scholarly journals The impact of the oil palm plantation area on the community economy in East Kutai Regency, East

2020 ◽  
Vol 9 (4) ◽  
pp. 130-137
Author(s):  
Zulkarnain Zulkarnain
Keyword(s):  
Data Analysis ◽  
Sampling Method ◽  
Community Economy ◽  
Plantation Development ◽  
Regional Influence ◽  
The Difference ◽  
Using Data ◽  
The Cost ◽  
The Impact ◽  
Data Analysis Methods

This article is about how the impact of change and the extent of existing activities contribute to the surrounding community. The development of large private plantations in the East Kutai Regency has also been inseparable from problems, especially in the management of plasma plantations carried out by large plantation companies. Issues that arise include the difference in productivity between nucleus and plasma plantations, the low acceptance of plasma farmers so that it is considered not to improve the welfare of the community. The purpose of this study was to determine the impact of large private plantations on community welfare, evaluating the implementation of plantation development activities in the East Kutai Regency. The sampling method is done by purposed sampling using data analysis methods, the analysis of the cost of the benefits of the area, the analysis of the level of welfare, and analysis of regional influence. With the results of the study as follows: the cost of benefits is positive; the multiplier value is 2,614 and the value of NTM is 0.37.

scholarly journals Reproducible and accessible analysis of transposon insertion sequencing in Galaxy for qualitative essentiality analyses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Delphine Larivière ◽  
Laura Wickham ◽  
Kenneth Keiler ◽  
Anton Nekrutenko ◽  
Keyword(s):  
Data Analysis ◽  
Promoter Sequence ◽  
Entire Genome ◽  
Link Type ◽  
Transposon Insertion ◽  
Control Procedures ◽  
Reproducible Analysis ◽  
Using Data ◽  
Transposon Insertion Sequencing ◽  
The Impact

Abstract Background Significant progress has been made in advancing and standardizing tools for human genomic and biomedical research. Yet, the field of next-generation sequencing (NGS) analysis for microorganisms (including multiple pathogens) remains fragmented, lacks accessible and reusable tools, is hindered by local computational resource limitations, and does not offer widely accepted standards. One such “problem areas” is the analysis of Transposon Insertion Sequencing (TIS) data. TIS allows probing of almost the entire genome of a microorganism by introducing random insertions of transposon-derived constructs. The impact of the insertions on the survival and growth under specific conditions provides precise information about genes affecting specific phenotypic characteristics. A wide array of tools has been developed to analyze TIS data. Among the variety of options available, it is often difficult to identify which one can provide a reliable and reproducible analysis. Results Here we sought to understand the challenges and propose reliable practices for the analysis of TIS experiments. Using data from two recent TIS studies, we have developed a series of workflows that include multiple tools for data de-multiplexing, promoter sequence identification, transposon flank alignment, and read count repartition across the genome. Particular attention was paid to quality control procedures, such as determining the optimal tool parameters for the analysis and removal of contamination. Conclusions Our work provides an assessment of the currently available tools for TIS data analysis. It offers ready to use workflows that can be invoked by anyone in the world using our public Galaxy platform (https://usegalaxy.org). To lower the entry barriers, we have also developed interactive tutorials explaining details of TIS data analysis procedures at https://bit.ly/gxy-tis.

The Impact of Customer Loyalty and Restaurant Sanitation Grades on Revisit Intention and the Importance of Narrative Information: The Case of New York Restaurant Sanitation Grading System

2017 ◽  
Vol 59 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Min Gyung Kim ◽  
Hyunjoo Yang ◽  
Anna S. Mattila
Keyword(s):  
New York ◽  
New York City ◽  
Customer Loyalty ◽  
York City ◽  
Letter Grades ◽  
The Difference ◽  
Revisit Intentions ◽  
Using Data ◽  
The Impact ◽  
Loyal Customers

