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All Journal Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Rahmasari, Ayu
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Other

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Coral Reef Fishes Biodiversity In Pahawang Island,Pesawaran District Lampung Yuliana, Darma; Rahmasari, Ayu; Yulianto, Herman; Damai, Abdullah Aman
AQUASAINS Vol 9, No 1 (2020)
Publisher : Jurusan Perikanan dan Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/aqs.v9i1.p887-892

Abstract

The components of coral reef ecosystem can be described by the unique regulation in community level. Coral reef fishes use coral reef as their habitat and they highly depend on coral reef health. Otherwise, the condition of coral reef health can be predicted by the biodiversity of coral reef fishes. The research aim was describe communities differences between two explored area in marine tourism spots in Pahawang Island. This research was conducted on November 2019 at two stations on the coral reefs ecosystem of Pahawang Island represented the two quitely different area, the marine tourism and the visitor areas.  The coral reef fishes were observed by using visual census method with a Line Transect length of 30 meters and a visibility of 2.5 meters left and right of the transect.  Coral reef fish community structure was measured by diversity, similarity, and dominancy indexes. A total of 1.940 coral reef fish species from 13 families were recorded. Pomacentridae is the most speciose family (1.091 species), followed by Siganidae (308 species) and Labridae (166 species). Biodiversity of coral reef fishes at Pahawang Island showed results diversity index (H') in both observation stations classified as medium with a low dominance index value (C) and similarity index (E)  at both stations classified as high, presumably as a result of tourism activities. The diversity index at station 2 has a greater value than station 1 as a tourist area with diving and snorkeling tourism activities, at station 2 there are more types or genus of reef fish, compared to station 1.
DETERMINATION OF COMPETENCE, EDUCATION AND SELF EFFICACY WITH WORK SPIRIT AS A MEDIATOR VARIABLE ON EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND RETREBUTION FOR THE CITY OF BATAM Rahmasari, Ayu; Indrayani, Indrayani; Nozariyanti, Reny; Rila, Rajesh; Khaddafi, Muammar
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 3 (2022): FEBRUARY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i3.19

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 competence, education, self efficacy, work spirit 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 influence of the variable X3 on X4 has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X3 on X4 is significant. The influence of the variable X3 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence between X3 on X4 is significant. The influence of the variable X4 on Y has a P-Values value of 0.008 <0.05, so it can be stated that the influence between X4 on Y is significant. The influence of the variable X1 to X4 has a P-Values value of 0.010 <0.05, so it can be stated that the influence between X1 to X4 is significant. The effect of the variable X1 on Y has a P-Values value of 0.047 <0.05, so it can be stated that the effect between X1 on Y is significant. The influence of the variable X2 on X4 has a P-Values value of 0,000 <0.05, so it can be stated that the influence of X2 on X4 is significant. The effect of the variable X2 on Y has a P-Values value of 0.007 <0.05, so it can be stated that the influence between X2 on Y is significant.
DETERMINATION OF TRANSFORMATIONAL LEADERSHIP, EDUCATION AND WORK DISCIPLINE WITH WORK SPIRIT AS A MEDIATOR VARIABLE ON EMPLOYEE PERFORMANCE TAX MANAGEMENT AGENCY AND RETREBUTION FOR THE CITY OF BATAM Rila, Rajesh; Nozariyanti, Reny; Rahmasari, Ayu
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 11 (2022): OCTOBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i11.62

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 field studies to obtain data on the questionnaire responses that measure five key variables in the study, namely transformational leadership, education, work discipline, work spirit 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 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y is significant. The effect of the variable X3 against Y has a P-Values value of 0.003 < 0.05, so it can be stated that the influence between X3 to Y 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 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 Y has a P-Values value of 0.011 < 0.05, so it can be stated that the effect of the X2 against Y is significant
Co-Authors Abdullah Aman Damai Herman Yulianto INDRAYANI INDRAYANI Muammar Khaddafi Nozariyanti, Reny Rila, Rajesh Yuliana, Darma