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Estimasi Tutupan Kanopi Berdasarkan NDVI dan Kondisi Tutupan Tajuk Pada Ekosistem Mangrove Negeri Passo, Teluk Ambon Dalam Pietersz, Janson Hans; Pribadi, Rudhi; Pentury, Reinhardus; Ario, Raden
Jurnal Kelautan Tropis Vol 27, No 2 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i2.22090

Mangrove canopy cover plays an important role in maintaining and protecting environmental stability in coastal areas, namely as a habitat for various terrestrial species and as protection from direct exposure to ultraviolet light on associated aquatic organisms. Mangrove canopy cover is important in protecting coastal areas from strong winds. This research aims to analyze the condition of the mangrove area, the condition of canopy cover based on the NDVI value and the percentage value of canopy closure, and the relationship between NDVI and percentage canopy closure. Sentinel-2B image data was processed using QGIS 3.28.13 and ArcGIS 10.8 software. Maximum likelihood classification is used to separate mangrove delineation from other objects, and an accuracy test is carried out using a confusion matrix to test the accuracy of the classification results. Observations were determined using a purposive sampling method, and canopy closure data was collected using a simple hemispherical photography method. The condition of canopy cover was analyzed based on NDVI calculations and calculation of the percentage of canopy closure, which was carried out using image-j software and Microsoft Excel 2010. The analysis showed that ten types of mangroves included seven families and eight genera with a mangrove area of 21.66 ha. 62.70% of the mangrove area has a canopy cover condition based on the NDVI value, which is very dense. Also, 50% of observation stations have a canopy cover condition based on the canopy cover percentage value, which is still classified as dense. The correlation between the NDVI value and the percentage value of mangrove canopy cover has a unidirectional relationship and a very strong relationship with a correlation coefficient r of 0.949. Tutupan Kanopi mangrove sangat berperan penting dalam menjaga dan melindungi kestabilan lingkungan pada wilayah pesisir, yaitu sebagai habitat bagi berbagai macam spesies terestrial dan juga sebagai pelindung dari terpaan sinar ultraviolet secara langsung terhadap organisme perairan yang berasosiasi, tutupan kanopi mangrove juga sangat berperan penting dalam menjaga dan melindungi wilayah pesisir dari terpaan angin kencang. Penelitian ini bertujuan untuk menganalisis kondisi luasan mangrove, kondisi tutupan kanopi berdasarkan nilai NDVI dan nilai persentase tutupan tajuk mangrove, serta menganalisis hubungan NDVI dan persentase tutupan tajuk. Pengolahan data citra Sentinel-2B dilakukan dengan menggunakan software QGIS 3.28.13 dan ArcGIS 10.8. klasifikasi maximum likelihood digunakan untuk memisahkan delineasi mangrove dengan objek lainnya dan dilakukan uji akurasi dengan menggunakan confusion matrix untuk menguji keakuratan hasil klasifikasi. Penentuan stasiun pengamatan dilakukan dengan menggunakan metode purposive sampling serta pengambilan data tutupan tajuk dilakukan dengan menggunakan metode hemispherical photography sederhana. Kondisi tutupan kanopi dianalisis berdasarkan perhitungan NDVI dan perhitungan persentase tutupan tajuk mangrove yang dilakukan dengan menggunakan bantuan software image-j dan Microsoft Excel 2010. Hasil analisis menunjukkan bahwa dapat ditemukan 10 jenis mangrove yang terdiri dari 7 famili dan 8 genera dengan luasan mangrove sebesar 21,66 ha. 62,70% luasan mangrove memiliki Kondisi tutupan kanopi berdasarkan nilai NDVI tergolong sangat padat dan 50% stasiun pengamatan memiliki kondisi tutupan kanopi berdasarkan nilai persentase tutupan tajuk masih tergolong padat. Hubungan korelasi antara nilai NDVI dan nilai persentase tutupan tajuk mangrove memiliki hubungan korelasi searah dan memiliki hubungan yang sangat kuat dengan koefisien korelasi r sebesar 0,949.

