Blockchain transformative technology that enables secure, decentralized, and immutable transaction recording through a network of cryptographic blocks, enhancing transparency and trust without the need for a central authority or intermediaries. The Ethereum platform builds upon this foundation by facilitating the development of decentralized applications (dApps) and smart contracts, which automate processes and improve operational efficiency. In higher education, the Student Activity Credit Unit (SACU) system exemplifies the application of blockchain by managing both academic and non-academic achievements, thus promoting a holistic approach to student development and enhancing essential soft skills like leadership and teamwork. By leveraging a decentralized system built on Hyperledger Besu, the SACU ensures that student records are secure, transparent, and scalable, while providing real-time monitoring and verification of achievements. This paper evaluates the decentralized student’s achevements record model, demonstrating its improvements in transparency, security, and efficiency over existing systems, ultimately preparing graduates for professional success and fostering trust in the recognition of their qualifications.
In blockchain ecosystems, maintaining transparency and privacy has become an ethical dilemma. This is because, while certain specific information of the user is shared to ensure transparency of transactions across networks, such information could be detrimental to the user, as there is a possibility of it being tampered with. For instance, in the Catalyst voting process in Cardano, users can still see the amount of ADA tokens being held by other users, which can influence their voting options, especially when large ADA holders vote in support of certain ideas or proposals. To discourage such challenges as voter manipulation and vote buying, this study proposed the implementation of zero-knowledge proof (ZKP) in blockchain ecosystems to enhance the transparency of the catalyst voting process and enhance efficiency and speed of result release. Using survey questionnaire and a multivocal literature review, this study was able to proof that ZKP cannot only be applied in the catalyst voting process to enhance its transparency, but also addressed potential challenges to its applications such as scalability, encourage trust and fairness of the voting system, and improve voter participation due to its user-friendliness. Mathematical models emphasize scaled voting as optimal for balancing inclusion and plutocratic control.
The role of counterfeit goods in the industrial industries has grown in recent years. Name recognition, sales, and bottom line results are all impacted. Authentic products can be located and counterfeit goods can be identified with the use of blockchain technology. Distributed ledger technology, also known as blockchain, is a digital system that records transactions in a decentralised database using a system of interconnected blocks. Since blockchain technology is impenetrable, no one block can be altered or compromised. Customers and users can verify the safety of a product without depending on other users thanks to blockchain technology. As mobile and wireless technologies continue to evolve, this investigation finds that rapid response (QR) codes offer a strong tool in the fight against product counterfeiting. Using a QR code scanner that is connected to a blockchain can help identify counterfeit products. One possible usage of this system is to create unique codes for products and store them in the database as blocks. It takes the user's one-of-a-kind code and checks it against records in the blockchain ledger. A notification will be sent to the consumer if the code matches. In any other case, the buyer will be alerted that the goods is counterfeit.
Cryptocurrency Bitcoin is one of the largest investment crypto assets throughout the world with a total market capitalization of 1.35 trillion US Dollars. Bitcoin was created by Satoshi Nakamoto in 2009 with a decentralized blockchain system. Indonesia is still ranked 7th in the world in cryptocurrency adoption, which means Indonesia is still behind other countries. The inhibiting factors are poor government regulations and a lack of public education platforms regarding this new cryptocurrency technology. This research aims to analyze and predict trends in Indonesian people's interest in bitcoin in the context of the 2024 bitcoin halving, taking Google Trends data and then predicting it using a double exponential forecasting algorithm. Related data was collected to analyze community interest patterns using the KDD (Knowledge Discovery in Database) method. Searches with the keyword "bitcoin" reached the day of the 2024 bitcoin halving on April 19, 2024. From the dataset obtained from the 2014-2024 period with a total of 121 records, using the double exponential 29 forecasting algorithm produces test and train RMSE values of 7,184 and 14,907. Meanwhile, the train and test MAPE values are 0.313 and 0.861. The model that has been created is then implemented using the Python Stremlit library so that web-based analysis can be carried out. The predicted peak point value in 09-2024 is 48.5 and the lowest point in 08-2025 is 17.9. It is hoped that this trend analysis can help develop the adoption of crypto assets, especially bitcoin, to educate the public about the importance of bitcoin as a future investment asset, and the government needs to play a role in making crypto adoption easier in Indonesia.
