scholarly journals PENGARUH PEMUNGUTAN PAJAK TERHADAP PAD PADA KANTOR RETRIBUSI DAERAH BANDAR LAMPUNG

2021 ◽  
Vol 26 (1) ◽  
pp. 1-10
Author(s):  
Nety Kumalasari ◽  
Pipit Novila Sari
Keyword(s):  
Regression Analysis ◽  
Necessary Conditions ◽  
Significant Variable ◽  
Analysis Tool ◽  
Test Analysis ◽  
Regional Income ◽  
Significance Level ◽  
Purposeful Sampling ◽  
The Impact

The purpose of this research is to discover the impact of our hotel tax and restaurant tax and original regional income from 2012 to 2018. The research was conducted in the local BPPRD in Lampung City, Bandar. The type of research is a case study, using interaction and documentation as data collection techniques. The data analysis komparatif technique is to use the t-test analysis tool to perform multiple merge analysis at the 5% significance level. The results of regression analysis show that from 2012 to 2018, the original and contemporaneous effects of hotel tax, restaurant tax and Bandar Lampung’s original regional income were significant. Variable independent hotel tax, restaurant tax and original regional income comparison, this technique uses purposeful sampling with necessary conditions. The population in this study is all selected as the sample company 84. It can then be concluded that the collection of hotel tax and hotel tax is compared with the original regional tax efektivitas.

scholarly journals DO MINIMUM WAGES REDUCE EMPLOYMENT? A CASE STUDY OF SARAWAK’S SERVICE SECTOR

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Abdul Jabbar Abdullah ◽  
Dzulzalani Eden ◽  
Wong Swee Kiong ◽  
Dayang Asmah bt Awang Hamdan ◽  
Jeffry Douglas William Nagun
Keyword(s):  
Regression Analysis ◽  
Labour Market ◽  
Survey Data ◽  
Service Sector ◽  
T Test ◽  
Minimum Wages ◽  
Services Sector ◽  
The Impact

This paper examines the impact of minimum wages using a survey data of services sector in Sarawak. Dependent t-test and regression analysis were conducted to determine the impact of minimum wages on employment. Although minimum wages increased salary, but the impact on employment is very small. Most of the findings do not support minimum wages reduce employment, in contrast with competitive labour market prediction.

Does the Financial Self-sufficiency of Municipalities Affect Efficiency of the Museums which they Founded? (A Case Study from the Czech Republic)

2017 ◽  
Vol 15 (3) ◽  
pp. 479-494 ◽  
Author(s):  
Michal Plaček ◽  
František Ochrana ◽  
Milan Půček ◽  
Milan Křápek ◽  
David Špaček
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Fiscal Decentralization ◽  
Financial Data ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Self Sufficiency ◽  
Using Data ◽  
The Impact

This paper analyzes and discusses the impact of fiscal decentralization on the efficiency of museums run by municipalities. It tests the hypothesis that municipalities with higher levels of income self-sufficiency can more efficiently manage museums than municipalities with lower levels of financial self-sufficiency. For our analysis, we used financial data for the years 2015 to analyze the efficiency of museums using data envelopment analysis (DEA). To test the hypothesis about the impact of financial self-sufficiency, we use regression analysis. The results obtained did not confirmed the hypothesis.

scholarly journals Effect of Professional Ethics Auditor on Level of Materiality in Financial Statement Inspection (Case Study of KAP in Padang City)

2019 ◽  
Author(s):  
Dewi Zulvia
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Professional Ethics ◽  
Linear Regression Analysis ◽  
Financial Statement ◽  
Simple Linear Regression ◽  
Significance Level ◽  
Institutional Level ◽  
A Value

The purpose of this research are: Testing the influence of professionalism on the institutional level. This research uses simple linear regression analysis. The Reputable Variable in a professional auditor has a t count value of 0.000 with a significance level of 0.000 <0.05. This shows the existence. The results of this research also show the significance value of the F test is 0.000 which has a value greater than 0.05. This means professionally affecting auditors simultaneously significant to levels. From result of determination test show matter - things that determine (R2) is equal to 0,714, this mean 51% variable tax planing can be explained by perception variable of management accountant. While the rest (100% - 51% = 49%), is given by other variables.

scholarly journals The Impact of Understanding, Religiousity, and Faith towards the Intention to Pay Professional Zakat by Muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan

2018 ◽  
pp. 23
Author(s):  
Ana Mulyana ◽  
Sri Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Significance Level ◽  
East Kalimantan ◽  
Level Of Significance ◽  
The Impact

