Follow blockchain research across journals, conferences, and preprint repositories.
1,002 results · page 21 of 42
Sweetline Priya E, R Priya, R Surendiran
No abstract is available for this record.
Dendi Arya Raditya Prawira Putra, Yudha Purwanto, Marisa W. Paryasto
The existence of the Covid-19 virus, which was first announced at the end of 2019, in a short time was able to cause a pandemic. To overcome this, the government implemented a protocol that integrates Covid-19 test results and vaccination certificates into an application, with the aim that individuals can prove that they are free from Covid-19 infection and can return to normal activities. However, a centralized system is prone to single point of failure and data manipulation from the intervention of certain parties due to a lack of transparency. This paper proposed the use of Ethereum blockchain and smart contracts to solve this problem. By Using blockchain technology and smart contracts, the data management process will be more transparent since every transaction on the blockchain is recorded by each node. Blockchain also prevents a single point of failure because there are more than one data providers. The system that has been developed has fulfilled the security and privacy aspects of patient data by implementing password-based encryption on patient data. However, the system’s response time is strongly influenced by the computational capabilities of the Rinkeby network. On average, the system took 47,9 seconds to register a new certificate.
Indriyanti Indriyanti, Nurul Ichsan, Haerul Fatah, Tri Wahyuni · 5 authors
Bitcoin merupakan salah satu aset kripto yang biasa digunakan untuk bertransaksi secara virtual dan merupakan tiga teratas dari cryptocurrency yang paling banyak diperdagangkan. Harga bitcoin dapat berubah setiap waktu, untuk itu diperlukan suatu prediksi harga bitcoin dimasa mendatang. Penelitian ini bertujuan untuk menerapkan aplikasi orange data mining dalam memprediski harga bitcoin dengan metode K-Nearest Neighbor (K-NN) dan Support Vector Machine (SVM). Prediksi kinerja dari kedua metode yang digunakan dapat dilihat dari hasil Root Mean Square Error (RMSE) dan Mean Absolute Error (MAE). Data bitcoin yang telah dikumpulkan akan dianalisa menggunakan aplikasi orange data mining, proses pengujian menerapkan K-Fold Cross Validation (K=5), sedangkan proses perbandingan metode menggunakan Test and Score. Hasil perbandingan kedua model menunjukkan bahwa SVM karena memiliki nilai RMSE dan MAE paling kecil yaitu 0.010 dan 0.008, maka dari itu untuk prediksi harga bitcoin di masa mendatang model Support Vector Machine (SVM) dapat dijadikan rekomendasi terbaik dibandingkan model K-NN.
Eric S Parilla, Marc Edward Abadilla
The study aims to determine the effect of awareness of business students towards cryptocurrencies and readiness of universities and colleges to accept cryptocurrencies as a medium of exchange considering the mediation of business students’ attitude. The research used partial least squares structural equation modeling (PLS-SEM) and deployed a questionnaire attuned to the awareness and attitudes of business students towards cryptocurrencies and readiness and compatibility of use to universities and colleges in Ilocos Norte. The output of the investigation revealed that awareness of business students are not correlated to readiness of universities and colleges which means that even though students understand cryptocurrencies, it is not an assurance that universities and colleges are ready to accept it as medium of exchange. The study proposes that trainings and seminars for business students and professionals should be conducted to expand understanding and acceptance of cryptocurrencies.
V. Kavitha, G S Sruthi, B Thoshinny, S R Riduvarshini
Communication plays a vital role in human life. But in the case of sharing confidential information, there are many issues of concern, such as the lack of confidentiality, authenticity and integrity. Steganography is one of the methods used for conventional covert communication, but it sends the information via an insecure channel. Even though the hackers entering into the channel cannot decrypt the original data, information such as recipient details and communication time are exposed and the communication can be disrupted or hijacked. To address this problem, "Stag-chain," a blockchain-based design that combines an effective steganographic technique with the Advance Encryption Standard (AES) algorithm and the InterPlanetary File System (IPFS) Protocol (decentralized cloud storage), is introduced. Furthermore, the image file will be available on the cloud for retrieval only for a limited period after which it will be replaced by a normal image. Since the data is sent as a transaction in Ethereum, it is almost impossible to manipulate or retrieve that data, hence ensuring data integrity and data security. The aim of the said scheme is to develop an app that will ensure data confidentiality, establish a secure channel to transmit data, enhance data security and protect the data from unauthorized access or manipulation.
