Rizal Fadilah
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Analisis Komparasi Algoritma Dalam Prediksi Indeks Harga Saham Gabungan (IHSG) Febriandika Dian Nurcahyo; Rizal Fadilah; Betha Nurina Sari
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 11 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (129.562 KB) | DOI: 10.5281/zenodo.6831705

Abstract

JKSE is an index that can describe the condition and stability of the Indonesian economy. JKSE has a very fast movement and has large fluctuations because the JKSE is a joint stock so predicting its movement can be a little difficult. Due to the difficulties in forecasting the JKSE stock price, the right algorithm is needed to have accurate forecasting results. The results of the three algorithms will be compared using T-Test to evaluate the performance of the three algorithms in predicting the movement of the JKSE stock. The results of the comparison between linear regression algorithms, neural networks, and support vector machines, it is found that the neural network algorithm has the best performance with an RMSE value of 14,660. Then the backward elimination method was used in the model, it was found that the performance of the algorithm in that model had an increase, except for the linear regression algorithm. The neural network algorithm plus the backward elimination method is the best algorithm with an RMSE value of 10,895.
Tax Avoidance in the Global Economy: Mechanisms, Impacts, and Regulatory Responses Mohamad Anwar Masruri; Rasiman Rasiman; Verni Asvariwangi; Rizal Fadilah; Hurriyaturrohman Hurriyaturrohman
Jurnal Mahasiswa Akuntansi dan Bisnis (JMAB) Vol 4 No 1 (2025): MEI
Publisher : Program Studi Akuntansi Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jharmoni.v4i1.19852

Abstract

Tax avoidance remains a crucial issue in global fiscal policy, undermining the public revenue system and exacerbating economic inequality. This article synthesizes the latest research on tax avoidance mechanisms, socio-economic implications, and the ever-evolving regulatory framework. Using a systematic literature review, we analyzed peer-reviewed studies, policy documents, and empirical data from 2018 to 2024. Key findings reveal sophisticated strategies such as profit shifting, transfer pricing manipulation, and exploitation of tax havens, which are widely used by multinational corporations (MNEs) and high-income individuals (HNWIs). This article highlights the role of digitalization and crypto assets in facilitating non-transparent financial flows, while also evaluating the effectiveness of global initiatives such as the OECD's Base Erosion and Profit Shifting (BEPS) Project and the Global Minimum Tax Agreement. Policy recommendations focus on transparency, multilateral cooperation, and the use of adaptive technologies.