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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Applied Technology and Computing Science Journal Jurnal Informatika dan Rekayasa Perangkat Lunak G-Tech : Jurnal Teknologi Terapan Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) EJOIN : Jurnal Pengabdian Masyarakat SmartComp
IVANA LUCIA KHARISMA
Universitas Nusa Putra
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Journal : Sistemasi: Jurnal Sistem Informasi

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Implementation of Deep Neural Network in the Design of Ethereum Blockchain Scam Token Detection Applications Dimas Arya Pamungkas; Ivana Lucia Kharisma; Dwi Sartika Simatupang; Kamdan Kamdan
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3162

Abstract

The popularity of blockchain continues to increase as technology develops, especially in the context of Ethereum as one of the leading blockchain platforms. However, this increase was also followed by many cases of fraud, especially in the form of tokens. In blockchain technology, tokens often refer to cryptocurrencies or digital currencies used as a means of exchange related to a particular project or platform. This research designs and builds an application system that can detect scam crypto tokens on the Ethereum blockchain, specifically for the ERC-20 (Ethereum Request for Comments 20) token type, which was proposed by Fabian Vogelsteller in November 2015, is a token standard that implements APIs for tokens. in Smart Contracts. Making a scam detection application implements the deep learning method with the Deep Neural Network (DNN) algorithm and evaluates performance using two test scenarios by dividing the dataset into three ratios of training data and test data. The output of the application is JSON-RPC which is integrated with the website. In testing the DNN model, using 80% training data and 20% test data, the DNN algorithm provides an accuracy of 0.997558%. Furthermore, system testing was carried out involving various scenarios to verify its functionality, including input validation, data extraction, DNN prediction, and display of prediction results, which gave good results from the system created. The application has succeeded in identifying scam tokens with high accuracy. , increasing user security in crypto transactions.
Co-Authors Adisti Ridha Ramadhan Alun Sujjada Alyanissa Putri Iskandar Andi Nopiandi Anggun Fergina Anggun Fergina Anggun Fergina Asep Rizki Firdaus Atikah Mugiyanti Ato Mustopa Azkal Khalif Dede Serlina Dhea Ayu Septiani Dhea Ayu Septiani Dimas Arya Pamungkas Dwi Sartika simatupang E. Tesly Navida Fakhriyal Riyandi Yasin falentino sembiring Gina Purnama Insany Gina Purnama Insany Hermanto Junjun Junaedi Kamdan Meutia Riany Muhamad Galih Sundayana Mutiara Annisa Tresna Ati Nadila Angelina Nieka Julyana Nur Hidayah K. Fadhilah Paikun Pascal Aditia Muclis Resma Nuraeni Rismi Nurlaely Rizki Haddi Prayoga ROSNIA YURISTA Sally Agustin Elisya Salman Alhidamkara Siti Sarah Sobariah Lestari Somantri Somantri Somantri Suhendar Suhendar Widy Karisma Yusup Solehudin