Mohamad Indra Nata Wijaya icebgc, Tengku Ezni Balqiah icebgc
Introduced in 2008, blockchain technology has experienced rapid development, in its development many digital assets have been created in the form of cryptocurrencies (cryptocurrency). For some people, crypto assets are the most modern solution and alternative for carrying out transactions on the blockchain. This study aims to determine how Behavioral Intention in Conducting Cryptocurrency Transactions. The model used is Structural Equation Modeling (SEM) with 228 data respondents spread throughout Indonesia. The results of this study indicate that the Facilitating Condition, Perceived Risk and Trust variables have a significant direct influence on the Behavioral Intention in Conducting Cryptocurrency Transaction variables while the Effort Expectancy, Hedonic Motivation, Performance Expectancy, Price Value, and Social Influence does not have a significant direct effect on the Behavioral Intention in Conducting Cryptocurrency Transaction variables and for the Performance Expectancy and Price Value variables it is not able to provide a stimulus to Effort Expectancy, Hedonic Motivation, Performance Expectancy, and Perceived Risk on the Behavioral Intention in Conducting Cryptocurrency Transaction variables. Keywords: Crypto Assets; Intentions; Investments; Platform X; Transactions
Komang Ayu Sekhar Sari Rambi icebgc, Ali Zainal Abidin icebgc
The emergence of cryptocurrencies or milled currencies is evidence of the rapid technology in the field of the economy. The number of users of this digital currency has impacted the Indonesian economy. This study examines the pandemic's impact on the bitcoin cryptocurrency's impact on the Indonesian economy. This research uses a skinned approach with (literature study), which analyses literature studies by collecting several journals related to research objectives. The discussion results show the impact of cryptocurrencies during the pandemic on the Indonesian economy. Bitcoin currency concluded that the price and interest increased during the cryptocurrency pandemic. The impact factor of Cryptocurrency affects the Indonesian economy; hence bitcoin in Indonesia will get affected if big countries' value drops. Keywords: Cryptocurrencies; Bitcoin; Pandemic
Shankar S. Iyer
The purpose of this paper is to portray an integrated Education Model which proposes to be student-centric and using technologies like Blockchain technology which can offer security, authenticity, immutability, longevity, data, information, decentralization, no intermediator, reliability, and data integrity. Education Blockchain 4.0 is a part of the Industrial revolution 4.0 which is disrupting the education sector. Blockchain technology is in focus in the last decade amongst users, researchers and practitioners. Despite the growing interest in Blockchain technology, the education sector has not seen much progress in terms of applications. This system uses the research of blockchain-based educational applications. The world is accelerating with IoT and AI. Industry revolution 4.0 is becoming a mandatory standard and necessity in globalization and a logical outcome is Education Blockchain 4.0. It is the need in the educational system due to the disruption initiated by technologies. Quantitative Methodology will be used to prove the conceptual model that proves the relationship between various constructs using PLS-SEM, which statistically can prove these relationships. Smart Blockchain System in education will make everything digital, easily storable, immutable, secured, longevity, easy access, cost-effective, User friendly and integrable to other technologies. The proposed Education Blockchain 4.0 smart system is poised to achieve these objectives across domains and to integrate further technologies making it the most suitable choice for these applications, which is the major contribution of this study. Also, the integration of the system theory of the new student centric education ecosystem, the disruption theory for Blockchain technology in education and the stakeholder theory applied to the education. Education Blockchain 4.0 will be useful for educational organizations to be cost-effective, achieve volumes of scale by integrating various functionalities, sectors. It will be useful for making policy decisions to enhance revenue, profitability and deliver stakeholder satisfaction.
Calvin Vernando, Hendry Hitojo, Randy Steven, Meyliana Meyliana · 5 authors
The new web 3.0 or Web3 is a distributed web technology mainly operated by decentralized blockchain and Artificial Intelligence. The Web 3.0 technologies bring the changes in industry 4.0 especially the business sector. The contribution of this paper to discuss the new web 3.0 (not semantic web) and to explore the essential factors of the new Web 3.0 technologies in business or industry based on 7 layers of decentralized web. The Layers have users, interface, application, execution, settlement, data, and social as main components. The concept 7 layers of decentralized web was introduced by Polynya. This research was carried out using SLR (Systematic Literature Review) methodology to identify certain factors by analyzing high quality papers in the Scopus database. We found 21 essential factors that are Distributed, Real-time, Community, Culture, Productivity, Efficiency, Decentralized, Trust, Security, Performance, Reliability, Scalability, Transparency, Authenticity, Cost Effective, Communication, Telecommunication, Social Network, Use Case, and Business Simulation. We also present opportunities and challenges of the 21 factors in business and Industry.
