Cryptographic-based digital currencies, such as bitcoin, function as a medium of exchange. Bitcoin is a digital currency that exists within the open source P2P payment system. P2P is a computer network model that consists of two or more computers, and each computer in that network has the ability to share with each other. Bitcoin is one of the most famous digital currencies. The benefits and drawbacks of using Bitcoin as a payment tool. This is because bitcoin has not met some criteria to be considered a currency, especially in terms of the principles of buying and selling transactions. While bitcoin does not have an underlying asset used as a basis for transactions. There are two conclusions that can be drawn in this regard. First and foremost, digital money is not a currency. Second, there is an element of ambiguity (Gharar). This research uses academic literature as the main source for information on the use of Bitcoin in online transactions. Other sources include scientific works, fiqh muamalah texts, journals, articles, online media, and more. This research is prescriptive, meaning that it assesses and establishes rules on whether using Bitcoin as a transaction tool in online sales is permissible. Material and pragmatic analysis derived from Islamic law is then applied. Research on normative Islamic law is an example of a study aimed at establishing clear rules on how to use Bitcoin currency. Research findings show that in the view of Islam, Bitcoin transactions as a payment tool do not meet the requirements of al-sharf because they violate Islamic rules stating that transactions must be conducted in cash, even if there are pending orders. This is based on verses in the Qur'an that declare Bitcoin as batil, gharar, and maysir.
This study aims to analyze and compare the performance of three major cryptocurrencies—Bitcoin, Ethereum, and Solana—during the 2021–2024 period, based on return, risk, and risk-adjusted performance indicators (Sharpe Ratio). The research applies a comparative quantitative method using secondary data from CoinMarketCap. The analysis includes descriptive statistics, annual return calculations, standard deviation, Value at Risk (VaR), Expected Shortfall (ES), and Sharpe Ratio. ANOVA was used to test differences in return, while Kruskal-Wallis and Mann-Whitney U tests were employed for risk and performance due to non-normal data distributions. The results show no significant differences in average return among the three assets. However, there are significant differences in risk levels, with Solana being the most volatile, followed by Ethereum and Bitcoin. In terms of Sharpe Ratio, no significant difference in performance was found. These findings indicate that while there are absolute differences in return and risk, the three assets provide a balanced level of return when adjusted for risk. Hence, diversification among these assets may serve as a relevant strategy for investors depending on their risk profiles.
Elvir Akhmetshin, E. Saranya, Badabagni Adilakshumma, Suryaprakash Nalluri
Academic credentials are becoming more vulnerable by fraud, falsification, and inefficiencies in existing verification processes. This research uses Python and Docker to create a safe, lightweight, and flexible blockchain-based academic credential verification prototype. The approach uses a hybrid blockchain with personal validation nodes for institutional activities and public nodes for external verification. Cryptographic key-based credential signature, SHA-256 data hashing, QR code embedding for credential search and Byzantine Fault Tolerance (BFT) consensus for multi-node validation constitute vital developments. The prototype’s block replication speeds of 0.02 seconds and low resource utilisation (about 200 KB of RAM per transaction) make it appropriate for resource-constrained academic situations. Degrees are issued through a signed PDF certificate with a blockchain-verifiable QR code. Users may verify records using a public query interface employing the hash alone. This architecture has lower latency, simpler implementation, better modularity and better data privacy than Blockcerts & Ethereum-based registries. This study further supports academic institutions, professional licensing, legal documents and supply chain certification with a realistic and scalable basis for safe digital credentials.
Tri Stiyo Famuji, Alya Masitha, Maulana Muhammad Jogo Samodro, Galih Pramuja Inngam Fanani · 5 authors
Perkembangan teknologi genomik meningkatkan urgensi penanganan kerentanan sistem terpusat dalam mengelola data genetik manusia. Penelitian ini merancang sistem terdesentralisasi berbasis blockchain dan IPFS untuk meningkatkan keamanan, integritas, dan aksesibilitas data. Blockchain digunakan untuk pencatatan transaksi yang immutable dan manajemen akses dinamis melalui smart contract, sedangkan IPFS menyediakan penyimpanan terdistribusi berbasis hash kriptografik (CID). Desain hybrid memisahkan penyimpanan data mentah (terenkripsi homomorfik) di IPFS dengan manajemen akses di blockchain Ethereum. Antarmuka pengguna berbasis React.js dan Web3.js memungkinkan pengunggahan data terenkripsi, permintaan akses berbasis peran, dan pemantauan audit sesuai standar GDPR/HIPAA. Pengujian membuktikan sistem ini efektif mencegah akses ilegal dan memastikan keterlacakan data. Tantangan seperti efisiensi energi dan kepatuhan regulasi diatasi melalui sharding, protokol layer-2, serta mekanisme penghapusan data selektif. Kerangka kerja ini mendukung kolaborasi riset genomik lintas institusi secara aman. Penelitian lanjutan akan difokuskan pada optimasi efisiensi komputasi dan perluasan skala data.
