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Analisis Risk dan Return Investasi pada Ethereum dan Saham LQ45 Mutia Fitri Chania; Oyami Sara; Isfenti Sadalia
Studi Ilmu Manajemen dan Organisasi Vol. 2 No. 2 (2021): Oktober
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v2i2.669

Purpose: This research aims to analyze the risk and return of investing in ethereum and LQ45 shares and to see the difference between LQ45 stock prices and ethereum prices before and after the announcement of the Covid-19 pandemic in Indonesia. Research Methodology: The research method uses the Kruskall-Wallis test and the Paired Sample t-test. Results: The results show the level of the return on ethereum and LQ45 shares did not have a significant difference, while the level of the risk between ethereum and LQ45 shares have a significant difference. For the price of Ethereum and LQ45 shares, there was a significant difference between before and after the Covid-19 pandemic was announced in Indonesia. The average price of ethereum and LQ45 shares decreased compared to before the announcement of the Covid-19 pandemic in Indonesia. Limitations: This research was conducted without including the risk-free rate in the calculation of stock risk. Contribution: This research is expected to be a reference for investors in viewed and analyzed investment opportunities based on risk and return during Covid-19.

Analysis of the Effect of Capital Structure, Corporate Governance and Intellectual Capital on the Possibility of Financial Distressin Coal Mining Companiesin Indonesia and Australia Mutia Fitri Chania; Khaira Amalia Fachrudin; Amlys Syahputra Silalahi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6954

The purpose of this study is to analyze and find out how the influence of capital structure, corporate governance and intellectual capital on the possibility of companies experiencing financial distress in coal mining companies in Indonesia and Australia. The population of this study are coal mining companies listed on the Indonesia Stock Exchange and the Australian Stock Exchange for the 2016-2020 period. The research sample is 18 coal mining companies on the Indonesia Stock Exchange and 18 coal mining companies listed on the Australian Stock Exchange for the 2016-2020 period. The data analysis technique used logistic regression analysis with the SPSS program to test these variables. The evidence proves that (1) capital structure has a significant positive effect on the possibility of companies experiencing financial distress in Indonesian coal mining companies and Australian mining companies, (2) board size has a positive and insignificant effect on the possibility of companies experiencing financial distress in state coal mining companies. Indonesia and has a negative and insignificant effect on Australian mining companies, (3) board composition has a negative and insignificant effect on the possibility of companies experiencing financial distress in Indonesian state coal mining companies and has a positive and insignificant effect on Australian mining companies, (4) audit committee has a negative and insignificant effect on the possibility of the company experiencing financial distress at the Indonesian state coal mining company and a positive and significant effect on the company Australian mining companies, (5) remuneration committee has a positive and insignificant effect on the possibility of companies experiencing financial distress in Indonesian coal mining companies and negative and significant effects on Australian mining companies, (6) intellectual capital (VAIC) has a negative and insignificant effect on the possibility of the company experiencing financial distress in a coal mining company from Indonesia to the state of Australia

Generation Y and Digital Transformation: Determinants of Intention to Adopt E-Payment Harahap, Heri Faisal; Chania, Mutia Fitri
Journal Of Management Analytical and Solution (JoMAS) Vol. 5 No. 1 (2025): Journal Of Management Analytical and Solution (JOMAS)
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomas.v5i1.19535

This study examines the factors influencing Generation Y’s intention to adopt ePayment services, using the Technology Acceptance Model (TAM) framework.The study involved 200 Generation Y respondents. The variables tested includeperceived usefulness, perceived ease of use, perceived risk, and subjectivenorms. Structural Equation Modeling-Partial Least Square (SEM-PLS) analysisrevealed that all variables significantly influence the intention to adopt ePayment. The findings indicate that perceived usefulness and ease of use havethe most substantial impact, reflecting the importance of efficient and accessiblesystems for users. Conversely, perceived risk, particularly concerning securityand privacy, acts as a primary barrier, highlighting the need for more securesystem development. Subjective norms also influence user intentions throughsocial pressures from family, friends, and other significant figures. This studyunderscores the importance of addressing perceived risks, enhancing systemusability, and leveraging social influence to promote e-Payment adoption amongGeneration Y. The findings offer strategic insights for technology developers,policymakers, and marketers to optimise e-Payment implementation and userengagement.

