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Yovita Tunardi
Bina Nusantara University
Computer Science & IT Engineering Mathematics

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Nosql Technology In Android Based Mobile Chat Application Using Mongodb Yovita Tunardi; Rita Layona
ComTech: Computer, Mathematics and Engineering Applications Vol. 5 No. 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2180

Abstract

Along with the development of data storage technology which previously using relational concept began to change to the non-relational concept or sometimes referred to as the term NoSQL technology. Data storage in NoSQL is no longer based on the relations between tables but using another methods, one of them is document-oriented. This method was applied specifically in MongoDB. This concept brings new hope because oftheir superiority that can handle very large data with promising performance and is perfect for agile system development. The purpose of this research was to measure the performance NoSQL, especially MongoDB with implemented it in a Android based mobile chat application. This research uses three methods, analysis method including literature study, analysis of similar application, questionnaires, design method using Agile SofwareDevelopment, and evaluation method including eight golden rules, analysis of similar application, questionnaires, and interview. The results of this research is a mobile chat application that uses MongoDB as the data storage technology. Through this research can be drawn the conclusion that NoSQL technology implementation, MongoDB, give special advantages like lighter data storage and faster data access.
Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur Rita Layona; Yovita Tunardi; Dian Felita Tanoto
ComTech: Computer, Mathematics and Engineering Applications Vol. 5 No. 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2369

Abstract

Along with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR), but the technique still has some shortcomings such as the relevance of the picture successfully retrieved, and the specific space required to store meta-data in the image. Seeing the shortage of Text-Based Image Retrieval techniques, then other techniques were developed, namely Image Retrieval based on content or commonly called Content Based Image Retrieval (CBIR). In this research, CBIR will be discussed based on color, shape and texture using a color histogram, Gabor and SIFT. This study aimed to compare the results of image retrieval with some of these techniques. The results obtained are by combining color, shape and texture features, the performance of the system can be improved.
Co-Authors Dian Felita Tanoto Rita Layona