Bitcoin is one of the most prominent digital assets in the modern financial era due to its high volatility and huge profit potential. However, its extreme price volatility also makes it a high-risk asset, so a reliable forecasting approach is needed to help investors make more rational decisions. This study aims to forecast Bitcoin price using the Moving Average (MA) method, specifically MA3, by utilizing monthly historical data of Bitcoin price in USD currency obtained from investing.com website. The MA3 method was chosen for its ability to smooth out short-term fluctuations and identify the direction of price trends. The forecasting process is performed by calculating the average of the last three months' prices for each point in time and compared to the actual price to evaluate its accuracy. The evaluation is done using various prediction error metrics, namely Error, Absolute Error, Squared Error, and Percentage Error. The results of the analysis show that the MA method provides a fairly representative picture of price trends and can be used as an early indicator in short-term investment strategies. Thus, the Moving Average method proves to be a simple but effective prediction tool, especially for novice investors in the dynamic crypto asset market.
Shahnawaz Ahmad, Mohammed Wasid, Shahadat Hussain, Sana Shahab · 5 authors
The convergence of the Internet of Things (IoT) and blockchain technologies has revolutionised several industries by enabling secure, decentralised, and intelligent solutions for managing large-scale data and automated decision-making systems. IoT allows devices to interconnect and share data, but issues such as security, trust, and data integrity become more critical as the network grows. Blockchain with distributed ledger and no alterable data storage provides a very strong solution to these challenges by providing transparency an1d security. In addition, intelligent learning models such as artificial intelligence, machine learning, and deep learning techniques can enhance efficient data analysis, pattern recognition, and self-learning IoT networks. This chapter recognises the compatibility of IoT and blockchain, the advantages and issues of integrating, and how the intelligent learning models would employ it for enhanced usage. A discussion of the key challenges and limitations, research implications, and trends and developments in the blockchain-IoT integration area is also presented.
Sistem pemilihan konvensional masih menghadapi berbagai tantangan, seperti kurangnya transparansi, lambatnya proses penghitungan suara, dan birokrasi yang kompleks. Untuk menjawab permasalahan tersebut, penelitian ini mengembangkan sistem e-voting berbasis Blockchain dengan memanfaatkan platform ZenChain Testnet. Pemilihan ZenChain didasarkan pada kemampuannya menyediakan lingkungan uji coba yang ringan, mendukung smart contract, dan kompatibel dengan arsitektur DAO (Decentralized Autonomous Organizations). Metode yang digunakan adalah metode Prototype, yang diterapkan melalui tahapan desain awal sistem, implementasi fungsional, pengujian antarmuka, serta evaluasi berulang berdasarkan umpan balik. Tujuan dari penelitian ini adalah menciptakan sistem e-voting yang aman, efisien, dan transparan melalui pemanfaatan smart contract untuk mengotomatisasi proses validasi pemilih, pemungutan suara, dan perhitungan hasil. Hasil implementasi menunjukkan bahwa seluruh transaksi berhasil dicatat secara permanen di dalam Blockchain, sehingga mencegah potensi manipulasi data. Pengujian dilakukan menggunakan metode black box dengan 4 skenario uji fitur utama, seperti validasi pemilih, input suara, dan kalkulasi hasil. Semua skenario berhasil dijalankan tanpa error, dengan response time rata-rata di bawah 9 detik. Kesimpulannya, sistem e-voting berbasis Blockchain pada ZenChain Testnet terbukti mampu meningkatkan integritas dan efisiensi pemilu secara teknis. Namun, untuk implementasi skala besar, diperlukan strategi peningkatan infrastruktur, pengujian skalabilitas lebih lanjut, serta program literasi digital bagi masyarakat guna memastikan adopsi yang menyeluruh.
