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All Journal TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Router : Jurnal Teknik Informatika dan Terapan Router : Jurnal Teknik Informatika dan Terapan
Dody Herdiana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisi Perbandingan Kinerja Algoritma AES-128 GCM dan AES-256 GCM Pada Protokol TLS 1.2 Di Server Ngnix Muhammad Arifin Ilham; Dody Herdiana; M.Agreindra Helmiawan; Asep Saeppani
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.743

Abstract

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.
Analisi Perbandingan Kinerja Algoritma AES-128 GCM dan AES-256 GCM Pada Protokol TLS 1.2 Di Server Ngnix Muhammad Arifin Ilham; Dody Herdiana; M.Agreindra Helmiawan; Asep Saeppani
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.743

Abstract

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.
Analisis Sentimen Ulasan Google Play pada Aplikasi Tahu Sumedang Menggunakan Lexicon-Based Sidik, Khairil; Dody Herdiana; M. Agreindra Helmiawan; Asep Saeppani
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp356-361

Abstract

This study examines user perceptions of the Tahu Sumedang application based on reviews submitted on the Google Play Store. The purpose of this research is to identify user sentiment and understand the aspects that influence positive and negative evaluations of the application. The lexicon-based sentiment analysis method is used to classify each review into sentiment categories through a dictionary of words with positive and negative polarity. The results show variations in user sentiment that reflect satisfaction with certain features and concerns about technical performance, navigation, and application stability. The findings highlight several aspects that require improvement to optimize the quality of digital public services. The conclusion of this study emphasizes the importance of user feedback as an evaluation basis for developing more responsive and efficient public service applications.
Co-Authors Asep Saeppani Muhammad Agreindra Helmiawan Muhammad Arifin Ilham Sidik, Khairil