scholarly journals KUALITAS SUBYEKTIF SIPUS V3 DAN INFORMASI KELUARANNYA SEBAGAI PENDUKUNG KEPUTUSAN

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Maryono Maryono ◽  
Tri Septiyantono
Keyword(s):  
Decision Making ◽  
Software Quality ◽  
Information Quality ◽  
Statistical Information ◽  
Subjective Quality ◽  
Time Behavior ◽  
Library Automation ◽  
Planning Policy ◽  
Indicator Score

This research entitled "The Subjective Quality of Sipus V3 software and its Information Output as a Support for Decision Making" was motivated by several problems happening during two years in the application of the software. Such automation software is expected to be able to support the success of library services and to produce statistical information for a decision making. The research aims to find out the quality of Sipus V3 software and its statistical information output, and the use of the output for supporting decision making. The research describes the subjective quality of Sipus V3 software, its statistical information output, and the use of the output in decision making process. The research employs a questionnaire method to collect data and its respondents are 44 librarians involving in Sipus V3 and 26 persons working at the information management department responsible for the statistic output of Sipus V3. By using a mean method for each indicator value, the result of the research shows that the high indicator score of Sipus V3 software quality as follows: usability-operability 3,75; efficiency of resources 3,75; efficiency of time behavior 3,68; usability-understandability 3,64; functionality-suitability 3,55; maintainability-stability for the rules of lending period and the number of items borrowed 3,43; reliabilityrecoverability 3,30; and maintainability-stability for holiday/closing days 3,20. In contrast, the low indicator score can be seen in the following: functionality-accuracy 2,84; and reliability-maturity 2,68. Furthermore the indicator score of Sipus V3 statistical information which is high is timeliness 3,31; conciseness 3,23; relevancy 3,15; and completeness 3,15. Whereas the low indicator score is accuracy 2,92. The use of Sipus V3 statistical information is very low, i.e. planning policy of circulation services 2,96; planning policy of collection development 2,88; library planning 2,69; and staffing for circulation staff 2,65. Keywords : library automation, software quality, information quality, decision support system

scholarly journals Do multidisciplinary cancer care teams suffer decision-making fatigue: an observational, longitudinal team improvement study

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027303 ◽  
Author(s):  
Tayana Soukup ◽  
Tasha A K Gandamihardja ◽  
Sue McInerney ◽  
James S A Green ◽  
Nick Sevdalis
Keyword(s):  
Decision Making ◽  
Cancer Care ◽  
Information Quality ◽  
Primary Outcome ◽  
Audit And Feedback ◽  
Case Review ◽  
Quality Of Information ◽  
High Workload ◽  
Assess Quality

ObjectiveThe objective of this study was to examine effectiveness of codesigned quality-improving interventions with a multidisciplinary team (MDT) with high workload and prolonged meetings to ascertain: (1) presence and impact of decision-making (DM) fatigue on team performance in the weekly MDT meeting and (2) impact of a short meeting break as a countermeasure of DM fatigue.Design and interventionsThis is a longitudinal multiphase study with a codesigned intervention bundle assessed within team audit and feedback cycles. The interventions comprised short meeting breaks, as well as change of room layout and appointing a meeting chair.Setting and participantsA breast cancer MDT with 15 members was recruited between 2013 and 2015 from a teaching hospital of the London (UK) metropolitan area.MeasuresA validated observational tool (Metric for the Observation of Decision-making) was used by trained raters to assess quality of DM during 1335 patient reviews. The tool scores quality of information and team contributions to reviews by individual disciplines (Likert-based scores), which represent our two primary outcome measures.ResultsData were analysed using multivariate analysis of variance. DM fatigue was present in the MDT meetings: quality of information (M=16.36 to M=15.10) and contribution scores (M=27.67 to M=21.52) declined from first to second half of meetings at baseline. Of the improvement bundle, we found breaks reduced the effect of fatigue: following introduction of breaks (but not other interventions) information quality remained stable between first and second half of meetings (M=16.00 to M=15.94), and contributions to team DM improved overall (M=17.66 to M=19.85).ConclusionQuality of cancer team DM is affected by fatigue due to sequential case review over often prolonged periods of time. This detrimental effect can be reversed by introducing a break in the middle of the meeting. The study offers a methodology based on ‘team audit and feedback’ principle for codesigning interventions to improve teamwork in cancer care.

