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Journal : media of computer science

Implementation of Blockchain Technology for Securing Data Point Transactions in an IoT-Based Waste Sorting System Naufal Raihan Elriza; Kasliono Kasliono; Hirzen Hasfani
Media of Computer Science Vol. 2 No. 2 (2025): December 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i2.249

Abstract

An Internet of Things (IoT) based waste sorting device awards points to users who dispose of waste through it, as long as the user is registered in the system. However, despite these benefits, this system is vulnerable to various forms of cybercrime. One such challenge is the rise of data manipulation and cyberattacks such as sql injection and threats from internal parties (Insider Threats). This research aims to secure point data transactions in an Internet of Things (IoT) based waste sorting system integrated with blockchain technology to improve security in recording user point data. Tests were conducted to ensure that point data sent from IoT devices were successfully recorded on the blockchain network permanently and verified through transaction hashes in etherscan and to prevent sql Injection and Insider Threat attacks in attempts to illegally alter data. The results of the data transmission test to the blockchain network, which was carried out 30 times, showed that each transaction was successfully recorded and provided a transaction hash. In addition, the attack test, which was carried out 30 times, each attack resulted in a notification with the text “[PERINGATAN] Terjadi Percobaan Pengubahan Poin " in red. Using the blockchain network, both attacks failed to alter user points
Driver Drowsiness Bracelet Using Heart Rate Sensor and Arduino Uno Lesmana Dwi Prayudha; Uray Ristian; Hirzen Hasfani
Media of Computer Science Vol. 2 No. 2 (2025): December 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i2.247

Abstract

Traffic accidents are incidents on the road that result in material losses or fatalities, and approximately 69.7% of them are triggered by human error. One of the dominant factors is reduced alertness due to drowsiness, which can develop into microsleep—a brief loss of consciousness that often goes unnoticed by drivers. Since microsleep is associated with physiological changes such as a decrease in heart rate during the early phase before falling asleep, heart-rate signals serve as an important indicator for monitoring drowsiness. This study develops a driver drowsiness monitoring system based on a heart-rate sensor packaged in a wristband and controlled by an Arduino Uno. A pulse sensor operating on the Photoplethysmography (PPG) principle is used as the main input, while a signal-filtering mechanism is incorporated to reduce noise caused by hand movement, ensuring stable data quality. The system implementation successfully produced clean and consistent heart-rate signals that can be processed to identify drowsiness indicators without significant interference. Testing results show that the designed system is capable of monitoring heart-rate activity effectively and providing valid indicators of drowsy conditions. Overall, the device demonstrates strong potential as a practical solution to help prevent accidents caused by microsleep.