Journal of Information Sciences and Computing Technologies Journal of information sciences and computing technologies en-US <p><strong>TRANSFER OF COPYRIGHT</strong></p> <p>JISCT is pleased to undertake the publication of your contribution to <strong>Journal of Information Sciences and Computing Technologies</strong></p> <p>The copyright to this article is transferred to JISCT(including without limitation, the right to publish the work in whole or in part in any and all forms of media, now or hereafter known) effective if and when the article is accepted for publication thus granting JISCT all rights for the work so that both parties may be protected from the consequences of unauthorized use.</p> (Managing Editor) (JISCT Support Team) Fri, 21 Sep 2018 02:57:34 +0000 OJS 60 Newborn Health Data Transfer in the Cape Coast Metropolis, Ghana Newborn data is important for decision making and planning purposes. Data transfer from facilities to district, regional and national levels must have high level of quality to benefit from its use for planning and decision making. The objective of this research was to assess the quality and accuracy of newborn health data transfer from facilities to the DHIMS II application. The study was conducted within the Cape Coast Metropolis. Four facilities (two public and two private hospitals) were randomly selected for the study. Facilities registers were compared with summary sheets as well as the data in DHIMS II. The study revealed that there were data inaccuracies across all the indicators ranging from -46.5% to 89.3%. Percentage errors 1 and 3 were extremely high due to the inability of some facilities to produce aggregated forms. Percentage error 2 was generally low for all indicators as compared to percentage errors 1 and 3 except for institutional neonatal deaths with percentage error of 89.3%. The others range from -1.4% to 4.4% which means that there is very little error in transferring the facility register data to the web-based DHIMS-II. The overall percentage errors 1, 2 and 3 in transfer of the data were 7.5% (95% CI = 6.5% to 8.6%), 43.1% (95% CI = 41.8% to 44.3%) and 3.6% (95% CI = 3.2% to 4.0%) respectively. High-quality newborn health is essential for planning and decision making to enhance service quality. Emmanuel Kusi Achampong, Godwin Adzakpah, Richard Okyere Boadu, Obed Owumbornyi Lasim, Richard Opoku ##submission.copyrightStatement## Fri, 21 Sep 2018 02:57:33 +0000 A New Hand Based Biometric Modality & An Automated Authentication System <p>With increased adoption of smartphones, security has become important like never before. Smartphones store confidential information and carry out sensitive financial transactions. Biometric sensors such as fingerprint scanners are built in to smartphones to cater to security concerns. However, due to limited size of smartphone, miniaturised sensors are used to capture the biometric data from the user. Other hand based biometric modalities like hand veins and finger veins need specialised thermal/IR sensors which add to the overall cost of the system. In this paper, we introduce a new hand based biometric modality called Fistprint.&nbsp; Fistprints can be captured using digital camera available in any smartphone. In this work, our contributions are: i) we propose a new non-touch and non-invasive hand based biometric modality called fistprint. Fistprint contains many distinctive elements such as fist shape, fist size, fingers shape and size, knuckles, finger nails, palm crease/wrinkle lines etc. ii) Prepare fistprint DB for the first time. We collected fistprint information of twenty individuals - both males and females aged from 23 years to 45 years of age. Four images of each hand fist (total 160 images) were taken for this purpose. iii) Propose <u>F</u>istprint <u>A</u>utomatic <u>A</u>uthentication <u>S</u>ys<u>T</u>em (FAAST). iv) Implement FAAST system on Samsung Galaxy smartphone running Android and server side on a windows machine and validate the effectiveness of the proposed modality.</p> <p>The experimental results show the effectiveness of fistprint as a biometric with GAR of 97.5 % at 1.0% FAR.</p> Nirmal Pandey, Om Prakash Verma, Amioy Kumar ##submission.copyrightStatement## Thu, 06 Dec 2018 06:18:49 +0000 Features of Programming Languages and Algorithm for Calculating the Effectiveness <p>The article provides information on the basics of software engineering, programming and programming languages. Software engineering is also defined as a systematic approach to the analysis, scheduling, design, evaluation, implementation, testing, service and software upgrading. Thinking and the peculiarities of the algorithmic peculiarities are clarified, and the mechanism of their use in programming is explained. Programming theory incorporates the formal methods based on software specifications and the method based on the mathematical subjects and provides program development using mathematical symbols and ensures the accuracy to obtain the required results on the computer. The principles of using graphs in programming and dynamic programming are analyzed. The concepts of programming technology and programming languages ​​are described. The criteria for evaluating the programming languages ​​are identified and an algorithm is developed for calculating the effectiveness.</p> Shafagat Mahmudova ##submission.copyrightStatement## Tue, 11 Dec 2018 11:32:30 +0000 Using Quality Improvement Process to Enhance Health Staff Confidence and Competence in Health Information System Tasks in the Ejisu Juaben Municipal Health Directorate, Ghana <p><span lang="EN-US" style="margin: 0px; line-height: 115%; font-family: 'Times New Roman',serif; font-size: 10pt;">Routine Health Information is faced with huge challenges which reduce its decision making and planning yields. The objective of the study was 1) to undertake competency gap analysis of health staff’s performance in routine health information tasks, 2) implement quality improvement process training module, 3) to measure the improvement in the competency level of health staff in performing RHIS tasks after application of Quality Improvement Process principles. A quasi-experimental, uncontrolled before and after study was conducted in 18 health facilities in the Ejisu Juaben Municipal Health Directorate, Ghana. The study involved assessment of competency level and training of 141 staff using Data Quality Improvement Process (DQIP) training module over a twelve-month period. RHIS task competence was measured by a pencil and paper test that measured the ability of respondents to perform calculations, and to interpret and use RHIS results, based on the same indicators as used dimension of confidence level. The study found huge competency gaps among staff amidst high confidence in undertaking RHIS tasks while their performance of these tasks scored objectively, yielded low average scores of improvements in competency gaps; data analysis (-36.9%: +3.6%), data interpretation (-42.2%: +9.8%) and use of data (-44.6%: +2.6%) in the baseline and endline evaluations respectively. The study concludes that Quality Improvement Process (QIP) centred training drives the effectiveness of staff competency in performing RHIS tasks, but not necessarily their confidence level.</span></p> Richard Okyere Boadu, Peter Agyei-Baffour, Anthony Kwaku Edusei ##submission.copyrightStatement## Tue, 08 Jan 2019 11:27:47 +0000