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Gunawan,Sepuluh Nopember Institute of Technology | Wijoyo J.F.,Sekolah Tinggi Teknik Surabaya | Purnama I.K.E.,Sepuluh Nopember Institute of Technology | Hariadi M.,Sepuluh Nopember Institute of Technology
Proceedings - 2011 International Conference on Asian Language Processing, IALP 2011 | Year: 2011

This paper describes an approach for editing Indonesian Language Lexical Database especially noun category and its relations. The purpose of this editor is to refine Indonesian Lexical Database that was developed in our previous researches. The visualization of the editor is using graph library with some modifications and additions. Furthermore, this editor will be web based so that everyone can participate to improve Indonesian Language Lexical Database. There is an administrator role that had to accept or reject any suggestion for the changes suggested by any member. We believe that this editing approach can also be used to improve WordNet developed in other languages. © 2011 IEEE. Source


Setyati E.,Sekolah Tinggi Teknik Surabaya | Sumpeno S.,Sepuluh Nopember Institute of Technology | Purnomo M.H.,Sepuluh Nopember Institute of Technology | Mikami K.,Tokyo University of Technology | And 2 more authors.
IAENG International Journal of Computer Science | Year: 2015

In a communication using texts input, a phoneme must be mapped to viseme (visual phoneme). Phoneme is the smallest element of a language that can differentiate a meaning. Viseme is derived from a group of phonemes having similar visual appearances, the equivalent unit in the visual domain that models a speech recognition system audio-visually. This paper proposes a classification of visemes in Indonesian Language and establishes phoneme-viseme mapping for Indonesian Language. In Indonesian words, there are lots of absorbed words from other languages. They come from vernacular or foreign languages, such as Arabic and English. From 49 phonemes, 12 Indonesian visemes have been produced, including silent. Viseme classes are defined through linguistic knowledge and grouped by the same visual appearance, and then validated through a survey. The approach used in Indonesian phoneme-to-viseme mapping is based on linguistic data. This is the first research in Indonesian phoneme-to-viseme mapping, which is expected to grow into a reference for further development in human language technology. Source


Sutjiadi R.,Institute Informatika Indonesia | Setyati E.,Sekolah Tinggi Teknik Surabaya | Lim R.,Petra Christian University
Telkomnika (Telecommunication Computing Electronics and Control) | Year: 2015

The big cities in the world always face the traffic jam. This problem is caused by the increasing number of vehicle from time to time and the increase of vehicle is not anticipated with the development of adequate new road section. One important aspect in the traffic management concept is the need of traffic density data of every road section. Therefore, the purpose of this paper is to analyze the possibility of optimization on the use of video file recorded from CCTV camera for visual observation and tool for counting traffic density. The used method in this paper is adaptive background extraction with Gaussian Mixture Models algorithm. It is expected to be the alternative solution to get traffic density data with a quite adequate accuracy as one of aspects for decision making process in the traffic engineering. © 2015 Universitas Ahmad Dahlan. Source


Santoso J.,Sepuluh Nopember Institute of Technology | Nugraha J.N.,Sekolah Tinggi Teknik Surabaya | Yuniarno E.M.,Sepuluh Nopember Institute of Technology | Hariadi M.,Sepuluh Nopember Institute of Technology
2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding | Year: 2015

Recently, data on the internet grows and it can be used as supporting information for human life. Wikipedia as an online encyclopedia provides many resources, data, and information on the internet. Main problem in our research is how to represent information from Indonesian Wikipedia article into some knowledge representation such as ontology. Ontology is a set of related concept and relation between those concepts. Ontology usually has a large and complex structure because ontology is made to cover a large area topic. Our approach in this ontology building is focused on hyponymy relation and meronymy relation. Our proposed method is using taxonomy template information in Wikipedia to extract hyponymy relation and some pattern to extract the meronymy relation. Our experiment shows that hyponymy relation can be extracted into 5038 relations. For our meronymy relation extraction process has 82.23% as the highest accuracy. © 2015 IEEE. Source


Junaedi H.,Sekolah Tinggi Teknik Surabaya | Hariadi M.,Sepuluh Nopember Institute of Technology | Purnama I.K.E.,Sepuluh Nopember Institute of Technology
Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013 | Year: 2013

A Simulation of human behavior are challenge topics of researChin computer intelligent that has many benefits, such as to create a simulation of evacuation plan in a building when a disaster happens, like a fire and an earthquake. For evacuation of the building simulation of human behavior is needed to know which path will be passed through by the crowd. This animation simulation will use particle swarm algorithm optimization as the algorithm based with multiple behaviors and multiple targets. In this simulation, we add the behaviour of avoiding crashed between human and the algorithm modification is done which is a leader character is added. The leader behavior will lead the other agent to get out of the room. This agent based simulation movement will simulate movement in a room when an alarm signal is given, then the agent will get out of the room either individually or in groups. In this research we will use three scenario. We will compared the use of multiple target than single target and the use of leader follower behavior in any different number of agents. From the test result is obtained that the use of multiple target is much better result than use a single target and the behavior of the agent is depend on the movement of the crowd. Utilization of multibehavior with the leader characteristic who direct the other agent to reach target is more useful because it will reach the target more faster but the number of agents will affect the optimal number of leader needed. © 2013 IEEE. Source

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