scholarly journals Multiple Linear Regression and Deep Learning in Body Temperature Detection and Mask Detection

2021 ◽  
pp. 109-121
Author(s):  
Faisal Najib Abdullah ◽  
Mohamad Nurkamal Fauzan ◽  
Noviana Riza
Keyword(s):  
Deep Learning ◽  
Body Temperature ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Raspberry Pi ◽  
Thermal Camera ◽  
The Public ◽  
Temperature Detection ◽  
Distance Data ◽  
The Government

In this new normal era, many activities began to operate again, such as offices, malls, etc. This creates a potential mass crowd. The public must follow health protocols as recommended by the government, including wearing masks and checking the temperature to anticipate the spread of the coronavirus. This study tested a tool that included image processing and artificial intelligence to help implement health protocols as recommended by the government. This tool connects Raspberry PI, Thermal Camera (amg8833), Pi Camera, an ultrasonic sensor with Multiple Linear Regression and Deep Learning algorithms. The purpose of this tool is to detect body temperature and detect the use of masks. The system will check on the pi camera frame whether the person is wearing a mask or not. The system is trained using the Deep Learning method to detect the use of masks. The system will check the temperature of the human body and the distance between humans and the tool. Temperature and distance data are entered in multiple linear regression formulas to get more accurate results. The processed results of the system will be displayed on the monitor screen if detected using a mask and the normal temperature will be green and if it is not detected it will be red and give a warning sound. The data is sent to the server and displayed via the web. We found that this tool succeeded in detecting body temperature within a distance of 1 to 3 meters with an accuracy of 99.49%, detecting people using masks with an accuracy of 94.71%, and detecting people not wearing masks with an accuracy of 97.7%.

scholarly journals PENGARUH EKSPOR DAN IMPOR MINYAK MENTAH TERHADAP CADANGAN DEVISA DI INDONESIA TAHUN 1996-2018

2021 ◽  
Vol 10 (1) ◽  
pp. 44
Author(s):  
Siska Monita ◽  
Devi Andriyani
Keyword(s):  
Linear Regression ◽  
Crude Oil ◽  
Multiple Linear Regression ◽  
Foreign Exchange ◽  
Secondary Data ◽  
Foreign Exchange Reserve ◽  
Foreign Exchange Reserves ◽  
The Public ◽  
Oil Exports ◽  
The Government

This study aims to analyze the effect of exports and imports of crude oil on foreign exchange reserves in Indonesia from 1996 to 2018. This study uses secondary data and multiple linear regression to analyze the data. The results partially show that crude oil exports have a negative and significant effect on foreign exchange reserves, and Crude oil imports have a positive and significant effect on the foreign exchange reserve. Simultaneously, exports of crude oil and imports of crude oil have a positive and significant effect on foreign exchange reserves in Indonesia. The amount of influence is 0.7661 or 76.61%, while the rest is influenced by other variables outside the model of 23.39%. Bank Indonesia should maintain the balance of foreign exchange reserves, and the Government can provide policies to the public, especially those who are going to the export to find it easier to fulfill the requirements and must suppress imports growthKeywords:Crude Oil Exports, Crude Oil Imports, Foreign Exchange Reserves.

scholarly journals PENGARUH OPINI AUDIT DAN TEMUAN AUDIT TERHADAP TINGKAT KORUPSI (STUDI PADA PEMERINTAH DAERAH DI INDONESIA TAHUN 2017)

2020 ◽  
Vol 4 (1) ◽  
pp. 20
Author(s):  
Riri Safira Syahrir ◽  
Elly Suryani
Keyword(s):  
Local Government ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Technique ◽  
Total Sample ◽  
Regional Government ◽  
Audit Opinion ◽  
The Public ◽  
Government Institutions ◽  
Audit Opinions

This study aims to investigate the effect of audit opinion and audit findings on the level of corruption in the Regional Government in Indonesia in 2017. The object in this study is the local government included in the Public Integrity Survey conducted by the Corruption Eradication Commission in 2017. The sampling technique used in this study was saturated sampling with a total sample of 19 local government institutions. The method used in this analysis is multiple linear regression using IBM SPSS 25. Based on the results of the test the significance of audit opinions and audit findings simultaneously evaluating the level of corruption. Partially, audit opinion variables and negative audit findings on the level of corruption

scholarly journals ANALISIS HASIL INVESTASI, PENDAPATAN PREMI, DAN BEBAN KLAIM TERHADAP LABA PERUSAHAAN PERASURANSIAN DI INDONESIA