The Internet has become one of the main media, especially e-commerce transactions, which are increasingly popular and play an important role in the growth of online businesses. The RestLyfe store uses the Itemku platform, which uses a Business to Customer (B2C) and Customer to Customer (C2C) model, to sell digital products such as digital vouchers and game keys. However, some of the issues faced when using the platform include high costs, limited market reach, and payment methods that can only be used by certain customers. Building an e-commerce website and adding a cryptocurrency payment gateway will hopefully solve these problems. To achieve this goal, an e-commerce website based on the WordPress content management system (CMS) with the WooCommerce plugin will be built. This plugin will incorporate a cryptocurrency payment gateway and facilitate transaction design. To collect related data, observation and literature review were conducted. The waterfall model System Life Cycle Development (SDLC) method will be used to build the e-commerce website. The results and conclusions of this study show that the website built can solve the problem with implementation results that meet the needs of the initial analysis, and the results of black box testing conducted on the website show good results. In addition, this study demonstrates the use of modern sales strategies for cryptocurrencies and the optimization of the latest technologies. Thus, the e-commerce site offers more opportunities to reach the target market and meet the needs of an increasingly digitized market.
Digital transformation and new technologies have made people’s lives easier and led to great results in most areas of business and society. Implementing blockchain technology is one of the best tools for establishing sustainable smart cities and societies. In terms of sustainable governance sophisticated and secure voting systems are necessary to achieve high integrity and transparency and null election fraud, and, in environmental sustainability, e-voting systems eliminate the mass waste of paper and transportation gas emissions; namely, e-voting systems are eco-friendly with high democratic outcomes. Blockchain technology can revolutionize e-voting by increasing the security and transparency of the voting process. Integrating artificial intelligence (AI) and machine learning (ML) into blockchain-based e-voting systems further augments their effectiveness. AI algorithms can analyze voting patterns and detect irregularities, supporting the prevention of fraudulent activities and coercion. ML procedures can enhance voter authentication processes, improve accessibility for diverse demographics, and optimize the productivity of blockchain networks during peak voting periods. This study focuses on understanding citizen perceptions of blockchain-based e-voting in a smart city context using the Technology Acceptance Model (TAM). The study’s results indicate that perceived ease of use and perceived usefulness are important factors in determining citizens’ intentions to use blockchain-based e-voting. Furthermore, trust in the technology and perceived security were found to influence the usefulness of blockchain-based e-voting positively. This study provides important insights for policymakers and technologists seeking to promote the adoption of blockchain-based e-voting systems in smart cities. The findings of the research supported the research model with positive results. In conclusion, our research model encourages the adoption of a blockchain-based e-voting system to enhance the future voting environment.
Ebenhasier Liunokas, Kresentius Iku Kobesi, Cecilia Novianti Salsinha
This study aims to predict bitcoin prices using the time series method. One of the time series methods used is the ARIMA model. The data used is secondary data obtained from the site https://finance.yahoo.com in the form of monthly closing price data. Monthly closing price data starting from August 2017 to July 2022 totaling 60 data. The data obtained is used to predict bitcoin prices for the next 10 months, namely August 2022 to May 2023. The results show that the ARIMA(0,2,2) model is the best model chosen. The prediction results using the ARIMA model (0,2,2) for August 2022 to May 2023 are 25,674.46; 26018.57; 26,362.68; 26,706.79; 27050.90; 27,395.01; 27,739.13; 28083.24; 28,427.35 and 28,771.46. The results of this prediction show that the price of bitcoin will increase and the difference between the actual price and the predicted results is not much different from the actual data on the price of bitcoin.