New York City launched a restaurant sanitation letter grade system in 2010. We evaluate the impact of customer loyalty on restaurant revisit intentions after exposure to a sanitation grade alone, and after exposure to a sanitation grade plus narrative information about sanitation violations (e.g., presence of rats). We use a 2 (loyalty: high or low) × 4 (sanitation grade: A, B, C, or pending) between-subjects full factorial design to test the hypotheses using data from 547 participants recruited from Amazon MTurk who reside in the New York City area. Our study yields three findings. First, loyal customers exhibit higher intentions to revisit restaurants than non-loyal customers, regardless of sanitation letter grades. Second, the difference in revisit intentions between loyal and non-loyal customers is higher when sanitation grades are poorer. Finally, loyal customers are less sensitive to narrative information about sanitation violations.

scholarly journals The Impact of CEOs' Compensations on Cost Stickiness in Industrial Companies Listed on the Amman Stock Exchange

2021 ◽  
Vol 15 (1) ◽  
pp. 152
Author(s):  
Lina Fuad Hussien
Keyword(s):  
Stock Exchange ◽  
Industrial Companies ◽  
Level Of Activity ◽  
Cost Behavior ◽  
Study Population ◽  
The Difference ◽  
High Level ◽  
The Cost ◽  
The Impact ◽  
Cost Stickiness

The purpose of this study is to analyze the asymmetry in cost behavior (cost stickiness) and to identify the impact of CEOs' compensation on the degree of cost stickiness behavior. The study population consists of the public shareholding companies listed on the ASE, which number (56) industrial company. Data were collected from (35) industrial companies for the period (2009 - 2019). To measure the degree of costs stickiness, The Model of Weiss (2010) was used. The Model of Weiss (2010) takes into account the costs and changes in the level of activity (sales) for the last four quarters of the company, Weiss (2010) model constructs the difference in logarithmic ratios of changes in cost. The study found that the CEO's compensation in Jordanian industrial companies consists of two forms. The companies pay fixed salaries or performance-related bonuses. The study found that the form of compensation that is paid to the CEO affects the behavior of managers. The results indicated that the performance-related rewards are accompanied by a decrease in the level of cost stickiness, and the compensation paid in the form of fixed salaries are accompanied by a high level of cost stickiness. The study recommends that companies should understand the role of the compensation form in administrative decisions, especially with regard to resource modifications, as management motives in relation to resource modifications must be taken into account because of their clear and direct impact on the cost structure of companies.

scholarly journals Pengaruh Kompetensi, Independensi, Dan Etika Auditor Terhadap Kualitas Audit Aparat Inspektorat

2020 ◽  
Vol 2 (4) ◽  
pp. 3737-3754
Author(s):  
Witta Widiya ◽  
Efrizal Syofyan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Sampling Method ◽  
Audit Quality ◽  
Primary Data ◽  
Sample Collection ◽  
The Third ◽  
Data Analysis Methods

The purpose of this study was to analyze the effect of competency, independence, and auditor ethics on audit quality in Inspectorate Office. Type of this research is a quantitative researh. The population in this study were auditors in inspectorate office West Sumatera province with 35 samples taken. The technique of sample collection is total sampling method. The sources of the data of this research is the primary data. The technique of the data collection is questionnaires. The data were analyzed using multiple regression analysis using SPSS version 25. Data analysis methods used in this study are multiple linier regression analysis, with audit quality as the dependent variabel, competency, independence and auditor ethics as the independent variabel. This result of the reseacrh support the third hypotheses, where the research shows that auditor ethics has an effect on audit quality of examiners at the inspectorate West Sumatera province. The results also show that competency and independence have no effect on audit quality of examiners at the inspecorate West Sumatera provinsi.

scholarly journals Tantangan UKM Menghadapi Pandemi Covid-19: Pengaruh Kepemimpinan dan Pelatihan terhadap Kinerja

2021 ◽  
Vol 4 (2) ◽  
pp. 91
Author(s):  
Mei Rani Amalia
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Leadership Training ◽  
Raw Materials ◽  
Regression Analyses ◽  
Business Units ◽  
Random Samples ◽  
Perceived Effects ◽  
The Impact ◽  
Data Analysis Methods

