Objectives–This study aims to examine and analyze the role of job satisfaction and organizational commitment on intention to quit and organizational citizenship behavior. Design/Methodology - The population of this research is 74 employees of UPTD Rusunawa. The research model uses the census model. The research method is quantitative with instrument test, classical assumption test, and multiple regression analysis. Results - job satisfaction and organizational commitment each play a significant role in intent to quit and OCB at UPTD Rusunawa Sleman. Originality – Research still needs to be done with other research objects that have the same characteristics, and this research can add references for further research.

Tujuan–Penelitian ini bertujuan mengembangkan dan menguji Hackman and Oldham’s Job Characteristics Model melalui efek Job Enrichment (Task Significance, Task Identity, Skill Variety) pada Individual Performance dengan Organizational CitizenshipBehavior directed towards to Individual (OCBI) sebagai variabel mediasi. Desain/Metodologi/Pendekatan–Penelitian menggunakan klasifikasi kecukupan minimal sampel sebanyak 123 karyawan perusahaan swasta di Yogyakarta dengan berbagai bidang pekerjaandan level jabatan. Metode pengumpulan data dengan kuesioner dan observasi. Metode analisis data menggunakan kuantitatif. HasilPenelitian–Job enrichment mempunyai peran positif signifikan pada OCBI dan individual performance, sedangkan organizationalcitizenship behavior direct toward to individual (OCBI) mempunyai peran positif signifikan pada individual performance, dan OCBI bukan variabel mediasi peran job enrichment pada individual performance. Orisinalitas–Pengembangan Hackman and Oldham’s Job Characteristics Model masih perlu dilakukan. Oleh karena itu penelitianini menawarkan penggunaan variabel Organizational Citizenship Behavior directed towards to Individual (OCBI) serta Individual Performance dalam penelitian lingkup individu.Kata kunci : Job Enrichment, OCBI, Individual Performance

This study aims to determine the potential for bankruptcy due to the ongoing industrial revolution 4.0 and the difference in potential bankruptcy of retail companies in Indonesia which are listed on the Indonesia Stock Exchange for the publication of financial statements for the 2016-2018 financial year. The research sample used was 14 companies with purposive judgment sampling method. The data collection technique uses the documentation method, namely data collection from the Indonesia Stock Exchange documents. The data analysis technique used in this research is descriptive data analysis using the Altman Z-Score and Grover G-Score models.The criteria for company bankruptcy used the Altman method based on the Z-Score limit and with the criteria, if Z <1.8, the company is included in the bankrupt be careful, then if the Z value>2.99 then the company is in the healthy category. category, if the Z value> 1.81 to<2.99 is included in the Gray Area category or situation. Criteria based on Grover's G-Score, if the value of G ≤-0.02 then the company is included in the bankrupt category, and if the value of G ≥ 0.01 then the company is included in the healthy category. The results of this study indicate that there is a significant difference at the 5% significance level, from the number of issuers that go bankrupt calculated by the Althman method and the Grover method. The results of the analysis using the Altman Z-Score method in 2016 showed that 39% of companies are in a healthy condition, 34% of companies are in a cautious condition, 27% of companies are in bankruptcy. In 2017, 46% of the companies were in a healthy condition, 27% of the companies were in a prudent condition, 27% of the companies were in bankruptcy. In 2018, 45% of companies were in good health, 30% were in a prudent condition, and 25% were in bankruptcy. So the number of retail companies with the potential for bankruptcy decreased at the start of the industrial revolution 4.0 era. The results of the analysis using the Grover method show that in 2016 there were 89% of companies in good health, and 11% of companies were in bankruptcy. In 2017, 89% of companies were in good health, and 11% were in bankruptcy. In 2018, 82% of the companies were in good health, and 18% of the companies were in bankruptcy. Based on the Grover method, it is found that an increase in the number of retail companies that have the potential to go bankrupt.

This study aims to prove empirically that sales growth, profitability, asset structure, business risk, financial risk, tax, Firm growth and firm size are determinants of the capital structure decisions of companies incorporated in the LQ45 index on the Indonesia Stock Exchange. The sample was taken using purposive random sampling, and the collected panel data were analyzed using panel data regression. The results showed that the independent variables that had a significant effect on the capital structure proxied by the debt to asset ratio (DAR) were: sales growth, profitability, asset structure, and firm size

This study aims to determine the significant influence of the contribution and levies of regional financial management, especially the reception of telecommunication tower fees in the 2015 to 2019 fiscal year in the local government of Kulonprogo, the province of Yogyakarta Special Region In the era of regional autonomy, local revenue is very important to be used as the source of operations for each region in Indonesia. The effectiveness of financial management performance in each region is very important. The variable contribution of local government levies is measured by the t test. Revenue data from the 2015 to 2019 fiscal years were used as samples. The method for testing uses the Trend Least Square with a significant level of 5%. The contribution of telecommunication towers in Kulon Progo Regency in 2015 to 2019 ranged from 0.44% to 1.22%. The effectiveness of telecommunication tower levy receipts is increasing every year and has a value approaching 100% or even exceeding 100%. The predicted amount of telecommunication tower levy receipts continues to increase every year, in 2020 it is predicted to be Rp.