Open access Jurnal
Analisis Tingkat Kekumuhan Permukiman Pesisir Di Kecamatan Abeli
JAGAT (Jurnal Geografi Aplikasi dan Teknologi) · Vol. 5 No. 2 (2021) · pp. 183–190
- ISSN
- 2684-6705
- Published
- 2021-10-28
- Publisher
- Halu Oleo University
- Language
- eng
Abstract
Abstrak: Penelitian ini bertujuan untuk menentukan indeks kekumuhan permukiman pesisir dan menganalisis kondisi eksisting permukiman di Kecamatan Abeli Kota Kendari dengan menggunakan analisis deskriptif kuantitatif. Penelitian ini menggunakan metode overlay dengan memberikan penilaian pada setiap indikator kekumuhan yang telah ditetapkan oleh Dirjen Perumahan dan Permukiman seperti: kepadatan bangunan, kelayakan bangunan, aksesibilitas lingkungan, drainase lingkungan, pelayanan air bersih, pengelolaan air limbah dan pengelolaan persampahan. Hasil penelitian menunjukkan bahwa indeks kekumuhan permukiman pesisir di Kecamatan Abeli terdiri dari dua kelas yaitu kumuh sedang dan kumuh berat. Kelas kumuh sedang dengan indeks kekumuhan 2,5-3,4 terdapat di Kelurahan Pudai RT 02, Kelurahan Lapulu RT 01 dan 02, Kelurahan Poasia RT 03 dan 05, Kelurahan Talia RT 01. Kelas kumuh berat dengan indeks kekumuhan 3,5- 4,4 terdapat pada Kelurahan Pudai RT 01, Kelurahan Lapulu RT 03 dan Kelurahan Talia RT 02, 03 dan 04. kondisi eksisting untuk tingkat permukiman kumuh sedang memiliki kondisi lingkungan umumnya cenderung menengah, dimana terdapat beberapa aspek yang memiliki kesamaan dengan permukiman kumuh ringan. Kondisi kumuh berat kondidsi lingkungannya buruk, terdapat kecenderungan bahwa semakin buruk tingkat kekumuhan permukiman, maka semakin buruk pula kondisinya dengan memilki kondisi sarana dan prasarana yang tidak memadai dan kondisi lingkungan yang kurang terjaga. Kata Kunci: permukiman kumuh, tingkat kekumuhan, overlay parameter Abstract: This study aims to determine the slum index of coastal settlements and analyze the existing conditions of settlements in Kendari City Abeli District using quantitative descriptive analysis. This study uses the overlay method by giving an assessment of each slum indicator set by the Director General of Housing and Settlements such as: building density, building feasibility, environmental accessibility, environmental drainage, clean water services, waste water management and waste management. The results showed that the slum index of coastal settlements in Abeli Subdistrict consisted of two classes namely medium slums and heavy slums. Where moderate slum with 2.5-3.4 slum index found in Pudai Village RT 02, Lapulu Village RT 01 and 02, Poasia Village RT 03 and 05, Talia Village RT 01. For heavy slum classes with 3.5- slum index 4.4 is found in Pudai RT 01 Village, Lapulu Village RT 03 and Talia RT 02, 03 and 04 Village. With the existing conditions for slum settlements having moderate environmental conditions generally tend to be medium, where there are several aspects that have similarities with light slum settlements. While the condition of heavy slum conditions is poor, there is a tendency that the worse the slum level of settlements, the worse the condition is by having inadequate conditions of facilities and infrastructure and adverse environmental conditions. Keywords: slum settlement, slum level, parameter overlay
Collaboration network of the authors
40 authors · 142 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Fitra Saleh | Affiliation unknown | 4 |
| Jamal Harimudin | Affiliation unknown | 4 |
| Sawaludin Sawaludin | Affiliation unknown | 3 |
| Jufri Karim | Universitas Halu Oleo | 3 |
| Wahab Wahab | Universitas Halu Oleo | 3 |
| La Ode Restele | Affiliation unknown | 3 |
| Sarini sarini | Affiliation unknown | 2 |
| Jamal Harimuddin | Affiliation unknown | 2 |
| Anita Indriasary | Affiliation unknown | 2 |
| Ardi Ardi | Affiliation unknown | 2 |
| La Ode Alwi | Universitas Halu Oleo | 2 |
| Jahidin Jahidin | Affiliation unknown | 2 |
| Muliddin Muliddin | Affiliation unknown | 2 |
| Golok Jaya | Affiliation unknown | 2 |
| Iradat Salihin | Affiliation unknown | 2 |
| Noor Husna Khairisa | Affiliation unknown | 2 |
| Marwan Zam Mili | Affiliation unknown | 1 |
| Fais Sharfan | Affiliation unknown | 1 |
| La Tober | Affiliation unknown | 1 |
| YUnarni Yunarni | Affiliation unknown | 1 |
| Analuddin Analuddin | Universitas Halu Oleo | 1 |
| Lukman Yunus | Affiliation unknown | 1 |
| Hasbullah Syaf | Affiliation unknown | 1 |
| Ansyahrul Mukminin | Affiliation unknown | 1 |
| Hazriani Hazriani | Affiliation unknown | 1 |
| Adin Fitra Irawan | Affiliation unknown | 1 |
| La Ode Hadini | Affiliation unknown | 1 |
| Maryatun Mucolifah | Affiliation unknown | 1 |
| Marzuki Marzuki | Affiliation unknown | 1 |
| Nuning Aprilia | Affiliation unknown | 1 |
| L.O. Ngkoimani | Affiliation unknown | 1 |
| Kamrullah Kamrullah | Affiliation unknown | 1 |
| Irfan Yunandar | Affiliation unknown | 1 |
| Sulpiana Sulpiana | Affiliation unknown | 1 |
| Al Firman | Affiliation unknown | 1 |
| Ahmad Hidayat | Affiliation unknown | 1 |
| Amilusri Amilusri | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.