Personal Health Assistant on Android Mobile Device: Sleeping, Nutrition and Exercise

2014 ◽  
Vol 931-932 ◽  
pp. 1365-1369
Author(s):  
Kiatateeti Anusornpakdee ◽  
Matugorn Limpanadusadee ◽  
Sangsuree Vasupongayya ◽  
Sinchai Kamolphiwong
Keyword(s):  
Data Analysis ◽  
Good Health ◽  
Nutrition Information ◽  
Competitive Environment ◽  
Personal Health ◽  
Night Sleep ◽  
Health Advice ◽  
Good Nutrition ◽  
Health Assistant ◽  
Data Analysis Methods

Good health can be achieved by maintaining good behaviors such as a good night sleep, enough exercise and good nutrition. However, the competitive environment nowadays prevents such good behaviors. Thus, this work aims to develop an application on mobile devices that is able to (1) record the daily sleeping, exercise and nutrition information, (2) analyze the collected information in order to provide a notification or an alarm, and (3) present the analyzed results in a simple and easy to understand format. The proposed application can collect data from other application and from the users. A set of simple data analysis methods is performed on the collected data in order to provide a personal health advice based on the user pre-defined preferences.

PENGARUH KUALITAS PRODUK, HARGA, MEREK DAN SALURAN DISTRIBUSI TERHADAP VOLUME PENJUALAN PADA PT. GELANG GEMILANG JAYA BELLA SPRING BED SEMARANG

2020 ◽  
Vol 15 (1) ◽  
pp. 217-230
Author(s):  
Untung Widodo
Keyword(s):  
Data Analysis ◽  
Product Quality ◽  
Sampling Technique ◽  
Distribution Channels ◽  
Sales Volume ◽  
Independent Variables ◽  
Variable Distribution ◽  
Data Analysis Methods ◽  
Variable Quality

This research was conducted in order to test how much influence product quality, price and brand to the volume of sales at PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Independent variables include variable product quality, price and brand while the dependent variable is the volume of sales.In determining the data to be studied sampling technique used is the census. Census is a sampling technique when all members of the population used as a sample .. Respondents were selected is the consumer stores PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Thus obtained sample was 50 respondents. Data analysis methods used to perform hypothesis testing is multiple linear regression analysis.Based on the results of research that has been conducted on all data obtained, the importance of the research that 1). There is a positive and significant effect of the variable quality of the product (X1) to sales volume (Y). 2). There is a positive and significant impact on price variable (X2) to sales volume (Y). 3). There is a positive and significant impact on brand variables (X3) to sales volume (Y). 4). There is a positive and significant effect of the variable distribution channels (X4) to sales volume (Y)

MENGGAPAI TENAGA TERAMPIL MENGELOLA DANA DESA DI SMK PGRI 2 CIBINONG BOGOR

2020 ◽  
Vol 5 (2) ◽  
pp. 219-228
Author(s):  
Edy Sudaryanto
Keyword(s):  
Data Analysis ◽  
Human Resources ◽  
Secondary Data ◽  
Primary Data ◽  
Data Display ◽  
Vocational High School ◽  
Government Accounting ◽  
Fund Accounting ◽  
Standard Handbook ◽  
Data Analysis Methods

This study aims to identify and analyze opportunities, challenges, constraints and efforts of vocational high school or Sekolah Menengah Kejuruan (SMK) to create graduates especially accounting programs that are able to manage village funds. The object of the study are accounting program students of SMK PGRI 2 Cibinong. Data used in this study are primary data and secondary data. Data is collected using interviews, observation, and documentation. Data analysis methods use data reduction, data display and conclusion drawing/verification. The results of this study show that the SMK PGRI 2 Cibinong Bogor aware of the opportunities for SMK graduates of the accounting program to fill the scarcity of skilled human resources to manage village funds. But teachers have less experience in the practice of village fund accounting so that they do not have confidence in  teaching. Other constraints are less discussion of government accounting in the accounting syllabus and the absence of a standard handbook/module for teachers to teach accounting subjects.

scholarly journals Analisis Kepuasan Pelanggan dalam Membeli Buah-buahan Segar di Moena Fresh Bali

2018 ◽  
pp. 81
Author(s):  
PUTU OKA WARDIKA ◽  
RATNA KOMALA DEWI ◽  
NI WAYAN PUTU ARTINI
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Qualitative Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Satisfaction Index ◽  
The Matrix ◽  
Competitive Prices ◽  
Data Analysis Methods