<p><em>SMES have a very important role, so it can be said that SMES are the backbone of the Indonesian economy. BPS Data informs that about 99% of existing business units are SMES capable of absorbing manpower about 96.3% of the amount of productive workforce available. But since the outbreak of Covid-19 struck Indonesia from the end of December 2019, the business of SMES is one of the most experienced sectors, such as sales that go down, difficult to obtain raw materials, the disbanding of production and capital are some of the perceived effects of SMES during the pandemic.  To be able to continue to maintain its performance, it takes good cooperation from all parties from government, private, and community participation. This research is conducted with the aim to know the impact of training and leadership on the performance of SME Kab. Tegal during the Covid-19 pandemic. The study took 100 random samples and data collection was conducted through observations, interviews, and questionnaires. Data analysis methods use multiple linear regression analyses. The results showed that partial training had no significant effect on performance, while leadership had a significant influence on MSME performance. Simultaneously the training and leadership significantly affect the performance of SME Kab. Tegal during the Covid-19 pandemic.  Training to the SMES will help improve the performance during the pandemic.</em></p><p><em> </em></p><p><em>Keywords: </em><em>SMES, leadership, training, pandemic covid-19, performance</em><em></em></p>

scholarly journals ANALISIS KETERLAMBATAN PROYEK SERTA DAMPAKNYA TERHADAP BIAYA DAN WAKTU PELAKSANAAN PROYEK

2019 ◽  
Vol 5 (1) ◽  
pp. 13-19
Author(s):  
Fitri Nur Kharina ◽  
Kusno Adi Sambowo
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Project Performance ◽  
Project Work ◽  
Earned Value ◽  
Time Period ◽  
Review Period ◽  
The Difference ◽  
The Cost ◽  
The Impact

Construction projects in all regions continues to be developed for the creation of facilities that can be utilized by the community. One of them is the construction of apartments which are now being intensively carried out to meet residential needs for the community. Making a construction project plan always refers to estimates that exist at the time development plan is made, therefore problems can arise if there is a discrepancy between the plans that have been made and the actual reality. So the impact that often occurs is the delay in the time of project implementation which can also be accompanied by an increase in the cost of implementing the project. In the construction project of Cinere Terrace Suites Apartemen & Citywalk, Jakarta there was a delay resulting in a late payment of monthly bill progress by the owner. Based on the above reasons, this research was conducted to find out how the project performance was seen from the cost and time period of the review period. how is the estimated cost and time to complete the overall project work. The method used in the analysis of this study is the Earned Value Method. Based on the results of the analysis carried out for 29 weeks the project performance on schedule has been delayed and cost shows a positive value. For the estimated completion time of the project there is an increase in time whose duration increases from the planned 98 weeks or 685 days to 109,624 weeks or 768 days. While the estimated cost of completing the project from the results of the analysis obtained a value of Rp. 270,147,448,569.16 smaller than the planned cost of Rp. 315,272,727,272.73. With the difference VAC of Rp. 45,125,278,703.57 this shows that there are benefits obtained by the contractor.

Quantifying changes in bicycle volumes using crowdsourced data

2022 ◽  
pp. 239980832110661
Author(s):  
Ali Al-Ramini ◽  
Mohammad A Takallou ◽  
Daniel P Piatkowski ◽  
Fadi Alsaleem
Keyword(s):  
Machine Learning ◽  
The United States ◽  
Crowdsourced Data ◽  
Machine Learning Approach ◽  
Bicycle Infrastructure ◽  
The Difference ◽  
Infrastructure Investments ◽  
Using Data ◽  
The Impact ◽  
The City

Most cities in the United States lack comprehensive or connected bicycle infrastructure; therefore, inexpensive and easy-to-implement solutions for connecting existing bicycle infrastructure are increasingly being employed. Signage is one of the promising solutions. However, the necessary data for evaluating its effect on cycling ridership is lacking. To overcome this challenge, this study tests the potential of using readily-available crowdsourced data in concert with machine-learning methods to provide insight into signage intervention effectiveness. We do this by assessing a natural experiment to identify the potential effects of adding or replacing signage within existing bicycle infrastructure in 2019 in the city of Omaha, Nebraska. Specifically, we first visually compare cycling traffic changes in 2019 to those from the previous two years (2017–2018) using data extracted from the Strava fitness app. Then, we use a new three-step machine-learning approach to quantify the impact of signage while controlling for weather, demographics, and street characteristics. The steps are as follows: Step 1 (modeling and validation) build and train a model from the available 2017 crowdsourced data (i.e., Strava, Census, and weather) that accurately predicts the cycling traffic data for any street within the study area in 2018; Step 2 (prediction) use the model from Step 1 to predict bicycle traffic in 2019 while assuming new signage was not added; Step 3 (impact evaluation) use the difference in prediction from actual traffic in 2019 as evidence of the likely impact of signage. While our work does not demonstrate causality, it does demonstrate an inexpensive method, using readily-available data, to identify changing trends in bicycling over the same time that new infrastructure investments are being added.