The dynamics of Muslim society affects the development of the discourse regarding Islamic sharia, including that of professional zakat, which is now enforced in the province of East Kalimantan, where many Muslim work as professionals. This research explored the impact of understanding, religiousity, and faith towards the intention to pay professional zakat by muzakki. The research was quantitative using the formula of multiple linear regression analysis. The data were collected through questionnaires from the sample of 94 muzakki, taken using Slovin formula, out of the population of 1,516 professional muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan. The findings revealed that understanding had a positive impact but not significant on the intention to pay professional zakat as indicated with t_(calculation ) 1,577 <t_tabel1,986 with the level of significance = 0,118 higher than α = 0,05; religiosity has a positive impact and significant on the intention to pay professional zakat as indicated with t_calculation 2,724>t_tabel1,986 with significance level = 0,008 lower than α = 0,05; and faith has a positive impact and significant on the intention to pay professional zakat as shown with t_(calculation ) 2,376>t_tabel=1,986 with significance level = 0,020 lower than α = 0,05. In sum, understanding has a positive but not significant impact on the intention to pay professional zakat, and both religiosity and faith have a positive and significant impact on the intention to pay professional zakat among professional muzakki in Balikpapan, East Kalimantan.

THE IMPACT OF COVID-19 PANDEMIC ON EDUCATION SECTOR: A CASE STUDY FROM MIZORAM, INDIA

Ensemble ◽  
2021 ◽  
Vol SP-1 (1) ◽  
pp. 149-158
Author(s):  
Brototi Biswas ◽  
◽  
Aneesah Rahaman ◽  
Keyword(s):  
Online Teaching ◽  
Education Sector ◽  
School Level ◽  
Human Society ◽  
Significance Level ◽  
Strategic Measures ◽  
Spss Software ◽  
The Impact ◽  
Academic Sector

The outbreak of COVID-19 has drastically disrupted the socio-economic fabric of human society. Not a single sector has been left unscathed from its impact. The education sector has been severely impacted by the same, though the significance level is not the same throughout India. Varied nature of repercussion from the educational sector has been reported based on several factors. Based on the primary survey, the present research paper is an attempt to empirically understand the level of influence of COVID -19 on the academic sector of a part of Mizoram state of India. The survey encompasses both the student (100 respondents) and teacher fraternity (100 respondents) of HS school level, Colleges, technical colleges, and the Central University of Mizoram. Through its statistical analysis, the study finds out the effects of COVID-19 in the education sector and finds out the adaptive strategic measures to deal with this problem in the study area., five hypotheses have been taken, and data has been analyzed on SPSS software (V.22) to fulfill the objective. This study's results reveal that the pandemic has severely hit the academic sector due to the lack of proficiency in online teaching mode due to the technological and infrastructural lacuna in remote mountainous locations. However, the study also empirically proves that the pandemic has raised technological awareness levels among various levels of the academic sector, and with proper technological planning in the study area, the region and similar remote locations can access quality education through online-distant mode.

ANALISIS PERMINTAAN KB DI PROVINSI SUMATERA BARAT (STUDI KASUS RUMAHTANGGA MISKIN)

2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Randi Febri Canitra ◽  
Melti Roza Adry ◽  
Mike Triani
Keyword(s):  
Logistic Regression ◽  
Family Planning ◽  
Family Income ◽  
Hypothesis Test ◽  
Poor People ◽  
Analysis Tool ◽  
Significance Level ◽  
Number Of Children ◽  
West Sumatra ◽  
The Impact

This study aims to analyze the impact of (1) UKP (2) Couples Education (3) Respondent Education (4) Family Income (5) Number of Children on the use of family planning in West Sumatra Province. The data analysis tool used is logistic regression using Susenas 2017 data from the Central Statistics Agency (BPS). The study population is households that are married at an early age and already have children. The sample used was 507 poor households categorized using family planning and not using family planning. The hypothesis test used was the G test and the Wald test with a significance level of 5%. The results of the Logistic Regression found that UKP, respondent education, and number of children had an influence on family planning requests in West Sumatra Province. Therefore, equity and development in the field of education should be increased even more, so that education becomes more effective so that later higher quality education will build quality communities. In the long run, it will reduce the problems of poverty and population, especially problems in the growth rate of poor people and households.

A regression analysis framework for the prediction of runout distance of landslides: a case study for Sichuan

2020 ◽  
Author(s):  
Peng Gu ◽  
Manousos Valyrakis
Keyword(s):  
Regression Analysis ◽  
Analysis Framework ◽  
Mountainous Areas ◽  
Runout Distance ◽  
Road Pavement ◽  
Landslide Volume ◽  
The Impact ◽  
Distance Prediction ◽  
Plane Form

&lt;p&gt;In recent years, the impact of landslides on society has increased due to increasing urbanisation and climate change (as much as up to 30%). In about a decade, around 5000 fatal non-seismic landslides have occurred world-wide resulting in almost 56000 deaths, most of which took place in developing countries, such as China and Philippines. The purpose of studying the characteristics of landslides is to develop a better understanding of their features and to reduce any threat posed by them. Out of these characteristics the runout distance directly determines the impact of the landslide and extend of the affected area which are useful in evaluating risk to infrastructure (such as road pavement or railroad or built structures). Therefore, the study of landslide runout distance prediction has great significance for urban planning and risk assessment, specifically in mountainous areas.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;This study focuses on conducting a review of previous literature on landslides reported at the region of Wenchuan in Sichuan (China), aiming to identify any trends connecting the cause and effect relationship between landslides in a phenomenological and empirical manner. Specifically, a dataset of landslides (20 due to rainfall and 50 due to earthquake) is used to statistically link, using multiple regression analysis, the travel distance to five main influencing factors, including landslide volume, height of landslide, landslide plane form, landslide average thickness and relative coefficient of friction. Good results are obtained through error minimisation rendering the developed framework as a useful tool for predictive analysis of the potential extend and impact of landslides using historical regional data.&lt;/p&gt;

scholarly journals The Effect of Knowledge Management Applications on Innovation: A Case Study in the Ministry of Planning and International Cooperation Amman-Jordan

