Analysis of Changes in Mangrove Land Cover in West Langsa District, Langsa

Authors

Mirza Junianto , Sugianto Sugianto , Hairul Basri

DOI:

10.29303/jppipa.v9i3.2963

Published:

2023-03-31

Issue:

Vol. 9 No. 3 (2023): March

Keywords:

Mangrove, NDVI, Remote Sensing, West Langsa District

Research Articles

Downloads

How to Cite

Junianto, M. ., Sugianto, S., & Basri, H. . (2023). Analysis of Changes in Mangrove Land Cover in West Langsa District, Langsa. Jurnal Penelitian Pendidikan IPA, 9(3), 1155–1162. https://doi.org/10.29303/jppipa.v9i3.2963
Crossref
Scopus
Google Scholar
Europe PMC

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

This study aims to analyze changes in land cover and mangrove crown density in Langsa Barat District for the period 2000-2020. The method used in this study is the maximum likelihood classification (MLC) to determine changes in mangrove land cover while determining mangrove density using the NDVI equation. Based on the results of the analysis of changes in mangrove land cover there was an increase and decrease in area. In 2000 the area of ​​mangrove land was 1,039.17 ha, then increased in area in 2005 amounted to 1.325,59 ha (27.56%).  In 2010, the mangrove area decreased by 1.145,22 ha (15.75%).  In 2015, the mangrove area increased to 1,357.10 ha (18.50%), and finally, in 2020 there was an increase in the mangrove area to 2.027.05 ha (49.37%). While the analysis of mangrove crown density using NDVI value from 2000 to 2020, the highest crown density value was in 2020 with the category of the dense crown density of 1,509.40 ha (74.46%), while the medium crown density value was recorded in 2020 namely 517.49 ha (25.53%). Meanwhile, the lowest sparse category canopy density value was recorded in 2020 with an area of ​​0.17 ha (0.01%).

References

Akar, A., Gökalp, E., Akar, & Yılmaz, V. (2017). Improving classification accuracy of spectrally similar land covers in the rangeland and plateau areas with a combination of WorldView-2 and UAV images. Geocarto International, 32(9), 990–1003. https://doi.org/10.1080/10106049.2016.1178816

Andiny, P., & Safuridar. (2019). The Role of Ecotourism in Community-Based Tourism Development (Case Study: Kuala Langsa Mangrove Forest). Niagawan, 8(2), 113-120. https://doi.org/10.24114/niaga.v8i2.14260

Annisa, A. Y. N., Pribadi, R., & Pratikto, I. (2019). Changes in Mangrove Forest Area in the Brebes and Wanasari Districts of the Brebes Regency Using Landsat Satellite Imagery in 2008, 2013, and 2018. Journal of Marine Research, 8(1), 27–35. https://doi.org/10.14710/jmr.v8i1.24323

Armanda, A., Mubarak, M., & Elizal, E. (2021). Analysis of Land Cover Changes in Mangrove Vegetation Using Landsat Image Data in Coastal, Sungai Apit District, Siak Regency, Riau Province. Asian Journal of Aquatic Sciences, 4(2), 154–162. https://doi.org/10.31258/ajoas.4.2.154-162

Barati, S., Rayegani, B., Saati, M., Sharifi, A., & Nasri, M. (2011). Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas. Egyptian Journal of Remote Sensing and Space Science, 14(1), 49–56. https://doi.org/10.1016/j.ejrs.2011.06.001

Basyuni, M., Hamzah, Rahayu, S., & Siregar, U. J. (2012). Pengaruh Aktivitas Antropogenik terhadap Keragaman Genetik Rhizophora mucronata Lamk. di Hutan Mangrove Secanggang, Sumatera Utara (Effect of Anthropogenic Activities on Genetic Variation of Rhizophora mucronata Lamk. in Secanggang Mangrove Forest, North. Indonesian Journal of Forestry, 1(2), 41–48. Retrieved from https://jurnal.usu.ac.id/index.php/foresta/article/view/1581

Central Bureau of Statistics. (2010). Langsa Barat District in Figures 2010. Langsa City.

Central Bureau of Statistics. (2011). Langsa Barat District in Figures 2011. Langsa City.

Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., Zhang, W., Tong, X., & Mills, J. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 7–27. https://doi.org/10.1016/j.isprsjprs.2014.09.002

Waas, H. J., & Nababan, B. (2010). Mapping and Index Vegetation Analyses of Mangrove in Saparua Island, Central Moluccas. Jurnal Ilmu dan Teknologi Kelautan Tropis, 2(1). 50–58. https://doi.org/10.29244/jitkt.v2i1.7862

Danoedoro, P. (1996). Pengantar Penginderaan Jauh Digital. Yogyakarta: PUSPICS Fakultas Geografi Universitas Universitas Gadjah Mada.

Dwiprabowo, H., Djaenudin, D., Alviya, I., & Wicaksono, D. (2014). Land Cover Dynamics: Influence of Socioeconomic Factors. PT Kanisius (Issue May).