Az Zahra Nashira Ryan, Aris Prio Agus Santoso, Giovania Madeira Do Carmo, Jonathan James Kurniawan · 5 authors
The use of cryptocurrency assets in Indonesia is still prohibited as a means of payment but as an investment instrument it can be included as a commodity that can be traded on a term exchange as regulated in the regulation of Law No. 10 of 2011 concerning amendments to Law No. 32 of 1997. The positive impact of cryptocurrencies in consumer protection such as cryptocurrency financial access can provide access to the traditional banking system, thereby increasing financial inclusion. There are also negative impacts to consider in consumer protection: security risks associated with theft or hacking of cryptocurrency exchange platforms and digital wallets can threaten the security of consumer funds. This study aims to analyze about consumer protection of cryptocurrencies in the digital age. This research uses normative research methods and uses qualitative data types. The results of this study show that consumer protection in cryptocurrency in the digital era, among others, preventively, in cryptocurrency trading transactions as assets is also strengthened by the Regulation of the Commodity Futures Trading Supervisory Agency Number 9 of 2019 concerning Amendments to the Regulation of the Commodity Futures Trading Supervisory Agency Number 5 of 2019 concerning Textile Arrangements for the Implementation of the Physical Market of Cryptocurrency Assets on Futures Exchanges. Meanwhile, if repressively to protect what is given after a dispute arises in the form of sanctions, fines, imprisonment, and penalties imposed a dispute occurs, regulated in Article 22 of PerBappeti Number 5 of 2019 concerning Technical Provisions for the Implementation of the Physical Market of Cryptocurrency Assets on the Futures Exchange, that dispute resolution is carried out by deliberation to reach consensus if it does not reach consensus the parties can resolve through the Futures Trading Arbitration Agency Commodity (BAKTI) and the State Court as stated in the agreement between the parties. Bank Indonesia reaffirms the ban on the use of virtual currencies in cryptocurrency, both in the form of selling, buying, and trading with these currencies.
H. N. Singh, HAASHIM. SYED -, V - RAHUL., Jai Jayesh Shah
This study explores student awareness and attitudes towards cryptocurrency, finding a high level of general awareness (58%) with no significant gender differences. Younger students might be slightly more aware, but this needs further investigation. Interestingly, some females reported lower familiarity with blockchain technology and found the system less user-friendly. These trends suggest areas for promoting wider and more inclusive cryptocurrency adoption among all students.
Saur Costanius Simamora, Vanessa Gaffar, Meta Arief
Tinjauan literatur sistematis ini mencoba menjawab pertanyaan tentang metode apa yang digunakan untuk menganalisis bagaimana teknologi blockchain berperan dalam perkembangan periklanan digital. Lalu apa peran teknologi blockchain dalam perkembangan periklanan digital di industri lain. Blockchain memainkan peran besar dalam pemasaran digital, karena industri periklanan digital secara historis sangat bergantung pada pihak ketiga. Blockchain dapat menghilangkan perantara antara dua pihak, sehingga membantu merek dan pelanggan. Salah satu pendekatan studi literatur adalah Systematic Literature Review (SLR). Penelitian ini menggunakan Systematic Literature Review dengan Metode Prisma dengan bantuan UAKE, VOS viewer, dan Aplikasi Mendeley Watase. Penelitian ini dibatasi dengan hanya mencari artikel jurnal Scopus Q1, Q2, Q3, dan Q4, terbitan tahun 2018-2022. Berdasarkan (26) dua puluh enam artikel yang ditelaah, melalui proses systematic literature review, dengan rentang waktu terbitan artikel antara tahun 2018 sampai dengan 2022. Diperoleh hasil bahwa hanya sepuluh artikel yang memenuhi kriteria dan dijadikan rujukan dalam penelitian ini. Metode analisis data yang banyak digunakan ialah perancangan atau system planning (5 artikel), kemudian qualitative method (2 artikel), quantitative method (1 artikel) dan exploratory factor (1 artikel). Hasil penelitian menunjukkan bahwa teknologi blockchain berperan besar dalam perkembangan periklanan digital (digital advertising), yang banyak diterapkan di industri e-commerce, telekomunikasi, otomotif, pertanian, hiburan (film) bahkan untuk deteksi penipuan dan pencegahan kejahatan dalam periklanan online. Kata kunci : s tudi Pustaka; SLR; blockchain; periklanan digital; PRISMA
