cover
Contact Name
Deni Juliasari
Contact Email
ejournal@itbwigalumajang.ac.id
Phone
+62334-881924
Journal Mail Official
ejournal@itbwigalumajang.ac.id
Editorial Address
Institut Teknologi dan Bisnis Widya Gama Lumajang Jl. Gatot Subroto No.4 Lumajang Jawa Timur - Indonesia
Location
Kab. lumajang,
Jawa timur
INDONESIA
Jurnal Ilmu Manajemen Advantage
ISSN : 25981072     EISSN : 25978888     DOI : https://doi.org/10.30741/adv
Core Subject : Economy,
Jurnal Ilmu Manajemen Advantage published twice a year in June and December, published by Institut Teknologi dan Bisnis Widya Gama Lumajang since June 2017. Jurnal Ilmu Manajemen Advantage intended as a forum for publishing scientific articles in the field of management science.
Articles 14 Documents
Search results for , issue "Vol. 4 No. 1 (2020): June" : 14 Documents clear
Compensation, Work Discipline and Work Motivation Relationship to Employee Job Satisfaction Imam Abrori; Nuril Hidayati
Jurnal Ilmu Manajemen Advantage Vol. 4 No. 1 (2020): June
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/adv.v4i1.603

Abstract

This study aims to determine: (1) the influence of the compensation variable on job satisfaction (2) the influence of the variable work discipline on job satisfaction (3) about the effect of work motivation on employee job satisfaction at PT. PP Perkebunan Jember Widodaren . This research is a causal associative study using a quantitative approach. The population in this study were employees of PT. PP Perkebunan Jember Widodaren amounting to 69 people. The sampling technique in this research is census. Data were collected using a questionnaire that had been tested for linearity, multicolonierity and heteroscedasticity tests. The data analysis technique used is multiple regression. The results of this research are at the significant level 5% indicates that: (1) Compensation has a positive and significant effect on employee job satisfaction. This is evidenced by the beta coefficient (β) 0.227 (p <0.05; p = 0.042) and the effect of compensation on employee job satisfaction with a significant level of 0.003 (2) Work motivation has a positive but not significant effect on employee job satisfaction as evidenced by the level of significance of 0.394
Attraction and Word Of Mouth In A Visit Decision Tri Palupi Robustin
Jurnal Ilmu Manajemen Advantage Vol. 4 No. 1 (2020): June
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/adv.v4i1.604

Abstract

The purpose of this study was to determine the partial and simultaneous influence between attractiveness and word of mouth on the decision to visit Watu Ulo Beach in Jember Regency. The purpose of this study is explanatory (explanatory research) and predictions where explanatory research is a type of research that explains the causal relationship between one variable with other variables through hypothesis testing. The research population is tourists visiting Watu Ulo Beach. The sampling technique used is purposive sampling. The analysis used in this study is a multivariate analysis, namely, multiple linear regression analysis consisting entirely of 3 (three) variables. The number of samples in this study was 60 sample members. The results of this study indicate that the attractiveness and word of mouth influence partially and simultaneously on the decision to visit Watu Ulo Beach. The results of the multiple determination coefficient (R2) of 0.558, this means that 55.8% of the visiting decision changes are influenced by the attractiveness and word of mouth variables while the remaining 44.2% is caused by other factors of promotion, service quality, an image of tourist attraction, and others not included in the regression equation created.
Individual Characteristics And Discipline Of Performance Via Lailatur Rizki
Jurnal Ilmu Manajemen Advantage Vol. 4 No. 1 (2020): June
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/adv.v4i1.605

Abstract

This article analyze the individual characteristics and police work discipline on the performance of traffic police. Lumajang. This article used a quantitative approach and the testing of hypotheses, a population that is used is the police of traffic police, Lumajangthe sample collection and use of census. The method of analysis of the data used in the article it is multiple regression analysis. The result showed that significant individual characteristics have a positive impact on the performance of traffic police precinct Lumajang. Work discipline have a positive impact on the performance of traffic police precinctLumajang.
Asset Quality as a Predictor of Rural Bank Bankruptcy in Indonesia Hesti Budiwati; Ainun Jariah
Jurnal Ilmu Manajemen Advantage Vol. 4 No. 1 (2020): June
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/adv.v4i1.612

Abstract

The study aims to form a bankruptcy prediction model of rural bank in Indonesia at a time variation of 1 quarter (MP1), 2 quarters (MP2), 4 quarters (MP4), and 8 quarters (MP8) before bankruptcy. The quality of productive assets as a predictor variable consist of CEA, CEAEA, and NPL. The condition of rural bank bankrupt and non bankrupt as a dependent variable. The analytical method used is logistic regression followed by testing the model accuration. The population of this study is rural bank in Indonesia. The sample used was 241 rural banks that consist of 41 bankrupt rural banks and 200 non bankrupt rural banks. The data used are the quarterly financial statements of 2006 to 2019. The study result showed that of the four prediction models that successfully built, the 1 quarter (MP1) is the most feasible and accurate used as bankruptcy prediction model of rural banks in Indonesia that formed by CEAEA and NPL ratio. The MP1 has a classification accuracy of 93,8% at the level of modelling with cut off point of 0,29 and it has a classification accuracy of 83,93% at the level of validation with cut off point of 0,12. Based on those advantage, the MP1 was chosen as a model that able to predict the bankruptcy of rural bank in Indonesia.

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