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Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Batam
Published by Universitas Batam
ISSN : -     EISSN : 27216373     DOI : 10.37776
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other
Zona Manajemen adalah jurnal peer-review yang dikelola oleh Program Studi Magister Sains Manajemen Universitas Batam. Zona Manajemen bertujuan untuk mempublikasikan artikel di bidang Manajemen Umum, Manajemen Pemasaran dan akunting, Manajemen Sumber Daya Manusia dan Tata Kelola, Manajemen Strategik, Manajemen Keuangan, Manajemen Operasional, Manajemen Tata kelola perusahaan, Etika dan Profesionalisme, Manajemen perusahaan, Manajemen Pendidikan dan Manajemen Sistem Informasi.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 75 Documents
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DETERMINATION OF ORGANIZATIONAL CULTURE, COMPETENCE, WORK ENVIRONMENT WITH INTELLIGENCEEMOTIONAL AS INTERVENING VARIABLES TO THE PERFORMANCE OF PUBLIC BUREAU EMPLOYEES RIAU ISLAND PROVINCE Budi Setiawan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 1 (2020): Volume 10, Nomor 01, April 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i1.554

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 83. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely the culture of Orgnaisasi, competence, work environment, emotional intelligence and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.019 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.000 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.022 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.009 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.010 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.000 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.005 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF COMPETENCY, TRAINING, WORK DISCIPLINE WITH MOTIVATION AS VARIABLE MEDIATOR ON EMPLOYEE PERFORMANCE KABUPATEN KARIMUN BATU DISTRICT Heruska Agustion
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.358

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 30. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely competence, training, work discipline, work motivation and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.012 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.016 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.038 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.001 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.008 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.024 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.037 < 0.05, so it can be stated that the effect of the X2 against Y is significant
DETERMINATION OF THE WORK SPIRIT, WORKLOAD, WORKING ENVIRONMENT WITH THE COMMITMENT OF THE ORGANIZATION AS A VARIABLE MEDIATOR TO EMPLOYEE PERFORMANCE KECAMATAN BEHIND PADANG BATAM CITY M. Faichal Tanjung; Jemmy Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.575

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 52. The discussion in this chapter is the result of a field study to obtain a questionnaire response data that measures the five key variables in the study, namely the spirit of work, workload, work environment, organizational commitment and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.032 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.011 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.044 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.034 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.006 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.015 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.007 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
EFFECT OF ETHICS AND WORK EXPERIENCE ON THE WORK ACHIEVEMENT OF HIGH SCHOOL TEACHERS IN BATAM CITY Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 2 (2020): Volume 10, Nomor 02, Agustus 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i2.363

Abstract

The teacher is an educational component that is very important in determining the success of education to achieve its goals. The teacher is the main actor who is directly related to the teaching and learning process (KBM) in the classroom. The factors that gain a teacher's performance are ethics and experience that become benchmarks in increasing or decreasing work performance. This study aims to analyze the partial and simultaneous influence of ethics and experience variables on work performance. The data analysis technique uses multiple linear regression analysis techniques with two independent variables and one dependent variable. The results of the analysis obtained that the t-count value of work ethics (X1) was 4.126> t table 2.006, and the value of Sig. <0.05 (0.00 <0.05), so it can be concluded that work ethic (X1) has a significant effect in a positive direction on work performance. The t-count value of work experience variable (X1) is 4.126> t table 2.006, and the Sig. <0.05 (0.00 <0.05), so it can be concluded that work experience (X1) has a significant effect in a positive direction on work performance. F count value of 78.546 with a significant level of 0.000. Furthermore, how to obtain the Ftable value with a significant level of 95% (α = 0.05) is to use the formula (F table = F (K: n-k) = F (3:69) = 2.78) so the F table value is 2.78 . It can be concluded that the F count value is 78.546> Ftable value is 2.78. This means that simultaneously there is a significant influence between work ethics and work experience variables on the dependent variable work performance (Y).
DETERMINATION OF ORGANIZATIONAL CULTURE, WORK DISCIPLINE, AND MOTIVATION WORK WITH THE WORK SATISFACTION OF THE VARIABLE MEDIATOR TO THE PERFORMANCE THE EDUCATION EMPLOYEE CITY OF TANJUNG PINANG Ria Nurmalia; Muhammad Tommy Arby Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 10 No 3 (2020): Volume 10, Nomor 03, Desember 2020
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v10i3.580