This research aims to spread the implementation of blockchain technology in the digital financial sector through a literature study approach. The main issue raised is how blockchain is applied in financial services and what challenges and benefits come with it. The method used was a literature review of 18 relevant scientific articles. The analysis results show that blockchain has been implemented in four main categories, namely cryptocurrency, cross-border payments, decentralized finance (DeFi), and smart contracts. This implementation provides significant benefits such as transparency, cost and time efficiencies, and increased security. However, blockchain implementation still faces serious challenges such as regulatory ambiguity, scalability issues, cybersecurity risks, and low adoption by traditional financial institutions. This research suggests the importance of strengthening regulations, technical innovation, and increasing technological literacy to encourage broader and more effective blockchain implementation in digital financial systems.
Marian Ileana, Angel Popgeorgiev, Pavel Petrov, Vassil Milev
This paper proposes a distributed educational system that integrates smart RFID technology, blockchain, and gamification to improve student engagement and performance monitoring. Students use RFID-enabled cards to gain access to interactive simulators and training kiosks designed for various academic disciplines. Each student's progress is recorded on a blockchain ledger, ensuring secure and transparent tracking of their achievements. This approach enables advanced data analysis, allowing teachers to access anonymized performance data and guide students in their learning process without directly affecting grading. By doing so, it reduces the incentives for academic dishonesty, as students are not under pressure to achieve specific grades. The system also allows for real-time attendance monitoring, adaptive learning paths based on individual progress, and predictive analysis of student performance over time. Furthermore, API-based communication ensures seamless integration between distributed kiosks and educational management systems. This decentralized model enhances transparency, security, and efficiency, providing real-time insights for both students and educators. By utilizing these technologies, the proposed system aims to optimize the learning and evaluation processes, supporting more personalized and data-driven educational experiences.
This study aims to analyze Bitcoin price volatility after halving by considering interactions with Ethereum, Tether, Binance Coin, and USD Coin. This research was conducted because Bitcoin halving is a significant event affecting the dynamics of the crypto market, but its impact on price volatility is not fully understood. This research uses the EGARCH (Exponential Generalized Autoregressive Conditional Heteroskedasticity) method with purposive sampling technique. Daily price data from Bitcoin, Ethereum, Tether, Binance Coin, and USD Coin in the period May 11, 2020 to May 31, 2024. The analysis results show that Bitcoin price volatility increased significantly after the halving event. In addition, there is an effect of Bitcoin price volatility after halving, namely on the price of Ethereum, Tether and Binance Coin. While the price of USD Coin cannot be proven because the daily closing price data is homoskedasticity.
Penelitian ini bertujuan untuk merancang dan membangun aplikasi pengelolaan sertifikat digital berbasis Non-Fungible Token (NFT) pada jaringan blockchain Solana. Aplikasi ini memungkinkan pengguna untuk membuat, memverifikasi, dan mentransfer sertifikat dalam bentuk NFT yang aman dan terdesentralisasi. Pengujian dilakukan dalam dua aspek utama: fungsional dan performa. Hasil pengujian fungsional menunjukkan tingkat keberhasilan 100%, yang mengindikasikan bahwa seluruh fitur utama aplikasi berjalan sesuai ekspektasi. Dari sisi performa, pembuatan NFT membutuhkan waktu rata-rata 29 detik dengan biaya 0.00008 SOL, verifikasi NFT berlangsung sangat cepat dalam 1.5 detik tanpa biaya, dan transfer NFT memakan waktu 19 detik dengan biaya yang sama seperti pembuatan. Hasil ini menunjukkan bahwa aplikasi mampu menjalankan fungsinya secara efisien dan ekonomis di atas jaringan Solana. Penelitian ini memberikan kontribusi dalam pemanfaatan teknologi blockchain untuk pengelolaan dokumen digital yang transparan dan aman.
