This study aims to empirically examine the effect of the level of understanding of taxation, tax sanctions, taxpayer awareness, and tax socialization on taxpayer compliance of e-commerce merchants. The research was conducted on online business people in OKU Regency. The sampling method used saturated sampling and the sample size was measured by the saturated sampling formula. The analytical method used is Multiple Regression Analysis.  The results showed that the level of understanding of taxation, tax sanctions and awareness of taxpayers had no partial effect on taxpayer compliance of e-commerce merchants, while taxation socialization had a significant effect on taxpayer compliance of e-commerce merchants. Keywords : Understanding, Sanctions, Awareness, Socialization, Tax Compliance    Abstrak Penelitian ini bertujuan untuk menguji secara empiris pengaruh tingkat pemahaman perpajakan, sanksi pajak, kesadaran wajib pajak, dan sosialisasi perpajakan terhadap kepatuhan wajib pajak pedagang e-commerce penelitian dilakukan pada pelaku bisnis online di Kabupaten OKU. Metode pengambilan sampel menggunakan sampling jenuh dan ukuran sampel diukur dengan rumus sampling jenuh. Metode analisis yang digunakan adalah Analisis Regresi Berganda. Hasil penelitian menunjukkan bahwa tingkat pemahaman perpajakan, sanksi pajak dan kesadaran wajib pajak tidak berpengaruh secara parsial terhadap kepatuhan wajib pajak pedagang e-commerce, sedangkan sosialisasi perpajakan berpengaruh signifikan terhadap kepatuhan wajib pajak pedagang e-commerce. Kata Kunci: Tingkat Pemahaman Perpajakan, Sanksi Pajak, Kesadaran Wajib Pajak, Sosialisasi Perpajakan, Kepatuhan Wajib Pajak Pedagang E-Commerce.

Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market

Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market

This study aims to analyze the financial performance of the Bali United Football Club, which is the first football club in Indonesia to be listed on the Indonesia Stock Exchange (IDX) in 2019. The sample used in this study is PT Bali Bintang Sejahtera Tbk which is a company that manages Bali United football club. The type of data used is quantitative data obtained from the IDX website and the club consisting of financial reports 2019. The analysis technique is carried out with a quantitative descriptive method using the Economic Value Added (EVA) and Market Value Added (MVA) methods. The results of the analysis show that 2018 - 2019 has not been able to create added economic value for the company. This is indicated by the negative EVA value for two consecutive years. Whereas in 2020, which can be seen from the semester report per June 2020, the company's EVA value shows positive results, this is a good step for the company considering that the financial statements in the first semester of the company were able to produce a fairly high NOPAT, this also had an influence on the EVA value which positive which means the company has been able to create added value for the company.   Abstrak Penelitian ini bertujuan untuk menganalisis kinerja keuangan Klub Sepak Bola Bali United yang merupakan klub sepak bola pertama di Indonesia yang listing di Bursa Efek Indonesia (BEI) pada tahun 2019. Sampel yang digunakan dalam penelitian ini adalah PT Bali Bintang Sejahtera Tbk yang merupakan induk perusahaan yang mengelola klub Bali United. Jenis data yang digunakan adalah data kuantitatif yang diperolah dari situs BEI dan klub yaitu laporan keungan tahun 2019. Tekknik analisis dilakukan dengan metode deskriptif kuantitatif yakni menggunakan metode Evonomic Value Added (EVA) dan Market Value Added (MVA). Hasil analisis menunjukkan tahun 2018 – 2019 belum bisa menciptakan nilai tambah ekonomi bagi perusahaan. Hal ini ditunjukkan dengan nilai EVA yang negatif selamat dua tahun berturut-turut. Sedangkan pada tahun 2020 yang bisa dilihat dari laporan semester per Juni 2020 nilai EVA perusahaan menunjukkan hasil yang positif hal ini merupakan langkah yang baik bagi perusahaan mengingat laporan keuangan pada semester pertama perusahaan mampu menghasilkan NOPAT yang cukup tinggi hal ini juga membawa pengaruh terhadap nilai EVA yang positif yang berarti perusahaan telah mampu menciptakan nilai tambah bagi perusahaan. Kata kunci: Kinerja Keuangan, EVA, MVA

Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market