Analisis Resiko dalam Evaluasi Kebijakan Privasi dan Keamanan Data Hard pada Ruang Arsiparis di BAPENDASU Menggunakan Distribusi Poisson

Akhiriyah Ramadhani; Farica Luthfiyah; Rima Aprilia

doi:10.61722/jipm.v4i5.2988

Authors

Akhiriyah Ramadhani Universitas Islam Negeri Sumatera Utara
Farica Luthfiyah Universitas Islam Negeri Sumatera Utara
Rima Aprilia Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.61722/jipm.v4i5.2988

Keywords:

Poisson Distribution, Risk Analysis, Data Security

Abstract

The security of physical archives is essential for maintaining the confidentiality, integrity, and availability of information within government institutions. This study aims to analyze the risks associated with privacy policies and hard-copy data security in the archivist room of the Regional Revenue Agency of North Sumatra Province using the Poisson distribution approach. This research employed a descriptive quantitative approach with a case study method. Data were collected through observation, documentation, and literature review, and were analyzed by identifying physical, security, technological, internal, and external risk factors. The Poisson distribution was applied to estimate the probability of document loss or damage based on the average frequency of incidents within a specific period. The findings indicate that the probability of document loss or damage remains significant, highlighting the need to strengthen security controls through enhanced surveillance systems, access control implementation, staff capacity building, and archive digitization. The application of the Poisson distribution provides a probabilistic assessment of archive security risks and serves as a data-driven basis for developing more effective and adaptive archive security policies within the Regional Revenue Agency of North Sumatra Province.

References

Daeng, Y., Linra, N., Darham, A., Handrianto, D., Sianturi, R. R., Martin, D., Et Al. (2023). Perlindungan Data Pribadi Dalam Era Digital: Tinjauan Terhadap Kerangka Hukum Perlindungan Privasi. INNOVATIVE: Journal Of Social Science Research, 3(1), 2898–2905.

Fachmi, A., & Mayesti, N. (2022). Tinjauan Literatur Argumentatif Tentang Kepemilikan Data Arsip Digital Non-Fungible Token (NFT) Pada Teknologi Blockchain. Berkala Ilmu Perpustakaan Dan Informasi, 18(2), 144–158.

Kurniawan, D. (2020). Pemodelan Regresi Poisson Terhadap Faktor-Faktor Yang Mempengaruhi Jumlah Kasus Hipertensi. Jurnal Matematika Dan Komputasi Statistik, 5(1), 12–20.

Lestari, M., & Hidayat, T. (2020). Evaluasi Risiko Keamanan Arsip Fisik Di Instansi Pemerintah: Pendekatan Statistik. Jurnal Ilmu Informasi Dan Kearsipan, 5(1), 33–42.

Nugroho, A. (2021). Model Probabilistik Dalam Manajemen Risiko Keamanan Informasi Menggunakan Distribusi Poisson. Jurnal Teknologi Informasi Dan Komunikasi, 9(2), 112–120.

Simanjuntak, R., & Harahap, D. (2023). Penerapan Distribusi Poisson Dalam Analisis Frekuensi Pelanggaran Privasi Data Di Instansi Pemerintah. Jurnal Statistika Dan Keamanan Informasi, 7(1), 21–30.

Siregar, M. R., & Lubis, A. H. (2023). Evaluasi Pengelolaan Arsip Dinamis Pada Unit Pengolah Di Sekretariat Daerah. Jurnal Perpustakaan Universitas Diponegoro, 11(2), 101–110.

Wiraguna, S. A. (2024). Metode Normatif Dan Empiris Dalam Penelitian Hukum: Studi Eksploratif Di Indonesia. PUBLIC SPHARE: Jurnal Sosial Politik, Pemerintahan Dan Hukum.

Yusuf, A. M. (2021). Analisis Risiko Operasional Menggunakan Pendekatan Distribusi Kerugian Dan Distribusi Poisson. Jurnal Manajemen Dan Agribisnis IPB, 18(1), 45–56.