Safriadi M Yunus Aks, Mila Karmila, Bryan Givan, Gempa Hendratna · 12 authors
Metaverse is a world that is being developed now with the metaverse, the virtual world will develop rapidly because it creates a separate world, the metaverse relationship with the blockchain is created because there is a distribution of data with the blockchain method, the distribution of data will be better because the data will be sent securely using the data privacy process. The method used in this research is to use the literature review method and literature study, with the previous literature, it can be ascertained that this research is the latest research, because it has novelty based on previous research, therefore this research will be strong because it can find problems previous research that has been done. The intent and purpose of this research is how the metaverse is linked to the blockchain method, by paying attention to data security in privacy, with this concept, the distribution of data will be safer because it uses the blockchain method. In this research, how to come up with a system and try several aspects that exist in metaforce and blocking to produce a measurable impact.
Ikaputera Waspada, Dwi Fitrizal Salim, Astrie Krisnawati
Cryptocurrencies are now the most popular investment instruments among millenials. Crypto offers great returns in a short period of time. Prior to COVID-19, Crypto experienced significant price fluctuations accompanied by an increase in the number of high transaction volumes. This situation was disrupted by the presence of the COVID-19 which made the world economy devastated, marked by the decline of stock prices in the world, especially in Indonesia. A paired test was conducted in this study to compare the state of Crypto before and during COVID-19 with the variables of Risk, Transaction Volume, Return, and Sharpe Performance. The results showed that there was a significant difference in the variables of Transaction Volume and Return. However, there was no significant difference in the Risk and Sharpe performance before and during COVID-19. This study shows that despite the COVID-19 pandemic, the enthusiasm of investors who transact crypto assets is not affected and they still get returns in accordance with the investments made. The high risk will be followed by a high standard deviation, so that the Sharpe Performance is small. Cryptocurrencies still have many gaps to research, such as regulation, so that many countries have not legalized Crypto transactions. If there is no regulation for Crypto, it is certain that an increase in cybercrime harms crypto investors and threatens global financial stability. Nevertheles, with or without COVID-19, investment transactions gain and lose based on confidence in the limited market. Therefore, the success of confidence fluctuations in crypto encourages the emergence of alternative coins created by investors to conduct an Initial Coin Offering (ICO).
Dendi Agung Muhaziz, Ika Nur Fajri
Saat ini telah menjadi trend coin cryptocurrency sebagai aset mata uang digital yang semakin meningkat sehingga membuat semua orang berlomba dalam melakukan mining atau menambang coin cryptocurrency seperti bitcoin dan etherum. Untuk mendapatkan keuntungan dari cryptocurrency ada beberapa cara yaitu dengan mining serta trading. Aktivitas mining dan trading cryptocurrency mulai banyak dikenal dimana pada saat melakukan aktivitas mining atau menambang para miner akan melakukan proses menambang cryptocurrency menggunakan perangkat komputer. Sedangkan pelaku trading atau sering disebut dengan trader akan melakukan aktivias jual beli coin cryptocurrency melalui exchanger dengan menganalisa pegerakan harga pada market yang begitu cepat.BOT merupakan kependekan dari robot, sebuah robot yang salah satu fungsinya untuk memudahkan tugas manusia. [1] Dengan adanya BOT ini mempermudah kita dalam melakukan trading cryptocurrency secara otomatis dan dapat di monitoring melalui Telegram BOT yang akan mengirim notifikasi ketika berhasil melakukan aktivitas transaksi penjualan serta pembelian pada website exchanges cyrptocurrency dengan menganalisa pegerakan harga coin cryptocurrency menggunakan metode peramalan Exponential Moving Average. Pemanfaatan metode Exponential Moving Average dapat memperoleh hasil perhitungan peramalan harga cryptocurrency sebesar 5819329 untuk 4 Day EMA dan 5821928 untuk 8 Day EMA dengan nilai Mean Absolute Error untuk 4 Day EMA sebesar 7774 dan untuk 8 Day EMA sebesar 3521 dan nilai Mean Squared Error untuk 4 Day EMA sebesar 89322503 dan untuk 8 Day EMA sebesar 18740267. Kata kunci: Bot, coin cryptocurrency, Exponential Moving Average, Telegram
Sakaldeo Kumar Yadav, Sanjeev Kumar
In the security aspect blockchain play a vital role, it can solve many problems for people and also provide a new way of trade. Blockchain is all about trust in determining and deciding who you want to trust. People like to exchange things of value. We see this in transactions all over the place in real life so people perhaps trade one item of value for another or maybe they are going to use some type of currency to pay for something. So they render currency and they get something back for their product or service thus this value exchange relies on trust, so to solve trust issues people have to pay somebody in the middle and that is where blockchain fits an interest. Blockchain can remove the middleman and also provide a trustful environment. In the blockchain, there is a concept ” smart contract” of Ethereum which is written generally in solidity language using which we can solve the trust-related issue. On Kickstarter online fund is raised to complete any project. The person who donates money to complete that project becomes a contributor. After donating money contributors don't have control over donated money because of which scam happens. In this paper, we shall propose a solution where the product maker has to take permission to spend donated money. The product maker has to give all the details where he wants to spend money so that contributors can decide whether they want to give permission to spend money or not if the majority of contributors are not satisfied with the given details then they vote against the request because of which money can not be spent.
