Analysis of Cryptocurrency Financial Reporting Based on PSAK
DOI:
https://doi.org/10.70062/harmonymanagement.v2i1.171Keywords:
Cryptocurency, Accounting, Bitcoin, Digital, CurrencyAbstract
Cryptocurrency in Indonesia has begun to develop and is starting to be widely used by businessmen in Indonesia. This is a phenomenon given the need for accounting treatment for cryptocurrency transactions. This research seeks to explore and test cryptocurrency and blockchain technology with the approach and review of PSAK in Indonesia and focuses on accounting treatment for cryptocurrencies in Indonesia. The purpose of this study is to conduct an accounting study for cryptocurrencies based on PSAK that applies in Indonesia. The study used a review literature model to figure out accounting for cryptocurrencies.
References
Cashmere. (2017). Analysis of financial statements. PT Raja Grafindo Persada.
Cashmere. (2018). Financial statement analysis. PT Raja Grafindo Persada.
Fanny, T. A., & Retnani, E. D. (2017). Comparative analysis of financial prediction models distress in the plantation sub-sector. Jour-nal of Accounting Science and Research, 6(6), 1-15.
Gerdian, P. (2016). Analysis of the accuracy of Altman, Grover, Springate, and Zmijewski's methods in predicting delisting companies (Empirical study on manufacturing companies on the Indonesia Stock Exchange for the 2009-2013 period) [Thesis, Sanata Dharma University].
Goni, M. R. A., Tampi, D. L., & Manopo, W. S. (2019). Analysis of PT Bluebird Tbk's financial ratios after the existence of online-based transportation facilities. Journal of Business Administration, 8(1), 71-78.
Hanafi, M. M., & Halim, A. (2016). Analysis of financial statements (5th ed.). UPP STIM YKPN.
Hery. (2015). Analysis of financial statements. CAPS (Center For Academic Publishing Service).
Hery. (2017). Accounting research review. PT Grasindo.
Kadim, A., & Sunardi, N. (2018). Altman Z-Score analysis to predict bankruptcy in government banks (SOEs) in Indonesia 2012-2016. Journal of LPPM & Banten Management Study Program, Pamulang University.
Khairudin, & Wandita. (2017). Analysis of the influence of profitability ratio, debt to equity ratio (DER), and price to book value (PBV) on stock prices of mining companies in Indonesia. Journal of Accounting & Finance, 8(1), 68-84.
Kurniawati, L., & Kholis, N. (2016). Analysis of financial distress prediction model in Islamic banking companies in Indonesia. Sharia Paper Accounting, FEB UMS, 145-153.
Laksmana, K. A. R. I., & Darmawati, A. (2019). Analysis of Grover, Springate, model accuracy test, and Zmijewski in predicting the bankruptcy of delisted companies on the IDX. Journal of Master of General Management, 8(1), 1-11.
Patunrui, I. A., & Yati, S. (2017). Analysis of financial distress prediction using the Altman model (Z-Score) in pharmaceutical compa-nies listed on the Indonesia Stock Exchange for the 2013-2015 period. Journal of the Department of Accounting Faculty of Economics and Business Management.
Piscestalia, N., & Priyadi, M. P. (2019). Comparative analysis of financial distress prediction models with model Springate, Ohlson, Zmijewski, and Grover. Journal of Accounting Science and Research, 1-10.
Prabawati, D. K. (2016). The implementation of the marketing strategy of Blue Bird conventional taxi transportation services in facing competition for transportation services based on online application in Surabaya. Perbanas College of Economics.
PT Blue Bird Tbk. (2014). Annual report PT Blue Bird Tbk 2014. Retrieved from www.bluebirdgroup.com
PT Blue Bird Tbk. (2016). Annual report PT Blue Bird Tbk 2016. Retrieved from www.bluebirdgroup.com
PT Blue Bird Tbk. (2017). Annual report PT Blue Bird Tbk 2017. Retrieved from www.bluebirdgroup.com
PT Blue Bird Tbk. (2018). Annual report PT Blue Bird Tbk 2018. Retrieved from www.bluebirdgroup.com
PT Blue Bird Tbk. (2019). Annual report PT Blue Bird Tbk 2019. Retrieved from www.bluebirdgroup.com
PT Blue Bird Tbk. (2020). Annual report PT Blue Bird Tbk 2020. Retrieved from www.bluebirdgroup.com
Rizkyansyah, K., & Laily, N. (2018). Measurement of health levels and financial symptoms distress with the Springate, Zmijewski, and Grover methods. Journal of Science and Research Management, 7(5), 1-16.
Sari, M. M. (2019). Profitability factors in the manufacturing industry company sector Indonesia (Case study: Product sub-sector). Journal of Management Tools.
Sinarti, & Sembiring. (2015). Bankruptcy prediction analysis of manufacturing companies listed in Indonesia Stock Exchange. Interna-tional Journal of Economics and Finance, 5, 354-359. ISSN: 2146-4138.
Sudrajat, M. A., & Wijayanti, E. (2019). Analysis of bankruptcy prediction (financial distress) with comparison of Altman, Zmijewski, and Grover models. INVENTORY: Journal of Accounting, 3(2), 116-129.
Sugiyono, P. (2017). Quantitative, qualitative, and R&D research methods. Alphabet.
Sugiyono, P. (2018). Mixed methods. Alphabet.
Supriyono, R. A. (2018). Behavioral accounting. UGM Press.
Wiratna, S. (2017). Analysis of financial statements. New Library.
Yuliana, D. (2018). Predict the bankruptcy of a company from a financial perspective with various methods. UIN-Maliki Press.
Zulaikah, S., & Laila, N. (2016). Comparison of financial distress of Islamic banks in Indonesia and Islamic banks in Malaysia before and after the 2008 global crisis using the Altman Z-score model. Journal of Theoretical and Applied Sharia Economics, 3(11), 900-914.