Analysis Customer Satisfaction in Buying Fresh Fruits in Moena Fresh Bali Increased consumption of fruits in the country have an impact on the growth of fruitsales in Indonesia. This increase causes the appearance of stiff competition in thebusiness of fruits. Moena Fresh Bali as one of the companies that sell fresh fruitsmust innovate or improve the shortage so that the consumers do not turn to otherproducts. Consumer behavior may help explain how consumers obtain satisfaction.The purpose of this research is to determine satisfaction of Moena Fresh Baliconsumers and to find out actions to increase customer satisfaction of Moena Fresh.The location of the research was conducted at four Moena Fresh outlets as it wasconsidered to represent consumers in every sub-district in Denpasar City. Thenumber of respondents was as many as 50 respondents and the sampling wasconducted by using accidental sampling. Types of data collected include quantitativeand qualitative data which were sourced from primary and secondary data. Methodsof data collection were by using interview techniques, observation, anddocumentation. Data analysis methods used were descriptive analysis, ImportancePerformance Analysis and Customer Satisfaction Index. Based on the results ofresearch, the calculation of CSI to the attributes of Moena Fresh Bali was 77.6% i.e.it meets the criteria of satisfaction. Based on the Matrix of Importance Performance,product attributes are classified into four quadrants and actions to improve customersatisfaction are through the improvement of attributes that become the main priority,namely the attributes of advertising / promotion, price, and discounts. The studysuggests that Moena Fresh Bali should perform printed and electronic publicationsand set competitive prices to maintain its customers.

scholarly journals Objective assessment of SERS thin films: comparison of silver on copper via galvanic displacement with commercially available fabricated substrates

2017 ◽  
Vol 9 (33) ◽  
pp. 4783-4789 ◽  
Author(s):  
Samuel Mabbott ◽  
Yun Xu ◽  
Royston Goodacre
Keyword(s):  
Thin Films ◽  
Data Analysis ◽  
Objective Assessment ◽  
Galvanic Displacement ◽  
Sers Signal ◽  
Analysis Methods ◽  
Data Analysis Methods

Reproducibility of SERS signal acquired from thin films developed in-house and commercially has been assessed using seven data analysis methods.

Omaha System Public Health Data: Analysis Methods

2010 ◽  
Vol 58 (2) ◽  
pp. e22-e23
Author(s):  
Karen A. Monsen ◽  
Karen S. Martin ◽  
Bonnie L Westra
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Health Data ◽  
Public Health Data ◽  
Analysis Methods ◽  
Omaha System ◽  
Data Analysis Methods

Peak detection in sediment - charcoal records: impacts of alternative data analysis methods on fire-history interpretations

2010 ◽  
Vol 19 (8) ◽  
pp. 996 ◽  
Author(s):  
Philip E. Higuera ◽  
Daniel G. Gavin ◽  
Patrick J. Bartlein ◽  
Douglas J. Hallett
Keyword(s):  
Data Analysis ◽  
Fire History ◽  
Threshold Value ◽  
Decomposition Methods ◽  
Peak Detection ◽  
Detection Methods ◽  
Statistical Framework ◽  
Analysis Methods ◽  
Decomposition Models ◽  
Data Analysis Methods

Over the past several decades, high-resolution sediment–charcoal records have been increasingly used to reconstruct local fire history. Data analysis methods usually involve a decomposition that detrends a charcoal series and then applies a threshold value to isolate individual peaks, which are interpreted as fire episodes. Despite the proliferation of these studies, methods have evolved largely in the absence of a thorough statistical framework. We describe eight alternative decomposition models (four detrending methods used with two threshold-determination methods) and evaluate their sensitivity to a set of known parameters integrated into simulated charcoal records. Results indicate that the combination of a globally defined threshold with specific detrending methods can produce strongly biased results, depending on whether or not variance in a charcoal record is stationary through time. These biases are largely eliminated by using a locally defined threshold, which adapts to changes in variability throughout a charcoal record. Applying the alternative decomposition methods on three previously published charcoal records largely supports our conclusions from simulated records. We also present a minimum-count test for empirical records, which reduces the likelihood of false positives when charcoal counts are low. We conclude by discussing how to evaluate when peak detection methods are warranted with a given sediment–charcoal record.

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