High Performance Work Systems and Organizational Outcomes: The Mediating Role of Information Quality

ILR Review ◽  
2003 ◽  
Vol 56 (4) ◽  
pp. 590-605 ◽  
Author(s):  
Gil A. Preuss
Keyword(s):  
Decision Making ◽  
High Performance ◽  
Information Quality ◽  
Knowledge Work ◽  
Care Hospital ◽  
Quality Of Information ◽  
Work Systems ◽  
High Performance Work Systems ◽  
Performance Quality

Using data on registered nurses and nursing assistants in 50 acute-care hospital units, the author explores the relationships among high performance work systems, information quality, and performance quality within a context shaped by equivocal information—information that can be interpreted in multiple and sometimes conflicting ways. He finds that the quality of information available for decision-making, which largely depends on the interpretative skills of the workers who are exposed to important equivocal information, partially mediates how employee knowledge, work design, and total quality management systems affect organizational performance (which is measured as the inverse of medication error incidence). Providing employees with extensive relevant knowledge and enabling them to use their skills during even seemingly routine tasks improves the effective quality of information they bring to decision-making, and thereby promotes high performance quality.

scholarly journals Penentuan Prioritas Faktor Yang Mempengaruhi Kualitas Website Unika De La Salle Manado Dengan Metode Analytical Hierarchy Process

2018 ◽  
Author(s):  
Junaidy Budi Sanger
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Teaching And Learning ◽  
Information Quality ◽  
Human Perception ◽  
Internet Technology ◽  
System Quality ◽  
Eigen Values ◽  
Hierarchy Process

Unika De La Salle Manado is one of the university in Indonesia who have been using internet technology to support variety of activities such as teaching and learning, administration and other supporting activities. One of service that was established by this university is the university’s website. The quality of website assessed by human perception which is very subjective because it involves many variables in the process of decision making. Evaluation of the level of interest of these factors are important to understand. Analytical Hierarchy Process (AHP) is a method to evaluate various attributes in the decision. The objectives of this study was to determine factors that affect Unika De La Salle Manado website users using AHP method. The result showed there were four main criteria ranked by priority such as system quality, information quality, service quality, and attractiveness with each eigen values of 0.3665, 0.2323, 0.2054, and 0.1958. Overall on the alternative choice enjoyment got the highest eigen values of 0.5049 and the lowest is an alternative currency with eigen values of 0.0942. This research is expected to provide an overview on the factors of the quality of the website in order to increase the quality of Unika De La Salle Manado website and can be made for decision making to related parties.

scholarly journals Decision making in the context of business intelligence and data quality

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
L. Marshall ◽  
R. De la Harpe
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Information Quality ◽  
Poor Quality ◽  
Quality Of Data ◽  
Literature Study ◽  
Business Confidence ◽  
The Right

[email protected] Making decisions in a business intelligence (BI) environment can become extremely challenging and sometimes even impossible if the data on which the decisions are based are of poor quality. It is only possible to utilise data effectively when it is accurate, up-to-date, complete and available when needed. The BI decision makers and users are in the best position to determine the quality of the data available to them. It is important to ask the right questions of them; therefore the issues of information quality in the BI environment were established through a literature study. Information-related problems may cause supplier relationships to deteriorate, reduce internal productivity and the business' confidence in IT. Ultimately it can have implications for an organisation's ability to perform and remain competitive. The purpose of this article is aimed at identifying the underlying factors that prevent information from being easily and effectively utilised and understanding how these factors can influence the decision-making process, particularly within a BI environment. An exploratory investigation was conducted at a large retail organisation in South Africa to collect empirical data from BI users through unstructured interviews. Some of the main findings indicate specific causes that impact the decisions of BI users, including accuracy, inconsistency, understandability and availability of information. Key performance measures that are directly impacted by the quality of data on decision-making include waste, availability, sales and supplier fulfilment. The time spent on investigating and resolving data quality issues has a major impact on productivity. The importance of documentation was highlighted as an important issue that requires further investigation. The initial results indicate the value of

scholarly journals Methodological foundation for improving the quality of intelligent decision-making system software