Penelitian ini menganalisis implementasi kerja sama antara Western Australia Web3 (WAWEB3) dan Bali Blockchain Center (BBC) sebagai bagian dari pelaksanaan program Sister City Denpasar–Perth. Fokus penelitian ini adalah pada program-program yang mendukung pertukaran pengetahuan dan pengembangan teknologi digital melalui konferensi, promosi bersama, serta penguatan ekosistem Web3. Metode yang digunakan adalah kualitatif deskriptif dengan teknik pengumpulan data berupa wawancara dan dokumentasi. Hasil penelitian menunjukkan bahwa sejumlah program telah terealisasi, seperti Bali Blockchain Summit 2024 dan Black Swan Summit 2025, yang berhasil mendorong literasi digital serta kerja sama antar komunitas teknologi. Namun, masih terdapat poin kerja sama yang belum terlaksana secara optimal, khususnya dalam hal promosi kewirausahaan digital. Penelitian ini menyimpulkan bahwa kerja sama ini merupakan bentuk pelaksanaan konkret dari sister city yang berbasis inovasi dan teknologi digital.
Keamanan dan transparansi dalam sistem pemungutan suara merupakan tantangan utama dalam pemilihan elektronik atau e-voting. Penelitian ini bertujuan untuk mengimplementasikan smart contract blockchain Ethereum pada aplikasi evoting dengan tujuan meningkatkan keamanan, integritas, dan transparansi proses pemilihan. Metode penelitian yang digunakan mencakup perancangan dan implementasi smart contract, deployment pada jaringan Ethereum Sepolia, serta pengujian keamanan dan efisiensi biaya transaksi menggunakan alat seperti Remix IDE. Hasil penelitian menunjukkan bahwa penggunaan smart contract tercatat dengan transparan dan tidak bisa dimanipulasi. Namun, ada beberapa tantangan yang ditemukan seperti biaya transaksi atau gas fee yang cukup tinggi dan kompleksitas penggunaan aplikasi bagi pengguna yang belum familiar dengan teknologi blockchain. Pengujian keamanan mengidentifikasi beberapa isu yang perlu dioptimalkan, termasuk efisiensi penggunaan gas fee dan mengurangi potensi kerentanan dalam smart contract. Dengan demikian, penelitian ini dapat menjadi dasar untuk pengembangan lebih lanjut dalam penerapan sistem e-voting berbasis blockchain, khususnya untuk pemilihan skala besar seperti pemilu lokal atau nasional.
Suharyanto H. Soro, Anik Susanti, Nur Endah Sariningsih
Financing education is vital components in organization education quality , but implementation transparency reporting Still face various challenges in the era of decentralization Education . Research This aiming to study existence power education in create transparency reporting financing education at Informatics Vocational School Integrated Bandung. Using approach qualitative descriptive , data collected through observation , interview in-depth , and study documentation . Research results show power education play a role strategic through mechanism structural with implementation transparency realized through display information finance and ARKAS applications . Research This also reveals factor Supporter in the form of framework regulation , support leadership , and implementation technology information , while factor inhibitor covers delay disbursement of funds and limitations infrastructure technology . Research This confirm importance strengthening capacity power education and optimization technology information For increase transparency reporting financing in schools vocational that has complexity more tall in management finance Because need development skills vocational
Modern technological advancements such as 5G networks, smart devices, and the Internet of Things (IoT) have established a new digital landscape where dataflow security is a mandatory factor. In this context, blockchain technology stands out as a promising solution with the ability to provide a secure and invulnerable platform for systems. Blockchain is a distributed ledger, not only serving financial transactions but also securely and sustainably storing any type of data. Although blockchain originated from cryptocurrency (Bitcoin), its applicability has expanded into various fields such as data storage, product certification, healthcare, science, and education. In the field of education, blockchain is used to issue and store certificates, support degree management, assess learning outcomes, maintain academic records, and oversee training processes. This article analyzes the features and benefits of blockchain, presenting its current applications in education. At the same time, it discusses the benefits and challenges of implementing this technology in the field of education.
To address the limitations of traditional educational record management systems in terms of data security, trustworthiness, and consensus efficiency, this study designs a blockchain-based educational record management system and proposes an enhanced consensus algorithm, REL-PosBFT, which integrates a dynamic reputation model and a hierarchical architecture. The system adopts a multi-role collaboration mechanism, incorporating Verifiable Random Functions, Threshold Signatures, and dynamic reputation evaluation to achieve trustworthy data recording and adaptive access control. A simulation environment is built using NS-3 and Docker to evaluate the system’s performance in latency, throughput, and security. Experimental results show that REL-PosBFT delivers superior response speed and scalability in high-concurrency, multi-node scenarios, demonstrating greater stability and practicality compared to the original PoS-BFT and mainstream consensus algorithms.
