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All Journal MANAJEMEN DEWANTARA
Muhammad Rijalul Abror Al-Ma’ruf
Universitas Trunojoyo Madura

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ANALISIS PERAN INFORMASI BERITA DAN INFLUENCER DALAM PROSES PENGAMBILAN KEPUTUSAN INVESTASI (STUDI KASUS : INVESTOR KODE BROKER XL) Muhammad Rijalul Abror Al-Ma’ruf; Uswatun Hasanah; Nurita Andriani
MANAJEMEN DEWANTARA Vol 10 No 1 (2026): MANAJEMEN DEWANTARA
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/md.v10i1.21378

Abstract

Objectives: To examine how investors utilize and reconcile conflicting information from financial news and influencers in investment decisions. Methods: Qualitative case study using semi-structured interviews with purposively selected active investors and source triangulation. Research Gap/Novelty: Explores contrasting information-processing strategies among fundamental investors, short-term traders, and novice investors. Results: Fundamental investors used formal news for valuation, while traders considered it outdated. Influencers triggered FOMO among novices but served as warning signals for experienced investors. Conclusion: Investment decisions reflect cognitive biases and information conflicts, emphasizing the importance of behavioral risk warnings and cross-validation strategies.
ANALISIS ROA DAN DER DALAM MEMPREDIKSI POTENSI FINANCIAL DISTRESS PADA PERUSAHAAN BATU BARA DI TENGAH FLUKTUASI HARGA KOMODITAS ( TAHUN 2020-2024) Muhammad Rijalul Abror Al-Ma’ruf
MANAJEMEN DEWANTARA Vol 10 No 3 (2026): MANAJEMEN DEWANTARA
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/md.v10i3.22398

Abstract

This research aims to analyze the influence of Return on Assets (ROA) and Debt to Equity Ratio (DER) in predicting potential financial distress in coal mining companies listed on the Indonesia Stock Exchange. The study specifically focuses on the transformative period of 2020-2024, which was characterized by global economic shocks and extreme commodity price fluctuations. The research employs a quantitative approach using secondary data from audited annual financial statements. Purposive sampling was used to select representative coal companies that remained active throughout the observation period. Data analysis was conducted using Multiple Linear Regression via SPSS software, incorporating classical assumption tests and hypothesis testing through t-tests and F-tests. Potential financial distress is measured using the modified Altman Z-Score model. The results indicate that ROA has a significant positive effect on the Z-Score, suggesting that higher profitability effectively reduces the risk of financial distress. Conversely, DER does not show a significant partial effect on the Z-Score in this specific sector. Collectively, ROA and DER significantly influence financial distress potential, although the adjusted R-square of 0.179 implies that external macro factors predominantly drive the financial health of coal companies during this volatile period.