Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

Semantic feature learning for natural language and programming language is a preliminary step in addressing many software mining tasks. Many existing methods leverage information in lexicon and syntax to learn features for textual data. However, such information is inadequate to represent the entire semantics in either text sentence or code snippet. This motivates us to propose a new approach to learn semantic features for both languages, through extracting three levels of information, namely global, local and sequential information, from textual data. For tasks involving both modalities, we project the data of both types into a uniform feature space so that the complementary knowledge in between can be utilized in their representation. In this paper, we build a novel and general-purpose feature learning framework called UniEmbed, to uniformly learn comprehensive semantic representation for both natural language and programming language. Experimental results on three real-world software mining tasks show that UniEmbed outperforms state-of-the-art models in feature learning and prove the capacity and effectiveness of our model.

PERANCANGAN SISTEM INFORMASI PENDAFTARAN DAN PEMBAYARAN RAWAT JALAN BERBASIS WEBSITE DI RUMAH SAKIT AMC BANDUNG

In the preparation of this thesis, the authors do research About Registration and Outpatient payment at RS AMC Bandung. According to the researchers, these activities have not been supported by a supportive system so that there are some obstacles such as the occurrence of registration queue, inefficient in serving outpatients. AMC Hospital as one of the public service institutions in the health sector requires the existence of an accurate, reliable, and sufficient information system to improve its services to patients and other related environments.To overcome these problems, the authors designed an information system that can be used to facilitate the data processing of outpatients at the Hospital RS AMC, the method used in designing this system is the method RUP (Rational Unifed Process). RUP (Rational Unifed Process) is a software engineering method developed by collecting various best practices in the software mining industry, where the development tools use UML (Unified Modeling languange).Thus, based on the system that has been created, it can facilitate the registration of patients who can be accessed anywhere, can improve information services for patients who will register and can expand the reach of information.