Abstract

In this study, researchers used data respondents, such as gender, age and long working respondents to provide information on the characteristics of respondents. The questionnaire was spread over 42. The discussion in this chapter is the result of field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely organizational culture, work discipline, work motivation, job satisfaction and employee performance. Analysis of data with parametric and non parametrics statistics using SEM-PLS (structural Equation Modelling-Partial Least Square) on the research variables, instrument test, normality test, hypothesis test, as well as discussion of the hypothesis test results and path analysis Path. This research uses path analysis to test relationship patterns that reveal the influence of variables or a set of variables against other variables, both direct influences and indirect influences. Calculation of line coefficient in this study assisted with Smart PLS Ver 3.0. To find out the direct and indirect influences between variables then be seen from the calculation result of the line coefficient and to know the significance. The effect of the X3 variable against X4 has a P-Values value of 0.024 < 0.05, so it can be stated that the effect between X3 against X4 is significant. The effect of the variable X3 against Y has a P-Values value of 0.009 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of X4 to Y variables has a P-Values value of 0.023 < 0.05, so it can be stated that the effect between X4 to Y is significant. The effect of the X1 variable against X4 has a P-Values value of 0.007 < 0.05, so it can be stated that the effect between X1 against X4 is significant. The effect of a X1 variable against Y has a P-Values value of 0.028 < 0.05, so it can be stated that the effect between X1 to Y is significant. The effect of a variable X2 against X4 has a P-Values value of 0.007 < 0.05, so it can be stated that the effect of X2 against X4 is significant. The effect of a variable X2 against Y has a P-Values value of 0.010 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF WORK CHARATERISTICS, LOCUS OF CONTROL, REWARD WITH WORK ACHIEVEMENT AS INTERVENING VARIABLES ON PERFORMANCE WITHUSING SEM-PLS (STUDY EMPLOYEE RESEARCH IN BINTAN DISTRICT HEALTH OFFICE Aditya Wirandha; Jemmy Rumengan; Angelina Eleonora Rumengan; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.775

Abstract

            In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about the characteristics of respondents. Where from the questionnaires distributed as many as 41. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures five main variables in this study, namely job characteristics, locus of control, reward, work performance and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The effect of the variable X3 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.012 <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of variable X4 on Y has a P-Values value of 0.033 <0.05, so it can be stated that the effect between X4 and Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.043 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.014 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.021 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.021 <0.05, so it can be stated that the effect of X2 on Y is significant
DETERMINATION OF LEADERSHIP, COMPETENCY AND WORK DISCIPLINE WITH WORK MOTIVATION AS A MEDIATOR VARIABLES TO ORGANIZATIONAL COMMITMENT USING SEM-PLS (EMPLOYEE RESEARCH STUDY IN DEPARTMENT OF HEALTH BINTAN DISTRICT) Desi Veronika; Jemmy Rumengan; Khadafi Khadafi; Tammy Ikbal Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.780

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about the characteristics of respondents. Where from the questionnaires distributed as many as 75. The discussion in this chapter is the result of field studies to obtain data on the answers to the questionnaire which measures the five main variables in this study, namely leadership, competence, work discipline, work motivation and organizational commitment. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The effect of the variable X3 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.003<0.05, so it can be stated that the effect of X3 on Y is significant. The influence of the X4 variable on Y has a P-Values value of 0.014 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.020<0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.001 <0.05, so it can be stated that The influence between X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on Y is significant.
DETERMINATION OF ORGANIZATIONAL TRUST, ORGANIZATIONAL CULTURE, ORGANIZATIONAL CLIMATE WITH JOB SATISFACTION ASINTERVENING VARIABLES ON COMMITMENTS ORGANIZATION USING SEM-PLS (EMPLOYEE RESEARCH STUDY IN ORGANICS PERSERO STATE SAVING BANK) Andre Leonard Sembiring; Jemmy Rumengan; Angelina Eleonora Rumengan; Tommy Arby Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.776

