Publication Search

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

This study aims to analyze cryptocurrency investments and the risks faced by beginner investors who own digital assets such as Bitcoin, Solana, XRP, and other coins that have been increasing in value over the past few years, especially among the general public and retail investors. Not only retail investors, but governments also now hold digital assets, as has already happened. However, the unstable price and lack of global legal oversight make investing in cryptocurrency highly risky, especially for those with less knowledge and experience. The methods used in this study include literature review, descriptive analysis of historical price data for cryptocurrency, case studies, and interviews with several beginner investors. The findings show that cryptocurrency can generate large profits in a short time, but the risk of losing capital is also very high. Therefore, having a good understanding of blockchain technology, risk management, and investment psychology before starting to invest is important. This study is hoped to serve as a reference for beginner investors when considering decisions to invest in cryptocurrency.

This research analyzes the fundamental conflict between state regulation and Sharia principles regarding cryptocurrency in Indonesia, aiming to explore the views of Islamic scholars and the legal perspective in the Qur'an and its interpretations. Cryptocurrency has become a popular investment trend, especially among the youth. While the Bank Indonesia (BI) prohibits its use as a legal payment instrument, its trading activity is legalized as an investment asset under the supervision of OJK and BI. Conversely, the MUI Fatwa and the majority of scholars declare crypto transactions as forbidden (haram) due to the presence of elements prohibited in Islamic economics: riba (usury) and gharar (uncertainty). Gharar is linked to the extreme price volatility that encourages speculation (maysir) and the non-physical nature of crypto. Riba, on the other hand, is associated with the potential for unfair profit in lending and staking mechanisms. This prohibition is rooted in the interpretation of the Qur'an (QS. Al-Baqarah: 275 and QS. An-Nisa: 29), which strictly forbids riba and consuming others' wealth through bathil (unlawful) means. Consequently, although legally accepted as an investment asset, many scholars view crypto as violating the principles of justice and transparency in Islamic economics.

This literature review investigates the influence of fair value accounting (FVA) on enhancing financial transparency, particularly within the evolving context of digital assets. By analyzing 103 peer-reviewed articles, the study evaluates how FVA facilitates automated, real-time, and market-based disclosures. It identifies FVA as a tool for increasing investor trust and improving the clarity of financial statements by aligning valuations with current market conditions. The review also highlights the specific challenges of applying FVA to decentralized and volatile digital assets such as cryptocurrencies and non-fungible tokens (NFTs). Although FVA contributes to more transparent and relevant reporting, the implementation of FVA for digital assets is hindered by several critical issues. These include inconsistent valuation methodologies, lack of standardized regulatory guidance, susceptibility to market manipulation, and technological limitations in tracking asset value across decentralized platforms. Furthermore, the rapid pace of innovation in digital finance outstrips the adaptability of existing accounting standards and legal frameworks, creating a gap that weakens the consistency of fair value assessments. The review proposes the integration of FVA within a broader theory of decision-making under uncertainty, emphasizing the need for adaptive and digitization-responsive accounting practices. It suggests practical frameworks that align valuation procedures with the unique characteristics of digital assets while ensuring compliance with emerging regulations. This research encourages ongoing examination and policy innovation to ensure that FVA continues to support transparency and informed decision-making in a dynamic financial landscape.

Advances in technology and computers are utilized in various fields of contemporary applications, especially in cryptography and data security in graph theory applications. By understanding the concepts of graph theory, researchers and developers can design cryptographic algorithms that are stronger, more efficient and resistant to attacks. One of the cryptographic applications that has been implemented is the XNOR algorithm. This algorithm has been applied to encryption and decryption as well as the use of stream ciphers. By using 64 bits, the XNOR algorithm can expand encryption and decryption capabilities and increase the security of encrypted data. In this research, an analysis was carried out regarding information encryption and decryption algorithms with the application and development of the XNOR gate logic circuit method in Boolean algebra and graph theory. This research uses the example of the word MATH, which can be changed into a code or password and vice versa to secure information that you want to keep secret. Apart from that, an analysis of the graph formation of each character in the word MATH was also carried out using Python which produced semi-Euler and Hamilton graphs  

