17 research outputs found

    Nilai Karies Gigi Anak Kelas 1 dan Kelas 6 Sekolah Dasar di Salah Satu Puskesmas Kabupaten Tangerang (Pemeriksa Dokter Umum, Dokter Gigi dan Perawat Gigi)

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    . Dental and oral health status as expressed in dental caries are important problems, health nearly 90% of Indonesian suffered dental caries. The common cause of denial caries is poor oral hygiene, as it leads to make plaque accumulation containing various bacteria. Tendency of plaque formation exists in every individual in every ege. Objective of the study : To get the format and procedure of examination at dental carries by comparating the examination results between general practitioners and dentists, dentists and dental nurses, and general practitioners and dental nurses. The study took ten month, by diagnostic test design and conducted in a sub district primary health centre in Tangerang. The study was equivalent by ten general practitioners, ten dentists and ten dental nurses by using mouth mirrors. The member of respondents were 60 persons from both genders with 6 and 12 years age and who lived in Tangerang. They included about 30 children from first standard of primary school and 30 children from 6 ' class of primary school at six years and 12 years old. They were from one of the government schools is the district of Tangerang. The collection of data had been done by examining the dental carries of 60 students by ten general practitioners, ten dentists, and ten dental nurses. They participated in this study after going informed consent. Data analyses were using t test and wilcoxon test by SPSS 11.5. The result of this study showed D (decay), M (missing), F (filling) and DMF-T with variation. Actually general Practitioners can do same the examination as dentists and dental nurses, put general practitioners sufficiently understand the importance of M (missing) and F (Filling)

    Extending Abstract Interpretation to Dependency Analysis of Database Applications

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    Dependency information (data- and/or control-dependencies) among program variables and program statements is playing crucial roles in a wide range of software-engineering activities, e.g. program slicing, information flow security analysis, debugging, code-optimization, code-reuse, code-understanding. Most existing dependency analyzers focus on mainstream languages and they do not support database applications embedding queries and data-manipulation commands. The first extension to the languages for relational database management systems, proposed by Willmor et al. in 2004, suffers from the lack of precision in the analysis primarily due to its syntax-based computation and flow insensitivity. Since then no significant contribution is found in this research direction. This paper extends the Abstract Interpretation framework for static dependency analysis of database applications, providing a semantics-based computation tunable with respect to precision. More specifically, we instantiate dependency computation by using various relational and non-relational abstract domains, yielding to a detailed comparative analysis with respect to precision and efficiency. Finally, we present a prototype semDDA, a semantics-based Database Dependency Analyzer integrated with various abstract domains, and we present experimental evaluation results to establish the effectiveness of our approach. We show an improvement of the precision on an average of 6% in the interval, 11% in the octagon, 21% in the polyhedra and 7% in the powerset of intervals abstract domains, as compared to their syntax-based counterpart, for the chosen set of Java Server Page (JSP)-based open-source database-driven web applications as part of the GotoCode project
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