Analysis of various sweeteners in low-sugar mixed fruit jam: equivalent sweetness, time-intensity analysis and acceptance test

2013 ◽  
Vol 48 (7) ◽  
pp. 1541-1548 ◽  
Author(s):  
Vanessa R. de Souza ◽  
Patrícia A. P. Pereira ◽  
Ana Carla M. Pinheiro ◽  
Helena M. A. Bolini ◽  
Soraia V. Borges ◽  
...  
Keyword(s):  
Acceptance Test ◽  
Intensity Analysis

Time–intensity analysis and acceptance test for traditional and light vanilla ice cream

2011 ◽  
Vol 44 (3) ◽  
pp. 677-683 ◽  
Author(s):  
Rafael Silva Cadena ◽  
Helena Maria André Bolini
Keyword(s):  
Ice Cream ◽  
Acceptance Test ◽  
Intensity Analysis

scholarly journals Investigation of Alcohol Factor Influence in Quantitative Descriptive Analysis and in the Time-Intensity Profile of Alcoholic and Non-Alcoholic Commercial Pilsen Beers Samples

Beverages ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 73
Author(s):  
Juliana A. Paixão ◽  
Elson Tavares Filho ◽  
Helena Maria André Bolini
Keyword(s):  
Product Quality ◽  
Bitter Taste ◽  
Descriptive Analysis ◽  
Sensory Profile ◽  
Acceptance Test ◽  
Intensity Analysis ◽  
Brewing Industry ◽  
Quantitative Descriptive Analysis ◽  
Quantitative Descriptive ◽  
Dynamic Profile

In recent years, non-alcoholic beers have presented a growth considered satisfactory and exciting for the brewing industry. Such growth is allied to a change in the consumer profile, in addition to changes in traffic laws. However, the consumer seeks a product considered healthier, but as tasty as the original. Thus, this study aimed to identify the influence of the alcoholic factor in sensory profile, through quantitative descriptive analysis and time intensity analysis of Pilsen beer samples. An acceptance test with 120 consumers of beer was performed. A quantitative descriptive analysis was carried out by 11 trained assessors to determine the sensory profile of beers. For identification of influences of alcohol factor in the dynamic profile of alcoholic flavor and bitter taste the time-intensity analysis were realized. The results demonstrate that alcohol factor influences both the quantitative descriptive profile and dynamic profile, in addition the correlations between the quantitative descriptive analysis (QDA®) and hedonic data show that the alcoholic flavor and the alcoholic aroma are attributes that contribute positively to acceptance of samples. In view of the results, studies such as the present are of great importance for the improvement of product quality, directly reflecting a greater acceptance of beer consumers.

Penentuan Metode Intensitas Hujan Berdasarkan Karakteristik Hujan dari Stasiun Pengamat Hujan Disekitar Kecamatan Karawang Timur

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Melisa Permatasari ◽  
M. Candra Nugraha ◽  
Etih Hartati
Keyword(s):  
Drainage System ◽  
Daily Rainfall ◽  
Intensity Analysis ◽  
Rain Intensity ◽  
Rainy Period ◽  
Discharge Plan ◽  
Calculation Results ◽  
Value Determination ◽  
Maximum Daily Rainfall ◽  
Method Approach

<p>The rain intensity is the high rainfall in unit of time. The length of rain will be reversed by the amount rain intensity. The shorter time the rain lasts, the greater of the intensity and re-period of its rain. The value of rain intensity is required to calculate the flood discharge plan on the drainage system planning area in East Karawang district. Determining the value rain intensity is required the maximum daily rainfall data obtained from the main observer stations in the Plawad station planning area. The method of determination rain intensity analysis can be done with three methods: Van Breen, Bell Tanimoto and Hasper der Weduwen. Selected method is based on the smallest deviation value. Determination deviation value is determined by comparing rain intensity value of Van Breen method, Bell Tanimoto, Hasper der Weduwen. By comparing rain intensity value of the Van Breen method, Bell Tanimoto, Hasper der Weduwen with the results of calculating three methods through the method approach Talbot, Sherman and Ishiguro. Calculation results show that the method of rain has smallest deviation standard is method Van Breen with Talbot approach for rainy period (PUH) 2, 5, 10, 25, 50 and 100 years.</p>

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

Whole-Field Indocyanine Green Intensity Analysis to Intraoperatively Predict Cerebral Hyperperfusion Syndrome Following Superficial Temporal Artery-Middle Cerebral Artery Bypass: A Retrospective Case-Control Study in 7-Year Experience With 112 Cases

2019 ◽  
Author(s):  
Yosuke Sato ◽  
Tatsuya Sugiyama ◽  
Tohru Mizutani
Keyword(s):  
Case Control Study ◽  
Superficial Temporal Artery ◽  
Temporal Artery ◽  
Case Control ◽  
Control Group ◽  
Intensity Analysis ◽  
Retrospective Case ◽  
Cerebral Hyperperfusion Syndrome ◽  
Cerebral Hyperperfusion ◽  
Control Study

Abstract BACKGROUND Intraoperative prediction of postoperative cerebral hyperperfusion syndrome (CHS) after cerebrovascular bypass surgery is challenging. OBJECTIVE To conduct a retrospective case-control study with indocyanine green (ICG) intensity analysis of the superficial temporal artery-middle cerebral artery (STA-MCA) bypass and investigate whether its washout pattern might be a marker for intraoperative prediction of CHS. METHODS Between 2012 and 2018, 6 of 112 patients (5.4%) that underwent STA-MCA bypass exhibited CHS. We selected 5 patients with CHS (3 with atherosclerotic cerebrovascular disease [ASCVD] and 2 with moyamoya) and 15 patients without CHS (60% ASCVD and 40% moyamoya) as a matched control group. During prebypass and postbypass, washout times (WTs) for the first 10%, 25%, 50%, and 75% of maximum ICG intensity measured in the whole-camera field were compared between groups. The changes in WT (ΔWT) from prebypass to postbypass for each ICG intensity level were compared between groups. The cutoff ΔWTs, sensitivities, and specificities were also calculated. RESULTS Postbypass WTs were significantly longer in the CHS group than the control group at all ICG intensities (P < .05). ΔWT was significantly greater in the CHS group than the control group for the first 10%, 25%, and 50% ICG intensities (P < .001). A cutoff ΔWT of ≥2.66 s for the first 50% ICG intensity showed a sensitivity of 100% and specificity of 100%. CONCLUSION We found that a ΔWT ≥2.66 s for the first 50% ICG intensity could be an intraoperative predictive factor for CHS.

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