The purpose of this study is to analyze the sentiment generated from researchers' opinions through published articles related to bitcoin. Bitcoin is related to financial operations, online monetary transactions, electronic transactions, financial control, electronic payments and electronic money. Others, bitcoin is an electronic payment tool with a peer-to-peer concept that allows users to transact with each other without the intermediary of financial institutions. The data analyzed consisted of 99 research articles indexed by Scopus in 2022. The method used is a qualitative approach with descriptive statistics from the study of bitcoin-themed literature. The results showed that neutral sentiment was the highest result with a percentage of 48% followed by negative sentiment of 23%, positive sentiment 22%, high positive sentiment 4%, and high negative sentiment 3%. The diversity of sentiment results is obtained because of the pros and cons of bitcoin's existence
Istian Kriya Almanfaluti, Niken Amelia Putri, Muhammad Saddam Navaro
This research endeavors to contribute to the rapidly evolving landscape of technology-driven payment systems, with a focus on Indonesia. The primary objective is to design and develop a mobile application for a cryptocurrency digital wallet integrated with Quick Response Code Indonesian Standard (QRIS). The methodology involves utilizing Webservice for seamless implementation and Android Studio Framework for efficient mobile application development. The results showcase the successful creation of a mobile application that enables cryptocurrency owners to convert virtual assets into Indonesian Rupiah for various transactions, including purchasing mobile credits, electricity tokens, travel tickets, and other payments. The evaluation underscores the feasibility and practicality of the proposed solution, emphasizing the potential for increased ease, speed, and efficiency in transaction processing. This research opens avenues for further exploration and implementation of cryptocurrency-based payment systems, addressing the evolving needs of the digital economy in Indonesia and potentially serving as a model for global applications.Highlights : Seamless Implementation: The research successfully employs Webservice for the integration of a cryptocurrency digital wallet with QRIS, ensuring a smooth and efficient transaction process. Android Studio Framework: The use of the Android Studio Framework demonstrates the applicability and versatility of established tools in developing a robust and user-friendly mobile application for cryptocurrency transactions. Efficiency in Digital Transactions: The designed mobile application enables cryptocurrency owners to convert virtual assets to Indonesian Rupiah, enhancing transaction speed, ease, and overall efficiency in various financial interactionKeywords: Cryptocurrency, E-Wallet, QRIS Integration, Mobile Application, Digital Transactions. Keywords : Cryptocurrency, E-Wallet, QRIS Integration, Mobile Application, Digital Transactions.
The concept of Blockchain-based Smart Sukuk involves the use of Blockchain technology and smart contracts in the issuance and execution of Sukuk. Smart Sukuk and Blockchain: One of the innovations of Blockchain systems is smart sukuk. Effective issuance of smart sukuk allows small and medium enterprises (MSMEs) to take advantage of it. Because it increases transparency and eliminates the possibility of fraud or speculation in sukuk transactions, Blockchain is a technology that builds trust between issuers and investors. Smart Contracts: Smart contracts run on the Ethereum Blockchain and allow smart sukuk to be automated and executed digitally. Smart contracts eliminate some of the components and parties involved in conventional sukuk, such as trustees, registrars, payment agents, calculation agents, arrangers, listing agents, transfer agents, and security depository. MSME Financing Potential: Blockchain-based Smart Sukuk has the potential to support the development of MSMEs and the deepening of the Islamic financial sector. Efficiency and Transparency: The use of Blockchain technology in Smart Sukuk can increase efficiency, transparency, and cost, allowing companies to utilize sukuk structures more efficiently
Desi Windisari, Puspa Kurniasari, Melia Sari, Muhammad Fajri
Dalam era perkembangan teknologi yang pesat saat ini, terutama dengan koneksi internet yang semakin luas, terdapat berbagai inovasi yang signifikan. Salah satu contoh nyata dari perkembangan teknologi ini adalah Blockchain. Blockchain memiliki ciri khas dalam cara penyimpanan data dilakukan. Keunikan utama dari Blockchain adalah tidak memerlukan pengungkapan data pribadi pengguna untuk mengakses aplikasi tertentu. Teknologi ini digunakan untuk memfasilitasi berbagai transaksi di dalam jaringan terdesentralisasi, termasuk mata uang kripto, serta memiliki potensi besar untuk diterapkan di berbagai sektor industri, seperti logistik, kesehatan, dan permainan. Salah satu contoh implementasi Blockchain adalah dalam industri permainan, yang bertujuan untuk meningkatkan keamanan data transaksi di dalam permainan.