Usman Abidemi Sarumi, Zubaida Said Ameen, Fadi Al‐Turjman, Chadi Altrjman · 5 authors
Student Attendance is part of the academic curriculum, student needs to attend classes for lectures which is part of the major reason for coming to school for study. Keeping the attendance record safely, transparent, immutable and easily accessible is very essential. This study aims at designing a Wi-Fi attendance system that can allow a student to mark attendance with their phone or laptop, the record will be saved on distributed and decentralized blockchain. This attendance system is implemented in such a way that students will mark their attendance by inputting their unique student number on a webpage after they have initiated a connection with the Wi-Fi microcontroller module installed in the classroom, This record is been logged and arranged on a server database with time in and time out, the student name, student number, date, course ID and it can be generated for every registered student. The generated attendance can be uploaded to a node in a blockchain via the internet. The generated attendance record can easily be accessed with data reliability, and transparency with the aid of peer-to-peer features of distributed ledger to be available to other parties such as a parent, student or anyone on the network.
Babatomiwa Omonayajo, Auwalu Saleh Mubarak, Fadi Al‐Turjman, Zubaida Said Ameen
Ethereum is the most well-known and largest accessible, decentralized, and block chain technology system software, originally introduced in 2015. Unlike Bitcoin, which only permits for monetary exchange, Ethereum enables for the use of Smart Contracts, which are written in the Solidity programming language and executed on the Ethereum blockchain network. When these smart contracts are used to perform a task on the Ethereum blockchain network, the network imposes a transaction price known as gas fees. The prediction of gas prices was conducted in this study using the Facebook prophet model in python programming language with the aim to narrow the gap between the current unexpected gas fee price and the ability of predicting the future gas fee, based on past gas prices and current dataset gathered daily for eight (8) years between 2015 and 2022. The results of this study show a 365-day forecast of the price of ether using three assessment criteria, with results that are near to zero and a fit model.
