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ITEj (Information Technology Engineering Journals)
ISSN : 25482130     EISSN : 25482157     DOI : https://doi.org/10.24235/itej.v5i2
ITEj (Information Technology Engineering Journals) is an international standard, open access, and peer-reviewed journal to discuss new findings in software engineering and information technology. The journal publishes original research articles and case studies focused on e-learning and information technology. All papers are peer-reviewed by reviewers. The scope of the system discussed is attached but not limited; Systems and software engineering Artificial Intelligence Technology (AI) and Machine Learning Internet of Thing and Big Data Smart Education systems and components Computer Vision Information Technology etc
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Articles 2 Documents
Search results for , issue "Vol 11 No 1 (2026): In Progress" : 2 Documents clear
Performance Evaluation of Modulation and Power Allocation Effects on BER in NOMA with SIC over AWGN Channels Apriliani, Defina; Soim, Sopian; Sholihin, Sholihin
ITEJ (Information Technology Engineering Journals) Vol 11 No 1 (2026): In Progress
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.257

Abstract

This study evaluates the performance of a Non-Orthogonal Multiple Access (NOMA) system implementing Successive Interference Cancellation (SIC) over Additive White Gaussian Noise (AWGN) channels, focusing on the effects of modulation schemes and power allocation on Bit Error Rate (BER). Three modulation schemes BPSK, QPSK, and 16QAM are studied in combination with different power allocation configurations (e.g., α = 0.1, 0.3) for two users in an OFDM-based NOMA downlink scenario. The signal superposition process is performed at the transmitter side, while SIC is applied at the receiver side to separate the user signals. The simulation results show that the BER performance is greatly affected by the modulation level and power allocation ratio. Lower-order modulations (such as BPSK and QPSK) provide better performance at low SNR, especially for users with poorer channel quality. On the other hand, improper power distribution can cause error propagation in the SIC process, degrading the demodulation accuracy. This study emphasizes the importance of selecting adaptive modulation schemes and power allocation strategies in NOMA system design. These findings provide important contributions to the development of future wireless communication systems, especially 5G and later generations, which demand high spectral efficiency and multi-user service reliability.
Implementation of Ethereum-Based Blockchain Technology for ADS-B Data Security and Validation Rabbaniansyah, Kgs Muhammad Farhan; Lindawati, Lindawati; Soim, Sopian
ITEJ (Information Technology Engineering Journals) Vol 11 No 1 (2026): In Progress
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.271

Abstract

Automatic Dependent Surveillance–Broadcast (ADS-B) has significantly enhanced air traffic monitoring by enabling real-time broadcasting of aircraft positions and identifiers. However, its lack of cryptographic safeguards makes it inherently vulnerable to spoofing, replay, and tampering attacks. This study presents a blockchain-based ADS-B validation framework that leverages Ethereum smart contracts and MetaMask for secure, decentralized data authentication. The proposed system validates incoming flight messages by enforcing logical constraints on altitude changes, timestamp order, and geographic displacement using Solidity-coded rules. Each data transaction is subject to a dual-layer security model: automated detection by the smart contract and manual authorization via MetaMask. This ensures that even flagged anomalies cannot be committed without human approval, thus combining operational oversight with blockchain's immutability. The system was tested using flight data from the OpenSky Network, with 56 attack simulations performed across spoofing, replay, and tampering categories. The contract achieved a 92.9% detection rate, with all accepted anomalies intentionally approved to test forensic transparency. Ethereum’s transparent ledger preserved all transaction details, reinforcing its potential for regulatory compliance and incident investigation. The results affirm blockchain’s suitability in protecting aviation telemetry against unauthorized modifications. Future enhancements may include machine learning for anomaly detection, stricter timestamp controls, and integration with global aircraft registries to improve spoofing detection. This implementation bridges theoretical blockchain benefits with operational air traffic requirements.

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