2021 ◽  
pp. 55-64
Author(s):  
М.А. Павленко ◽  
С.В. Осієвський ◽  
Ю.В. Данюк
Keyword(s):  
Decision Making ◽  
Detailed Analysis ◽  
Quality Indicators ◽  
Software Quality ◽  
Maturity Model ◽  
Software Module ◽  
Design Quality ◽  
Intelligent Decision Making ◽  
Intelligent Decision

On the basis of a detailed analysis, existing terminological interpretations of the concept of "software quality" have been generalized, conclusions are drawn about the correspondence of the terms used to assess the quality of general software in the process of assessing the quality of software of intelligent decision-making systems (IDMS). It has been proved that the quality of the IDMS software is a complex multi-criteria indicator that takes into account not only the performance of the individual software module as a subsystem, but also the causal relationships of the elements of the software system itself. The main differences in software quality assessment between the functional and formal approaches are shown. The structure of the criterion of guarantor capacity of decision-making systems software has been investigated and conclusions have been drawn on the influence of its main components on the evaluation of IDMS software and on the provision of reliable computing process. On the basis of the analysis of the list of attributes and the quality metric of the IDMS software, it is established that the guarantee is determined by the reliability of the software structure itself and is characterised by the restoration of the functional state after failures or failures. The interrelationship and influence of IDMS software design quality indicators on the characteristics and sub-characteristics of the IDMS software is established, an example of the interrelationship between characteristics (factors) and quality indicators, the method of measuring quality indicators and design processes is given. On the basis of the conducted research, IDMS software denial regimes have been defined and their impact on the decision-making process has been shown. Detailed classes of failures and their influence on compliance of IDMS software with the task of development are shown. It has been shown that the reliability of IDMS is a dynamic concept, manifested in time, and is strongly dependent on the presence / absence of defects in the interaction. A detailed analysis of methods of software quality assurance and control has been carried out, and conclusions have been drawn on the possibility of their application IDMS software. The maturity model of the IDMS software has been improved and validated, and the maturity structure of the software as an indicator of the quality of the IDMS has been introduced.

96 The pediatric health app landscape: Results of an environmental scan

2021 ◽  
Vol 26 (Supplement_1) ◽  
pp. e69-e69
Author(s):  
James Benoit ◽  
Lisa Hartling ◽  
Shannon Scott
Keyword(s):  
Health Information ◽  
Information Quality ◽  
First Aid ◽  
Mobile App ◽  
Subjective Quality ◽  
Pediatric Health ◽  
Environmental Scan ◽  
Childhood Illnesses ◽  
Health Apps

Abstract Primary Subject area Technology Background Providing resources that aid in detection and identification of serious childhood illness helps parents feel better equipped to assess their child’s health and significantly changes parental health-seeking behaviours. Some of these resources are limited by accessibility and scalability. Remote locations and staffing limitations create challenges for parents aiming to access health information about their child. Mobile health (mHealth) apps offer a scalable, accessible solution for improving health literacy by enabling access to health information through mobile devices. Objectives To systematically identify all Canadian and US child health apps for parents. Design/Methods We used an environmental scan approach – a review designed to summarize information for decision makers. The Android and Apple app marketplaces were used as search platforms. We built a list of search terms and used these platforms to search for apps targeted at parents, related to pediatric illnesses in US and Canada. Then once we determined that the app met the inclusion criteria, each included app was assessed using the Mobile App Rating Scale (MARS), a validated tool for assessing health apps. The MARS examines apps on five domains: engagement, functionality, aesthetics, information quality, and subjective quality. Results 650 unique apps were screened and 53 apps were included. On a scale of 1-5, the 53 apps assessed had an average Engagement score of 2.82/5 (θ = 0.86), Functionality of 3.98/5 (θ = 0.72), Aesthetics of 3.09/5 (θ = 0.87), Information quality of 2.73/5 (θ = 1.32), and Subjective quality of 2.2 (θ = 0.79). App scores ranged from 2.2/5 to 4.5/5 (µ= 3.2, θ =0.6).The top three apps were Baby and Child First Aid (4.5/5), Ada (4.5/5), and HANDi Paediatric (4.2/5). Taken together, the top three apps covered topics of emergency pediatric first aid, identification of (and appropriate response to) common childhood illnesses, a means of checking symptoms, and a means of responding to emergency situations. There was a lack of Canadian-based app content available to parents in both marketplaces. In addition, published evidence of the included apps’ impact was poor: only 5/53 apps had an evidence base showing the app had been trialed. Conclusion There is a need for evidence-based apps of Canadian origin related to childhood illnesses. The results of this scan created a picture of the health app landscape by examining trends in apps related to pediatric health that are readily available to parents, and by identifying gaps in app design that can be addressed.

