Article Per Year (5 Year)
p-Index From 2021 - 2026
2.837
P-Index
This Author published in this journals
All Journal Jurnal Pembangunan Wilayah dan Kota Jurnal Ilmiah Pangabdhi Journal of Geoscience, Engineering, Environment, and Technology JAGAT (Jurnal Geografi Aplikasi dan Teknologi) CENDEKIA : Jurnal Ilmu Pengetahuan Sustainability: Theory, Practice and Policy/STPP Jurnal Rekayasa Geofisika Indonesia
Sawaludin
Department Of Geography, Halu Oleo University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Physics Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
KORELASI NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DAN TUTUPAN KANOPI PADA EKOSISTEM MANGROVE DI TELUK KENDARI Herman, Boi; Sawaludin, Sawaludin; Tahir, Tahir; Alfiyan, Arif Nur; Alfirman, Alfirman
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v6i2.9045

Abstract

Mangrove ecosystems play a crucial role in maintaining coastal environmental stability, requiring accurate spatial information on their distribution, density, and canopy cover conditions. This study aims to assess the extent and spatial distribution of mangrove ecosystems, vegetation density levels, canopy cover conditions, and the relationship between Normalized Difference Vegetation Index (NDVI) values and mangrove canopy cover percentages in the coastal area of Kendari City. Mangrove distribution and density were analyzed using Sentinel-2A imagery through the NDVI approach, while canopy cover was measured using the Hemispherical Photography method processed with ImageJ software. Satellite imagery was obtained from the Copernicus platform, and a total of 33 sampling stations or plots were determined based on mangrove density classification criteria. The results indicate that the total mangrove area along the coast of Kendari City is approximately 275.67 hectares, distributed across eight sub-districts. NDVI analysis classified mangrove vegetation into three density categories: low density covering 30.69 ha, medium density covering 68.28 ha, and high density covering 176.70 ha. Mangrove canopy cover varied in accordance with vegetation density, ranging from 16.56% to a maximum of 88.08%. Correlation analysis revealed a very strong relationship between NDVI values and canopy cover percentage, with a correlation coefficient (r) of 0.93. These findings demonstrate that Sentinel-2A-derived NDVI is a reliable indicator for estimating mangrove canopy cover conditions in coastal environments. ABSTRAKEkosistem mangrove memiliki peran penting dalam menjaga keseimbangan ekologi pesisir, sehingga diperlukan informasi spasial yang akurat terkait sebaran, kerapatan, dan kondisi tutupan tajuknya. Penelitian ini bertujuan untuk menganalisis luas dan distribusi ekosistem mangrove, tingkat kerapatan vegetasi, kondisi tutupan kanopi, serta hubungan antara nilai Normalized Difference Vegetation Index (NDVI) dan persentase tutupan tajuk mangrove di wilayah pesisir Kota Kendari. Analisis kerapatan dan sebaran mangrove dilakukan menggunakan citra Sentinel-2A melalui pendekatan NDVI, sedangkan tutupan kanopi dianalisis menggunakan metode Hemispherical Photography yang diolah dengan perangkat lunak ImageJ. Data citra diperoleh dari laman Copernicus, kemudian ditentukan sebanyak 33 stasiun atau plot sampel berdasarkan klasifikasi tingkat kerapatan mangrove. Hasil penelitian menunjukkan bahwa total luasan mangrove di pesisir Kota Kendari mencapai sekitar 275,67 hektar yang tersebar di delapan kecamatan. Berdasarkan nilai NDVI, ekosistem mangrove diklasifikasikan ke dalam tiga tingkat kerapatan, yaitu kerapatan rendah seluas 30,69 ha, kerapatan sedang 68,28 ha, dan kerapatan tinggi 176,70 ha. Persentase tutupan tajuk mangrove bervariasi mengikuti tingkat kerapatan vegetasi, dengan nilai tertinggi sebesar 88,08% dan terendah 16,56%. Analisis korelasi menunjukkan hubungan yang sangat kuat antara nilai NDVI dan persentase tutupan kanopi dengan koefisien korelasi (r) sebesar 0,93. Temuan ini menegaskan bahwa NDVI citra Sentinel-2A dapat digunakan secara efektif untuk menduga kondisi tutupan kanopi mangrove di wilayah pesisir.
Komparasi Metode Indeks Spektral untuk Analisis Spasial Lahan Terbangun di Kota Kendari Nusriah, Ld. Asyravil Maolana; Nurgiantoro, Nurgiantoro; Fitriani, Fitriani; Tahir, Tahir; Sawaludin, Sawaludin; Alfirman, Alfirman
Jurnal Pembangunan Wilayah dan Kota Vol 22, No 1 (2026): JPWK Volume 22 No. 1 March 2026
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v22i1.78218