2017 ◽  
Vol 5 (2) ◽  
pp. 213
Author(s):  
Sofyan Marwansyah ◽  
Ambar Novi Utami
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Significant Relationship ◽  
Secondary Data ◽  
Strong Relationship ◽  
Fund Raising ◽  
Analytical Technique ◽  
The Public ◽  
Investment Returns ◽  
Premium Income

Insurance is a fund raising agency sourced from the receipt of insurance premiums from the public and distributed by claims. In addition to premium receipts, the company also puts its funds in the form of investments. This aims of this paper is to analyze the investment returns, premium income, and claims expense to profit using partial correlation, determination and multiple linear regression. The methods that use to collects the data for this final task are using observation and study documentation using quantitative analysis. Analytical technique is multiple linear regression using IBM SPSS 21 software. The used data in this paper is secondary data that obtained from the website of Otoritas Jasa Keuangan. From the results of the correlation coefficient test partially obtained investment returns and premium income has a significant relationship to profit, a positive value of 0.657 and 0.737 means the relationship is strong and unidirectional whereas, claims load has a significant relationship to profit, negative value of -0.786 means strong relationship And counterclockwise, simultaneously (together) shows that investment returns, premium income, claims expenses have significant relationship to profit, and a positive value of 0.881. The result of determination coefficient test shows that there is a significant influence of 77.6% and the remaining 22.4% influenced by other factors. The regression equation formed is Y = -2,682 +  +  – 2,369 + e.

scholarly journals PENGARUH TINGKAT BAGI HASIL DAN TINGKAT SUKU BUNGA TERHADAP SIMPANAN DEPOSITO (STUDI KASUS PADA PT.BANK NAGARI UTAMA PADANG)

2018 ◽  
Author(s):  
Nadya Jumraatul Yesha ◽  
Muhammad Rivandi
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Linear Regression ◽  
Interest Rates ◽  
Multiple Linear Regression ◽  
Financial Institutions ◽  
Profit Sharing ◽  
Analysis Method ◽  
The Public ◽  
Data Analysis Method

Banks are financial institutions that play an important role in the country's economy, one of which is by increasing the collection of funds from the public. The purpose of this study was to determine the effect of profit sharing and interest rates on mudharabah deposits at PT. Bank Nagari Utama Padang. The object of research at PT. Bank Nagari Utama Padang. Data used in the form of time series totaling 30 data. Data analysis method uses multiple linear regression. The results showed that the profit sharing and interest rates had a positive and significant effect on deposits at PT. Bank Nagari Utama Padang.

scholarly journals La calidad del servicio en el sistema de transporte público y su impacto en la satisfacción del usuario (Quality service in the public transportation system and its impact in user’s satisfaction)

2018 ◽  
Vol 14 (28) ◽  
Author(s):  
Luis Enrrique Ibarra-Morales ◽  
Natalia Guadalupe Romero-Vivar ◽  
Daniel Paredes-Zempual
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Public Transportation ◽  
Measurement Instrument ◽  
Transportation System ◽  
Service Performance ◽  
Quality Service ◽  
The Public ◽  
El Sistema ◽  
Public Transportation System