 Penelitian ini melibatkan penggunaan smart contract dari blockchain Polygon Mumbai Testnet sebagai alat pencatatan transaksi dan OpenSea Testnet sebagai apresiasi kepada pengguna selama permainan. Penelitian ini membutuhkan dua komponen utama, yaitu sistem blockchain sebagai backend dan sistem permainan sebagai antarmuka pengguna (frontend). Metode pengembangan yang digunakan adalah extreme programming
 Kedua sistem tersebut dikembangkan menggunakan bahasa pemrograman JavaScript untuk pembuatan sistem permainan dan integrasi antara sistem blockchain dan permainan, sementara bahasa Solidity digunakan untuk membangun smart contract dalam blockchain. Pengujian sistem dilakukan dengan metode black box, dan hasilnya menunjukkan bahwa fungsi-fungsi sistem telah diuji secara valid. Data yang telah divalidasi digunakan untuk menguji kepadatan jaringan berdasarkan zona waktu aktifitas Asia dan Eropa.
 Hasil pengujian menunjukkan bahwa sistem blockchain yang diimplementasikan dalam permainan berhasil berjalan dengan baik. Pengguna dapat dengan mudah melacak data transaksi dan hadiah yang mereka terima dalam permainan tanpa risiko kebocoran data pribadi
Background: Due to the increased interest in cryptocurrencies, opinions on cryptocurrency-related topics are shared on news and social media. The enormous amount of sentiment data that is frequently released makes data processing and analytics on such important issues more challenging. In addition, the present sentiment models in the cryptocurrency domain are primarily focused on English with minimal work on Malay language, further complicating problems. Objective: The performance of the sentiment regression model to forecast sentiment scores for Malay news and tweets is examined in this study. Methods: Malay news headlines and tweets on Bitcoin and Ethereum are used as the input. A hybrid Generalized Autoregressive Pretraining for Language Understanding (XLNet) language model in combination with Bidirectional-Gated Recurrent Unit (Bi-GRU) deep learning model is applied in the proposed sentiment regression implementation. The effectiveness of the proposed sentiment regression model is also investigated using the multi-head self-attention mechanism. Then, a comparison analysis using Bidirectional Encoder Representations from Transformers (BERT) is carried out. Results: The experimental results demonstrate that the number of attention heads is vital in improving the XLNet-GRU sentiment model performance. There are slight improvements of 0.03 in the adjusted R2 values with an average MAE of 0.163 (Malay news) and 0.174 (Malay tweets). In addition, an average RMSE of 0.267 and 0.255 were obtained respectively for Malay news and tweets, which show that the proposed XLNet-GRU sentiment model outperforms the BERT sentiment model with lesser prediction errors. Conclusion: The proposed model contributes to predicting sentiment on cryptocurrency. Moreover, this study also introduced two carefully curated Malay corpora, CryptoSentiNews-Malay and CryptoSentiTweets-Malay, which are extracted from news and tweets, respectively. Further works to enhance Malay news and tweets corpora on cryptocurrency-related issues will be expended with implementing the proposed XLNet Bi-GRU deep learning model for greater financial insight. Keywords: Cryptocurrency, Deep learning model, Malay text, Sentiment analysis, Sentiment regression model
Nov 1, 2023·2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
S. Gnanapriya, M Ram Eshwar, C G Shrikhiran, J Vijay Chandar · 5 authors
Electronic voting has become an increasingly popular topic of discussion in recent years but it has some security issues. Ethereum's smart contract capabilities make it possible to develop tamper-proof and transparent e-voting systems. Smart contracts are self-executing programs that are stored on the Ethereum blockchain, and can be used to automate the process of voting and ensure that the results are accurate and verifiable. This paper explores the use of Ethereum for e-voting, including the advantages and challenges of using this platform for voting. The paper discusses the use of smart contracts for implementing e-voting systems, the security and privacy considerations that must be taken into account, and the potential benefits of using Ethereum for e-voting. The paper also discusses the challenges that must be overcome to ensure the widespread adoption of Ethereum-based e-voting systems, including issues related to scalability, interoperability, and regulatory compliance. In conclusion, this paper argues that Ethereum has the potential to revolutionize the field of e-voting, offering a secure, transparent, and efficient solution for conducting political elections. While there are still many challenges to overcome, the use of Ethereum for e-voting represents an exciting opportunity for governments, businesses, and individuals around the world to participate in democratic processes in a more secure and efficient way.
