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Rumengan, Angelina Eleonora
Batam University
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COMMUNICATION DETERMINATION, EMPLOYEE DEVELOPMENT ANDORGANIZATIONAL CULTURE WITH WORK MOTIVATION AS INTERVENING VARIABLES AGAINST ORGANIZATIONAL COMMITMENTS OF DINAS HEALTH EMPLOYEES ARCHIPELAGO RIAU PROVINCE Siti Rahman; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.258

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire questionnaire distributed as many as 70 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0.004 <0.05, so it can be stated that the influence between X3 and X4 is significant. The effect 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 X4 variable on Y has a P-Values value of 0.044> 0.05, so it can be stated that the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.005 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.021> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0,000 <0,05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.006 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, SELF EFFICACY AND WORK CULTURE WITH WORK SATISFACTION AS INTERVENING VARIABLES ON EMPLOYEE MOTIVATION OF RIAU ISLANDS PROVINCE HEALTH Suci Suliyana; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.259

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire questionnaire distributed as many as 70 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0.005 <0.05, so it can be stated that the influence between X3 and X4 is significant. The effect 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 X4 variable on Y has a P-Values value of 0.009> 0.05, so it can be stated that the effect between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.024 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.006> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0,000 <0,05, so it can be stated that the effect between X2 on X4 is significant. The effect of X2 on Y has a P-Values value of 0.009 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF AUTONOMY OF WORK, WORK FACILITIES AND DISCIPLINE OF WORK WITH WORK MOTIVATION AS INTERVENING VARIABLES TO PERFORMANCE EMPLOYEE OF PROVINCIAL HEALTH SERVICE RIAU ISLANDS Sukaesih Sukaesih; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.260

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire questionnaire distributed as many as 70 respondents using census techniques.Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0.004 <0.05, so it can be stated that the influence between X3 and X4 is significant. The effect 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 X4 variable on Y has a P-Values value of 0.006> 0.05, so it can be stated that the influence between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.009> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of the X2 variable on X4 has a P-Values value of 0.005 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.005 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF COMPETENCE, WORK SPIRIT AND WORK ENVIRONMENT WITH WORK MOTIVATION AS INTERVENING VARIABLES AGAINST PERFORMANCE OF EMPLOYEE SERVICES RIAU ISLANDS PROVINCE Tri Hardiono Erwin; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.261

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire questionnaire distributed as many as 70 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence.The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0.002 <0.05, so it can be stated that the influence between X3 and X4 is significant. The effect 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 X4 variable on Y has a P-Values value of 0.006> 0.05, so it can be stated that the influence between X4 on Y is significant. The influence of X1 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of X1 on Y has a P-Values value of 0.007> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of X2 on X4 has a P-Values value of 0.002 <0.05, so it can be stated that the effect between X2 on X4 is significant. The effect of the X2 variable on Y has a P-Values value of 0.008 <0.05, so it can be stated that the effect between X2 on Y is significant.
TRANSFORMATIONAL LEADERSHIP DETERMINATION, COMPENSATION, ORGANIZATIONAL CLIMATE WITH WORK SATISFACTION AS INTERVENING VARIABLES TO EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND REGIONAL VOCATIONAL ASSOCIATION Whendy Septian Pratama; Jemmy Rumengan; Angelina Eleonora Rumengan
Zona Manajemen: Program Studi Magister Sains Manajemen Universitas Vol 9 No 2 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/jzm.v9i2.262

