Muhammad Rijal Alim Rahmat
Fakultas Ekonomi dan Bisnis, Universitas Negeri Makassar

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Core Tax Administration System and Transformation of Risk-Based Taxpayer Compliance Supervision in Indonesia Rahmat Burhamzah; Deddy Ibrahim Rauf; Muhammad Rijal Alim Rahmat
Economics and Business Journal (ECBIS) Vol. 4 No. 4 (2026): May
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v4i4.358

Abstract

Digital transformation is an important agenda in tax administration reform in Indonesia. One of the strategic steps taken by the Directorate General of Taxes (DGT) is the implementation of the Core Tax Administration System (CTAS) as a core system that integrates all tax administration processes. This study aims to examine the role of CTAS in strengthening taxpayer compliance supervision in Indonesia. The research uses a qualitative descriptive approach by utilizing secondary data in the form of DGT performance reports, official publications, and literature related to tax modernization. The analysis was carried out by examining changes in administrative processes, data management, and supervision patterns after the implementation of CTAS. The results of the study show that CTAS plays a role in improving the quality and integration of tax data, strengthening risk-based supervision, and supporting more systematic compliance monitoring. However, the effectiveness of the implementation of CTAS still faces challenges, especially related to the readiness of human resources and the equitable distribution of technological infrastructure.
Analisis Volatilitas Return Saham Emiten Sektor Keuangan di Bursa Efek Indonesia (BEI) pada Periode Terjadinya Unusual Market Activity (UMA) Tahun 2023 - 2025 Menggunakan Model GARCH Anisya Devinta Taufik; Muhammad Ilham Wardhana Haeruddin; Hety Budiyanti; Andi Dewi Angreyani; Muhammad Rijal Alim Rahmat
Jurnal Ilmu Manajemen, Bisnis dan Ekonomi Vol 4 No 3 (2026): Oktober
Publisher : PT Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jimbe.v4i3.581

Abstract

This study aims to analyze the stock return volatility of financial sector issuers listed on the Indonesia Stock Exchange (IDX) during periods of Unusual Market Activity (UMA) between 2023 and 2025, utilizing the GARCH model. The research employs a descriptive-comparative design with a quantitative approach. The sample comprises 30 financial sector issuers selected via purposive sampling, using an event window of t−5 to t+5. Analytical techniques include the ADF test, ARCH effect test, GARCH(1,1) model estimation, the Friedman Test, and the Wilcoxon Signed-Ranks Test. The results indicate that: (1) Stock return volatility exhibits characteristics of volatility clustering and leptokurtosis that can be modeled using GARCH(1,1), as evidenced by the significant ARCH coefficient (α = 0.3280; prob = 0.0012); (2) There are significant differences in volatility patterns across the periods before, during, and after the UMA announcement (Chi-Square = 40.267; Sig. < 0.001); (3) Volatility is non-persistent, characterized by a low persistence coefficient (λ = 0.1628), indicating that the impact of the UMA announcement is merely temporary and the market is capable of efficiently returning to normal conditions.