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All Journal JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Quancom: Jurnal Quantum Komputer
Telaumbanua, Emalia Putri
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Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management

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Implementasi Keamanan Perangkat Lunak Menggunakan Algoritma Kriptografi dan Steganografi berbasis Web Telaumbanua, Emalia Putri; Rivael Sagala; Alvina Siallagan
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 1 (2025): Juni 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i1.445

Abstract

Software security has become very important in today's digital era, especially in protecting sensitive data that is often the target of cyber attacks. This research proposes a combination of Advanced Encryption Standard (AES) cryptographic algorithm and Least Significant Bit (LSB) steganography to enhance data security. By encrypting data using AES and hiding it in an image through the LSB method, this system not only protects the content of the data but also reduces the possibility of detection by third parties. The research method includes literature analysis, system prototype development, and testing to evaluate the effectiveness of the implementation. The test results show that the number of message characters has a significant effect on the image size after encoding and execution time. The more characters inserted, the image size increases proportionally, and the execution time for encryption and encoding also increases. This research is expected to contribute to the development of information security technology and practical solutions for software developers in improving application security.
Analisis Pengaruh Fasilitas Kesehatan terhadap Kematian COVID-19 dengan Integrasi Data, Prediksi, dan MongoDB Hutapea, Oppir; Pasaribu, Laura Vegawani; Sidabutar, Yenita; Hutajulu, Kevin; Telaumbanua, Emalia Putri; Sinaga, Syahrial
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 9, No 2 (2025): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v9i2.20126

Abstract

Pandemi COVID-19 menimbulkan tantangan besar bagi sistem kesehatan di Indonesia, dengan lebih dari 155.000 kematian hingga tahun 2022. Penelitian ini bertujuan untuk menganalisis pengaruh ketersediaan fasilitas kesehatan terhadap tingkat kematian akibat COVID-19 di Indonesia dengan pendekatan data science. Data yang digunakan mencakup informasi fasilitas kesehatan dari Dinas Kesehatan dan Kementerian Kesehatan, serta data epidemiologi COVID-19, yang diintegrasikan berdasarkan wilayah administratif. Proses analisis mencakup tahapan pra-pemrosesan data, penyimpanan menggunakan MongoDB, serta pemodelan prediktif menggunakan algoritma regresi linier. Hasil penelitian menunjukkan bahwa variabel seperti jumlah kasus baru, kepadatan penduduk, dan jumlah fasilitas kesehatan memiliki pengaruh signifikan terhadap tingkat kematian. Visualisasi data mendukung temuan ini, di mana wilayah dengan ketersediaan fasilitas yang lebih baik cenderung memiliki angka kematian yang lebih rendah. Penelitian ini menegaskan pentingnya penguatan sistem informasi kesehatan berbasis big data sebagai strategi untuk meningkatkan ketahanan sistem kesehatan nasional dalam menghadapi krisis di masa mendatang.
Co-Authors Alvina Siallagan Hutajulu, Kevin Hutapea, Oppir Pasaribu, Laura Vegawani Rivael Sagala Sidabutar, Yenita Sinaga, Syahrial