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All Journal Computatio : Journal of Computer Science and Information Systems Jurnal ULTIMA InfoSys Jurnal ULTIMA Computing Jurnal Ilmiah Teknik Elektro Jurnal Informatika dan Teknik Elektro

Hugeng Hugeng

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Author-ID : 3199876

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Pengurangan Noise Sepeda Motor dan Mesin Diesel dari Sinyal Bicara dengan Algoritma Recursive Least Square Hugeng Hugeng; Endah Setyaningsih; Meirista Wulandari
Ultima Computing : Jurnal Sistem Komputer Vol 5 No 1 (2013): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Adanya bunyi kendaraan bermotor yang tercampur dengan suara seseorang yang sedang berbicara dapat mengganggu suatu sistem contohnya pada sistem speech recognition sehingga perintah terhadap sistem tersebut tak dapat dikerjakan. Ada beberapa cara yang dapat digunakan untuk mengatasi masalah gangguan noise yaitu salah satunya menggunakan filter adaptif dengan metode Adaptive Noise Cancellation (ANC). ANC menghilangkan noise yang tercampur dengan suatu sinyal berdasarkan noise referensi. ANC ini terdiri dari 2 bagian yaitu filter digital dan algoritma adaptif. Filter digital FIR dan algoritma adaptif RLS digunakan pada sistem ini. Pemfilteran menggunakan perangkat lunak Matlab secara simulasi dan hasil filter berupa sinyal estimasi. Keberhasilan sistem pengurangan noise ini dapat dilihat berdasarkan parameter Mean Square Error (MSE). Hasil parameter yang didapat menunjukkan bahwa sistem ini bisa mengurangi noise sepeda motor dan mesin diesel yang tercampur dengan sinyal bicara walau pun nilai MSE yang dihasilkan cukup besar. Keywords - Adaptive, Filter, ANC, RLS

Sistem Pengingat Safety Riding bagi Pengemudi Mobil Pribadi Hugeng Hugeng; Eko Syamsudin; Hadytio Putra
Ultima Computing : Jurnal Sistem Komputer Vol 6 No 1 (2014): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

The purpose of the utility of safety belt is to minimize the impact that could occur in a car accident. Safety belt consists of two main parts; i.e. transverse diagonal sash belt and lap belt that lies horizontally on the abdomen. Both parts make a form of continuous network that securing the driver. The main problem in the usage of safety belt is that many drivers ignored the function of the safety belt and did not use it. Some drivers tightened one part of the belt only, others even did not use it at all. Facing this problem, a model was designed in this research that can always remind and force the drivers to use their safety belt. Additional features were detection system for car speed and for driver’s head position. This designed device consists of several main components such as microcontrollers, limit switches, heat sensors, sound system, an accelerometer, and potentiometers. Some components were designed based on separate modules and merged into a single unit device that can always remind drivers to use safety belts correctly. Based on the results of the conducted experiments, the system can function correctly in which it always perfomed rechecking of each parameter. Index Terms - microcontroller, safety riding system

Implementation of Android Based Speech Recognition for Indonesian Geography Dictionary Hugeng Hugeng; Edbert Hansel
Ultima Computing : Jurnal Sistem Komputer Vol 7 No 2 (2015): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

We have built an application of speech recognition for Indonesian geography dictionary based on Android operating system, named GAIA. This application uses a smartphone as a device to receive input in the form of a spoken word from a user. The approach used in recognition is Hidden Markov Model which is contained in the Pocketsphinx library. The phonemes used are Indonesian phonemes’ rule. The advantage of this application is that it can be used without internet access. In the application testing, word detection is done with four conditions to determine the level of accuracy. The four conditions are near silent, near noisy, far silent, and far noisy. From the testing and analysis conducted, it can be concluded that GAIA application can be built as a speech recognition application on Android for Indonesian geography dictionary; with the results in the near silent condition accuracy of word recognition reaches an average of 52.87%, in the near noisy reaches an average of 14.5%, in the far silent condition reaches an average of 23.2%, and in the far noisy condition reaches an average of 2.8%. Index Terms—speech recognition, Indonesian geography dictionary, Hidden Markov Model, Pocketsphinx, Android.

Co-Authors Adhi Kusnadi Christophorus Kris Widiarso Edbert Hansel Eko Syamsudin Endah Setyaningsih Hadytio Putra Hery Iskandar Joni Fat Karel Prasetya Robbyantoh Mark Davisson Djunaedi Meirista Wulandari Muljono Muljono Pattrick Levin Sunjaya TRI SUTRISNO Zyad Rusdi Zyad Rusdi

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Journal : Jurnal ULTIMA Computing