Amidst the dynamic global economy that is often characterized by inequality, the development of an inclusive and equitable Islamic monetary system is a crucial urgency. An Islamic monetary system based on sharia principles and values can offer a promising alternative. In this context, blockchain can be utilized as a transformative technological innovation that can be aligned with the Islamic monetary system. This research utilizes a comprehensive literature review methodology from scientific journals and related books. This literature study analyzes the use of blockchain in the development of an inclusive and equitable Islamic monetary system, exploring the alignment of principles, potential applications and implementation challenges and implications. The findings of this study show that the core characteristics of blockchain such as decentralization, transparency, immutability and cryptographic security are aligned with the objectives and philosophical foundations of Islamic macroeconomics, such as the prohibition of riba, gharar, maysir, fairness of wealth distribution and financial inclusion. Potential applications include developing the efficiency of zakat, waqf and alms, issuing digital sukuk and developing Islamic crowdfunding. Although the opportunities are wide open, the implementation still faces significant challenges, such as sharia compliance issues related to digital volatility, fatwa fragmentation, scalability issues, data security, consumption of shariah-compliant digital assets, and the need for digitalization.

The rapid development of digital technology and the increasing complexity of financial products, from digital wallets and bank loans to cryptocurrency and investment platforms, highlight the urgent need for financial literacy education, particularly for vocational high school (SMK) students in Indonesia. Many SMK graduates directly enter the workforce or pursue entrepreneurship without attending university, making financial decision-making skills crucial. This article explores the potential of Android-based e-books as an innovative and accessible learning medium to enhance students’ financial literacy. Designed to be interactive, contextual, and engaging for Gen Z learners, the proposed e-book serves as a pedagogical supplement, not a replacement, to classroom teaching. Drawing from literature reviews, examples of existing apps, and relevant educational frameworks, the article emphasizes the importance of developing localized, curriculum-aligned digital resources. The paper concludes with suggestions for evaluating financial learning apps and recommends steps for integrating them effectively into SMK education.

This study examines the phenomenon of Central Bank Digital Currency (CBDC) as a technological innovation that changes the landscape of the global monetary system. In the midst of the rapid development of digital technology and cryptocurrencies, central banks in various countries are starting to consider and develop their own digital currencies. This study aims to comprehensively analyze the aspects of CBDC implementation, including its potential benefits, challenges, and impact on financial system stability and monetary policy. Through a descriptive qualitative approach with a literature study method, this study explores various dimensions of CBDC, including technological architecture, implementation models, and its socio-economic implications. The results of the study show that CBDCs have significant potential in improving the efficiency of the payment system, encouraging financial inclusion, and strengthening the transmission of monetary policy. However, its implementation also presents serious challenges related to data privacy, cybersecurity, and the stability of the banking system. This study makes an important contribution to a comprehensive understanding of CBDCs and their implications for the future of the global financial system.

This qualitative literature review examines the impact of tax policies on cryptocurrency exchange preferences within the context of evolving regulations. With the rapid growth of the cryptocurrency market, understanding the relationship between tax regulations and user behavior has become crucial. This study synthesizes findings from various research articles, highlighting how clear and transparent tax policies can influence user engagement and compliance in cryptocurrency trading. The review reveals that uncertainty regarding tax obligations often leads to user avoidance of cryptocurrency exchanges, while a better understanding of tax responsibilities correlates with more proactive investment management. Furthermore, the analysis indicates that cryptocurrency platforms demonstrating transparency in tax handling are preferred by users. The findings emphasize the necessity for governments to develop supportive tax frameworks and educational initiatives to facilitate healthy growth in the cryptocurrency sector. Overall, the research underscores the importance of regulatory clarity in fostering user trust and participation in cryptocurrency exchanges, ultimately contributing to a more robust and sustainable market.

