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JTEIN: Jurnal Teknik Elektro Indonesia
Published by Universitas Negeri Padang
ISSN : -     EISSN : 27230589     DOI : https://doi.org/10.24036/jtein.v1i1.8
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering
JTEIN: Jurnal Teknik Elektro Indonesia dikelola oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang, dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya. Fokus pada bidang yang terkait dengan Teknik Elektro.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 343 Documents
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Analysis of SSD usage for performance improvement on the Asus TUF FX505DU Ahmad Fauzan; Adly Fitra Kusuma; Yuliarman Saragih
Jurnal Teknik Elektro Indonesia Vol 7 No 2 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i2.821

Abstract

Storage subsystems often become the bottleneck in modern laptops, especially when applications generate high I/O demand. This study evaluated the performance impact of replacing a 5400 rpm HDD with an NVMe SSD in an Asus TUF FX505DU laptop. A qualitative descriptive approach was used by combining literature review, an interview with a computer technician, and controlled benchmarking on the same hardware platform. Four tools were employed: ATTO Disk Benchmark, AS SSD Benchmark, HD Tune Pro, and Cinebench 2024. The SSD demonstrated substantially higher sequential throughput and significantly lower access latency than the HDD; HD Tune Pro reported an average read rate of 660.5 MB/s for the SSD compared with 4.5 MB/s for the HDD, with access time reduced from 95.1 ms to 0.251 ms. Application-related results also improved, including a higher GPU score in Cinebench. However, some CPU-related metrics did not improve and the SSD scenario showed higher CPU utilization during storage testing, indicating that faster I/O could shift the bottleneck to computation. Overall, the results confirmed that SSD adoption markedly improved laptop responsiveness and data access performance, and it was recommended as the primary storage option for modern workloads.
Fingerprint Identification System using Hong Approach Foni Aysah; Riki Mukhaiyar
Jurnal Teknik Elektro Indonesia Vol 7 No 2 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i2.887

Abstract

Fingerprint recognition has been widely adopted as a biometric authentication method because it offers a unique and reliable means of verifying identity. However, the accuracy of fingerprint recognition systems depended on the quality of the acquired images, which were often affected by noise, low contrast, and unclear ridge–valley patterns that hindered minutiae extraction. This study addressed that problem by applying the Hong method, which enhanced fingerprint images through normalization, ridge orientation estimation, ridge frequency estimation, and Gabor filtering, prior to minutiae extraction and template matching. The method was implemented in MATLAB R2023b and tested on grayscale fingerprint images from the SOCOFing dataset. Testing was conducted on ten classes of fingerprint data, with recognition accuracy evaluated through identity matching and further assessed using a confusion matrix built from twenty test images, consisting of ten registered and ten unregistered users, across four threshold values. The results showed that the Hong method achieved a recognition accuracy of only 10%, even though eight of ten test images were classified as recognized based on similarity scores exceeding the threshold, indicating that the system was prone to false acceptance at lower thresholds. Analysis of the False Acceptance Rate and False Rejection Rate revealed a trade-off, with the Equal Error Rate occurring at a threshold of 0.5495 and a value of 0.4367. These findings indicated that although the Hong method improved fingerprint image quality, the overall identification performance remained low, and careful threshold selection was required to balance false acceptance and false rejection in fingerprint authentication systems.
Modeling Adaptive Interference Management in Ultra-Dense Networks Assisted by Reconfigurable Intelligent Surfaces Using Dynamic Soft-FFRR and Clustering Alisha Gita Gumilang; Moh Wahyu Aminullah; Thriska Dewi Umi Rasyda; M. Rayhan Al-Fiansha; Ate Nurjana
Jurnal Teknik Elektro Indonesia Vol 7 No 2 (2026): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v7i2.857

Abstract

Ultra-Dense Networks (UDN) and Reconfigurable Intelligent Surfaces (RIS) have emerged as two pivotal technologies for meeting the growing demand for network capacity and service quality. UDN boosts capacity by densely deploying femtocells, whereas RIS broadens coverage by relaying obstructed signals toward the receiver. However, the dense femtocell deployment introduces co-tier and cross-tier interference, and the reflective nature of RIS aggravates this problem, since interfering signals are likewise steered toward the receiver. To overcome this, the present study proposes an adaptive interference management scheme that combines dynamic clustering and Soft Fractional Frequency Reuse (Soft-FFR) within a RIS-assisted UDN. Clustering suppresses co-tier interference, while re-clustering and channel allocation are triggered by the network state, namely the estimated SINR and service zone of each femtocell. Four system models baseline, Dynamic Clustering, dynamic Soft-FFR, and the proposed integration were simulated on a three-macrocell network with up to 330 femtocells. The proposed method achieves the best overall performance among the evaluated schemes. Compared with the baseline, the SINR CDF at 20 dB falls from 64% to 43% and the throughput CDF at 70 Mbps decreases from 84% to 62%, indicating that a substantially larger proportion of users attain high SINR and throughput. The spectral efficiency at 330 HeNBs increases from 5.9 to 6.9 bit/s/Hz, and the bit error rate is reduced from about 0.13 to 0.05. These results confirm that adaptively integrating Dynamic Clustering and Soft-FFR effectively suppresses both co-tier and cross-tier interference, thereby improving the reliability and spectral efficiency of dense RIS-assisted UDNs.

Page 35 of 35 | Total Record : 343

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