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Mutmainnah Muchtar
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Media of Computer Science
Published by CV. Digital Innovation
ISSN : 30634822     EISSN : 30634997     DOI : https://doi.org/10.69616/mcs
Media of Computer Science (MCS), a two times annually provides a forum for the full range of scholarly study . MCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so that more intelligent system can be built to industrial applications. The topics include but not limited to : fuzzy logic, neural network, genetic algorithm and evolutionary computation, hybrid systems, adaptation and learning systems, distributed intelligence systems, network systems, human interface, biologically inspired evolutionary system, artificial life and industrial applications. The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis.
Articles 23 Documents
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.
Implementation of the Advanced Encryption Standard (AES) Algorithm on Access Code QR Codes in a Smart Door System Ihsan Azhar Rhamadan; Kasliono; Syamsul Bahri
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.v2i2.258

Abstract

This research aims to design a smart door system based on QR codes with increased security using the AES-256-CBC algorithm. With AES-256-CBC encryption, the access code data sent from the device to the server is no longer in plaintext form, making it more secure from Man-in-the-Middle (MitM) attacks such as sniffing. The system utilizes ESP32-CAM to read QR codes and NodeMCU ESP32 to encrypt access data using a key hashed with SHA-256 and a 16-byte IV before being sent to the server for verification. Performance testing shows that the average delay increased from 66.4 ms to 67.46 ms after AES implementation, with a maximum value of 82 ms which is still in accordance with the TIPHON standard. On the throughput side, without AES the average is only 5.23 kbps due to shorter data, while with AES it increases to 7.30 kbps with a peak of 8 kbps due to the longer ciphertext size. The response time test recorded an average of 3830.76 ms and a maximum of 6086 ms, spanning the process from sending the code to opening the solenoid. Despite variations due to internet connection quality, delay spikes do not significantly impact system performance, indicating that the system remains secure and stable for IoT-based access control.

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