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All Journal Jurnal Lentera Pengabdian SISFOTENIKA Jurnal Sistem Informasi dan Ilmu Komputer
Wafha Zahra Mulqiya
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Social Sciences

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Sosialisasi Teknologi Blockchain kepada Mahasiswa untuk Kesadaran Pengamanan IoT Sistem Terdistribusi Zulaeha, Zulaeha; Tyanshi Firli Maharani; Wafha Zahra Mulqiya; Alfaza Putra Adjie Ariefiansyah; Robby Firmansyah; Ridha Muhammad Rifqi
Lentera Pengabdian Vol. 2 No. 03 (2024): Juli 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v2i03.411

Abstract

Teknologi Blockchain menjadi kunci penting untuk mengamankan sistem terdistribusi, khususnya terkait Internet of Things (IoT). Mahasiswa sebagai pemimpin masa depan memerlukan pemahaman mendalam mengenai peluang dan tantangan penerapan teknologi ini. Tulisan ini mengeksplorasi strategi penyebaran teknologi Blockchain kepada mahasiswa untuk meningkatkan kesadaran mereka akan keamanan sistem terdistribusi IoT. Metode penyebarannya meliputi lokakarya interaktif, studi kasus dan simulasi yang menggambarkan manfaat Blockchain dalam konteks Internet of Things. Survei yang dilakukan sebelum dan sesudah kegiatan menunjukkan peningkatan yang signifikan dalam pemahaman siswa terhadap konsep blockchain dan pentingnya keamanan di Internet of Things. Hasilnya menunjukkan bahwa pendekatan penelitian efektif dalam meningkatkan partisipasi dan minat mahasiswa terhadap teknologi ini. Kesimpulannya, mengintegrasikan pendidikan Blockchain ke dalam kurikulum pendidikan tinggi adalah penting untuk mempersiapkan generasi masa depan menghadapi tantangan keamanan yang kompleks di era digital. Langkah ini sangat penting untuk menjamin keterlangsungan ilmu pengetahuan dalam perkembangan teknologi masa depan.
Effectiveness Study of Hybrid Caesar-Vigenere Cipher Method in Text Security Wafha Zahra Mulqiya; Zulaeha; Vivie Zuliani Erikasari; Tyanshi Firli Maharani; Turmudi Zy, Ahmad
SISFOTENIKA Vol. 15 No. 1 (2025): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v15i1.528

Abstract

Data security has become very important to protect data from threats such as theft and manipulation in this digital era. This research investigates how the hybrid Caesar-Vigenere Cipher method that combines Caesar Cipher and Vigenere Cipher algorithms protects text data with double encryption. This method uses the Three-Pass Protocol, which allows the sender and receiver to exchange messages without sharing keys, increasing the complexity of the ciphertext and improving the defense against brute force attacks. The results show that the hybrid algorithm improves the security of text data better than the single encryption method, especially for small to medium-sized applications. This research offers a practical solution to the problem of data security in the digital era.
Peningkatan Perlindungan pada Sistem Operasi Windows terhadap Gangguan Malware Zulaeha Zulaeha; Wafha Zahra Mulqiya; Elkin Rilvani
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i1.4440

Abstract

As a popular platform, Windows faces increasingly complex and diverse malware threats. This research evaluates Windows security weaknesses and finds effective methods of mitigating malware attacks. To ensure the validity of the results, the analysis was conducted through literature review, protection method evaluation, and data triangulation. The results show that layered protection methods, which include implementing firewalls, antivirus, and regular system updates, are highly effective in combating different types of malware, such as ransomware, trojans, and spyware. In addition, the use of machine learning and artificial intelligence helps detect threats in real-time. This research provides practical advice for developers and users on how to improve Windows security through a combination of proactive and reactive measures. It also suggests that users be more aware of cybersecurity. The results of this research are expected to serve as a reference for the development of more secure operating systems in the future.
Co-Authors Alfaza Putra Adjie Ariefiansyah Elkin Rilvani Ridha Muhammad Rifqi Robby Firmansyah Turmudi Zy, Ahmad Tyanshi Firli Maharani Vivie Zuliani Erikasari Zulaeha Zulaeha Zulaeha Zulaeha Zulaeha