This conference paper aims at understanding how blockchain technology can be utilized in financial auditing in relation to smart contract, consensus, and privacy-preserving technology. The paper focuses on how Deloitte and Santander Bank incorporate blockchain for auditing, especially filing compliance verification, data integrity, and privacy concerns, by employing a qualitative, multiple-case research study. Proof of consensus such as Proof of Authority (PoA) and the Practical Byzantine Fault Tolerance (PBFT) guarantee that the records of the blocks are unaltered since they involve a consensus on the validity of a particular transaction in a distributed fashion. Furthermore, solutions like Zero-Knowledge Proofs (ZKPs), and homomorphic encryption enable the auditors to confirm transaction legitimacy without compromising the customers' data privacy laws. Research evidence suggests that blockchain has the potential to improve efficiency, integrity, and security rate in financial audit but major issues that hinder its widespread application include high cost, lack of acceptance by authorities, and technical issues. The paper provides solid suggestions regarding the adoption of blockchain in auditing and provides suggestions for the future research to explore more about the efficiencies of the audit that can be obtained with the implementation of blockchain and the regulatory policies that could make blockchain more suitable for the various industries.
In recent years, the security and integrity of electronic voting systems have become a significant concern for both governments and the public. Traditional voting systems are susceptible to voter fraud, data manipulation, and election tampering. In order to tackle these challenges, we introduce a new voting system that combines blockchain technology and face-based authentication to establish a secure, transparent, and effective voting process. Blockchain provides a decentralized, tamper-proof ledger to cast votes, which guarantees data integrity and does not allow for tampering or unauthorized alterations of voting outcomes. Blockchain uses the decentralized aspect for maximized transparency, with the possibility of tracing and authenticating each vote securely and ensuring that the election outcomes are tamper-proof. Moreover, the system is scalable and user-friendly and can be adopted on large scales such as elections at the national and regional levels. Utilizing blockchain ensures that voting records are stored safely and cannot be tampered with once submitted, and thus voters and election authorities have faith in the results of the elections being accurate. The use of blockchain guarantees that the voting records are securely stored and cannot be altered after submission, providing voters and election authorities with confidence in the accuracy of the election outcomes. This integration of cutting-edge technologies - blockchain for security and transparency, and facial recognition with KNN for authentication- provides a robust solution to modern electoral challenges. The proposed system aims to build a more trustworthy and efficient voting process, ultimately enhancing voter confidence and participation in democratic processes worldwide
Bitcoin telah menunjukkan volatilitas harga yang tinggi. Hal ini membawa risiko besar bagi investor, tetapi juga memberikan peluang besar bagi investor. Salah satu metode yang menarik untuk prediksi harga Bitcoin yang memiliki volatilitas tinggi adalah algoritma LSTM, sebuah varian RNN yang dapat memproses data deret waktu serta mengingat informasi jangka panjang dan pendek secara efektif. Penelitian ini merupakan pembaruan dari penelitian-penelitian sebelumnya yang umumnya hanya menggunakan satu lapisan LSTM. Dalam penelitian ini, dilakukan perbandingan antara dua skenario model LSTM untuk melihat sejauh mana arsitektur dan konfigurasi model mempengaruhi performa prediksi harga Bitcoin. Berdasarkan hasil penelitian yang sudah dilakukan pada Skenario 1 dengan menggunakan algoritma LSTM Double Layer 128, 64 neuron, 100 epoch, 32 batch size, data latih 80%, data uji 20%, dan optimasi adam, lebih baik dibandingkan Skenario 2 yang menggunakan algoritma LSTM Single Layer 50 neuron, 100 epoch, 32 batch size, data latih 80%, data uji 20%, dan optimasi adam. Skenario 1 menunjukkan tingkat akurasi yang cukup baik dalam memprediksi harga Bitcoin. Performa model algoritma Skenario 1 dievaluasi menggunakan metrik MSE dengan nilai 0.00044, RMSE dengan nilai 0.02119, MAE dengan nilai 0.01586, MAPE dengan nilai 2.51% dan R2 dengan nilai 0.98. Hubungan antara prediksi harga dan evaluasi kinerja ini penting, karena prediksi harga yang akurat menjadi dasar untuk menghitung potensi keuntungan dan risiko dari investasi Bitcoin. Dari hasil prediksi harga Bitcoin yang dihasilkan dari model Skenario 1, kemudian digunakan untuk mengevaluasi kinerja aset Bitcoin selama periode 2018–2024. Rata-rata Return pertahun Bitcoin sebesar 83.07%. Volatilitas sebesar 82.837. Sharpe Ratio sebesar 1.003 menunjukkan bahwa return yang diperoleh relatif sebanding dengan risiko yang diambil, yang dianggap cukup baik dalam konteks investasi berisiko tinggi.