2 source records
Blockchain Technology Applications and Security
Internet Traffic Analysis and Secure E-voting
Advanced Steganography and Watermarking Techniques
Chang Chi Hung, Jacky Filbert Wijaya, Victor Victor, Irpan Adiputra Pardosi · 5 authors
Bitcoin merupakan salah satu cryptocurrency paling berharga di dunia dan diperdagangkan di lebih dari 40 bursa di seluruh dunia dan menerima lebih dari 30 mata uang berbeda dengan 250.000 transaksi per hari. Dalam perdagangannya, Bitcoin menunjukkan fluktuasi pada pasar yang diperdagangkan, dalam hal ini fluktuasinya dapat mencapai 10 kali lebih tinggi daripada fluktuasi nilai tukar mata uang asing. Karena fluktuasi harga bitcoin yang masif dan tinggi, prediksi fluktuasi harga sangat dibutuhkan, terutama karena harga bitcoin bergerak dengan sangat acak. Untuk melalukan prediksi flutuktuasi harga, Random Forest classifier merupakan salah satu algoritma machine learning yang sering digunakan untuk prediksi, kesehatan, artificial intelligence, dll. K-means clustering juga dipergunakan untuk membantu algoritma random forest classifier dalam hal mengkluster data. Hasil dari penelitian ini yaitu melakukan prediksi terhadap naik atau turunnya harga bitcoin dengan akurasi sebanyak 71% yang didapatkan dari perbandingan hasil prediksi dan data asli dengan bantuan algoritma confusion matrix.
Excelcius Ferdian Roni, Calandra Alencia Haryani, Arnold Aribowo, Aditya Mitra
Since the internet's emergence, numerous facets of daily life have evolved, including online investment opportunities. Cryptocurrency investment has gained popularity in this digital era. Prospective investors now have various cryptocurrencies to choose from, tailored to their preferences. Due to the volatility of cryptocurrency market, investors need to have careful consideration of which cryptocurrency to be chosen including its related decision to be made during their investment. One crucial consideration in this selection process is assessing fellow investors' opinions, often found on social media. This study employs text mining, using the k-means clustering algorithm to explore prevailing sentiments among cryptocurrency investors. The data source consists of Twitter comments on three prominent cryptocurrencies, Bitcoin, Ethereum, and Binance totaling 55,651 tweets. The findings predominantly reveal neutral sentiments towards these cryptocurrencies. Notable positive sentiment topics for Bitcoin include “worth” and “new,” while negative sentiments revolve around “firm” and “bank,” and neutral sentiments are linked to “digital” and “year.” Ethereum exhibits positive sentiments like “good” and “defi,” negative sentiments such as “time” and “long,” and neutral sentiments around “price” and “ethic”. Binance's positive sentiments include “live” and “kind,” a negative sentiment related to “case,” and neutral sentiments encompassing “learn” and “check”. Moreover, the Davies Bouldin Index evaluation for the coin clusters yielded scores of 0.7996 for Bitcoin, 0.7820 for Ethereum, and 0.7149 for Binance. These indices, falling between 0 and 1, signify well-structured clustering.
Information Retrieval and Data Mining
E-commerce and Technology Innovations
Advanced Steganography and Watermarking Techniques
Blockchain technologies deliver an endless variety of applications that benefit from distributed economies. The proposed model is an Android application that has enhanced security features, which include both authentication and authorization. Authentication is incorporated by using a unique identification and authorization is done by using a fingerprint. Voters are also being verified by time password. The security in this project is implemented by using a 128-bit AES encryption algorithm and SHA-256 along with the blockchain. The vote is cast in the form of a transaction, where a blockchain is created, which keeps track of the tallies of votes. Through this, atomicity and integrity are maintained This blockchain-based voting system that satisfies the legal requirements of legislators has been a challenge for a long time. Distributed ledger technologies are an exciting technological advancement in the information technology world Blockchain technologies offer an infinite range of applications, benefiting from sharing economies. This project aims to evaluate the application of blockchain as a service to implement distributed electronic voting systems. The project elicits the requirements for building electronic voting systems and identifies the legal and technological limitations of using blockchain as a service for realizing such systems.