scholarly journals Cooperative Loitering Munition Swarm Online Patrolling Route Planning with Nonlinear Seeker Measurement

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Haifeng Ling ◽  
Hongchuan Luo ◽  
Linyuan Bai ◽  
Tao Zhu ◽  
Qing Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Cooperative Control ◽  
Information Quality ◽  
Autonomous Systems ◽  
Route Planning ◽  
Nonlinear Property ◽  
Airborne Radar ◽  
Autonomous Decision ◽  
Non Gaussian

With the development of autonomous systems, the operational use of loitering munition is shifting from the following of a preplanned fixed route without communication to smart decision-making and collaborative cooperation with sharing information. In this paper, we study the autonomous decision-making and cooperative control strategy of online patrolling for a swarm of loitering munitions using communication to coordinate their route based on maximizing the information they gathered in the operation region. Taking the non-Gaussian nonlinear property of airborne radar seeker into account, we utilized a particle filter-based method to evaluate or to predict the information quality of each action candidate. We also implemented a coordinate descent scheme to enable a distributed and scalable swarm decision-making. Simulation results show that the proposed method provides a better estimation than baselines without the need for external or centralized decision agent.

scholarly journals Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University (Preprint)

2018 ◽  
Author(s):  
Marco Bardus ◽  
Ahmed Ali ◽  
Farah Demachkieh ◽  
Ghassan Hamadeh
Keyword(s):  
Weight Management ◽  
Weight Control ◽  
Information Quality ◽  
Rating Scale ◽  
Mode Of Delivery ◽  
Nonparametric Tests ◽  
Mobile App ◽  
Subjective Quality ◽  
User Centered

BACKGROUND Evaluating the quality of mobile health apps for weight loss and weight management is important to understand whether these can be used for obesity prevention and treatment. Recent reviews call for more research on multidimensional aspects of app quality, especially involving end users, as there are already many expert reviews on this domain. However, no quantitative study has investigated how laypersons see popular apps for weight management and perceive different dimensions of app quality. OBJECTIVE This study aimed to explore how laypersons evaluate the quality of 6 free weight management apps (My Diet Coach, SparkPeople, Lark, MyFitnessPal, MyPlate, and My Diet Diary), which achieved the highest quality ratings in a related and recent expert review. METHODS A user-centered study was conducted with 36 employees of a Lebanese university. Participants enrolled in the study on a rolling basis between October 2016 and March 2017. Participants were randomly assigned an app to use for 2 weeks. App quality was evaluated at the end of the trial period using the Mobile App Rating Scale user version (uMARS). uMARS assesses the dimensions of engagement, functionality, aesthetics, information, and subjective quality on 5-point scales. Internal consistency and interrater agreement were examined. The associations between uMARS scores and users’ demographic characteristics were also explored using nonparametric tests. Analyses were completed in November 2017. RESULTS Overall, the 6 apps were of moderately good quality (median uMARS score 3.6, interquartile range [IQR] 0.3). The highest total uMARS scores were achieved by Lark (mean 4.0 [SD 0.5]) and MyPlate (mean 3.8 [SD 0.4]), which also achieved the highest subjective quality scores (Lark: mean 3.3 [SD 1.4]; MyPlate: mean 3.3 [SD 0.8]). Functionality was the domain with the highest rating (median 3.9, IQR 0.3), followed by aesthetics (median 3.7, IQR 0.5), information (median 3.7, IQR 0.1), and engagement (median 3.3, IQR 0.2). Subjective quality was judged low (median 2.5, IQR 0.9). Overall, subjective quality was strongly and positively related (P<.001) with total uMARS score (ρ=.75), engagement (ρ=.68), information, and aesthetics (ρ=.60) but not functionality (ρ=.40; P=.02). Higher engagement scores were reported among healthy (P=.003) and obese individuals (P=.03), who also showed higher total uMARS (P=.04) and subjective quality (P=.05) scores. CONCLUSIONS Although the apps were considered highly functional, they were relatively weak in engagement and subjective quality scores, indicating a low propensity of using the apps in the future. As engagement was the subdomain most strongly associated with subjective quality, app developers and researchers should focus on creating engaging apps, holding constant the functionality, aesthetics, and information quality. The tested apps (in particular Lark and MyPlate) were perceived as more engaging and of higher quality among healthy, obese individuals, making them a promising mode of delivery for self-directed interventions promoting weight control among the sampled population or in similar and comparable settings.

