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Journal : Perfecting a Video Game with Game Metrics

The Development of Windows Communication Foundation Application as Middleware for Banyumas Tourism and Culinary Information System Yuli Purwati; Fandy Setyo Utomo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 4: December 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i4.445


Banyumas located in the southwest of Central Java province. Banyumas is a tourist destination that serves a variety of interesting attractions to visit which include natural attractions, arts and culture, as well as culinary tourism. Business growth in the culinary and hospitality sectors in Banyumas region since 2011 experienced a significant increase in terms of quantity. Two of the business sector is a potential contributing factor for the tourism sector in Banyumas. In this study, an attempt to introduce and market potential for tourism, arts and culture, as well as culinary Banyumas done through WCF as a middleware application development that can be used by client applications to provide information about the potential of tourism, arts and culture, as well as culinary Banyumas. Step study conducted starting from data collection, analysis of functional requirements, system design, implementation, and testing of WCF applications. WCF application consists of several services, namely download service information lists attractions, arts and cultural information, culinary information, lodging information, and download the tourism image data from the server. Based on the test results of the service, it can be concluded that the service to function properly and is able to distribute information to the client.
New instances classification framework on Quran ontology applied to question answering system Fandy Setyo Utomo; Nanna Suryana; Mohd Sanusi Azmi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.9794


Instances classification with the small dataset for Quran ontology is the current research problem which appears in Quran ontology development. The existing classification approach used machine learning: Backpropagation Neural Network. However, this method has a drawback; if the training set amount is small, then the classifier accuracy could decline. Unfortunately, Holy Quran has a small corpus. Based on this problem, our study aims to formulate new instances classification framework for small training corpus applied to semantic question answering system. As a result, the instances classification framework consists of several essential components: pre-processing, morphology analysis, semantic analysis, feature extraction, instances classification with Radial Basis Function Networks algorithm, and the transformation module. This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. Furthermore, document processing module on question answering system is used to access instances classification result in Quran ontology.