Cryptocurrency is a blockchain-based technology that is used for all activities so that it has the potential to increase state revenue, especially in terms of taxation. This study aims to determine the implementation of tax policies on Cryptocurrency transactions in Indonesia. This research uses descriptive qualitative methods using secondary and primary data. Secondary data is obtained through journals, books, and tax laws. Based on this research Cryptocurrency can be subject to income tax and value added tax. The results of this study indicate that the implementation of tax policies on crypto asset transactions in Indonesia has referred to the provisions as stated in PMK Number 68 / PMK.03 / 2022. However, there are still some weaknesses in the implementation of this tax policy on crypto asset transactions. In addition, in terms of supervision, it still only adheres to supervision of formal tax obligations. Therefore, supervision of the implementation of tax policies on crypto asset transactions still needs to be improved.    

The rapid advancement of quantum computing has significantly impacted data security, as classical cryptographic algorithms such as RSA and ECC are increasingly vulnerable to quantum attacks. This study aims to evaluate the performance of classical and post-quantum cryptographic algorithms in a quantum simulation environment, focusing on stability, efficiency, and computational time. The research method employed experimental simulations using Qiskit, where cryptographic algorithms were modeled into quantum circuits and tested across varying qubit sizes of 128, 256, 512, and 1024. The simulation results indicate that classical algorithms face substantial limitations, with exponentially increasing computational time and drastically reduced stability beyond 512 qubits. In contrast, post-quantum algorithms demonstrated superior performance, maintaining high stability up to 1024 qubits, achieving greater quantum efficiency, and showing resilience against quantum attacks such as Shor’s and Grover’s algorithms. These findings highlight the urgent need to transition toward post-quantum cryptography as a more adaptive and reliable approach to safeguarding data in the quantum era. Although post-quantum algorithms still face certain challenges, such as larger key sizes and slightly higher computational costs at smaller scales, their overall benefits are far more significant in ensuring sustainable information security. Therefore, adopting post-quantum cryptography represents a strategic step that must be prioritized to address the evolving risks posed by quantum computing technologies.

Quantum computing has emerged as a revolutionary paradigm, holding immense potential to solve complex problems that classical computing struggles to address. This study explores the application of quantum computing in cryptography, with a specific focus on two major quantum algorithms: Shor’s algorithm for large number factorization and Grover’s algorithm for unstructured database searching. The main objective of this research is to compare the performance of these quantum algorithms with classical cryptographic methods in terms of computational efficiency and time. Shor’s algorithm, which can factorize large numbers in polynomial time, presents a significant threat to the security of public-key cryptosystems such as RSA, which rely on the difficulty of factoring large numbers. On the other hand, Grover’s algorithm offers a quadratic speedup for searching unstructured databases, making it highly relevant for symmetric key cryptography systems like AES. In this study, simulations of both algorithms were conducted using quantum simulators to assess their speed and effectiveness in solving cryptographic challenges. The results demonstrate that quantum algorithms significantly reduce the computation time compared to classical methods, with Shor’s algorithm efficiently solving factorization problems and Grover’s algorithm accelerating key searching processes. However, while these quantum algorithms show promise in improving cryptographic systems, the implementation of large-scale quantum computers remains a challenge. This research highlights the potential of quantum computing to revolutionize data security and underscores the need for further development in quantum algorithms and the transition to quantum-resistant cryptographic systems to safeguard against the threat posed by quantum computers.

This research analyzes cryptocurrency fundamentals during the pandemic COVID-19 significantly affected cryptocurrencies during a brief period of financial panic. Technological advances resulted in the shift of traditional currencies towards digitalization. Volume and market cap variables are used as independent variables. The cryptocurrencies in this study are Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin, which have the top 10 largest market capitalization. The research data was taken on the CoinMarketcap.com website from the beginning of the pandemic in Indonesia in March 2020 – to February 2021. The results showed that the Market Cap of Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin had a significant effect on the price. Furthermore, the volume of Bitcoin, Ethereum, Binance, and Dogecoin has an effect and is significant on the price. In comparison, Ripple Volume has no effect and is not significant to the price. This implies that highly speculatively priced cryptocurrencies have the same fundamental value as stock prices.