Penelitian ini dilakukan untuk menguji faktor-faktor yang mempengaruhi manajemen laba, dengan variabel penelitian meliputi Ukuran Perusahaan, Dewan Komisaris, Leverage, dan Arus Kas Bebas. Populasi penelitian menggunakan perusahaan manufaktur yang terdaftar dalam Bursa Efek Indonesia periode 2016-2018 sejumlah 166 perusahaan. Metode pengambilan sampel menggunakan purposive sampling. Sampel penelitian berjumlah 186 data, dengan 62 perusahaan. Penelitian menggunakan program SPSS versi 22 untuk menguji hipotesis dengan Analisis Regresi Linear Berganda dengan tingkat signifikansi 5% (0,05). Hasil dan kesimpulan dari pengujian dapat diperoleh bahwa (1) ukuran perusahaan tidak berpengaruh signifikan terhadap manajemen laba, karena besar atau kecilnya suatu ukuran perusahaan tidak menjadi acuan dalam melakukan praktik manajemen laba; (2) dewan komisaris tidak berpengaruh signifikan terhadap manajemen laba, karena rata-rata perusahaan sampel hanya memenuhi syarat formalitas batas minimum yang ditetapkan regulasi tanpa berperan secara efektif dalam menjalankan fungsi pengawasan dalam perusahaan; (3) leverage tidak berpengaruh signifikan terhadap manajemen laba, karena apabila rasio leverage tinggi, maka perilaku manajemen dalam melakukan manajemen laba akan tetap atau konstan; (4) arus kas bebas berpengaruh negatif terhadap manajemen laba, karena apabila arus kas bebas perusahaan tinggi maka menandakan bahwa perusahaan memiliki cukup persediaan kas untuk membiayai keperluan perusahaan sehingga pihak manajer tidak perlu melakukan praktik manajemen laba.

This study aimed to examine the effect of Dividend Policy, Policy Liabilities and Profitability of Company Value of the companies listed in Indonesia Stock Exchange period 2011 to 2014. The population in this study a number of 60 companies listed in Indonesia Stock Exchange. Data obtained from financial statements 2011 to 2014 that has been published. Obtained a total sample of 15 companies. The analysis technique used is multiple linear regression and hypothesis testing with constant 5%.In this study occur existing data were not normally distributed, this is due to some extreme values that look very different from the value of other observations. Of the 60 samples of existing research, as many as 24 sample company data should be eliminated (outlier data). It is intended to dispose of the data extremes can cause data distribution becomes normal, so that the data is left as many as 36 samples were used.The results showed that the dividend policy has no significant effect on the value of the company, debt policy does not significantly influence the company's value and profitability significantly influence the value of the company. The coefficient of determination R square indicates 0,073 or 7,3% of explaining that the variable is explained by the variable company value and dividend policy, policy liability and profitability the remaining 92,7% is explained by other variables.

Business process analysis is a term that has a broad enough meaning for a.structere of different tactics such as simulation and diagnosis, verification and performance analysis of business processes This study aims to 1)analyze the business processes of manufacturing MSMEs ranging from production processes to marketing 2)How problems and constraints on business performance conditions now and in the future 3) What factors cause fluctuating performance of MSMEs , knowing what problems and constraints arise in the business process of MSMEs , 4) Knowing the size of the performance of MSMEs, analyzing the data and concluding the right problem solutions to improve the business processes of MSMEs and.utilizing information technology more maximally for the business processes of MSMEs. So that in the end, it can increase its income more maximally by itself can contribute to increase the income of rural communities. Considering that the village is still classified as a lagging village. The methods used to answer the problems in this study are Location Quotient Analysis (LQ), Descriptive Analysis, and SWOT Analysis. The result of LQ is known that in Kec.Cileles there are 6 sectors that are the base sector, namely agriculture, mining and quarrying, building, trading, home industry and restaurant, finance rental and corporate services, as well as other services, Then the absorption of labor dominant sector is in the processing industry sector. While swot results are known that the strategy that can be done is to maximize the potential of the industrial sector of holticulture product processing, improve the quality of human resources, and provide specifications on the type of superior products.  

Purpose: This research aimed to determine the effect of taxes, multinationality, and tunneling incentive on the decision on transfer pricing in non-financial sector companies. Research methodology: This research uses quantitative research methods. Testing the hypothesis used multiple linear regression analysis with panel data on Stata 16.0. The population is non-financial sector companies listed on the IDX in 2017-2019. This research has a sample of 53 companies. Results: Based on the results of data analysis, it can be concluded that (1) taxes has a positive and significant effect on the decision on transfer pricing, (2) multinationality has a positive and significant effect on the decision on transfer pricing, (3) tunneling incentive has no effect on the decision on transfer pricing. Limitations: This limitation of research is the number of samples used in this research due to many companies that do not meet the established criteria. Contribution: This study's results can be used as a reference for further researchers and take into consideration for company management, investors and creditors in making decisions.

This study aims to determine tax avoidance in the Indonesian manufacturing industry. The control variable is the industrial sub-sector. In this study tax avoidance is proxied as book tax differences. This study focuses on manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2015-2018 period. Using the STATA 13 regression data panel, this study shows that capital intensity has no significant effect on tax avoidance and inventory intensity has no significant effect on tax avoidance. However, this study found that industry auditors' specialization had a positive effect on tax avoidance. This study contributes to enhancing empirical evidence of audit quality, proxied by industry auditors' specialization can provide assurance of managers' tax avoidance activities did not violate the fairness principle, thus increase tax avoidance activities.