Fahreza, F. D., Aulia, A., Fauzan, F. S., Somantri, L., & Ridwana, R. (2022). Pemanfaatan Citra Sentinel-2 dengan Metode NDVI untuk Perubahan Kerapatan Vegetasi Mangrove di Kabupaten Indramayu. Jurnal Pendidikan Geografi Undiksha, 10(2), 155-165. Retrieved from https://ejournal.undiksha.ac.id/index.php/JJPG/article/view/42645

Febrianto, S., Syafina, H. A., Latifah, N., & Muskananfola, M. R. (2022). Dynamics of Changes in the Area and Density of Mangrove Ecosystems in the Sembilang National Park Area Using Landsat Satellite Imagery 8. Tropical Marine Journal. 25(3), 369–377. https://doi.org/10.14710/jkt.v25i3.14909

Hartini, S. (2013). Keanekaragaman Flora di Kawasan Mangrove Desa Wakai dan Desa Taningkola, Kecamatan Una Una, Kabupaten Tojo Una Una, Sulawesi Tengah. Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup, 13(2), 1-7. Retrieved from https://journal.unpak.ac.id/index.php/ekologia/article/view/149

Hendrawan., Gaol, J. L., & Susilo, S. B. (2018). Density Study and Mangrove Cover Change Using Satellite Imagery on Sebatik Island, North Kalimantan. Jurnal Ilmu Dan Teknologi Kelautan Tropis, 10(1), 99–109. https://doi.org/10.29244/jitkt.v10i1.18595

Hua-lou, L., Yun-long, C., & Jun, W. (2000). Sustainability evaluation of land use in development zone: The case of Kunshan. ACTA GEOGRAPHICA SINICA-CHINESE EDITION, 55(6), 719–728. https://doi.org/10.11821/xb200006009

Irawan, A., Si, M., Agussalim, A., & Sc, M. (2019). Analisis Perubahan Luasan dan Kerapatan Mangrove Menggunakan Data Citra Satelit Spot di Pesisir Teluk Pandan Kabupaten Pesawaran Provinsi Lampung. JPS: Jurnal Penelitian Sains, 21(1), 51–60. Retrieved from http://ejurnal.mipa.unsri.ac.id/index.php/jps/article/view/529

Kurniawansyah, A., Masita, D. M. M., & Hartati, A. P. (2022). Area and Density of mangrove ecosystem in Cilamaya Wetan District, Karawang Regency. Majalah Geografi Indonesia, 37(1), 30–39. https://doi.org/10.22146/mgi.75345

Long, J. B., & Giri, C. (2011). Mapping the Philippines’ mangrove forests using Landsat imagery. Sensors, 11(3), 2972–2981. https://doi.org/10.3390/s110302972

Maryantika, N., & Lin, C. (2017). Exploring changes of land use and mangrove distribution in the economic area of Sidoarjo District, East Java using multi-temporal Landsat images. Information Processing in Agriculture, 4(4), 321–332. https://doi.org/10.1016/j.inpa.2017.06.003

Maulani, A., Taufiq-SPJ, N., & Pratikto, I. (2021). Changes in Mangrove Land on the Muara Gembong Coast, Bekasi, West Java. Journal of Marine Research, 10(1), 55–63. https://doi.org/10.14710/jmr.v10i1.28396

Purwanto, A. D., Asriningrum, W., Winarso, G., & Parwati, E. (2014). Analisis sebaran dan kerapatan mangrove menggunakan citra Landsat 8 di Segara Anakan, Cilacap. In Prosiding Seminar Nasional Penginderaan Jauh 2014, 232-241. Retrieved from http://repositori.lapan.go.id/id/eprint/1525

Ratnasari, D., & Sukojo, B. M. (2018). Analisa Kondisi Ekosistem Mangrove Menggunakan Data Citra Satelit Multitemporal dan Multilevel (Studi Kasus: Pesisir Utara Surabaya). Jurnal Teknik ITS, 6(2), A550-A554. http://dx.doi.org/10.12962/j23373539.v6i2.24175

Sari, Y. P., Salampessy, M. L., & Lidiawati, I. (2018). Persepsi masyarakat pesisir dalam pengelolaan ekosistem hutan mangrove di Muara Gembong Bekasi Jawa Barat. Perennial, 14(2), 78–85. https://doi.org/10.24259/perennial.v14i2.5303

Setiawan, D., & Zaitunah, A. S. (2016). Analisis Perubahan Penutupan Kawasan Hutan Mangrove Di Kecamatan Langsa Barat Kota Langsa Tahun 1990, 2000 Dan 2015. Peronema Forestry Science Journal, 5(1), 191–203. Retrieved from https://jurnal.usu.ac.id/index.php/PFSJ/article/view/14110

Syamsu, I. F., Nugraha, A. Z., Nugraheni, C. T., & Wahwakhi, S. (2018). Study of land cover change in the mangrove ecosystem of the east coast of Surabaya. Media Konservasi. 13(2), 122–131. Retrieved from https://journal.ipb.ac.id/index.php/konservasi/article/view/23702

Widyantara, A. P., & Solihuddin, T. (2020). Pemetaan perubahan luasan lahan mangrove di pesisir probolinggo menggunakan citra satelit. Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital, 17(2). 75-87. Retrieved from http://karya.brin.go.id/id/eprint/11779/

Zhu, B., Liao, J., & Shen, G. (2021). Combining time series and land cover data for analyzing Spatio-temporal changes in mangrove forests: A case study of Qinglangang Nature Reserve. Ecological Indicators, 131, 108135. https://doi.org/10.1016

/j.ecolind.2021.108135

Author Biographies

Mirza Junianto, Universitas Syiah Kuala

Sugianto Sugianto, Syiah Kuala University

Hairul Basri, Syiah Kuala University

License

Copyright (c) 2023 mirza_81 junianto

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. 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 acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. 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).