Determination of chlorophyll-a and its distribution in the waters of the mangrove forest rehabilitation area in Mojo Estuaria, Pemalang Maharani, Galung Dhiva; Indarjo, Agus; Hadibarata, Tony; Zainuri, Muhammad; Endrawati, Hadi; Redjeki, Sri; Pribadi, Rudhi; Rochaddi, Baskoro; Ismanto, Aris; Jihadi, Muhammad Shulhan
Jurnal Kelautan Tropis Vol 27, No 2 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i2.23253

Pemalang Regency has a mangrove area of around 2,839.44 but has been damaged reaching 453.38 Ha or about 16% of the existing area. This causes ecological functions in resisting abrasion, erosion, sedimentation, and carbon capture to decrease. Government efforts to restore the function of mangroves on the North Coast of Central Java carried out by rehabilitation require input from a water productivity approach. This study aims to determine the content and distribution of chlorophyll-a found in Pemalang Waters, Central Java. This was done by in situ observations in Pemalang Waters to see the fertility level of the waters, by purposive sampling at 20 sampling site, on April 30, 2024. The results obtained will be interpolated with ex situ data, including the Indonesian Earth Map (RBI), tidal data obtained from the SRGI website, flow data obtained from the Batnas website, and wind data obtained from the BMKG website. The next geospatial approach is ODV 4, Ms.Excel, and WR Plot application mapping; current analysis will be performed using ArcGIS 10.8 and Mike 21 applications; while the tidal analysis is carried out by the Admiralty method. The results of research conducted in Mojo Waters, Pemalang showed that the range of chlorophyll-a values was in the range of 1,858 - 41,287 mg / m3. The results were analyzed in sampling areas including rivers, estuaries, lagoons, eastern drift currents, western drift currents, waters still affected by estuaries, and the high seas. The distribution of chlorophyll values in these waters is the impact of nutrient supply from land because it is closely related to human activities, freshwater and seawater resuspension, drift currents, breaking waves, tidal currents. This causes the distribution pattern to occur from northeast to southwest.

Litter Productivity Dynamics in Segara Anakan Mangrove Forest, Cilacap, Indonesia Kresnasari, Dewi; Zainuri, Muhammad; Muskananfola, Max Rudolf; Pribadi, Rudhi; Wiarta, Rinto
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 30, No 1 (2025): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.30.1.152-162

Mangrove litter is a critical component of the nutrient cycle, reflecting soil fertility and water quality within the mangrove ecosystem. This study investigates the dynamics of litter productivity in the Segara Anakan mangrove forest in Cilacap. The study area is divided into two locations with three points, with five litter traps installed at each point. Sonneratia caseolaris dominates vegetation characteristics at Station 1, while Station 2 has more diverse vegetation, including Sonneratia caseolaris, Aegiceras corniculatum, Acanthus ilicifolius, Derris trifoliata, Rhizophora mucronata, Avicennia alba, and Avicennia marina. Sampling follows seasonal changes in Indonesia, covering June 2023 to March 2024. The primary data for this study include aboveground litterfall production, estimated using litter traps, and the litter layer on the forest floor collected through soil transects. Secondary data comprise weather measurements, including air temperature, rainfall, wind speed, and humidity. Litterfall and litter layer were collected four times: June (dry season), September (transition from dry to rainy season), December (rainy season), and March (transition from rainy to dry season). The results indicate a total litter productivity of 18.99 tonnes ha-1 yr-1. The lowest litter production was observed in September, while the highest was in March. Leaf litter contributed the most, accounting for 71.49%, followed by twigs at 19.19%, flowers/fruits at 8.31%, stipules at 0.62%, and the lowest portion from other unidentified materials at 0.39%. Litter productivity shows a strong correlation (0.99) with rainfall. The main factors influencing litter productivity include environmental factors, primarily rainfall, and physiological factors, such as flowering and fruiting phenology.