Abstract

In this study, researchers used respondents' data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. Where from the questionnaire distributed questionnaire as many as 80 respondents using census techniques. Data analysis with parametric and non parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) regarding research variables, instrument test, normality test, hypothesis test, and discussion of the results of hypothesis testing and Path Path Analysis. This study uses path analysis (path analysis) to test the pattern of relationships that reveal the influence of variables or a set of variables on other variables, both direct influence and indirect influence. The results of the study are as follows: The effect of the X3 variable on X4 has a P-Values value of 0.006 <0.05, so it can be stated that the influence between X3 and X4 is significant. The effect 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 X4 variable on Y has a P-Values value of 0.040> 0.05, so it can be stated that the influence between X4 on Y is significant. The effect of X1 on X4 has a P-Values value of 0.047 <0.05, so it can be stated that the influence between X1 to X4 is significant. The influence of X1 on Y has a P-Values value of 0.045> 0.05, so it can be stated that the influence between X1 and Y is significant. The effect of X2 on X4 has a P-Values value of 0.006 <0.05, so it can be stated that the effect between X2 on X4 is significant. The influence of X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the effect between X2 on Y is significant.
DETERMINATION OF EMOTIONAL INTELLIGENCE, INTELLECTUAL INTELLIGENCE AND WORKING SPIRIT WITH MOTIVATION OF WORK AS VARIABLE MEDIATOR PERFORMANCE OF JOB OFFICERS GENERAL AND SPATIAL SETUP KARIMUN DISTRICT R. Machrizal; Angelina Eleonora 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.v10i3.576

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 109. 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: Emotional Intelligence, inetelectual intelligence, work spirit, 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 0.010 < 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 0.014 < 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 0.013 < 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 0.000 < 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 0.028 < 0.05, so it can be stated that the effect of the X2 against Y is significant.
DETERMINATION OF SELF EFFICACY, WORKING ETHOS, WORKING DISCIPLINE WITH ORGANIZATIONAL CITIZENSHIP BEHAVIOR AS INTERVENING VARIABLES ON WORK ACHIEVEMENT WITH USING SEM-PLS (RESEARCH STUDY PERSONNEL DITPOLAIRUD POLDA KEPRI) Abdul Rahman; 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.v11i1.774

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 75. 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 self-efficacy, work ethic, work discipline, organizational citizen behavior and work performance. 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 0.043 <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 0.033 <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 0.013 <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 0.003 <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 0.010 <0.05, so it can be stated that the effect of X1 on Y is significant. The effect of variable X2 on X4 has a P-Values value of 0.003 <0.05, so it can be stated that the effect of X2 on X4 is significant.The effect of variable X2 on Y has a P-Values value of 0.033 <0.05, so it can be stated that the between X2 and 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 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.
Co-Authors Abdul Rahman Adi Adi Aditya Wirandha Adnan Suhardis Aji, Teguh Sakti Andre Leonard Sembiring Anjani, Arum Dwi Apriyandi, M Aulia, Devy Lestari Nurul Azizul Huda Budi Hartono Chablullah Wibisono Devy Lestari Nurul Aulia Dwi Sri Agustini Ebjed Ebjed Erwin, Tri Hardiono Etty Sri Wahyuni Fitri Astriani Gunawan, Dahlan Handriyanto, Handriyanto Indrawan, Jalil Indrayani Indrayani , Indrayani Isramilda, Isramilda Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Jemmy Rumengan Lebrata, Lebrata Malahayati Rusli Bintang Mohamad Gita Indrawan Muammar Khaddafi Muhammad Gita Indrawan Mujid Mujid Nurafni Dwi Anggaraini Octavia, Resti Pratama, Whendy Septian R. Machrizal Rachman, Waliyar Ramadhan, Faris Raymond Raymond Reny Nozariyanti Rumen, Muhammad Tommy Arby Santika, Mira Satriawan, Bambang Silvia Silvia Silvia Silvia Siti Rahmah Siti Rahman Suci Suliyana Suhana Suhana Sukaesih Sukaesih Sukaesih Sukaesih, Sukaesih Suliyana, Suci Tammy Arby Rumengan Tohara, Tohara Tommy Arby Rumengan Tri Hardiono Erwin Whendy Septian Pratama Yova Apriazir Apriazir Yuanita FD Sidabutar Zulkarnaen Adijaya