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All Journal JOIV : International Journal on Informatics Visualization Jurnal Abdi Insani Indonesian Journal for Social Responsibility Journal of Informatics and Communication Technology (JICT) SOROT: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics and Communication Technology (JICT)
Syifa Nurgaida Yutia
Telkom University
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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Blockchain-based Smart Contract for Decentralized Marketplace Yutia, Syifa Nurgaida; Zaini Fathiana, Rana; Zahrotul Fajriyah, Siti
JOIV : International Journal on Informatics Visualization Vol 6, No 2-2 (2022): A New Frontier in Informatics
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2-2.1121

Abstract

The advance of information technology has a growing influence on one of the most popular social trends: online shopping. The rising popularity of online shopping among the general public, as indicated by the growth in the number of online purchasers each year, has prompted business owners to pursue online ventures. The marketplace is intrinsically tied to online buying activity that connects merchants and customers, allowing customers to search for various goods and services from various providers. However, service failures are vulnerable to centralized market systems that emerge frequently. When the company's services to customers fail to satisfy consumer expectations. A breakdown in purchasing and selling essential services, including product delivery and customer support, is referred to as service failure. As a result, not only does this harm confidence, but it may also cause clients to migrate to an alternative marketplace. The marketplace's competitiveness is based on consumer confidence. The decentralized marketplace can address this security concern. A decentralized marketplace is meant to build a system that does not require the confidence of a third party using blockchain technology and smart contracts that can record all transactions clearly and consistently, allowing them to serve as a single point of truth between distrusting entities. The findings largely support the feasibility of Ethereum Smart Contracts to construct a decentralized marketplace. However, there are some places where further study and development are needed.
Implementation of Support Vector Regression for Polkadot Cryptocurrency Price Prediction Haryadi, Deny; Hakim, Arif Rahman; Atmaja, Dewi Marini Umi; Yutia, Syifa Nurgaida
JOIV : International Journal on Informatics Visualization Vol 6, No 1-2 (2022): Data Visualization, Modeling, and Representation
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1-2.945

Abstract

Cryptocurrency investment is an investment instrument that has high risk but also has a greater advantage than other investment instruments. To make a big profit, investors need to analyze cryptocurrency investments to predict the price of the cryptocurrency to be purchased. The highly volatile movement of cryptocurrency prices makes it difficult for investors to predict those prices. Data mining is the process of extracting large amounts of information from data by collecting, using data, the history of data relationship patterns, and relationships in large data sets. Support Vector Regression has the advantage of doing accurate cryptocurrency price predictions and can overcome the problem of overfitting by itself. Polkadot is one of the cryptocurrencies that are often used as investment instruments in the world of cryptocurrencies. Polkadot cryptocurrency price prediction analysis using the Support Vector Regression algorithm has a good predictive accuracy value, including for Polkadot daily closing price data, namely with a radial basis function (RBF) kernel with cost parameters C = 1000 and gamma = 0.001 obtained model accuracy of 90.00% and MAPE of 5.28 while for linear kernels with parameters C = 10 obtained an accuracy of 87.68% with a MAPE value of 6.10. It can be concluded that through parameter tuning, the model formed has an accuracy value and the best MAPE is to use a radial kernel basis function (RBF) with cost parameters C = 1000 and gamma = 0.001. The results show that the Support Vector Regression method is quite good if used for the prediction of Polkadot cryptocurrencies.
Prototype of Integrated National Identity Storage Security System in Indonesia using Blockchain Technology Fathiyana, Rana Zaini; Yutia, Syifa Nurgaida; Hidayat, Dinda Jaelani
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.877

Abstract

Approximately 29 institutions in Indonesia issue were identifying numbers, such as ID cards, driving licenses, BPJS, etcetera. In general, the identity storage system is designed with a centralized system and managed by each government agency. However, this system has some disadvantages, like data replication and redundancy. Furthermore, the Indonesian government is now undertaking a program through the Ministry of Home Affairs to use population data for public services by providing access to organizations cooperating for population data use. With a centralized database managed by a single entity, data abuse can occur and rely on third parties, the sole authority of the national identity data. The blockchain-based solution described in this paper to integrate a national identity system can provide the advantages of a population data utilization program. The system designed can facilitate convenience in sharing and updating population data while also ensuring the security and integrity of the population data. The citizens do not have to worry about the possibility of data misuse by user institutions. Blockchain technology offers decentralization through the participation of members across a distributed network. There is no single point of failure, and no single user may alter the transaction record. Our proposed approach could help the government of Indonesia secure citizens' private information and increase transparency in information management.
Co-Authors -, Isna Agustina -, Nurul Ilmi Adelia Rahaguna, Rahma Putri Adi Kuncoro Arif Rahman Hakim Atmaja, Dewi Marini Umi Dadan Nur Ramadan Dea Wemona Rahma Deny Haryadi Dharma Putra, I Made Raditya Dwina Satrinia Fayyaza, Naira Rizqa Gelar Budiman Hidayat, Dinda Jaelani Iik Muhamad Malik Matin Indrarini Dyah Irawati Lum, Fatimah Azzahra Ikhlasun Najib, Mu'ammar Hannan Nanang Cahyadi Nugraha, Dimas Adhi Nurul Ilmi, Nurul Nurwan Reza Fachrurrozi Pietra Dorand Qilbaaini Effendi Muftikhali Rana Zaini Fathiyana Rita Purnamasari Rizka Rachmawati Rysanti, Alya Saputra, Hakim Giraldi Sasmi Hidayatul Yulianing Tyas Setiadi, Didi Siti Zahrotul Fajriyah Sugondo Hadiyoso Syamsutizar, Muhammad Genta Wirania Swasty Yosya, Syepria Bilqiis Yudiansyah Yudiansyah Zahrotul Fajriyah, Siti Zaini Fathiana, Rana