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about relationships. Where from the questionnaires distributed as many as 107. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures the five main variables in this study, namely organizational trust, organizational culture, organizational climate, job satisfaction and organizational commitment. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument tests, normality tests, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis (path analysis) to examine relationship patterns that reveal the effect of a variable or a set of other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To have a direct and indirect effect between variables, the calculation results of the path coefficient and to see the significance.             The influence of the X3 variable on X4 has a P-Values value of 0.024 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.000> <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the variable X4 on Y has a P-Values value of 0.005 <0.05, so it can be stated that the effect of X4 on Y is significant.The effect of variable X1 on X4 has a P-Values value of 0.017 <0.05, so it can be stated that between X1 against X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.022 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.031 <0.05, so it can be stated that the effect of X2 on Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND WORK SPIRIT WITH DISCIPLINE WORKING AS A MEDIATOR VARIABLES ON PERFORMANCE BY USING SEM-PLS (RESEARCH STUDY EMPLOYEES AT RAJA AHMAD HOSPITAL TABIB TANJUNG PINANG PROVINCE KEPRI) Dwi Sri Agustini; Jemmy Rumengan; Angelina Eleonora Rumengan; Tammy Arby Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.781

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about the characteristics of respondents. Where from the questionnaires distributed as many as 281. The discussion in this chapter is the result of field studies to obtain questionnaire answer data that measures the five main variables in this study, namely emotional intelligence, intellectual intelligence, morale, work discipline, and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The effect of the variable X3 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X3 on Y is significant. The effect of the variable X4 on Y has a P-Values value of 0.001 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of variable X1 on Y has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.000 <0.05, so it can be stated that the effect of X2 on Y is significant.
DETERMINATION OF WORK ETHICS, WORK DISCIPLINE, WORK EXPENSE WITH JOB SATISFACTION AS INTERVENING VARIABLES ON PERFORMANCE USING SEM-PLS (EMPLOYEE RESEARCH STUDY IN THE COMMUNICATION AND INFORMATICS DEPARTMENT RIAU ISLANDS) Apri saut; Yunazar Manjang; Adnan Suhardis
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 11 No 1 (2021): Volume 11, Nomor 01, April 2021
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v11i1.777

Abstract

In this study, researchers used respondent data, such as gender, age and length of work of respondents in order to provide information about the characteristics of respondents. Where from the questionnaires distributed as many as 48. The discussion in this chapter is the result of field studies to obtain questionnaire answer data which measures the five main variables in this study, namely work ethic, work discipline, workload, job satisfaction and performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument testing, normality test, hypothesis testing, and discussion of the results of hypothesis testing and Path Analysis Path. This study uses path analysis to examine patterns of relationships that reveal the effect of a variable or set of variables on other variables, both direct and indirect. The calculation of the path coefficient in this study was assisted by Smart PLS Ver 3.0. To determine the direct and indirect effect between variables, it is seen from the calculation of the path coefficient and to determine the significance.            The influence of the X3 variable on X4 has a P-Values value of 0.002 <0.05, so it can be stated that the effect of X3 on X4 is significant. The influence of the X3 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect of X3 on Y is significant. The influence of the variable X4 on Y has a P-Values value of 0.011 <0.05, so it can be stated that the effect of X4 on Y is significant. The effect of variable X1 on X4 has a P-Values value of 0.024 <0.05, so it can be stated that the effect of X1 on X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.044 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of the variable X2 on X4 has a P-Values value of 0.011 <0.05, so it can be stated that the effect of X2 on X4 is significant. The influence of the X2 variable on Y has a P-Values value of 0.005 <0.05, so it can be stated that the effect of X2 on Y is significant.

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