Hendri Dewarto Silitonga, Ratna Artha Windari, Si Ngurah Ardhya
Penelitian ini bertujuan untuk (1) menganalisis dan memahami pengaturan hukum mengenai transaksi aset digital cryptocurrency di indonesia dalam Undang- Undang Informasi dan Transaksi Elektronik sebagai acuan dalam memberikan kepastian hukum terhadap penggunaan aset digital cryptocurrency di Indonesia, (2) mengidentifikasi keabsahan smart contract pada platform Ethereum berdasarkan sistem hukum kontrak di Indonesia berdasarkan perspektif syarat sahnya perjanjian yang dimuat di dalam pasal 1320 KUH Perdata. Jenis penelitian yang digunakan dalam penelitian ini adalah yuridis normatif , yakni melalui pendekatan perundang-undangan (statute approach) dan pendekatan perbandingan (comparative approach) . Sumber bahan hukum yang digunakan yaitu KUH Perdata, UU ITE, Bappebti, PP, dan artikel ilmiah yang relevan. Hasil penelitian menunjukkan bahwa (1) Undang-Undang Informasi dan Transaksi Elektronik tidak mencamtumkan secara eksplisit mengenai transaksi aset digital, istilah dokumen elektronik dan informasi elektronik, menkategorikan aset digital yang menjadikan aset digital memiliki kedudukan yang sah dan diakui secara hukum. (2) Keabsahan smart contract pada platform Ethereum jelas tidak memenuhi syarat subjektif dalam 1320 KUH Perdata yang membuat smart contract batal atau tidak sah sebagai suatu perjanjian yang mengikat para pihak.
Niha Kamal Basha, T. Janani, Vanja Sasi Kumar, Mahendra Kumar Shrivas
The prison system in India lags other industries, such as healthcare, in terms of automation. The existing prison management system often lacks transparency, consistency in security information, and well-defined procedures. To address this issue, we developed a system to digitize daily prison operations. The proposed blockchain-based prison management system is a comprehensive software application designed to manage activities related to prisons using a distributed ledger for efficient storage and managing information related to lawbreakers. The prison authority can have access to add, delete, or update the lawbreaker data that is collected from the police. The suggested system defines various roles for accessing the data inside the prison. Proper and timely access to data is enabled for the prison authorities. The proposed system has been implemented using the Ethereum Sepolia test net with 1000 tractions and its total transaction cost is 0.015357. Additionally, gas price, throughput, and latency has been computed for the proposed work. This system has been designed to provide secure, efficient, and user-friendly management of inmate records, scheduling, and communication. This system enables tamper-proofness, accountability and security of data by incorporating blockchain technology for secure and immutable record transaction within prison which prevents fraud, and corruption.
