Oil (energy) is huge influence of economic Indonesia. Since many sectors from Industries until in... more Oil (energy) is huge influence of economic Indonesia. Since many sectors from Industries until individual need it. In fact, Indonesia is a country with high density population. Because of that, the necessity of oil must be meet amount of inhabitant in Indonesia. If government failed to answer the demand of oil, then Indonesia will be face economic crisis for long-term. So that, the forecast of it still need to be concerned. Furthermore, data about population and oil import were used to forecast economic condition. Shape of it had been done by machine learning.
Along with advances in information technology, it has been developed the technology to facilitate... more Along with advances in information technology, it has been developed the technology to facilitate human life, one of which is speech recognition. Speech recognition is widely applied to speech to text, speech to emotion, in order to make gadget and computer easier to use, or to help people with hearing disability. However, the development of speech recognition to produce the text from the input voice has not well developed because of time processing. This is certainly going to make the animators and engineers need more time using speech recognition. Therefore, it needs a method to solve the time processing problem and with a good accuracy.
The food industry sell a range of product variations. The company want to take advantage to build... more The food industry sell a range of product variations. The company want to take advantage to build business strategy from huge information which is stored in data warehouse. In this case, data mining technology needs to be implemented to explore valuable information on transactional data to assess customer's preferences for products sold as a business strategy. Information about the way customers buy food products is necessary, this can be done by mapping the transaction data which is described as the pattern of consumer's taste. The association method using apriori algorithm is used to map customer's choice. The challenge is in the data itself, multidimensional data has to be prepared first before the data is fetched to the mining process. Data reduction will be held to handle huge instances and attributes between the data. Research focus on the way we handle data until the rules is built. To reach this goal, three validation levels will be implemented to verify the reliability of the association rules shows by percentage supports and confident.
Indonesia has many tribes, so that there are many dialects. Speech classification is difficult if... more Indonesia has many tribes, so that there are many dialects. Speech classification is difficult if the database uses speech signals from various people who have different characteristics because of gender and dialect. The different characteristics will influence frequency, intonation, amplitude, and period of the speech. It makes the system must be trained for the various templates reference of speech signal. Therefore, this study has been developed for Indonesian speech classification. The solution is a new combination of fuzzy on hidden Markov models. The result shows a new version of fuzzy hidden Markov models is better than hidden Markov model.
Malaria is an endemic disease in most of Indonesian area, especially in rural and remote areas. B... more Malaria is an endemic disease in most of Indonesian area, especially in rural and remote areas. Banggai, one of regencies in Central Sulawesi province, is a high endemic area of malaria with Annual Parasite Incidence (API) in 2010 reached 7.88‰. The incidence and spreading of malaria were influenced by environmental and weather factors, particularly rainfall and temperature. Therefore this study would like to developed a malaria incidence prediction system based on environmental and weather factors, so that it may assist Indonesian Ministry of Health to control malaria. The method used to solve the problem was Evolving Neural Network (ENN). This method was a mixture between Artificial Neural Network (ANN) and Genetic Algorithm (GA). The result of this study shows that the prediction system has acceptable performance for predicting malaria incidence based on weather factors. The best performance while predicting malaria incidence in 2008 was MAPE 21.3%, accuracy 75%, and F-value 84.21%. As for predicting malaria incidence in 2009, was resulted MAPE 15.29%, accuracy 75%, and F-value 40%. These findings proved that there was a sufficient correlation between weather and malaria incidence.
Economic crisis that had happened at [1997][1998] in Indonesia stimulate the researchers to study... more Economic crisis that had happened at [1997][1998] in Indonesia stimulate the researchers to study further because economic that came from words 'ecos' and 'nomos' means value of life can be used as economic indicators. The economic indicators are GDP (Gross Domestic Product), inflation, population, and oil import per year from 1980-2011, will be tested using time series analysis and system dynamic optimized by algorithm genetic.