Abstract

Pengindraan jauh merupakan teknologi yang banyak dimanfaatkan dalam analisis spasial, khususnya untuk pemetaan lahan terbangun dengan menggunakan indeks spektral. Penelitian ini bertujuan untuk mengkomparasikan tiga indeks lahan terbangun dengan menggunakan citra Landsat 8 OLI/TIRS tahun 2023. Metode analisis yang digunakan untuk menganalisis lahan terbangun terdiri dari Urban Index (UI), Normalized Difference Built-Up Index (NDBI), dan Visible Red Near Infrared-Built Up Index (VrNIR-BI) yang memiliki perbedaan pada penggunaan saluran dan formulasi perhitungan, serta mengkorelasikan dengan Land Surface Temperature (LST).  Hasil penelitian menunjukkan indeks VrNIR-BI memiliki akurasi tertinggi dengan nilai kappa sebesar 96,59%, sedangkan NDBI memiliki korelasi tertinggi dengan LST dengan nilai R² sebesar 0,5729. Berdasarkan hasil tersebut,  VrNIR-BI direkomendasikan untuk analisis akurasi tinggi, sedangkan NDBI lebih sesuai untuk analisis terkait suhu permukaan. Sehingga dapat digunakan sebagai pengendalian perkembangan kawasan terbangun dalam pembangunan perkotaan
KORELASI NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DAN TUTUPAN KANOPI PADA EKOSISTEM MANGROVE DI TELUK KENDARI Boi Herman; Sawaludin Sawaludin; Tahir Tahir; Arif Nur Alfiyan; Alfirman Alfirman
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v6i2.9045

Abstract

Mangrove ecosystems play a crucial role in maintaining coastal environmental stability, requiring accurate spatial information on their distribution, density, and canopy cover conditions. This study aims to assess the extent and spatial distribution of mangrove ecosystems, vegetation density levels, canopy cover conditions, and the relationship between Normalized Difference Vegetation Index (NDVI) values and mangrove canopy cover percentages in the coastal area of Kendari City. Mangrove distribution and density were analyzed using Sentinel-2A imagery through the NDVI approach, while canopy cover was measured using the Hemispherical Photography method processed with ImageJ software. Satellite imagery was obtained from the Copernicus platform, and a total of 33 sampling stations or plots were determined based on mangrove density classification criteria. The results indicate that the total mangrove area along the coast of Kendari City is approximately 275.67 hectares, distributed across eight sub-districts. NDVI analysis classified mangrove vegetation into three density categories: low density covering 30.69 ha, medium density covering 68.28 ha, and high density covering 176.70 ha. Mangrove canopy cover varied in accordance with vegetation density, ranging from 16.56% to a maximum of 88.08%. Correlation analysis revealed a very strong relationship between NDVI values and canopy cover percentage, with a correlation coefficient (r) of 0.93. These findings demonstrate that Sentinel-2A-derived NDVI is a reliable indicator for estimating mangrove canopy cover conditions in coastal environments. ABSTRAKEkosistem mangrove memiliki peran penting dalam menjaga keseimbangan ekologi pesisir, sehingga diperlukan informasi spasial yang akurat terkait sebaran, kerapatan, dan kondisi tutupan tajuknya. Penelitian ini bertujuan untuk menganalisis luas dan distribusi ekosistem mangrove, tingkat kerapatan vegetasi, kondisi tutupan kanopi, serta hubungan antara nilai Normalized Difference Vegetation Index (NDVI) dan persentase tutupan tajuk mangrove di wilayah pesisir Kota Kendari. Analisis kerapatan dan sebaran mangrove dilakukan menggunakan citra Sentinel-2A melalui pendekatan NDVI, sedangkan tutupan kanopi dianalisis menggunakan metode Hemispherical Photography yang diolah dengan perangkat lunak ImageJ. Data citra diperoleh dari laman Copernicus, kemudian ditentukan sebanyak 33 stasiun atau plot sampel berdasarkan klasifikasi tingkat kerapatan mangrove. Hasil penelitian menunjukkan bahwa total luasan mangrove di pesisir Kota Kendari mencapai sekitar 275,67 hektar yang tersebar di delapan kecamatan. Berdasarkan nilai NDVI, ekosistem mangrove diklasifikasikan ke dalam tiga tingkat kerapatan, yaitu kerapatan rendah seluas 30,69 ha, kerapatan sedang 68,28 ha, dan kerapatan tinggi 176,70 ha. Persentase tutupan tajuk mangrove bervariasi mengikuti tingkat kerapatan vegetasi, dengan nilai tertinggi sebesar 88,08% dan terendah 16,56%. Analisis korelasi menunjukkan hubungan yang sangat kuat antara nilai NDVI dan persentase tutupan kanopi dengan koefisien korelasi (r) sebesar 0,93. Temuan ini menegaskan bahwa NDVI citra Sentinel-2A dapat digunakan secara efektif untuk menduga kondisi tutupan kanopi mangrove di wilayah pesisir.
ANALISIS PERUBAHAN GARIS PANTAI DI WILAYAH PESISIR KECAMATAN SOROPIA Rahmat Ucok; Sawaludin Sawaludin; Nurgiantoro Nurgiantoro
Sustainability: Theory, Practice and Policy Vol. 4 No. 1 (2024): Sustainability: Theory, Practice and Policy June Edition
Publisher : Pusat Kajian Berkelanjutan UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/sdgs.v4i1.2616

