 KB) | DOI: 10.15408/jti.v9i2.5605

Abstract

ABSTRAK Metode  yang  digunakan  dalam  penelitian  ini  adalah  biometrik  pengenalan  identitas  berdasarkan karakteristik fisik. Pengenalan pola suara biometrik yang memiliki biaya rendah. Penelitian ini merancang pola penggunaan suara biometrik. sinyal input suara dalam bentuk suara yang direkam dengan durasi sekitar dua (2) detik pada sistem dan sinyal dekomposisi menggunakan transformasi wavelet diskrit. sistem verifikasi menggunakan ekstraksi karakteristik Koefisien Sub Band berdasarkan parameter cepstral (SBC) dengan menggunakanjumlah  koefisien 12. Kata  kunci: Biometrik, pola suara, transformasi wavelet, jaringan saraf
Hybrid Exponential Smoothing Neural Network untuk Peramalan Data Pengguna Pita Lebar di Indonesia Aris Gunaryati; Fauziah Fauziah; Septi Andryana
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 2 No. 2 (2019): Volume II - Nomor 2 - Maret 2019
Publisher : Teknik Informatika

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The country of Indonesia has a huge opportunity to realize the potential for broadband users because the population growth rate is high and internet users are increasing each year. For this reason, acceleration is needed in providing telecommunications services and infrastructure that can increase internet access for users. To find out the estimated number of broadband users in the future, in this study proposed a hybrid exponential smoothing neural network forecasting model. By combining these methods, it is possible to take advantage of the forecasting technique of each while overcoming their drawbacks. This study showed that the RMSE value of hybrid model is 29.86% lower than that of the non hybrid. The MAPE value of hybrid model is 99.93% lower than that of the non hybrid model and the MAE value of hybrid model is 38.52% lower than that of the non hybrid model.
Analisis Perbandingan Algoritma Jaringan Syaraf Tiruan pada Proses Identifikasi Gerak Bahu Fauziah Fauziah; Aris Gunaryati; Septi Andryana; Ira Diana Sholihati
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 3 No. 1 (2019): Volume III - Nomor 1 - September 2019
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (70.372 KB)

Abstract

The research related to the analysis of Range of Motion on human movements continues to evolve along with the development of image processing techniques related to human motion can be used to assess the motion done whether it is appropriate. The stage among others is to perform motion acquisition and then convert motion video into multiple image frames. The second phase performs the image processing process consisting of the development phase segmentation algorithm, consisting of background subtraction, grayscale, filtering, threshold, dilation, erosion to silhouette formation. Artificial Neural Network is a concept of learning used and implemented using computer programs and able to complete many calculation processes during the learning process and is system Information processors that have similar characteristics to the human neural network. Results of calculations made from neural network algorithms get an accuracy value of 92.67% using Back propagation of neural networks and 68.13% using; a radialbased neural network function to determine 3 motions are adduction, hyperextension, and extension. DOWNLOAD FILE : FULL TEXT
Co-Authors Fauziah Fauziah Ina Agustina Ira Diana Sholihati Septi Andryana