scholarly journals Design and Application Data Collection for integrated evaluation and monitoring

2021 ◽  
Vol 1088 (1) ◽  
pp. 012026
Author(s):  
Muhammad Hidayatullah ◽  
Agus Teguh Wahyudi ◽  
Shinta Esabella ◽  
Titi Andriani ◽  
G Gunawan
Keyword(s):  
Data Collection ◽  
Application Data ◽  
Evaluation And Monitoring ◽  
Design And Application

scholarly journals Design and Application Data-Based Employee Eat Barcode Scanner

2021 ◽  
Vol 1764 (1) ◽  
pp. 012065
Author(s):  
Ninik Sri Lestari ◽  
Sukirno ◽  
Hetty Fadriani ◽  
Ahmad Sujana ◽  
Yudi Herdiana ◽  
...  
Keyword(s):  
Application Data ◽  
Design And Application

Autonomous System for Observation of QoS in Telecommunications Networks

1970 ◽  
Vol 111 (5) ◽  
pp. 15-18
Author(s):  
A. Kajackas ◽  
V. Batkauskas ◽  
A. Saltis ◽  
D. Gursnys
Keyword(s):  
Data Collection ◽  
Initial Data ◽  
Monitoring System ◽  
Autonomous System ◽  
Prototype System ◽  
Test Results ◽  
Telecommunications Networks ◽  
Software Programs ◽  
Evaluation And Monitoring ◽  
Qos Evaluation

A project of creation of a multi-dimension and autonomous QoS evaluation and monitoring system is presented in the paper. The initial data for evaluation of the QoS is collected from users using specially created software programs - iQoS modules. Singularities of the initial data collection are discussed. Test results of the prototype system are presented. Ill. 2, bibl. 14 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.111.5.347

scholarly journals ANALYSIS OF FACTORS THAT ARE CONSIDERED BY INVESTORS IN STOCKS INVESTMENT DECISION MAKING IN BATAM CITY

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fendy Cuandra ◽  
Helen Tan
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Data Collection ◽  
Investment Decision ◽  
Investment Decisions ◽  
Availability Bias ◽  
Stock Investment ◽  
Investment Decision Making ◽  
Application Data

Abstract:The purpose of this research is to analyze the factors that investors should consider in stock investment decision making. This research was conducted to assess the interest in investing and consideration when investing which is influenced by representative bias, availability bias, and locus of control. This research was tested using Smart PLS application. Data collection from this study was conducted by distributing questionnaires as many as 353 people in Batam city. Representative bias significantly positively affects investment decision making, availability bias significantly and positively in investment decisions, availability bias moderated locus of control has no effect on investment decision making, and representative bias moderated locus of control has no effect on investment decision making. This research facilitates investors in making investment decisions in Batam city, judging from several factors that influence the decision making helps investors in determining investment and considering every factor that influences Decision making. Abstrak: Tujuan dari penelitian ini adalah untuk menganalisa faktor yang harus dipertimbangkan investor dalam pengambilan keputusan investasi Saham. Penelitian ini dilakukan untuk menilai ketertarikan dalam melakukan investasi dan pertimbangan saat berinvestasi yang dipengaruhi oleh representative bias, availability bias, dan locus of control. Penelitian ini di uji dengan menggunakan aplikasi Smart PLS. Pengumpulan data dari penelitian ini dilakukan dengan cara menyebarkan kuesioner sebanyak 353 orang yang berada kota Batam. Representative bias secara signifikan positif mempengaruhi investment desicion making, availability bias secara signifikan dan positif dalam keputusan investasi, availability bias yang dimoderasi locus of control tidak berpengaruh terhadap investment decision making, dan representative bias yang dimoderasi locus of control tidak berpengaruh terhadap investment decision making. Penelitian ini memberi kemudahan investor dalam mengambil keputusan investasi di kota Batam, dilihat dari beberapa faktor yang mempengaruhi pengambilan keputusan ini membantu para investor dalam menentukan investasi dan mempertimbangkan setiap faktor yang mempengaruhi Decision making.

scholarly journals Exploring depressive symptoms among healthcare professionals and the general population during the COVID-19 pandemic in Brazil

2021 ◽  
Author(s):  
Alex Bacadini França ◽  
Clarissa Trzesniak ◽  
Patrícia Waltz Schelini ◽  
Gerson Hiroshi Yoshinari Júnior ◽  
Luciano Magalhães Vitorino
Keyword(s):  
Social Media ◽  
Depressive Symptoms ◽  
Missing Data ◽  
General Population ◽  
Data Collection ◽  
Health Professionals ◽  
Healthcare Professionals ◽  
Social Media Networks ◽  
Electronic Form ◽  
Application Data