El brindar un excelente servicio a través del atributo de la calidad, ha sido la constante en la mayoría de las empresas, ya que tiene un impacto directo en la satisfacción del cliente como usuario de los servicios y, en los resultados estratégicos de la organización. La presente investigación realiza un aporte al área de la administración y negocios, ya que mide la calidad del servicio y la satisfacción del usuario del sistema de transporte público en Hermosillo, Sonora, México. Esta investigación es de tipo cuantitativa con un universo de estudio de 1,296 usuarios del transporte, a los cuales se les aplicó un instrumento de medición donde se determinaron las dimensiones o atributos que más impactan en la satisfacción del cliente haciendo uso de la metodología Servperf (Service Performance). El análisis se llevó a cabo a través de un análisis factorial exploratorio (AFE); así como la técnica de regresión lineal múltiple. Las dimensiones evaluadas fueron: Tangibles, confiabilidad, responsabilidad, seguridad y, empatía. Los resultados de la estimación de regresión lineal múltiple determinan la importancia, peso y valor de cada dimensión en términos de satisfacción medido por la calidad del servicio otorgado y que, para este estudio, indican las áreas que se deben de atender y mejorar para que el usuario se sienta más satisfecho con el servicio en términos de calidad. Palabras clave: calidad del servicio, satisfacción del usuario, servperf, sistema de transporte público.  Abstract.Giving an excellent service trough quality attributes has been the constant in most organizations, now that it has a direct impact in client’s satisfaction as a user of the services, and in the strategic results of the organization. This research study makes a contribution to the area of administration and business, as it measures the quality service and clients’ satisfaction of the public transportation system in Hermosillo, Sonora, México. This investigation is a quantitative type with a universe of study of 1296 transport users, to whom was applied a measurement instrument where were determined the dimensions or attributes with the highest impact in client´s satisfaction, through the Servperf (Service Performance) methodology. The analysis was carried out through an exploratory factor analysis (EFA), as well as a multiple linear regression technique. The dimensions evaluated were: Tangible, reliability, responsibility, assurance and empathy. The results of the estimation of multiple linear regression determine the importance, weight and value of each dimension in terms of satisfaction measured by the quality service given and for this study, indicate the areas that have to be attended and improved for the clients to be more satisfied with the service in terms of quality.Key words: quality service, public transportation system, servperf, user’s satisfaction. 

scholarly journals MODEL REGRESI LINIER DENGAN METODE BACKWARD DAN FORWARD

2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
M. S. Noya Van Delsen ◽  
H. W. M. Patty ◽  
N. Lalurmele
Keyword(s):  
Local Government ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Domestic Product ◽  
Local Taxes ◽  
Model Based ◽  
The Government

Obligations are undertaken by the community before claiming their rights as citizens one of them is by paying taxes. Local tax is a compulsory fee imposed by the local government that is forced and used as much as possible to run the government. In determining the regression model, the factors involved by local taxes are Gross Regional Domestic Product (GRDP), Inflation and Population. The discussion in this research is about the comparison of a backward and forward method on multiple linear regression, and make a model with the program expected to be used to model the regression model on local taxes appropriately. Comparison of a regression model based on the GRDP in Ambon method backward and forward processed with the help of SPSS produce a model of the same, that is . The regression model generated by the method backward and forward involves only one variable (GRDP) with the value of R2 the same is equal to, 0,972 or 97.2%. So there is no difference between the regression model using either method backward or forward.

scholarly journals Pengaruh Komitmen dan Pendapatan Terhadap Kebersamaan Pegawai Negeri Sipil Di Kota Pekanbaru

2015 ◽  
Vol 1 (3) ◽  
pp. 261-268
Author(s):  
Novita Novita
Keyword(s):  
Civil Society ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Private Sector ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Government Employees ◽  
The Public ◽  
Need Support ◽  
Factor Income

Abstract: Mental revolution for civil servants is an important part that is inseparable and as a form of an example for the private sector and civil society in order to build cohesiveness or togetherness. Not optimal sense of suspected dipengruhi by a factor of commitment and factor income. This research method using kunatitatif and analyzed with multiple linear regression statistical analysis. Penenlitian of results proved that the commitments and revenues provide positive and significant impact on the unity government employees in providing services to the public. Problems togetherness of employees is a form of mental changes and revolutions that need to get serious attention and become the focus means. Therefore, need support in various circles. Keywords: Commitment, Revenue and Togetherness

scholarly journals PENGARUH PENURUNAN TARIF PAJAK UMKM DAN SISTEM PELAYANAN ONLINE TERHADAP PERSEPSI WAJIB PAJAK (STUDI KASUS PADA UMKM YANG TERDAFTAR DI KPP SEMARANG BARAT)