Universitas Kristen Indonesia Paulus, Trinita Imelda Bandaso, Fransiskus Randa, Universitas Atma Jaya Makassar · 6 authors
Penelitian ini bertujuan untuk mendeskripsikan perkembangan dan sistem dari blockchain, mengidentifikasi potensi pemanfaatan, menganalisis faktor internal dan eksternal, serta mengidentifikasi bagaimana akuntan menghadapi disrupsi blockchain. Metode yang digunakan adalah kualitatif deskriptif. Data diperoleh melalui wawancara dan studi literatur. Penelitian ini menunjukkan bahwa teknologi blockchain memiliki potensi implementasi pada bidang akuntansi, audit, keuangan, supply chain, dan public sector. Para praktisi dan akademisi perlu memperhatikan kurikulum serta framework terkait implementasi blockchain, membentuk one set skill, dan peran akuntan saat ini adalah sebagai penasihat bisnis atau konsultan dan bukan sebagai counter
Meuthia Rachmaniah, Putri Ardi, Mokhamad Inggit Prakasa
Teknologi blockchain telah digunakan secara luas dan menarik perhatian para peneliti termasuk peneliti tanaman hortikutur. Cabai merupakan salah satu tanaman hortikultura yang banyak dibudidayakan di Indonesia dan merupakan salah satu komoditas yang memiliki harga yang sangat fluktuatif. Fluktuasi harga cabai menuntut adanya transparansi harga cabai di setiap rantai distribusi cabai. Studi ini bertujuan untuk mengembangkan sistem pencatatan transaksi distribusi cabai dalam upaya mencatat semua transaksi produksi dan harga cabai di setiap rantai distribusi cabai. Sistem ini berbasis web dan dikembangkan dengan menggunakan teknologi blockchain untuk menyimpan setiap transaksi distribusi cabai. Pengembangan sistem menggunakan metode extreme programming yang dilakukan dalam dua iterasi. Pada studi ini, smart contract Ethereum menggunakan kerangka kerja Truffle untuk sistem back end dan web3js untuk antarmuka sistem. Sistem pencatatan transaksi distribusi cabai telah berhasil dikembangkan dan memungkinkan pengguna untuk melihat harga dan pasokan cabai secara transparan di setiap rantai distribusi cabai. Uji keberterimaan dan fungsionalitas sistem telah sukses dilakukan untuk para aktor distribusi cabai, yaitu admin, produsen, pedagang pengepul, grosir, pedagang pengecer, serta konsumen. Smart contract yang dihasilkan dirilis pada jaringan uji Ethereum serta jaringan uji Rinkeby sebagai pengganti jaringan utama Ethereum. Sistem pencatatan cabai masih dapat dikembangkan lebih lanjut untuk melengkapi berbagai fitur yang telah dibuat. Rekomendasi untuk studi lebih lanjut dapat dilakukan untuk pengembangan fitur tambahan seperti foto produksi cabai dan foto profil aktor distribusi cabai serta user experience para aktor rantai distribusi cabai.
Mohd. Heikal, Maulana Majied Sumatrani Saragih, Rico Nur Ilham, Muammar Khaddafi · 5 authors
This study aims to determine the effect ofWorld Oil Priceseffect on Return Cryptocurrency. The researcher uses a descriptive quantitative approach. Replication research is the repetition of the basic experiment. The analytical method used is multiple linear regression model. As for the results of this study, the variable World Oil Price (X) can explain the Return Cryptocurrency variable (Y) of 27.9%.variableWorld Oil Prices(X) significant effectagainst the Return Cryptocurrency variable (Y). Oil price fluctuations on the world market have an effect on Cryptocurrency Return. In this study, it is found that fluctuations in oil prices in the world market have a positive impact on Cryptocurrency Return. That is, the increase in oil prices encourages the rise of Cryptocurrencies. Researchers suggest to pay more attention to world oil prices first before other commodities, because the impact of world oil prices is very large on commodity prices worldwide. So, for example, a decline in world oil prices can affect Cryptocurrency Return.
Dikko Hafiz Sulistio, Mohamad Subur Drajat
Abstract. The business market in Indonesia, especially those engaged in painting, utilizes e-commerce as a communication activity in the current PPKM era. Various painting products are marketed online and packaged as attractively as possible to attract consumer interest. The level of intense competition and the Covid pandemic requires painting traders to create easy communication activities online. Experiences, motives, communication methods, and the meaning of using NFT in Pak Iin's painting shop are research questions that will be investigated. This research uses qualitative research methods. Thus, researchers try to discuss accurately in the various phenomena that exist. Observation and in-depth interviews were used as data collection techniques. In-depth interviews were conducted with informants from Pak Iin's painting shop on Jalan Braga who have used the NFT application to sell their paintings. Data reduction, presentation and verification are used as data analysis techniques - research data. The phenomenon that occurs as a painter in Pak Iin's painting shop is the only phenomenon studied by the researcher. Analyzed by using the theory of phenomenology according to Alfred Schutz as a hope to find data, evidence and information on phenomena more fully. Based on the results of the research that has been formulated on the findings of experience research, motives, ways of communication, and the right meaning in the sale of paintings by painters on Jalan Braga from the use of the NFT application, namely: 1) Experience is based on a work ethic on values such as Pak Iin received direct assistance from Ridwan Kamil, Pak Iin in using the NFT application, Pak Iin's painting sales sold at a high price, and Pak Iin was patient in marketing his painting products online with direct assistance from Ridwan Kamil. 2) The motive is divided into two parts, namely the primary motive and the secondary motif. The motives of work relations and the search for connections carried out by Ridwan Kamil and Pak Iin are included in the types of primary motives and biogenetic motives for the use of scientific disciplines, maximizing self-potential, and interest in NFT applications including secondary motives with sociogenetic motives. 3) The way of communication is done face-to-face or indirectly between Pak Iin and Ridwan Kamil in interacting with each other by sending or receiving messages indirectly with the internet media. 4) The meaning obtained is the concept of being patient at work and self-benefit for the environment around Pak Iin's painting shop.