Data collection was carried out between May 11 and June 3, 2020 using an online electronic form, which was prepared by using the Google Forms application. Data collection started three months after the sanction of the Brazilian law which regulates about the quarantine period and specific measures against the new coronavirus. The link was sent through social media networks. The estimated time to fulfill the forms was less than 15 minutes. Participants should be 18 years and over, be in quarantine for at least 15 days (except health professionals), be Brazilian or naturalized and reside in Brazilian territory during the pandemic. Questionnaires with missing data were excluded

scholarly journals Design and application data mining in academic fields

2019 ◽  
Vol 1402 ◽  
pp. 066048
Author(s):  
R Widyati ◽  
F H Indiyah ◽  
M Mulyono
Keyword(s):  
Data Mining ◽  
Academic Fields ◽  
Application Data ◽  
Design And Application

scholarly journals EVALUASI TEPAT PASIEN, TEPAT OBAT, DAN TEPAT DOSIS PENGGUNAAN ANTIPSIKOTIK PASIEN SKIZOFRENIA DI RUMAH SAKIT JIWA PROVINSI NTB

2021 ◽  
Vol 4 (1) ◽  
pp. 111-120
Author(s):  
Ni Komang Wijiani Yanti ◽  
◽  
Dwi i Andayani
Keyword(s):  
Data Collection ◽  
Medical Records ◽  
Sampling Method ◽  
Antipsychotic Drugs ◽  
Drug Dosage ◽  
Combination Group ◽  
Record Data ◽  
Evaluation And Monitoring ◽  
The Right ◽  
Evaluation Parameters

One of the mental disorders caused by the inability of individuals to make adjustments is schizophrenia. Schizophrenia is a chronic and severe disorder that affects a person thinks, feels, and acts. The management of schizophrenia treatment one of which uses antipsychotics. Evaluation parameters include the right drug, right dose, right patient, and right frequency of drug use. This research is a descriptive with data collection retrospectively. Data collection was carried out by using purposive sampling method by looking at the medical record data of inpatient schizophrenia in the period of January - December 2019 as many as 87 medical records. Schizophrenia was more experienced by men (79.31%) and aged 26-35 years (56.32%). The most common type of schizophrenia is paranoid as many as 75 patients (86.21%). The most common use of antipsychotics is the typical + atypical antipsychotic combination group of 44 patients (50.57%). The evaluating the accuracy of the use of antipsychotics obtained 88.51% right of the drug; 100% right patient; 98.85% correct dosage; and 96.55%% exact frequency. The use of drugs during hospitalization is good, but evaluation and monitoring are needed because there are still inaccuracies in the drug, dosage, and frequency in the use of antipsychotic drugs.

“Sensitive but Essential Information”

2021 ◽  
pp. 240-267
Author(s):  
Alison Nicole Novak
Keyword(s):  
Data Collection ◽  
Cyber Security ◽  
Data Privacy ◽  
Strategic Communication ◽  
Security Threats ◽  
Essential Information ◽  
Application Data ◽  
Pros And Cons ◽  
And Control ◽  
Fitness Trackers

As fitness trackers and applications grow popular, many actors involved in the development, use, and regulation of these devices expressed concerns of privacy and control of data gathered through these platforms. This chapter explores how government representatives, industry leaders, regulators, and politicians discursively constructed and critiqued data privacy in fitness applications in congressional contexts. Findings indicate the following discourses: (1) fitness trackers as indicative of larger data collection issues, (2) weighing the pros and cons of use, (3) military implications for fitness application data security, (4) consumers as responsible for their own data privacy, (5) organizations failing to keep pace with cyber security threats, and (6) the misuse of data collected in fitness applications for promotion/strategic communication uses.

scholarly journals Electronic Medical Records Software Types in Use within Kisumu County

2020 ◽  
Vol 5 (5) ◽  
pp. 1989-1992
Author(s):  
Rinnie Juma ◽  
James Abila ◽  
John Oluoch
Keyword(s):  
Data Collection ◽  
Sample Size ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Social Scientist ◽  
Health Information System ◽  
Control Program ◽  
Target Population ◽  
Application Data ◽  
Analyze Data

Electronic Medical Records (EMR) refers to a set of computerized interrelated components that enable data collection, storage, and transformation, aggregate and disseminate information about a patient or a client in a health facility. However, EMR Assessment by Kenya National Aids Control Program (NASCOP) and Division of Health Information System, done earlier identified various EMR systems and other software that are supporting the provision of health care in the country. These software were grouped as; Patient Management Software(e.g.,, C-PADComprehensive Patient Application Data base, OpenMRS-Open Medical Records Software, IQ-CARE and EDPMS), Hospital HMIS Software /ERP Systems, Data Collection and Reporting Software( e.g., C-PAD, OpenMRS, IQ-CARE, EPI-INFO), Data Analysis Software (Kang’a et. al., 2017). This study sought to examine Electronic Medical Records software types in use within Kisumu County. The target population was 525 EMR staff from 7 Sub Counties (clusters) and a sample size of 227 (apportioned to three Sub Counties selected purposively). However, the research intended to reach a sample size of 227 respondents; only 163 out of 227 (72%) questionnaires were received from EMR software users. Data was collected using questionnaires. Descriptive statistics was used to analyze data using Statistical Package for Social Scientist version 22.0.

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