scholarly journals Specialization and Performance: Evidence from NCAA 4 × 400 m Relay Times

Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 96
Author(s):  
Candon Johnson ◽  
Robert Schultz ◽  
Joshua C. Hall
Keyword(s):  
Performance Measure ◽  
Division I ◽  
Division Iii ◽  
Overall Performance ◽  
The Difference ◽  
And Performance ◽  
Using Data ◽  
The Impact ◽  
Better Than

This paper investigates the impact of having open 400 meter (400 m) runners on NCAA relay teams. Using data from 2012–2016 containing the top 100 4 × 400 m in each NCAA Division relay times for each year, it is found that more 400 m specialists lead to an increase in the overall performance of the team, measured by a decrease in relay times. The effect is examined across Division I–III NCAA track teams. The results are consistent across each division. We view this as a test of the role of specialization on performance. Using runners who specialize in 400 m races should increase overall team performance as long as specialization does not lead to an inefficient allocation of team human capital. An additional performance measure is used examining the difference between projected and actual relay times. Divisions I and II are found to perform better than projected with an increase in 400 m runners, but there is no effect found in Division III.

scholarly journals The Efficacy of Ethnic Stacking: Military Defection during Uprisings in Africa

2019 ◽  
Vol 5 (4) ◽  
pp. 695-702 ◽  
Author(s):  
Julien Morency-Laflamme ◽  
Theodore McLauchlin
Keyword(s):  
Large Scale ◽  
Armed Forces ◽  
Future Research ◽  
Group Loyalty ◽  
Limited Support ◽  
History Of ◽  
Group Members ◽  
Using Data ◽  
The Cost ◽  
The Impact

Abstract Does ethnic stacking in the armed forces help prevent military defection? Recent research, particularly in Africa and the Middle East, suggests so; by favoring in-groups, regimes can keep in-group soldiers loyal. In-group loyalty comes at the cost of antagonizing members of out-groups, but many regimes gladly run that risk. In this research note, we provide the first large-scale evidence on the impact of ethnic stacking on the incidence of military defection during uprisings from below, using data on fifty-seven popular uprisings in Africa since formal independence. We find clear evidence for the downside: ethnic stacking is associated with more frequent defection if out-group members are still dominant in the armed forces. We find more limited support for the hypothesized payoff. Ethnic stacking may reduce the risk of defection, but only in regimes without a recent history of coup attempts. Future research should therefore trace the solidification of ethnic stacking over time.

scholarly journals Exports of Spanish manufacturing firms and financial constraints

2020 ◽  
pp. 234094442091630
Author(s):  
Juan A. Máñez ◽  
Óscar Vicente-Chirivella
Keyword(s):  
Financial Constraints ◽  
Jel Classification ◽  
Large Firms ◽  
Financial Health ◽  
Export Intensity ◽  
Export Decisions ◽  
Export Decision ◽  
Using Data ◽  
The Cost ◽  
The Impact

We investigate the role of financial constraints on firms’ exporting behavior, including firms’ export decision, export intensity, firms starting to export decision, and exports persistence. Our financial constraints variable is a synthetic variable that summarizes information on different dimensions such as total assets, profitability, liquidity, solvency, repaying ability, and (new in this type of analyses) the cost of external financing. Using data on Spanish manufacturing for the period 1992–2014, we find evidence supporting that financial health is relevant to explain small and medium-sized enterprises (SMEs) exporting decisions and starting to export decisions but not those of large firms. Financial health does not seem to affect large firms’ export intensity and the results of the impact of financial health on SMEs export intensity are not conclusive. Nevertheless, financial health is a determinant of export persistence of large firms and SMEs. JEL CLASSIFICATION: F14; G32; L60; C35

Sign in / Sign up

Export Citation Format

Share Document