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Our report describes the results of work in our participation in the IndonesianEnglish question-answering task of the 2006 Cross-Language Evaluation Forum (CLEF). In this work we translated an Indonesian query set into English using a machine translation tool available on the internet. Documents relevant to a question are first retrieved. The relevant(More)
We present a novel named entity recognition approach for the Indonesian language. We call the new method InNER for Indonesian Named Entity Recognition. InNER is based on a set of rules capturing the contextual, morphological, and part of speech knowledge necessary in the process of recognizing named entities in Indonesian texts. The InNER strategy is one of(More)
Based on Central Agency on Statistic (Badan Pusat Statistik – BPS), the growth of SMEs in Indonesia is increasing rapidly. In order to increase their competitive advantage, SMEs need to implement ERP system. However, most of ERP systems in the today market are very complex and not suitable for Indonesian SMEs. This paper presents the requirements of(More)
Abstract In this paper, we proposed a co-reference resolution method for texts in the Indonesian language. The objective of co-reference resolution is to identify equivalence between entities as well as between pronouns and entities that were recognized in a named entity recognition phase. We propose a method that uses association rules. The method combines(More)
Rule Based Machine Translation (RBMT) and Statistical Machine translation (SMT) have different approach in performing translation task. RBMT uses linguistic rule between two languages which is built manually by human in general, whereas SMT uses co-occurrence statistic of word in parallel corpora. We combine those different approaches into(More)
Small and Medium Enterprises (SMEs) in Indonesia contribute around 53% of the GDP. To increase their market competitiveness, SMEs need to be able to integrate and automate their business processes at least to a certain extent. An ERP system can be a solution for SMEs because of its advantages i.e. quickened information response time, increased interaction(More)
PURPOSE The purpose of this study is to develop a model of Hospital Information System (HIS) user acceptance focusing on human, technological, and organizational characteristics for supporting government eHealth programs. This model was then tested to see which hospital type in Indonesia would benefit from the model to resolve problems related to HIS user(More)
BACKGROUND Some patients with Cushing's syndrome have nodular adrenal hyperplasia. In most the disease is corticotropin-dependent, but in others it is corticotropin-independent. The cause of the adrenal hyperplasia in the latter patients is not known. METHODS We studied a 49-year-old woman with Cushing's syndrome and nodular adrenal hyperplasia in whom(More)
In this paper, an integration model of cancer patients data types such as microarray DNA and clinical data will be experimentally explored. The data of integration will be used for cancer subtype identification using kernel based classification methods which is the extension of Support Vector Machine (SVM) approach with Kernel Dimensionality Reduction(More)