Bitcoin price prediction involves analyzing a variety of factors, including market sentiment, trading volume, economic news, technological developments, and other factors that affect supply and demand. Both technical and fundamental analysis methods can be used to try to predict Bitcoin price movements. In this Bitcoin price prediction using a Deep Learning approach with the chosen method is LSTM. The LSTM (Long Short-Term Memory) method is a popular type of Recurrent Neural Network (RNN) model for predicting the price of Bitcoin and other financial assets. LSTM can solve the problem of price movements that have long-term dependencies, which traditional RNN models cannot handle well. LSTMs have the ability to "remember" information from longer periods of time, thereby recognizing complex patterns and trends in historical data. In this study the prediction period used a dataset from March 1 2016 to November 24 2018. This study used an epoch parameter of 10 with a learning rate of 0.001. In addition, the batch size parameter used is 25 with layers only. The evaluation results of this study resulted in an RMSE of 77.74 and an MAE of 278.33. This shows that the RMSE value is small because the Bitcoin price range is too far.
Mochamad Heru Riza Chakim, Aliyah, M. Adhit Dwi Yuda, Rifqi Fahrudin · 5 authors
Voting is one of the methods used by humans to determine decisions in a case. Along with the development of technology, conventional voting also follows the transformation in the adaptation of the current digital era. There is an electronic version of this voting which is often called e-voting (electronic voting). Of course, the application of technology in voting will raise public opinion about concerns about maintaining network privacy and security in e-voting. Of course, security problems can be overcome with technology that is currently being utilized optimally in various fields of life, namely blockchain technology. In enhancing e-voting security, blockchain will be used in P2P networks. The application of the blockchain system in e-voting will produce a safe e-voting system so that it can reduce the percentage of forgery of votes in the e-voting system. Implementing a blockchain-based e-voting system will involve 3 elements, namely cryptography, software engineering theory, and voting theory. In realizing blockchain-based e-voting, several stages are needed. (1) vote counterfeiting is avoided by adjusting the voting recording model based on ledger technology, (2) in terms of authentication, this technology is equipped with elliptic curve cryptography (ECC) based user model design, (3) providing a model designed for voters to change their vote before the specified time limit. The integration of these three designs is an important requirement in the e-voting process, proving and verifying a blockchain-based e-voting system in a P2P network that has been designed on linux.
A web3 crowdfunding dapp is a decentralized application built on blockchain technology that allows individuals or groups to raise funds for a project or venture.Unlike traditional crowdfunding platforms, web3 crowdfunding dapps operate on a decentralized network, where transactions are verified and recorded through a consensus mechanism, ensuring transparency and security.Web3 crowdfunding dapps leverage the power of smart contracts, which are selfexecuting programs that enforce the rules and conditions of the crowdfunding campaign.Smart contracts eliminate the need for intermediaries, reducing costs and increasing efficiency.Participants in a web3 crowdfunding campaign can contribute to the project using cryptocurrencies or tokens, and receive rewards or tokens in return.These rewards can be customized based on the level of contribution, creating a more personalized and engaging experience for participants.Overall, web3 crowdfunding dapps offer a more democratic and accessible way for individuals and groups to raise funds, while also providing greater transparency, security, and efficiency.
Nur Syaedah Kamis, Norazlina Abd Wahab, Mohammad Azam Hussain
The positive acceptance of cryptocurrency by the public indicates their interest and enthusiasm for cryptocurrency. Nevertheless, theregulatory overlay related to cryptocurrency is still at its infancy level, posing challenges to its estate administration upon the death ofthe owner of a cryptocurrency, which will lead to its disappearance and loss as it becomes impossible to be inherited. Hence, in light ofthis undesirable possibility, this paper aims to analyze the legal and Shariah issues on the estate administration of cryptocurrency from the perspectives of Malaysian laws and Shariah. This paper examined doctrinal research by examining relevant legal provisions, Shariah rulings, fatwa, cases, and non-legal literature on estate administration. This paper concludes that there is a lacuna in the estate administration of cryptocurrency as its regulatory framework is still new and evolving. Therefore, the legal and Shariah issues highlighted in this paper may provide some important policy implications for regulators and policymakers to fulfil the lacuna in the estate administration of cryptocurrency in Malaysia.