• Journal of KIISE:Computing Practices and Letters
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• v.12 no.4
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• pp.264-274
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• 2006

Recently, a variety of organizations including enterprises tend to try to use reporting tools as a data analysis tool for decision making support because reporting tools are capable of formatting data flexibly. Traditional reporting tools have thin-client structure in which all of dynamic documents are generated in the server side. This structure enables reporting tools to avoid repetitive process to generate dynamic documents, when many clients intend to access the same dynamic document. However, generating dynamic documents for data analysis doesn't consider a number of potential readers and increases requests to the server by making clients input various parameters at short intervals. In the structure of the traditional reporting tools, the increase of these requests leads to the increase of processing load in the server side. Thus, we present the reporting tool that can generate dynamic documents at the client side. This reporting tool has a processing mechanism to deal with a number of data despite the limited memory capacity of the client side.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.69-81
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• 2003

To manage a cluster of distributed server systems, a number of management aspects should be considered in terms of configuration management, fault management, performance management, and user management. System performance monitoring and reporting take an important role for performance and fault management. In this paper, we present distributed system architecture modeling of a performance monitoring and reporting tool. Modeling architecture of four subsystems are introduced: node agent, data collection, performance management & report, and DB schema. The performance-related information collected from distributed servers are categorized into performance counters, event data for system status changes, service quality, and system configuration data. In order to analyze those performance information, we use a number of ways to evaluate data corelation. By using some results from a real site of a company and from simulation of artificial workload, we show the example of performance collection and analysis. Since our report tool detects system fault or node component failure and analyzes performances through resource usage and service quality, we are able to provide information for server load balancing, in short term view, and the cause of system faults and decision for system scale-out and scale-up, in long term view.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.99-104
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• 2012

The digital forensics are new kinds of security that investigate and verificate fact relation about activities based on digital data. In this paper, we implemented digital forensic tool that can be used in collecting, analyzing, and reporting evidences. This tool support intuitional GUI that everybody can analyze easily. And a simple operation can collect and analyze active data. Also, we can decrease much time and endeavor by using this forensic tool that support reliable data.

• The Journal of Korean Obstetrics and Gynecology
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• v.34 no.2
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• pp.108-123
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• 2021

Objectives: The purpose of this study is to assess the methodological and reporting quality of the systematic reviews in the Journal of Korean obstetrics and gynecology. Methods: Systematic reviews in the Journal of Korean obstetrics and gynecology were selected from January 1987 to February 2021, by searching Koreanstudies Information Service System (KISS) and the search system of the Society of Korean medicine obstetrics and gynecology. The methodological and reporting quality was assessed using A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR 2) tool and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Results: Total of 19 systematic reviews were finally included for this study. The levels of methodological quality were low in 63.2% and very low in 36.8%. As a result of evaluating the reporting quality, 22 to 15 (average 18.6) items out of 27 items (81.5 to 55.6%) were reported. Conclusions: The results of a systematic review are helpful in giving a high level of evidence. In order to improve the quality of systematic reviews published in the Journal of Korean Obstetrics and Gynecology, it is necessary to perform and report according to the the PRISMA checklist and AMSTAR 2.

• Journal of Society of Preventive Korean Medicine
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• v.23 no.2
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• pp.67-76
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• 2019

Objectives : The publication of systematic reviews (SRs) has increased significantly over the years, and systematic reviews are considered to have the strongest evidence as they are at the top of the hierarchy of evidence pyramid. In this study, a thorough assessment of all SRs published in Journal of Society of Preventive Korean Medicine (JSPKM) was performed to evaluate their reporting quality and methodological quality to better improve the quality of SRs in JSPKM. Methods : JSPKM website was searched to include all SRs published in JSPKM from 1997 to 2018. Two independent researchers assessed the SRs using A MeaSurement Tool to Assess systematic Reviews (AMSTAR, formerly known as Assessment of Multiple Systematic Reviews) tool checklist for methodological quality assessment, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline checklist for reporting quality assessment. Results : Out of 618 published articles published in JSPKM from 1997 to 2018, only 3 SRs were identified as SRs. For AMSTAR methodological quality scoring, the average score of 3 SRs was 3.0 out of 11 which is low quality level. For PRISMA reporting quality items, the 3 SRs reported 17.3 items on average out of 27 items. The 3 identified SRs did not provide information on protocol or registration which is included in both AMSTAR assessment tool and PRISMA guideline. Conclusions : Improvements on reporting quality and methodological quality of SRs using relevant tools or guidelines are needed to assure the quality of SRs published in JSPKM so that their conclusions will be more transparent and reliable for decision-making in healthcare and the best clinical practice.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.154-166
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• 2009

