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This paper is the results of research about the weather forecast in Bandung Regency using one of the Evolutionary Algorithms (EA), that is Genetic Programming (GP). In this research, we use the monthly rainfall data in Bandung Regency for the last 11 years (2005–2015). First of all, the data is processed by Weighted Moving Average (WMA) algorithm as preprocessing step. Next, GP Algorithm is used to...
Reciting Al-Qur'an sometimes becomes hard to do for Indonesian because Al-Qur'an was written in Arabic which is not the native language of Indonesian. The common mistake for Indonesian is pronouncing the Hijaiyah letters. In this paper, we propose to utilize the ability of Speech Recognition to help people learn reciting Al-Qur'an in the right way. This system is built using K-Nearest Neighbor (KNN)...
The case of churn becomes a critical problem that often happens in many telecom companies. In many real cases of churn, imbalance and outlier data usually occurs in the dataset. These problems in some cases, make the conventional data mining approach is less successful to create a churn prediction model. Therefore, it is a concern of telecommunication service providers to investigate and developed...
In modeling calibration, a dependency among predictor variables becomes major problem resulting in a not unique given model parameter estimation. This problem may degrade the performance value of the calibration model. A concentration of drug's active compound in 20 locations involving the proceeds percent transmittance observed at 1866 wavelengths as a predictor variable. The magnitude of the dimensions...
Conversational recommender system (CRS) is a form of recommender system that can refine user preference through conversational mechanism. User preference refinement can be proceeded in reference to the user's feedback towards the products recommended, called as critiquing technique. Compound critiquing technique has been widely developed to ensure the interaction efficiency in CRS. However, the compound...
Polycystic ovary syndrome (PCOS) is a hormonal endocrine disorder that infect many women in their reproductive cycle. It is a concern in a married couple because it is related fertility rate of women. One of the criteria for diagnosing PCOS are polycystic ovaries (PCO). Polycystic ovaries can be seen from the number and diameter of each follicle on ultrasound image. In previous studies, there are...
Fraud detection is a serious challenge in the telecommunication sector, including in international direct dial (IDD) call service. Fraudulent activities cause a greater impact on the company because the loss of revenue results in the loss of the gain due to expenses to be paid to global partners to provide an international call interconnection. Therefore IDD call fraud continues to be a concern among...
As an agricultural country and located around the equator line, Indonesia geographical position between two continents and oceans is very sensitive to regional and global atmospheric circulations as sunspot, cosmic rays, Indian Ocean Dipole(IOD) and Southern Oscillation Index(SOI). The disruption of one circulation can affect climate and weather. The extreme anomaly climate is very influential in...
Moving Average and Soft Computing is an algorithm widely used for forecasting especially for rainfall forecasting. Rainfall forecasting information is crucial for agriculture in Bandung Regency so that a planting season calendar suitable for each plant could be given. To get a better result, Five types of Moving Average algorithm were used on data preprocessing. Rainfall forecasting was done by using...
Currently, the data storage medium in digital form are widely applied in various fields, including in the medical world. The excessive size of the digital medical image digital poses problems in terms of storage and the time to transmit these images through the Internet. To overcome these problems, a digital image compression can be conducted. This procedure is conducted to maintain the image quality...
Image colorization is something fascinating in Image Processing. The issue raised in this research is Grayscale Image Colorization. Grayscale images that only show black and white are reproduced to be color images. The employed methodology was Neighbor Embedding Method, which has been applied before to manage Super-Resolution cases. This method is also implemented by Jun Li on image colorization cases...
Preprocessing method is the important step to get the better result in learning process, especially ini time series forecasting. The appropriate preprocessing method will affect the results of the learning process. Local Regression Smoothing (LRS) is the one of preprocessing method used for extreme data or outliers in time series data. The result of LRS used for input data in learning stage used Fuzzy-Grammatical...
Let H be a graph with the chromatic number h and the chromatic surplus s. A connected graph G of order n is called H-good if R(G,H) = (n − 1)(h − 1) + s. We show that Pn is 2Km-good for n ≥ 3. Furthermore, we obtain the Ramsey number R(L,2Km), where L is a linear forest. In addition, we also...
Preprocessing is an important thing in data processing to get an important knowledge or a processing result with a good performance. Almost all classification or prediction process needs a precise preprocessing for its input data. In this paper, the preprocessing we're discussing is rainfall time series data smoothing using Moving Average algorithm. We used MA to observe the input vector for the prediction...
Today, Arabic is one of the big challenges in Optical Character Recognition (OCR) to support a digital communication. There are many research on arabic OCR, either printed or handwritten input. However, the research on arabic OCR with harakat is still little due to the high degree of difficulty in segmentation techniques. In this paper, we propose a new segmentation scheme of the arabic character...
Customer often feels difficult to describe what he needs when he intends to buy a high-tech product with complex features, such as smartphone, notebook, camera, PC, car, server, etc. It is because the most of users are less familiar with the technical features of this product types. However, most recommender systems had been developed still directly refer to product features when extracting user's...
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. Feature extraction is one of significant step in the performance of speech recognition. Therefore, the proper selection is really needed. In this paper, we analyze feature extraction that can have good performance for Indonesian speech...
Polycystic Ovary Syndrome (PCOS) is an endocrine abnormality that occurred in female reproductive cycle. This paper designed an application to classify Polycystic Ovary Syndrome based on follicle detection using USG images. The first stage of this classification is preprocessing, which employs low pass filter, equalization histogram, binarization, and morphological processes to obtain binary follicle...
Rainfall is a very crucial weather parameter. The information on rainfall is also used for certain fields including farming, transportation, and flood early warning system. The significant fluctuation of rainfall in Bandung recently causes the difficulty in rainfall forecasting. The study analyzes and implements Soft Computing algorithm for rainfall forecasting in Bandung Regency. The algorithms belong...
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