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Pengaruh Mobilitas Penduduk Terhadap Penyebaran HIV dengan Menerapkan Model Seir Sahrudin Sahrudin; Dwi Andini; Sandrina Malakiano Ritonga; Intan Janurianty; Ade Widya
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 8 No 1 (2025): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v8i1.1019

Abstract

Human Immunodeficiency Virus (HIV) is a virus that causes Acquired Immunodeficiency Syndrome (AIDS). This virus attacks the immune system by destroying one of its important elements, namely white blood cells known as T lymphocytes or lymphocyte cells. This study aims to analyze the influence of population mobility on the spread of HIV in North Sumatra Province using the SEIR (Susceptible, Exposed, Infected, Recovered) model. The data used includes the population and new HIV cases in 2023 in 33 districts/cities in this region. The SEIR model was modified to take into account the level of population mobility to calculate the disease transmission rate. The results of the analysis show that areas with high levels of mobility, such as Medan and Deli Serdang, have a significant number of new HIV cases, 1,200 and 144 cases respectively. In contrast, areas with small populations and low mobility, such as Pakpak Bharat and North Nias, recorded low or no HIV cases. This research shows a correlation between population mobility and the spread of HIV, so prevention strategies are needed that focus on areas with high levels of mobility.
Implementasi Optical Character Recognition Dalam Pengolahan Data Statistik Survei Penduduk Di Badan Pusat Statistik Kota Tebing Tinggi Dwi Andini; Sandrina Malakiano Ritonga; Intan Janurianty; Rini Halila Nst
(JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer Vol. 1 No. 4 (2025): Volume 1 Nomor 4 Tahun 2025
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.180997/jrsikom.v1i4.94

Abstract

Implementasi teknologi Optical Character Recognition (OCR) di lingkungan Badan Pusat Statistik (BPS) Kota Tebing Tinggi bertujuan untuk meningkatkan efisiensi dan akurasi dalam pengolahan data survei penduduk. Teknologi ini memungkinkan konversi dokumen fisik menjadi data digital secara otomatis, sehingga mampu mengurangi beban kerja manual dan meminimalkan kesalahan input data. Penelitian ini menggunakan pendekatan studi kasus deskriptif kualitatif melalui observasi langsung dan wawancara dengan staf BPS. Hasil penelitian menunjukkan bahwa penggunaan aplikasi OCR seperti CamScanner mampu mempercepat proses input data dan mendukung transformasi digital di institusi pemerintah. Keberhasilan implementasi dipengaruhi oleh kesiapan infrastruktur, pemilihan perangkat yang sesuai, pelatihan operator, serta integrasi sistem OCR ke dalam sistem kerja yang ada. Kata kunci: Optical Character Recognition, BPS, CamScanner