Generation Y and Digital Transformation: Determinants of Intention to Adopt E-Payment Harahap, Heri Faisal; Chania, Mutia Fitri
Journal Of Management Analytical and Solution (JoMAS) Vol. 5 No. 1 (2025): Journal Of Management Analytical and Solution (JOMAS)
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomas.v5i1.19535

This study examines the factors influencing Generation Y’s intention to adopt ePayment services, using the Technology Acceptance Model (TAM) framework.The study involved 200 Generation Y respondents. The variables tested includeperceived usefulness, perceived ease of use, perceived risk, and subjectivenorms. Structural Equation Modeling-Partial Least Square (SEM-PLS) analysisrevealed that all variables significantly influence the intention to adopt ePayment. The findings indicate that perceived usefulness and ease of use havethe most substantial impact, reflecting the importance of efficient and accessiblesystems for users. Conversely, perceived risk, particularly concerning securityand privacy, acts as a primary barrier, highlighting the need for more securesystem development. Subjective norms also influence user intentions throughsocial pressures from family, friends, and other significant figures. This studyunderscores the importance of addressing perceived risks, enhancing systemusability, and leveraging social influence to promote e-Payment adoption amongGeneration Y. The findings offer strategic insights for technology developers,policymakers, and marketers to optimise e-Payment implementation and userengagement.

PENGARUH RASIO KEUANGAN TERHADAP KINERJA KEUANGAN SEKTOR PERBANKAN (STUDI KASUS PERUSAHAAN SEKTOR PERBANKAN YANG TERCATAT DI BURSA EFEK INDONESIA PERIODE 2020-2023) Kusuma, Felicia Frederica; Vebiony, Viony; Sembiring, Jessi Charina; Chania, Mutia Fitri
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/m2v51v71

Penelitian ini bertujuan untuk menganalisis pengaruh rasio keuangan sektor perbankan (studi kasus perusahaan sektor perbankan yang tercatat di bursa efek Indonesia periode 2020-2023). Metode penelitian yang digunakan dalam penelitian ini mneggunakan metode penelitian kuantitatif. Populasi penelitian ini adalah seluruh perusahaan sektor perbankan yang tercatat di Bursa Efek Indonesia berjumlah 47 perusahaan. Sampel penelitian yang diperoleh adalah 124 sampel. Metode analissis data yang digunakan adalah menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa rasio keuangan secara parsial hanya uji NPL yang tidak berpengaruh terhadap ROA karena nilai dari thitung -0.647 < ttabel 1.7032 dengan p-value lebih besar dari 0,05 sedangkan di rasio CAR dan LDR memiliki pengaruh signifikan secara parsial terhadap ROA. Secara simultan rasio CAR, NPL, dan LDR memiliki pengaruh terhadap ROA dapat dilihat dari hasil koefisien determinasi. Hasil hitung dari koefisien determinasi (R^2) sebesar 0,138 atau 13.8% yang berarti besar pengaruh secara simultan variable CAR (Capital Adequacy Ratio), NPL (Non-Performing Loan) dan LDR (Loan to Deposit Ratio) terhadap kinerja keuangan (ROA) adalah sebesar 13.8%. Untuk sisanya 86.2% dipengaruhi oleh variabel lain yang tidak dibahas atau dijelaskan dalam penelitian ini.

Analysis of the Use and Application of Mathematics in Economics: Demand and Supply Functions Lubis, Andrew Satria; Zulfan; Chania, Mutia Fitri; Adha, Ishbir Mujahid
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 1 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i1.17603

The aim of this study is to analyze how mathematics is used in economics in terms of the function of supply and demand, which is an important concept in the economy that explains the relationship between the price of goods or services and the quantity requested or offered. Using a mathematical approach, these concepts can be described more quantitatively and accurately, allowing for a more in-depth analysis of the functions of demand and supply. To determine the components that influence changes in supply and demand, mathematical models such as linear regression and elasticity analysis are used. In addition, the study examines how price changes affect market balance and how the functioning of supply and demand can be influenced by things that come from outside, such as government policies and the global economic situation. Research results show that analysis of the function of supply and demand using mathematical models gives us a better understanding of market dynamics. For example, analysis of demand elasticity shows how sensitive consumers are to price changes, and analysis of supply shows how prepared producers are for price changes. Policymakers and market players can make more strategic and informational choices by knowing these mathematical relationships. The study found that mathematics improved the predictability and accuracy of economic analysis and provided essential tools for good decision-making in various economic contexts.

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