ANALISIS TOPOLOGI DAN POPULASI PENDUDUK PEMUKIMAN MISKIN MENGGUNAKAN TEKNOLOGI REMOTE SENSING

  • Aniati Murni Arymurthy Fakultas Ilmu Komputer, Universitas Indonesia
  • Edina Putri Purwandari Fakultas Ilmu Komputer, Universitas Indonesia
DOI: https://doi.org/10.21609/jsi.v6i1.275
Keywords: pemukiman miskin, remote sensing, sistem informasi geografis, poor housing, geographic information systems

Abstract

Wilayah perkotaan di Indonesia memiliki karakteristik yang sama dengan wilayah perkotaan di negara-negara berkembang. Beberapa karakteristik tersebut seperti: (1) penurunan fungsi alam dengan berkurangnya ruang hijau atau vegetasi, (2) penumpukan bangunan beratap pada wilayah yang dekat dengan akses transportasi, industri dan pasar, (3) lokasi pemukiman pada zona yang berbahaya karena dekat dengan terminal, sepanjang aliran sungai, sepanjang jalur rel kereta api, dan tempat pembuangan sampah akhir. Keterkaitan antara nilai indeks kemiskinan dengan morfologi fisik dan vegetasi suatu wilayah dapat diketahui dengan pemanfaatan teknologi remote sensing (RS). Keakuratan analisis pemukiman miskin dengan teknologi RS bergantung pada kualitas citra satelit Very High Resolution (VHR) dan kelengkapan dataset Sistem Informasi Geografis (SIG). Teknologi Geospasial yang terintegrasi seperti RS, SIG, dan Global Positioning System (GPS) dapat berkontribusi secara interaktif dalam penilaian, pemahaman dan pemetaan untuk memecahkan masalah pemukiman penduduk yang kompleks di Indonesia. Urban areas in Indonesia have the same characteristics with urban areas in developing countries. Some characteristics such as: (1) decreased of the function of nature with the reduced the number of natural green space or vegetation, (2) accumulation of roofed buildings in the area close to transportation access, industry and market, (3) the location of housing in the dangerous zone as close to the terminal, along the river side, along the railway lines, and the final waste disposal sites. The linkage between poverty index values with the physical morphology and vegetation of an area can be identified by the use of technology and remote sensing (RS). The accuracy of the analysis of poor housing with RS technology relies on the image quality of Very High Resolution (VHR) satellite and the completeness of the dataset Geographic Information Systems (GIS). Geo-spatial technologies are integrated as RS, GIS, and Global Positioning System (GPS) can contribute interactively in the assessment, understanding and mapping to solve the complex problem of residential in Indonesia.

Downloads

Download data is not yet available.
Published
2012-07-15
How to Cite
Arymurthy, A. M., & Purwandari, E. P. (2012). ANALISIS TOPOLOGI DAN POPULASI PENDUDUK PEMUKIMAN MISKIN MENGGUNAKAN TEKNOLOGI REMOTE SENSING. Jurnal Sistem Informasi, 6(1), 20-31. https://doi.org/10.21609/jsi.v6i1.275
Issue
Vol. 6 No. 1 (2010): Jurnal Sistem Informasi (Journal of Information System)
Section
Articles

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).