2020 ◽  
Vol 11 (1) ◽  
pp. 88
Author(s):  
Khaerun Nadhor ◽  
Nur Fatoni ◽  
Nurudin Nurudin ◽  
Faris Shalahuddin Zakiy
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Quantitative Research ◽  
Service Systems ◽  
Tax Rates ◽  
Linear Regression Models ◽  
Validity And Reliability ◽  
Online Service ◽  
The West ◽  
The Government

<p><em>Taxes are the largest source of state revenue, which is around 70%, so the government tries to increase tax revenues as much as possible by making policies that can later attract people to pay taxes. One of the government's policies is to reduce the final tax rate for public entrepreneurs, which is expected to make public entrepreneurs obedient to pay taxes. And take advantage of technological developments by conducting online tax services both in registration, reporting and tax payment. This study aims to determine the effect of decreasing MSME tax rates and online service systems on taxpayers 'perceptions of MSME taxpayers' compliance that are registered at the West Semarang KPP either partially or simultaneously. This research is quantitative research. The study population is a UMKM taxpayer registered at the West Semarang KPP. The sample was selected using the probability sampling method, which determines a random sample by taking 98 respondents as samples in this study. Data collection method is by field study. Test the feasibility of data on data taken using the validity and reliability test. Hypothesis testing uses multiple linear regression models, so it needs to be held a classic assumption test on the research data obtained. The results of the multiple linear regression test for the variable reduction in MSME tax rates and online service systems have a significant effect on taxpayers' perceptions of MSME taxpayer compliance, both simultaneously and partially.</em><em></em></p><p class="IsiAbstractBahasaInggris"><em> </em><em></em></p>

scholarly journals Prooceeding 1 st Mice 2018 Medan International Conference Economic

2018 ◽  
Author(s):  
Bunga Aditi ◽  
SOPI PENTANA
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Innovation ◽  
Descriptive Analysis ◽  
Coefficient Of Determination ◽  
Analysis Method ◽  
The Public ◽  
Independent Variables ◽  
Spss Software

The purpose of this research to know and analyzing the effect of the product innovation and halal labelization on re-Buy Interest. The method used in this study is descriptive analysis method by describing the data that has been collected as it is without intending to make conclusions that apply to the public or generalization. Data analysis method used is Multiple Linear Regression using SPSS software. The results showed that product innovation and halal labelization simultaneously had a positive and significant effect on the buying interest. Partially respectively Product Innovation and Halal Labelization have positive and significant effect to re-buy interest. The coefficient of determination (R2) from product innovation and halal labelization is able to explain the re-buy interest by 84% while the rest of 16% is explained by independent variables that are not examined

scholarly journals The Effect of Work Motivation, Work Discipline and Leadership on Employee Performance at the Public Works, Spatial Planning and Land Office of South Solok Regency

2019 ◽  
Vol 12 (3) ◽  
pp. 1867-1871
Author(s):  
Sri Meuthia ◽  
Sri Melia ◽  
Roza Pebrina ◽  
Yulina Eliza
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Spatial Planning ◽  
Work Motivation ◽  
Employee Performance ◽  
Public Works ◽  
The Public ◽  
Independent Variables ◽  
Leadership Influence

This research aims to determine the effect of work motivation on employee performance at Public Works, Spatial Planning and Land Office of South Solok. The influence of work discipline on the performance of employees in the Public Works, Spatial and Land Office of South Solok Regency, Effect of Leadership on Employee Performance at the Department of Public Works, Spatial Planning and Land of South Solok and the influence of work motivation, work discipline and leadership on performance at the Department of Employment General, Spatial and Land Affairs of South Solok Regency. The sample used was 51 people against employees of the Public Works, Spatial and Land Office of South Solok Regency. The analysis used in this study is multiple linear regression which measures the effect of independent variables on the dependent variable. The results of this research indicate that motivation has a significant effect on the performance of employees of the Public Works, Spatial Planning and Land Office of South Solok, Work discipline does not have a significant effect on Performance at the Public Works, Spatial and Land Office of South Solok Regency, Leadership has a significant effect on employee performance Public Works, Spatial Planning and Land Office of South Solok Regency and Motivation, Work Discipline and Leadership influence the performance of employees of the Public Works, Spatial and Land Office of South Solok Regency.

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