Using Statistical Measures to Analyze Data Distributions

2015 ◽  
pp. 55-86 ◽  
Keyword(s):  
Statistical Measures ◽  
Analyze Data

MOTIVASI MEMEDIASI PENGARUH PELATIHAN DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PT. TELKOM WITEL YOGYAKARTA

2020 ◽  
Vol 28 (1) ◽  
pp. 71-88
Author(s):  
Tyas Tunjung Sari ◽  
Pandu Nuansa Luhur
Keyword(s):  
Work Environment ◽  
Significant Influence ◽  
Structural Equation ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Version 2.0 ◽  
Analyze Data

This study aims to determine the motivation of work to mediate the effect of training and work environment on employee performance at PT. Telkom Witel Yogyakarta Yogyakarta. The purpose of this study is to determine and analyze 1) the effect of training on employee performance at PT. Telkom Witel Yogyakarta 2) the effect of training on employee performance through motivation at PT. Telkom Witel Yogyakarta 3) the influence of the work environment on employee performance at PT. Telkom Witel Yogyakarta 4) the influence of the work environment on employee performance through motivation at PT. Telkom Witel Yogyakarta. This study uses primary data through research on 62 respondents. Structural Equation is used to analyze data, using PLS (Partial Least Square) version 2.0. The results of this study indicate that there are 1) positive and significant influence of training on employee performance 2) positive and significant influence of work environment on employee performance 3) positive and significant effect of training on employee performance through motivation 4) positive and significant influence of work environment on employee performance through motivation.

Feelings of Figures in Novel Notes Juang Fiersa Besari (Personality Ludwig Klages)

2020 ◽  
Vol 8 (3) ◽  
pp. 13
Author(s):  
Faridatus Soleha
Keyword(s):  
Qualitative Approach ◽  
Personality Structure ◽  
Personality Theory ◽  
The Novel ◽  
Research Focus ◽  
The Third ◽  
Analyze Data

This study aims to describe the feelings of the characters in the novel Juang Notes by Fiersa Bersari and researchers analyze using personality theory originated by Ludwig Klages by focusing his study on the personality structure of feelings. Feeling is a process of someone accepting or rejecting something in life. This study uses a qualitative approach by using library techniques to obtain data that will produce a description of the words or sentences in the observed study. In the analysis of this research using the hermeutics technique, in the hermeutics technique there are several stages, namely reading the research object in this study in the form of a fighting journal, the second gives a mark on the data that has been obtained from the reading results, the third provides code or coding on the data that has been found, and the fourth is to analyze data that has been obtained from the object of research in accordance with the specified research focus. Novel Notes Juang by Fiersa Besari is a novel that can be used as an inspiration for readers in living life. Based on the results of the study it was found that in the Fighting Notes novel there is a feeling that is divided into inner activities and the level of clarity, inner activities in the novel in the form of fear and guilt while viewed from the level of clarity in the form of happiness, sadness and longing.

Mechanisms of liver damage in COVID-19

2020 ◽  
Vol 1 (19) ◽  
pp. 39-46
Author(s):  
T. V. Pinchuk ◽  
N. V. Orlova ◽  
T. G. Suranova ◽  
T. I. Bonkalo
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Risk Factor ◽  
Liver Disease ◽  
Liver Function ◽  
Liver Damage ◽  
The World ◽  
Coronavirus Infection ◽  
The Impact ◽  
Analyze Data

At the end of 2019, a new coronavirus (SARS-CoV-2) was discovered in China, causing the coronavirus infection COVID-19. The ongoing COVID-19 pandemic poses a major challenge to health systems around the world. There is still little information on how infection affects liver function and the significance of pre-existing liver disease as a risk factor for infection and severe COVID-19. In addition, some drugs used to treat the new coronavirus infection are hepatotoxic. In this article, we analyze data on the impact of COVID-19 on liver function, as well as on the course and outcome of COVID-19 in patients with liver disease, including hepatocellular carcinoma, or those on immunosuppressive therapy after liver transplantation.

Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN

2018 ◽  
Vol 8 (5) ◽  
pp. 10
Author(s):  
Revati Kadu ◽  
U. A. Belorkar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Skin Disease ◽  
Skin Diseases ◽  
Screening Method ◽  
Phase Detection ◽  
Statistical Measures ◽  
The World ◽  
Artificial Neural ◽  
Wavelet Techniques

One of the most common and augmenting health problems in the world are related to skin. The most  unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection  and classification phase.

Robust Watermarking Scheme for GIS Vector Maps

2018 ◽  
Vol 31 (1) ◽  
pp. 277 ◽  
Author(s):  
Methaq Talib Gaata
Keyword(s):  
Main Idea ◽  
Geospatial Data ◽  
Robust Watermarking ◽  
Digital Map ◽  
Statistical Measures ◽  
Data Authentication ◽  
Two Factors ◽  
Illegal Copying ◽  
Value Decomposition ◽  
Watermarking Scheme

  With the fast progress of information technology and the computer networks, it becomes very easy to reproduce and share the geospatial data due to its digital styles. Therefore, the usage of geospatial data suffers from various problems such as data authentication, ownership proffering, and illegal copying ,etc. These problems can represent the big challenge to future uses of the geospatial data. This paper introduces a new watermarking scheme to ensure the copyright protection of the digital vector map. The main idea of proposed scheme is based on transforming  the digital map to frequently domain using the Singular Value Decomposition (SVD) in order to determine suitable areas to insert the watermark data. The digital map is separated into the isolated parts.Watermark data are embedded within the nominated magnitudes in each part when satisfied the definite criteria. The efficiency of proposed watermarking scheme is assessed within statistical measures based on two factors which are fidelity and robustness. Experimental results demonstrate the proposed watermarking scheme representing ideal trade off for disagreement issue between distortion amount and robustness. Also, the proposed scheme shows  robust resistance for many kinds of attacks.

ANALISA DATA EKSPEDISI PAKET DENGAN MENERAPKAN ALGORITMA ROUGH SET (STUDI KASUS: JNE AGEN MENTENG MEDAN)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hasrat Selpia Simorangkir
Keyword(s):  
Data Mining ◽  
Rough Set ◽  
Microsoft Excel ◽  
General Rules ◽  
New Knowledge ◽  
Analyze Data

In analyzing data with data mining using the Rough Set algorithm which has results in the form of rules (rules). The process of determining the rules in the Rough Set method starts from processing the Microsoft Excel database, and continues testing with the Rough Set method. Thus producing General Rules which will become new knowledge in this research.With the existence of data mining using the rough set penilus algorithm, it can analyze data and provide solutions to the weaknesses faced in the menteng Medan field agents that have occurred so that it can be used as an alternative to solving problems in packet expedition encountered so far.Keyword: Data Mining, Descision System, Equivalen Class, ,General Rules, Rough set,Reduction

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KESEDIAAN IBU BERSALIN UNTUK PEMASANGAN IUD POST PLACENTA

2019 ◽  
Vol 1 (2) ◽  
pp. 28-34
Author(s):  
Saiful Batubara ◽  
Risqi Utami
Keyword(s):  
Maternal Mortality ◽  
Pregnant Women ◽  
Third Trimester ◽  
Chi Square ◽  
Purposive Sampling ◽  
Factors Associated ◽  
Analyze Data

Intra Uterine Device post placenta is the installation in the first 10 minutes to 48 hours after the birth placenta plays a role in reducing maternal mortality through prevention of pregnancy, delaying pregnancy, and spacing pregnancies, the effectiveness of use up to 99.4% can prevent 5-10 years of pregnancy. This study aims to determine the factors associated with maternal willingness to post Post Placenta IUD. The study used a questionnaire with a population of third trimester pregnant women who examined their pregnancies and a sample of 98 people by purposive sampling. Analyze data with Chi Square. The results showed that the majority of pregnant women were not willing to do post placenta IUD installation of 58.2% which was influenced by age, parity, knowledge and support of the husband.

Sign in / Sign up

Export Citation Format

Share Document