 Abstrak. Pasar bisnis di Indonesia khususnya yang bergerak di bidang lukisan, memanfaatkan e – commerce sebagai aktivitas komunikasi di masa PPKM saat ini. Berbagai produk lukisan dipasarkan secara online dan dikemas semenarik mungkin untuk menarik daya tarik minat konsumen. Tingkat persaingan yang ketat dan adanya pandemim Covid menuntut para pedagang lukisan harus menciptakan aktitivtas komunikasi yang memudahkan secara online. Pengalaman, motif, cara komunikasi, dan makna pemanfataan NFT di toko lukisan Pak Iin menjadi pertanyaan – pertanmyaan penelitian yang akan diteliti. Penelitian ini mneggunakan metode penelitian kualitatif. Dengan demikian, peneliti berusaha membahas secara akurat dalam berbagai fenomena – fenomena yang ada. Observasi dan wawancara mendalam digunakan sebagai teknik pengumpulan data. Wawancara mendalam dilakukan kepada informan dari toko lukisan Pak Iin di jalan Braga yang telah menggunakan aplikasi NFT sebagai penjualan lukisannya. Reduksi, penyajian dan verifikasi data digunakan sebagai teknik analisis data – data penelitian. Fenomena yang terjadi sebagai seniman pelukis di toko lukisan Pak Iin adalah fenomena satu – satunya peneliti yang diteliti. Dianalisis dengan menggunakan teori fenomenologi menurut Alfred Schutz sebagai harapan dapat menemukan data, bukti serta informasi fenomena secara lebih lengkap. Berdasarkan hasil penelitian yang telah dirumuskan pada hasil temuan penelitian pengalaman, motif, cara komunikasi, dan makna yang tepat pada penjualan lukisan yang dilakukan seniman pelukis di jalan Braga dari penggunaan aplikasi NFT yakni: 1) Pengalaman didasari oleh adanya etos kerja pada nilai – nilai seperti Pak Iin mendapatkan bantuan langsung dari Ridwan Kamil, Pak Iin pada pemanfaatan aplikasi NFT, penjualan lukisan yang dilakukan Pak Iin laku dengan harga drastis, dan Pak Iin sabar dalam memasarkan produk lukisannya secara online dengan adanya bantuan dari Ridwan Kamil langsung. 2) Motif dibagi menjadi dua bagian yaitu motif primer dan motif sekunder. Motif relasi kerja serta pencarian koneksi yang dilakukan Ridwan Kamil beserta Pak Iin termasuk kedalam jenis motif primer serta motif biogenetis pada pemanfaatan disiplin ilmu, pemaksimalan potensi diri, dan ketertarikan akan aplikasi NFT termasuk pada motif sekunder dengan motif sosiogenetis. 3) Cara komunikasi dilakukan secara tatap muka atau tidak langsung antara Pak Iin dengan Ridwan Kamil dalam berinteraksi satu sama lain dengan mengirim atau menerima pesan secara tidak langsung dengan adanya media internet. 4) Makna yang didapatkan adalah konsep sabar dalam bekerja dan kebermanfaatan diri bagi lingkungan sekkitar toko lukisan Pak Iin yang terjadi.
Timothy Harlian, Muhammad Faris Ruriawan, Yudha Purwanto
The progress in technology and the digital paradigm forces a new standard, such as switching from physical to digital documents. Digital documents are implemented in various ways like certificates, certificates of merit, even diplomas. However, those things are vulnerable to counterfeit, and the integrity compromise of its content will be challenging to detect. One of the solutions is increasing transparency for the document data to ensure that no single point of failure exists. Blockchain has the potential to solve the problem. Blockchain has the transparency aspect to it. Therefore, it can be used to maintain the validity of document data. Because in blockchain, only read and write operations could be done, nothing could compromise the integrity of the data. This paper implemented a document validation system with Ethereum blockchain and Rinkeby Test Network as blockchain network. This blockchain application can do input, retrieve, update, and delete with 100% black-box testing and 100% white box testing. Performance testing for all transactions has the fastest time, 6.04 seconds, and slowest time, 93.32 seconds.
