An Acceptance Test for Fictions

2022 ◽  
pp. 175-222
Keyword(s):  
Acceptance Test

Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015

2017 ◽  
Vol 4 (2) ◽  
pp. 87-93
Author(s):  
Immanuel Luigi Da Gusta ◽  
Johan Setiawan
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Visualization ◽  
Health Sector ◽  
Medical Personnel ◽  
Database Systems ◽  
Process Time ◽  
Acceptance Test ◽  
Visual Data Mining ◽  
The Government

The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test). Index Terms—Dashboard, data visualization, disease, malaria, Tableau REFERENCES [1] S. Arianto, Understanding of learning and others, 2008. [2] Rainer; Turban, Introduction to Information Systems, Danvers: John Wiley & Sons, Inc, 2007. [3] V. Friedman, Data Visualization Infographics, Monday Inspirition, 2008. [4] D. A. Keim, "Information Visualization and Visual Data Mining," IEEE Transactions on Visualization and Computer Graphics 8.1, pp. 1-8, 2002. [5] Connolly and Begg, Database Systems, Boston: Pearson Education, Inc, 2010. [6] E. Hariyanti, "Pengembangan Metodologi Pembangunan Information Dashboard Untuk Monitoring kinerja Organisasi," Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, p. 1, 2008. [7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.

PERANCANGAN APLIKASI PEMESANAN CATERING BERBASIS MOBILE ANDROID

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Mamay Syani ◽  
Nindi Werstantia
Keyword(s):  
Data Storage ◽  
Research Methodology ◽  
Positive Response ◽  
User Acceptance ◽  
Extreme Programming ◽  
Accurate Information ◽  
Acceptance Test ◽  
Android Application ◽  
Order Process ◽  
Food Packages

Ordering catering is an activity undertaken by customers to buy products in the form of food packages. In Cimahi Catering catering ordering process is done by customers by coming directly to the location or calling to Cimahi Catering. Based on interviews with the authors related parties, in the process of ordering catering there are some customers who complain about the order process is due to take time, energy and more costs. In the case of recording data ordering was deemed less effective because the data is still conventional. This is at risk of logging errors. As a solution of these problems the authors build an Application Ordering Catering Based Android Mobile to assist in the process of ordering catering by customers and the management of reservation data catering by the Cimahi Catering. Research methodology used is Extreme Programming method. In making this application the author uses android programming base and MySQL as the data storage. This application is made to efficiently time, effort and produce accurate information. The results of testing the built application has a performance that suits the needs of the user. Based on the results of User Acceptance Test get a positive response with 85% percentage. Keyword: Android, application, catering, mobile, ordering, uat

ACCEPTANCE TEST EQUIPMENT FOR THE JARVIK 2000® AXIAL FLOW LVAD

ASAIO Journal ◽  
1999 ◽  
Vol 45 (2) ◽  
pp. 168
Author(s):  
E Marlinski ◽  
G Jacobs ◽  
J Albright ◽  
C Deirmengian ◽  
R Jarvik
Keyword(s):  
Axial Flow ◽  
Test Equipment ◽  
Acceptance Test ◽  
Jarvik 2000

Manufacturing, on-site installation and acceptance test activities of the MITICA vacuum vessel

2021 ◽  
Vol 169 ◽  
pp. 112473
Author(s):  
M. Valente ◽  
S. Manfrin ◽  
P. Zaccaria ◽  
A. Barzon ◽  
F. Degli Agostini ◽  
...  
Keyword(s):  
Acceptance Test ◽  
Vacuum Vessel

In Implementing a Metal 3D AM Machine

2018 ◽  
Vol 786 ◽  
pp. 356-363
Author(s):  
Tero Jokelainen ◽  
Kimmo Mäkelä ◽  
Aappo Mustakangas ◽  
Jari Mäkelä ◽  
Kari Mäntyjärvi
Keyword(s):  
Additive Manufacturing ◽  
Selective Laser Melting ◽  
Dimensional Accuracy ◽  
Acceptance Test ◽  
Aisi 316L ◽  
Laser Melting ◽  
Geometrical Accuracy ◽  
Machine Performance ◽  
Geometrical Features ◽  
Made In

Additive Manufacturing (AM) does not yet have a standardized way to measure performance. Here a AM machines dimensional accuracy is measured trough acceptance test (AT) and AM machines capability is tested trough test parts. Test parts are created with specific geometrical features using a 3D AM machine. Performance of the machine is then evaluated trough accuracy of test parts geometry. AM machine here uses selective laser melting (SLM) process. This machine has done Factory acceptance test (FAT) to ascertain this machine ́s geometrical accuracy with material AISI 316L. Manufacturer promises accuracy of ±0.05 mm. These parts are used as comparison to AT parts made in this study. After installation two AT parts are manufactured with AM machine. One with AISI 316L and one AlSi10Mg. Dimensional accuracy of geometrical features on these parts are then compared to FAT part and to one another. Machines capability is measured trough two test parts done with material AlSi10Mg. Two of the test parts are done at the same time using same model as the FAT. Parts are printed without supports and with features facing same directions. Features of these parts were then evaluated. Another test to find out AM machines capability was to create part consisting of pipes doing 90˚ angle resulting in horizontal and vertical holes. Dimensional accuracy and circularity of holes was measured. Through these tests machines capability is benchmarked.

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