Penelitian ini mengeksplorasi implementasi teknologi blockchain melalui Non-Fungible Token (NFT) dalam sistem e-ticketing pada industri hiburan, khususnya untuk acara stand-up komedi. Dengan pendekatan riset pasar dan uji konsep, penelitian ini bertujuan mengidentifikasi manfaat, tantangan, dan peluang dari penerapan NFT untuk meningkatkan daya saing bisnis. Hasil penelitian menunjukkan bahwa NFT dapat memberikan solusi inovatif dalam menjamin keamanan, keaslian, dan fleksibilitas tiket digital. Selain itu, NFT menawarkan nilai tambah berupa akses eksklusif, sistem royalti untuk kreator, serta peluang investasi dalam aset digital.Meskipun adopsi NFT dalam ticketing masih tergolong baru, fitur seperti mixed reality dan akses premium mampu menarik minat audiens modern yang mengutamakan pengalaman digital. Analisis terhadap kompetitor mengungkapkan potensi besar dalam mengintegrasikan NFT ke dalam sistem e-ticketing, walaupun tantangan berupa rendahnya pemahaman masyarakat terhadap teknologi blockchain masih menjadi hambatan utama. Proyek "NFT ComedyChain" yang diusulkan dalam penelitian ini dirancang untuk mengintegrasikan teknologi NFT dengan industri hiburan di Indonesia, membuka peluang bisnis baru bagi kolektor seni digital dan pelaku industri kreatif.Penelitian juga ini merekomendasikan adanya edukasi luas dan kolaborasi lintas sektor untuk memaksimalkan adopsi NFT, sekaligus menciptakan ekosistem hiburan yang aman, modern, dan inklusif. Dengan memastikan keaslian tiket melalui teknologi blockchain, NFT ticketing tidak hanya mengurangi risiko pemalsuan tetapi juga memperkenalkan model bisnis berkelanjutan yang menguntungkan semua pihak terkait. Implementasi NFT pada e-ticketing diharapkan menjadi gagasan baru dalam transformasi digital industri hiburan, terutama di Indonesia, sehingga mampu menciptakan nilai kompetitif yang lebih tinggi bagi para pelaku usaha.
Blockchain technology, originally introduced through Bitcoin cryptocurrency in 2008, has rapidly expanded beyond its financial roots, offering innovative solutions for secure data management across various sectors, including education. Higher education institutions, faced with challenges in managing academic records, verifying degrees, assessing skills, and safeguarding personal data, have increasingly looked to blockchain for answers. Blockchain’s transparent, immutable, and decentralized nature provides potential solutions to these longstanding problems. This systematic review assesses blockchain-based proposals for academic certificates management, aiming to highlight globally recognized best practices, explore the latest applications, and identify key challenges hindering the widespread adoption of blockchain technology in education. A thorough discussion based on the findings introduces potential solutions to mitigate these challenges and provides insights into possible future research directions that could help overcome these obstacles.
Muhammad Rio Kristiawan, Emma Lilianti, Andri Eko Putra
ABSTRACT This study aims to examine the effect of cryptocurrency prices, total cryptocurrencies, number of cryptocurrency transactions on cryptocurrency asset investment decisions. This study is a quantitative study that has the aim of testing data and presenting answers to various problem formulations regarding the effect of cryptocurrency prices, total cryptocurrencies, the number of cryptocurrency transactions on cryptocurrency asset investment decisions. The sample used in this research is 56 time-series data with a period of one last year, obtained by purposive sampling method. The data used is secondary data obtained through the website https://www.coinmarketcap.com and the data is processed using a software called E-views with data analysis techniques using the Ordinary Least Squarer (OLS) and Error Correction Model (ECM) procedures. The results of this study show that the cryptocurrency price variable, total cryptocurrency, the number of cryptocurrency transactions are significantly positive on cryptocurrency asset investment decisions. Keywords: Aset cryptocurrency, Ethereum, Cryptocurrency. ABSTRAK Penelitian ini bertujuan untuk menguji pengaruh harga cryptocurrency, total cryptocurrency, dan jumlah transaksi cryptocurrency terhadap keputusan investasi pada aset crypto. Penelitian ini merupakan studi kuantitatif yang bertujuan untuk menguji data dan memberikan jawaban atas berbagai pertanyaan mengenai dampak harga cryptocurrency, total cryptocurrency, dan jumlah transaksi cryptocurrency terhadap keputusan investasi pada aset crypto. Sampel yang digunakan dalam penelitian ini terdiri dari data, 56 data time series selama satu tahun yang diperoleh dengan metode sampling bertarget. Data yang digunakan adalah data sekunder yang diperoleh dari website https://www.coinmarketcap.com, data dianalisis menggunakan software bernama E-Views dan Ordinary Least Squares (OLS) Teknik analisis data menggunakan metode dan model koreksi kesalahan (ECM) digunakan telah diproses. Hasil penelitian ini menunjukkan bahwa variabel harga cryptocurrency, total cryptocurrency, dan jumlah transaksi cryptocurrency berpengaruh positif signifikan terhadap keputusan investasi pada aset cryptocurrency. Kata kunci: Cryptocurrency Aset, Ethereum, Cryptocurrency.