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Towards Sustainable and Trustworthy Digital Infrastructure: Benchmarking RSA and ECDSA Digital Signature Algorithms in Support of SDGs 9 and 16 Yuliani Puji Astuti; Ulfa Siti Nuraini
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.212

Abstract

Objective: This study aims to evaluate and compare the performance of the Rivest–Shamir–Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA) digital signature schemes in terms of key generation, signing, verification, and storage efficiency. The research supports the advancement of secure digital communication systems aligned with Sustainable Development Goals (SDGs) 9 and 16, which emphasize innovation, resilient digital infrastructure, and trustworthy institutions. Method: A quantitative experimental approach was employed on a Windows AMD64 platform using Python. Five cryptographic configurations were evaluated: RSA-2048, RSA-4096, ECDSA P-256, ECDSA P-384, and ECDSA P-521. Performance tests were conducted on payload sizes of 1 KB, 10 KB, and 100 KB. Each cryptographic operation, including key generation, signing, and verification, was repeated 100 times to ensure measurement consistency and reliability. Results: The findings indicate that ECDSA significantly outperforms RSA in several performance aspects. ECDSA P-256 reduced signature storage requirements by 72.3%, generated keys nearly 13,000 times faster than RSA-2048, and signed 10 KB payloads approximately 48 times faster. ECDSA P-384 also demonstrated strong performance while providing a higher security level. Although RSA-2048 remains suitable for legacy systems, its efficiency is lower than ECDSA-based alternatives. Novelty: This study provides a comprehensive comparative evaluation of multiple RSA and ECDSA variants across different payload sizes and operational metrics, offering practical recommendations for selecting digital signature algorithms. The results highlight ECDSA P-256 as the optimal choice for 128-bit security requirements and ECDSA P-384 for applications requiring stronger 192-bit security.
Towards Sustainable and Trustworthy Digital Infrastructure: Benchmarking RSA and ECDSA Digital Signature Algorithms in Support of SDGs 9 and 16 Yuliani Puji Astuti; Ulfa Siti Nuraini
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.212

Abstract

Objective: This study aims to evaluate and compare the performance of the Rivest–Shamir–Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA) digital signature schemes in terms of key generation, signing, verification, and storage efficiency. The research supports the advancement of secure digital communication systems aligned with Sustainable Development Goals (SDGs) 9 and 16, which emphasize innovation, resilient digital infrastructure, and trustworthy institutions. Method: A quantitative experimental approach was employed on a Windows AMD64 platform using Python. Five cryptographic configurations were evaluated: RSA-2048, RSA-4096, ECDSA P-256, ECDSA P-384, and ECDSA P-521. Performance tests were conducted on payload sizes of 1 KB, 10 KB, and 100 KB. Each cryptographic operation, including key generation, signing, and verification, was repeated 100 times to ensure measurement consistency and reliability. Results: The findings indicate that ECDSA significantly outperforms RSA in several performance aspects. ECDSA P-256 reduced signature storage requirements by 72.3%, generated keys nearly 13,000 times faster than RSA-2048, and signed 10 KB payloads approximately 48 times faster. ECDSA P-384 also demonstrated strong performance while providing a higher security level. Although RSA-2048 remains suitable for legacy systems, its efficiency is lower than ECDSA-based alternatives. Novelty: This study provides a comprehensive comparative evaluation of multiple RSA and ECDSA variants across different payload sizes and operational metrics, offering practical recommendations for selecting digital signature algorithms. The results highlight ECDSA P-256 as the optimal choice for 128-bit security requirements and ECDSA P-384 for applications requiring stronger 192-bit security.
Higher-order SEM-PLS Modeling of School Readiness Among Indonesian Senior High School Students Dinda Galuh Guminta; Hasanuddin Al-Habib; Ulfa Siti Nuraini; Kartika Chandra Dewi
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 23 No. 1 (2026)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2026.v23.i1.18060

Abstract

Improving the quality of secondary education is a strategic priority in Indonesia due to its impact on human wellbeing. Secondary education faces challenges in improving the quality of learning and students' psychological readiness. School preparation is widely acknowledged as a multifaceted concept that highlights the significance of social-emotional engagement, self-regulation, and cognitive-motivational engagement. Therefore, this study aims to examine the construct of school readiness in Indonesia senior high school students using higher-order SEM-PLS. Results indicate that behavioral regulation is the strongest predictor of academic achievement (0.385) and functions as the central mechanism transmitting social-emotional engagement into academic outcomes. However, cognitive-motivational factors exert a competitive mediating effect, indicating that academic grades do not always improve among students who show strong cognitive-motivational engagement (-0.130). The results of this study highlight the important role of behavioral regulation in academic achievement and indicate that social-emotional engagement exerts the strongest overall influence on cognitive-motivational engagement, thereby supporting a multidimensional integrated model of school readiness.