Haznah Latifah, Zaleha Fauziah
A public blockchain simulation, which bears some resemblance to Bitcoin. All players are interconnected with several possibilities to form coin and block transactions and the power to get a taste of the consensus algorithm controlling transactions and blocks. A software medium that is based on blockchain games began using whiteboards to become web-based simulation games with various teaching scenarios. Contributive tool-based instruction with experience in blockchain concepts that can be used in the classroom as well as online. Along with this, simulations can give students the opportunity to experiment with all relevant blockchain operations like signing, creating transactions, building blocks, etc. This post was written to offer our firsthand experience teaching evolving blockchain technology to business and business information technology students at the undergraduate and graduate levels using newly built gamification teaching applications. This research is based on a design-based research methodology. We describe the process from identifying the problem, to designing the tool and demonstrating its implementation.
Kim Beom Rii
In the era of the digital revolution, the use of technology has made technology a major demand, coupled with the development of insight and techniques, technology in this era has been widely used in all scientific fields. In the field of monetary economics, there are payment instruments that can be used to transact both in the form of goods and services. However, nowadays it is difficult to obtain information as technology develops, the term digital transaction appears. Because many activities are carried out manually, such as searching for customer information, entering inventory items, and payment transactions, the required data display time becomes very long for users and in the process of recording reports including paper, notes, receipts, pens, filing cabinets, etc. . equipment when an error occurs during the input process, generally used simultaneously. Therefore, in this paper, the aim of this DLCS (Digital iLearning Chain Scheme) researcher to utilize Bitcoin technology can help overcome the current problem of how to use Bitcoin cryptocurrency technology in the education payment system in Indonesia. This can give birth to a Bitcoin-based scholarship system. This study uses the Blockchain method to build the system, and uses Google Forms to collect information through digital observations and questionnaires. Based on the characteristics of the system, the Slovin formula is used to analyze various aspects of system satisfaction, and the results of 0.840>0.6 are used for processing, which means if alpha>0.6 then the system can be classified as "reliable". The reliability test proved that the evaluation was based on the provided questionnaire.
Manjula K. Pawar, Prakashgoud Patil, Ridham Sawhney, Prem Gumathanavar · 6 authors
From many years to the present, people have used strong copies of degree certificates as proof of graduation. But in recent days, due to advanced technology, these certificates have been forged. As a result, undeserving people get job opportunities, which tarnish the image of these paper certificates. Therefore, overcoming such certification problems using blockchain technology is encouraged. Blockchain is a system of storing information that makes it difficult or impossible to repair, hack a system, ad save paper costs. With the help of the blockchain, an anti-forge, fixed, electronic-certified electronic certificate is produced. Students will not be able to manipulate the content of e certificates. The function of this system is that: a computer file (e-file) of the certificate i.e. The institution produces the electronic certificate At the same time, that student's record is kept in blockchain blocks using hash values. The hash value is generated from the interplanetary file system (IPFS) network. Accompanying electronic certificate, associated unique serial number (unique id) were also given to the applicant. The searching system (e.g. The Company the applicant applied for) can verify the authenticity of the electronic file using a unique hash value based on the data stored in the blockchain. The proposed method improves the performance concerning storage and speed.
Ratna Ekawati, Yandra Arkeman, Suprihatinr Suprihatinr
In 2020, there will be 1% bulk sugar product returns. Direct return to warehouse; it is not known how much and what kind of sugar was returned. Changes in the number of uncontrolled product availability occur in the logistics sector. We designed a sugar volume return mechanism to verify the identity of the buyer, the amount and time of the transaction, using the steps of investigation, analysis, and system design that can implement. The application is based on the truffle test framework and smart contracts on the Ropsten test network on the Ethereum Metamask platform wallet, localhost memory, and a decentralized web-based dashboard. Input data on the smart contract so that during the Ropsten net test process, it will generate blocks, hash codes, and contract hashes as transaction details. It also displays a summary report and a blockchain transaction dashboard. How much volume will increase or decrease due to returns, buyers, type of sugar commodity, time, and volume of sugar during data transactions is known. The features developed for smart contracts are private, semi-public transactions with consensus proof of work as validation and verification of the success of transaction data records.