2016 ◽  
Vol 11 (4) ◽  
pp. 282
Author(s):  
Jumana Ziad Al-Zoubi ◽  
Naser A. Aboyassin ◽  
Neda Saleh Nsor
Keyword(s):  
Knowledge Management ◽  
International Cooperation ◽  
Demographic Variables ◽  
Test Analysis ◽  
Gender And Age ◽  
Level Of Significance ◽  
The Impact ◽  
Regression Correlation

The purpose of this study is to identify the impact of knowledge management applications on innovation in Ministry of Planning and International Cooperation in Jordan. Data obtained through a survey questionnaire distributed randomly to a sample of employees from various administrative levels in the ministry. To arrive at statistically significant conclusions, the authors used regression, correlation and Anova test analysis. The results indicate that a statistically significant effect for the impact of knowledge management applications on innovation in their four types (content applications, software and data management applications, smart applications, software and systems of linkage). It also shows that there are no statistically significant differences in innovation that are attributed to demographic variables (gender and age) and job variables (administrative levels and years of experience) at the level of significance (<em>P</em>, 0.05). Since this study was limited to the Ministry of Planning in Jordan, caution must be exercised in generalizing the results from this study to other organizations or sectors. Recommendations: Innovation processes need advanced and appropriate applications of knowledge management in order to improve the quality of administrative performance and to promote motivation ways for employees.

A Hybrid Hierarchical Framework Toward Security Effectiveness for Critical Infrastructure Protection and Resiliency: A Hospital Case Study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Latechia White ◽  
Timothy Eveleigh ◽  
Tanju Bereket
Keyword(s):  
Conceptual Framework ◽  
Denial Of Service ◽  
Health Sector ◽  
Bayesian Belief Networks ◽  
Analysis Tool ◽  
Security Measures ◽  
Cascading Effects ◽  
Security Effectiveness ◽  
The Impact

Abstract A successful Denial of Service attack on a CI can indirectly have devastating and irreversible effects to those that depend on its services. Furthermore, recent disruptions have raised concerns regarding the resiliency, security effectiveness and emergency preparedness of CIs and dependent resources. To address the persistent challenge of protecting CIs and maintaining the essential services they provide, this research offers emergency management personnel a conceptual framework to evaluate security effectiveness and estimate the cascading effects that may result from inadequate security measures. We combine the philosophy of multi-dimensional modeling, with the statistical engine of Bayesian Belief Networks to provide proactive, scenario-based interdependency analysis for CI protection and resiliency. The findings of this research resulted in a multi-dimensional approach that enables a heightened awareness of one’s risk-posture by highlighting the existence (strength) or absence (weakness) of relevant security factors. Through stakeholder risk-assessment, preemptive implementation of threat mitigation plans for dependent resources are permissible. Specifically, we provide this proof of concept, “what-if” analysis tool to assist in the reduction of vulnerabilities. To illustrate the conceptual framework, we provide a Healthcare and Public Health sector case study that evaluates the impact to a hospital patient given a successful DoS attack on a CI.

scholarly journals Residents’ Perceptions and Satisfaction toward Tourism Development: A Case Study of Petra Region, Jordan

2019 ◽  
Vol 11 (7) ◽  
pp. 1907 ◽  
Author(s):  
Moayad Alrwajfah ◽  
Fernando Almeida-García ◽  
Rafael Cortés-Macías
Keyword(s):  
Regression Analysis ◽  
Economic Impact ◽  
Community Attachment ◽  
Future Studies ◽  
Tourism Management ◽  
Local Residents ◽  
Negative Impacts ◽  
The Impact ◽  
Sociocultural Effects

This study investigates whether local residents’ sociodemographics and community attachment can influence their perceptions toward the impact of tourism (economic, environmental, and sociocultural effects) and, further, whether these perceptions influence their satisfaction with local tourism management. The perceptions of 467 residents were surveyed from six communities in the region of Petra, Jordan. The results of a regression analysis indicate that the respondents’ sociodemographics and community attachment influence their perceptions of the impacts of tourism. Gender and distance from tourist sites are found to be very important factors that influence local residents’ perceptions. In addition, the perceived economic impact is the most important aspect for these respondents, and perceived negative impacts do not significantly influence their satisfaction. Suggestions for future studies in the region and possible implications are discussed.

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