Abstract

The coastal environment is a dynamic area constantly undergoing changes due to various natural and anthropogenic factors. These changes can occur slowly or rapidly, influenced by elements such as wave action, tides, human activities, and climatic events. Monitoring these changes is essential for effective coastal management. This study aims to: (1) Analyze changes in coastlines in Soropia Sub-district between 2013 and 2022; and (2) Identify the factors influencing these changes. Landsat 8 imagery was used for this research, analyzed using the Overlay method to detect and quantify coastal changes over the nine-year period. The results indicate that four areas in Soropia Sub-district experienced significant coastline changes. The most substantial accretion occurred in Bajo Indah Village with a change of 130 meters, while the smallest accretion was observed in Toronipa Village with a change of 26 meters. Toronipa Village also experienced minor abrasion with a change of 0.3 meters. The factors influencing these changes include sediment accumulation, currents, wave height, and reclamation activities. This study provides valuable insights into coastal dynamics in Soropia Sub-district and highlights the importance of continuous monitoring and comprehensive analysis to inform future coastal management strategies.
Co-Authors Ahmad Hidayat Alfirman Alfirman Alfirman, Alfirman Alfiyan, Arif Nur Ali Okto Anita Indriasary Anita Indriasary Aprilia, Nuning Arif Arif Arif Nur Alfiyan Bahir, Nitrawati Boi Herman Erzam S. Hasan Febiyanti Fitriani Fitriani Fitriani, Sani Golok Jaya, La Ode Muhammad Halija, Sitti Hasria Hasria Hasria Hasria Hasria Herman, Boi Ida Usman IDA USMAN Ido, Irfa Ido, Irfan Indriasary, Anita Insani, Wa Ode Nur Irawati Irawati Jamal Harimudin Jayawarsa, A.A. Ketut Jufri Karim L M Iradat Salihin La Hamimu La Hamimu La Ode Andi Gusman La Ode Andimbara La Ode Ngkoimani Lukman Yunus, Lukman Martono Masri Masri Moh. Nur Ihsan Manaf Muhamad Sugito Muhammad Arba Azzaman Muliddin Noor Husna Khairisa Nurgiantoro Nurgiantoro Nurgiantoro, Nurgiantoro Nusriah, Ld. Asyravil Maolana Padarlan Padarlan Rafsenja, Ulfah Rahmat Ucok Rahmat Ucok Ratna Ratna Restele, La Ode Romanti Aulia, Weko Indira Saban Rahim Saputu, Muh. Sumitran Suryawan Asfar Tahir Tahir Tahir Tahir Tahir, Tahir Wahab Weka Widayati Weka Widayati, Weka Weko Indira Romanti Aulia