scholarly journals Do multidisciplinary cancer care teams suffer decision-making fatigue? An observational, longitudinal team improvement study

2019 ◽  
Author(s):  
Tayana Soukup ◽  
Tasha Gandamihardja ◽  
Nick Sevdalis ◽  
James Green
Keyword(s):  
Decision Making ◽  
Cancer Care ◽  
Information Quality ◽  
Primary Outcome ◽  
Audit And Feedback ◽  
Case Review ◽  
Quality Of Information ◽  
High Workload ◽  
Assess Quality

Objective: The objective of this study was to examine effectiveness of co-designed quality-improving interventions with a multidisciplinary team (MDT) with high workload and prolonged meetings to ascertain: (1) presence and impact of decision-making (DM) fatigue on team performance in the weekly MDT meeting, and (2) impact of a short meeting break as a countermeasure of DM fatigue.Design and interventions: This is a longitudinal multiphase study with a co-designed intervention bundle assessed within team audit and feedback cycles. The interventions comprised short meeting breaks, as well as change of room layout and appointing a meeting chair.Setting and participants: A breast cancer MDT with 15 members was recruited between 2013 and 2015 from a teaching hospital of the London (UK) metropolitan area. Measures: A validated observational tool (Metric for the Observation of Decision-making, MDT-MODe) was used by trained raters to assess quality of DM during 1,335 patient-reviews. The tool scores quality of information and team contributions to reviews by individual disciplines (Likert-based scores), which represent our two primary outcome measures. Results: Data were analysed using multivariate analysis of variance. DM fatigue was present in the MDT meetings: quality of information (M=16.36 to M=15.10) and contribution scores (M=27.67 to M=21.52) declined from 1st to 2nd half of meetings at baseline. Of the improvement bundle, we found breaks reduced the effect of fatigue: following introduction of breaks (but not other interventions) information quality remained stable between 1st and 2nd half of meetings (M=16.00 to M=15.94), and contributions to team DM improved overall (M=17.66 to M=19.85). Conclusion: Quality of cancer team DM is affected by fatigue due to sequential case-review over often prolonged periods of time. This detrimental effect can be reversed by introducing a break in the middle of the meeting. The study offers a methodology based on ‘team audit and feedback’ principle for co-designing interventions to improve teamwork in cancer care.

Evaluation of the Academic Setting in Spain 1This study was financed by the University of Oviedo.

1995 ◽  
Vol 11 (2) ◽  
pp. 133-137 ◽  
Author(s):  
Juan Fernández ◽  
Miguel A. Mateo ◽  
José Muñiz
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Social Climate ◽  
Three Dimensions ◽  
Academic Setting ◽  
Teaching And Research ◽  
Evaluation Questionnaire ◽  
University Teachers ◽  
The University

The conditions are investigated in which Spanish university teachers carry out their teaching and research functions. 655 teachers from the University of Oviedo took part in this study by completing the Academic Setting Evaluation Questionnaire (ASEQ). Of the three dimensions assessed in the ASEQ, Satisfaction received the lowest ratings, Social Climate was rated higher, and Relations with students was rated the highest. These results are similar to those found in two studies carried out in the academic years 1986/87 and 1989/90. Their relevance for higher education is twofold because these data can be used as a complement of those obtained by means of students' opinions, and the crossing of both types of data can facilitate decision making in order to improve the quality of the work (teaching and research) of the university institutions.

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