Oil (energy) is huge influence of economic Indonesia. Since many sectors from Industries until in... more Oil (energy) is huge influence of economic Indonesia. Since many sectors from Industries until individual need it. In fact, Indonesia is a country with high density population. Because of that, the necessity of oil must be meet amount of inhabitant in Indonesia. If government failed to answer the demand of oil, then Indonesia will be face economic crisis for long-term. So that, the forecast of it still need to be concerned. Furthermore, data about population and oil import were used to forecast economic condition. Shape of it had been done by machine learning.
Along with advances in information technology, it has been developed the technology to facilitate... more Along with advances in information technology, it has been developed the technology to facilitate human life, one of which is speech recognition. Speech recognition is widely applied to speech to text, speech to emotion, in order to make gadget and computer easier to use, or to help people with hearing disability. However, the development of speech recognition to produce the text from the input voice has not well developed because of time processing. This is certainly going to make the animators and engineers need more time using speech recognition. Therefore, it needs a method to solve the time processing problem and with a good accuracy.
The food industry sell a range of product variations. The company want to take advantage to build... more The food industry sell a range of product variations. The company want to take advantage to build business strategy from huge information which is stored in data warehouse. In this case, data mining technology needs to be implemented to explore valuable information on transactional data to assess customer's preferences for products sold as a business strategy. Information about the way customers buy food products is necessary, this can be done by mapping the transaction data which is described as the pattern of consumer's taste. The association method using apriori algorithm is used to map customer's choice. The challenge is in the data itself, multidimensional data has to be prepared first before the data is fetched to the mining process. Data reduction will be held to handle huge instances and attributes between the data. Research focus on the way we handle data until the rules is built. To reach this goal, three validation levels will be implemented to verify the reliability of the association rules shows by percentage supports and confident.
Indonesia has many tribes, so that there are many dialects. Speech classification is difficult if... more Indonesia has many tribes, so that there are many dialects. Speech classification is difficult if the database uses speech signals from various people who have different characteristics because of gender and dialect. The different characteristics will influence frequency, intonation, amplitude, and period of the speech. It makes the system must be trained for the various templates reference of speech signal. Therefore, this study has been developed for Indonesian speech classification. The solution is a new combination of fuzzy on hidden Markov models. The result shows a new version of fuzzy hidden Markov models is better than hidden Markov model.
Malaria is an endemic disease in most of Indonesian area, especially in rural and remote areas. B... more Malaria is an endemic disease in most of Indonesian area, especially in rural and remote areas. Banggai, one of regencies in Central Sulawesi province, is a high endemic area of malaria with Annual Parasite Incidence (API) in 2010 reached 7.88‰. The incidence and spreading of malaria were influenced by environmental and weather factors, particularly rainfall and temperature. Therefore this study would like to developed a malaria incidence prediction system based on environmental and weather factors, so that it may assist Indonesian Ministry of Health to control malaria. The method used to solve the problem was Evolving Neural Network (ENN). This method was a mixture between Artificial Neural Network (ANN) and Genetic Algorithm (GA). The result of this study shows that the prediction system has acceptable performance for predicting malaria incidence based on weather factors. The best performance while predicting malaria incidence in 2008 was MAPE 21.3%, accuracy 75%, and F-value 84.21%. As for predicting malaria incidence in 2009, was resulted MAPE 15.29%, accuracy 75%, and F-value 40%. These findings proved that there was a sufficient correlation between weather and malaria incidence.
Economic crisis that had happened at [1997][1998] in Indonesia stimulate the researchers to study... more Economic crisis that had happened at [1997][1998] in Indonesia stimulate the researchers to study further because economic that came from words 'ecos' and 'nomos' means value of life can be used as economic indicators. The economic indicators are GDP (Gross Domestic Product), inflation, population, and oil import per year from 1980-2011, will be tested using time series analysis and system dynamic optimized by algorithm genetic.
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