Database query and reporting tools, OLAP tools and data mining tools are typical front-end tools in Business Intelligence environment which is able to support gathering, consolidating and analyzing data produced from business operation activities and provide access to the result to enterprise's users. Traditional reporting tools have an advantage of creating sophisticated dynamic reports including SQL query result sets, which look like documents produced by word processors, and publishing the reports to the Web environment, but data source for the tools is limited to RDBMS. On the other hand, OLAP tools and data mining tools have an advantage of providing powerful information analysis functions on each own way, but built-in visualization components for analysis results are limited to tables or some charts. Thus, this paper presents a system that integrates three typical front-end tools to complement one another for BI environment. Traditional reporting tools only have a query editor for generating SQL statements to bring data from RDBMS. However, the reporting tool presented by this paper can extract data also from OLAP and data mining servers, because editors for OLAP and data mining query requests are added into this tool. Traditional systems produce all documents in the server side. This structure enables reporting tools to avoid repetitive process to generate documents, when many clients intend to access the same dynamic document. But, because this system targets that a few users generate documents for data analysis, this tool generates documents at the client side. Therefore, the tool has a processing mechanism to deal with a number of data despite the limited memory capacity of the report viewer in the client side. Also, this reporting tool has data structure for integrating data from three kinds of data sources into one document. Finally, most of traditional front-end tools for BI are dependent on data source architecture from specific vendor. To overcome the problem, this system uses XMLA that is a protocol based on web service to access to data sources for OLAP and data mining services from various vendors.

• The Journal of Pediatrics of Korean Medicine
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• v.34 no.1
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• pp.26-36
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• 2020

Objectives The purpose of this study is to assess the reporting quality and methodological quality of systematic reviews from the Journal of Pediatrics of Korean Medicine. Methods Systematic reviews were selected from the Journal of Pediatrics of Korean Medicine (JPKM) by utilizing Oriental Medicine Advanced Searching Integrated System (OASIS) and JPKM homepage. Two independent researchers assessed the reporting quality through Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline checklist, and assessed the methodological quality of systematic review through Assessment of Multiple Systematic Reviews (AMSTAR) 2 tool checklist. Results Four systematic reviews were finally selected for the assessment. When assessed by PRISMA, three literatures were little insufficient, and one literature was sufficient. When assessed by AMSTAR 2, three literatures were moderate quality, and one literature was critically low quality. Also, all of the reviews had no information about 'Protocol and registration', 'publication bias', and 'conflicts of interest'. Conclusions Systematic review is important for Journal of Pediatrics of Korean Medicine and Korean Medicine Society. Efforts are needed to improve the reporting and methodological quality of the systematic reviews through PRISMA and AMSTAR 2.

• Journal of Information Technology and Architecture
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• v.11 no.2
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• pp.131-141
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• 2014

Refining the monitoring and evaluation reporting is an important thing in e-Government. Indonesia which has had e-Government roadmap since 2000, has not had the systematic mechanism to monitor and evaluate e-Government in which the report can be easily accessed by the public and used to be the best practice to improve other e-Government implementation. Enterprise architecture (EA) has the major objective to straighten an enterprise to its necessary requirements. It can be used to propose the required system and that was the purpose of this paper. It was started by reviewing the literature about e-Government monitoring and evaluation, using quality of service as the means, and understanding TOGAF as one of EA framework. The second step was comparing EA and the evaluation of e-Government in Korea and Indonesia to get the best practices. And the last step was creating EA for the monitoring and evaluation reporting system based on Korea and the literature reviewed. It is expected that the formulized EA can be a tool to improve e-Government implementation in Indonesia.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1016-1035
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• 2023

Corporate tax avoidance has been the subject of international debate since the Enron scandal and has raised awareness of the need for greater transparency in financial markets. Efforts have been made to strengthen financial reporting requirements and meet the needs of investors and other stakeholders, including digitalization of financial reporting through Extensible Business Reporting Language (XBRL). This study examines the impact of the mandatory adoption of XBRL on corporate tax avoidance. We tested our predictions using a panel dataset of Indonesian firms listed on the IDX stock exchange. Based on available information in the DATASTREAM database covering the 2013-2017 period, we used two proxies for tax avoidance i.e., GAAP effective tax rate and current effective tax rate. We estimated multiple regression model including industry and year fixed effects. The results show that XBRL implementation has reduced corporate tax avoidance. These findings suggest that improving corporate transparency through XBRL could play a deterrent tool to corporate tax avoidance. The results of this study should be useful to tax authorities and accounting standard setters supporting the benefits of digitalizing financial reporting and continuing to complete XBRL taxonomies around the world.

• Journal of Korean Elementary Science Education
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• v.25 no.4
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• pp.407-418
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• 2006

The purpose of this study was to survey the problem of teachers' narrative reporting of children's science learning in elementary school report cards. For the purposes of this study, a questionnaire, comprised of 6 questions and an analysis tool (Cronbach's $\alpha=.70$) were developed to categorize the answers. The survey was conducted by 53 teachers, who are currently taking 5th ade in elementary school, and the results are as follows: First, they interpreted the same content of report cards in a variety of different ways. Second, they exhibited a number of different principles and criteria in terms of preparing the content of narrative report cards. Third, they experienced difficulties in preparing narrative report cards on science teaming which required explanation of complete processes. Fourth, most teachers surveyed answered that the content of their narrative reports on science learning did not communicate specifically the students' achievement and further studies. Fifth, the activities related to preparing the content of the science learning on narrative reports was widely perceived to be useless for teachers' professional development. Finally, teachers made a number of alternative proposals to overcome the current, perceived problems of teachers' narrative reporting for children's science learning in report cards. Based on the results of this analysis, alternative forms and content of narrative reports on science learning were discussed.