Jamila, Lubna (2026) Analisis Spasial WebGIS untuk Pemetaan Potensi Penyebaran HIV Berdasarkan Persebaran Populasi Kunci Menggunakan Metode K-Means Clustering. Undergraduate thesis, Politeknik Negeri Jember.
![[img]](https://sipora.polije.ac.id/style/images/fileicons/text.png) |
Text (Abstract)
Abstract.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (49kB) |
|
Text (Bab 1 Pendahuluan)
Bab 1 Pendahuluan.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (119kB) |
|
Text (Daftar Pustaka)
Daftar Pustaka.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (167kB) |
|
Text (Laporan Lengkap)
Laporan Lengkap.pdf - Submitted Version Restricted to Registered users only Download (3MB) | Request a copy |
Abstract
Jember Regency ranks third in the highest number of HIV cases in East Java with a total of 7,834 PLHIV from 2006 to 2023. Female Sex Workers (FSWs) are the main contributors to the spread of HIV, but spatial risk group mapping is not yet available, making it difficult for targeted interventions. This study builds a WebGIS system based on K-Means Clustering to group areas based on the potential risk of HIV spread in Jember Regency. FSW data from the Laskar Pelangi Petung Foundation is processed into four ratio variables: FSWs per 1,000 residents, Hotspots per 1,000 residents, Test Rate, and Positive Rate, then normalized with Z-Score. The optimal cluster is determined using the Elbow Method and validated by the Silhouette Coefficient. The system is built with the Laravel framework and the Waterfall method. The results show an optimal cluster of K = 4 with a Silhouette Score of 0.620. Four clusters were formed from 31 sub-districts: High (Kaliwates and Sumbersari), Medium (14 sub-districts), Low/Special (Panti), and Very Low (14 sub-districts). Interactive GIS map visualizations helped NGO partners and the health department determine priority areas for intervention.
| Item Type: | Thesis (Undergraduate) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Uncontrolled Keywords: | K-Means Clustering, WebGIS, HIV, Female Sex Workers (FSW), Jember Regency. | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 459 - Ilmu Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Lubna Jamila | ||||||
| Date Deposited: | 28 Apr 2026 05:46 | ||||||
| Last Modified: | 28 Apr 2026 05:47 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/55695 |
Actions (login required)
 |
View Item |
