Open access Jurnal
Prediksi Perubahan Lahan Terbangun Dengan OBIA LCM Pada Citra Terfusi di Kota Kendari
JAGAT (Jurnal Geografi Aplikasi dan Teknologi) · Vol. 5 No. 2 (2021) · pp. 170–182
- ISSN
- 2684-6705
- Published
- 2021-10-28
- Publisher
- Halu Oleo University
- Language
- eng
Abstract
Abstrak: Penggunaan lahan disetiap tahunnya akan mengalami perubahan. Perkembangan tersebut bisa jadi tidak terkendali, sehingga perencanaan prediksi perubahan lahan penting untuk dikaji. Dalam memprediksi dapat dilakukan dengan menggunakan citra, khususnya citra Landsat. Penelitian ini bertujuan untuk: (1) distribusi penggunaan lahan terbangun di Kota Kendari pada tahun 2014 dan 2019 dengan metode OBIA pada citra terfusi; (2) melihat arah perubahan penggunaan lahan terbangun di Kota Kendari pada tahun 2024 dan 2029 dengan metode Land Change Modeler (LCM). Metode yang digunakan dalam penelitian ini yaitu metode klasifikasi penggunaan lahan berbasis piksel OBIA dan pemodelan prediksi perubahan penggunaan lahan Land Change Modeler (LCM). Hasil penelitian ini antara lain: (1) luas lahan terbangun pada tahun 2014 di Kota Kendari seluas 6.061,85 hektar dan luas penggunaan lahan terbangun di Kota Kendari pada tahun 2019 seluas 6.716,96 hektar dengan perubahan penggunaan lahan terbangun tahun 2014 sampai dengan tahun 2019 dengan pertambahan luas 2,43%; (2) Arah perubahan penggunaan lahan terbangun di Kota Kendari diprediksikan cenderung berkembang ke arah Kecamatan Baruga karena dipengaruhi oleh dua faktor yaitu kemiringan lereng dan jaringan jalan. Kata Kunci: Penggunaan Lahan, Landsat 8 OLI, Penajaman Citra, OBIA, LCM Abstract: Land use will change every year. The development may be uncontrollable, so predictive planning of land changes is important to review. In predicting can be done using imagery, especially Landsat imagery. This study aims to:(1) the distribution of land use built in Kendari City in 2014 and 2019 with OBIA method on diffusion imagery; (2) see the direction of land use changes built in Kendari City in 2024 and 2029 with land change modeler (LCM) method. The methods used in this study are OBIA pixel-based land use classification method and land use change prediction modeling land change modeler (LCM). The results of this study include: (1) land area built in 2014 in Kendari City aswide as 6,061.85 hectars and land use area built in Kendari City in 2019 aswide as 6,716.96 hectars with land use changes built in 2014 to 2019 with an increase of 2.43%; (2) The direction of land use changes built in Kendari City is predicted to tend to develop towards Baruga Subdistrict because it is influenced by two factors, namely slope and road network. Keywords: Land Use, Landsat 8 OLI, Image Sharpening, OBIA, LCM
Collaboration network of the authors
40 authors · 112 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 |
|---|---|---|
| Djafar Mey | Affiliation unknown | 8 |
| Golok Jaya | Affiliation unknown | 5 |
| Ahmad Hidayat | Affiliation unknown | 4 |
| Laode M Golok Jaya | Affiliation unknown | 3 |
| Nurgiantoro Nurgiantoro | Affiliation unknown | 3 |
| Syamsul Razak Haraty | Universitas Halu Oleo | 2 |
| Al Rubaiyn | Affiliation unknown | 2 |
| Jahidin Jahidin | Affiliation unknown | 2 |
| Derick Christopher Ambo Masse | Affiliation unknown | 1 |
| Weka Widayati | Affiliation unknown | 1 |
| Sri Hasti | Affiliation unknown | 1 |
| Salahudin Salahudin | Affiliation unknown | 1 |
| La Ode Muh. Iradat Salihin | Affiliation unknown | 1 |
| Deriyawan Deriyawan | Affiliation unknown | 1 |
| Irfan Ido | Affiliation unknown | 1 |
| Adin Fitra Irawan | Affiliation unknown | 1 |
| La Ode Hadini | Affiliation unknown | 1 |
| Wahab Wahab | Universitas Halu Oleo | 1 |
| Marzuki Marzuki | Affiliation unknown | 1 |
| La Ode Restele | Affiliation unknown | 1 |
| Muliati Muliati | Affiliation unknown | 1 |
| Isyati Andriani | Affiliation unknown | 1 |
| Suriani Suriani | Affiliation unknown | 1 |
| Jusmianto Jusmianto | Affiliation unknown | 1 |
| Laode Muh. Golok Jaya | Affiliation unknown | 1 |
| Sulpiana Sulpiana | Affiliation unknown | 1 |
| Iradat Salihin | Affiliation unknown | 1 |
| Al Firman | Affiliation unknown | 1 |
| Hacrawati Hacrawati | Affiliation unknown | 1 |
| Jamal Harimudin | Affiliation unknown | 1 |
| Amilusri Amilusri | Affiliation unknown | 1 |
| Hariyanto Arif | Affiliation unknown | 1 |
| Anitawati Anitawati | Affiliation unknown | 1 |
| La Ode, Muh Golok Jaya | Affiliation unknown | 1 |
| Safrina T Safrina T | Affiliation unknown | 1 |
| Muhammad Apdal | Affiliation unknown | 1 |
| Ikkarnila Ikkarnila | 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.