Blue carbon dynamics and mangrove extent: a case study from the IndonesiaTimor Leste Coastal ecosystem Sitanggang, Wanri; Wijayanti, Diah Permata; Pribadi, Rudhi; Suryono, Chrisna Adhi; Pitaloka, Maria Dyah Ayu; Naitkakin, Egidius; Soares, Daniel Candido Da Costa; Pramudya, Herning; Kiuk, Yosni
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46912

Around 20% of mangrove forests in Indonesia are in a degraded condition, which has a negative impact on the potential for blue carbon storage. When mangroves are damaged or degraded, carbon stored in the soil and vegetation can be released back into the atmosphere as CO2, ultimately increasing greenhouse gas emissions and exacerbating climate change. Mangrove forests can store up to four times more carbon per hectare, around 8001,200 tons per hectare, than terrestrial tropical forests. This research was conducted in the Wini mangrove forest area, North Central Timor, East Nusa Tenggara (NTT) which directly borders Timor Leste. The determination of the location of the observation station was based on a map of changes in mangrove forest land use obtained from the Geospatial Information Agency. The parameters measured included organic carbon, mangrove area and sediment type. Organic carbon was analyzed using the Loss on Ignition (LOI) method, and sediment grain size was measured using a particle size analyzer. The results of the study showed that the average organic carbon stock in mangrove forests reached 570,600843,600 tons per hectare, with an average change in the area of mangrove forests from 2013 to 2023 of 181.29 hectares and the type of sediment dominated by sandy mud. This change in area is caused by the conversion of mangrove land into ponds, rice fields, and settlements.Keywords:MangroveCarbonSedimentborder Area

Blue carbon dynamics and mangrove extent: a case study from the IndonesiaTimor Leste Coastal ecosystem Sitanggang, Wanri; Wijayanti, Diah Permata; Pribadi, Rudhi; Suryono, Chrisna Adhi; Pitaloka, Maria Dyah Ayu; Naitkakin, Egidius; Soares, Daniel Candido Da Costa; Pramudya, Herning; Kiuk, Yosni
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46912

Around 20% of mangrove forests in Indonesia are in a degraded condition, which has a negative impact on the potential for blue carbon storage. When mangroves are damaged or degraded, carbon stored in the soil and vegetation can be released back into the atmosphere as CO2, ultimately increasing greenhouse gas emissions and exacerbating climate change. Mangrove forests can store up to four times more carbon per hectare, around 8001,200 tons per hectare, than terrestrial tropical forests. This research was conducted in the Wini mangrove forest area, North Central Timor, East Nusa Tenggara (NTT) which directly borders Timor Leste. The determination of the location of the observation station was based on a map of changes in mangrove forest land use obtained from the Geospatial Information Agency. The parameters measured included organic carbon, mangrove area and sediment type. Organic carbon was analyzed using the Loss on Ignition (LOI) method, and sediment grain size was measured using a particle size analyzer. The results of the study showed that the average organic carbon stock in mangrove forests reached 570,600843,600 tons per hectare, with an average change in the area of mangrove forests from 2013 to 2023 of 181.29 hectares and the type of sediment dominated by sandy mud. This change in area is caused by the conversion of mangrove land into ponds, rice fields, and settlements.Keywords:MangroveCarbonSedimentborder Area

The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Jurnal Ilmiah Perikanan dan Kelautan Vol. 16 No. 1 (2024): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v16i1.43935

Abstract Mangrove forests in Timbulsloko and Bedono have very dynamic conditions, due to tidal flooding and land subsidence that occur in these areas. Meanwhile, mangrove forests in the Timbulsloko and Bedono Village play an important role in preventing abrasion which often occurs in these areas. The importance of the mangroves function in this area makes it crucial to monitor their condition. Monitoring the condition of mangroves can be done by looking at their density through the vegetation index. Therefore, this study aimed to determine the best vegetation index to be used in the Timbulsloko and Bedono villages to monitor mangroves in 2016-2018, 2020, and 2022. The method in this research consisted of two stages, namely sentinel 2 image processing and the field survey. Image processing was used to determine the condition of mangroves based on several vegetation indices. Meanwhile, data collection in the field was utilized to validate several vegetation indices used in this study and conducted with the hemispherical photography method. Linear regression analysis was used to determine the most suitable vegetation index to be applied in the study area. The study found that NDVI vegetation index had the highest accuracy value, followed by SAVI, EVI, and MVI. The use of NDVI to see the changes in mangrove conditions showed an increase in the total area in each category. So, it can be concluded that the area and density of mangrove forests in the Bedono and Timbulsloko villages increased every year. Highlight Research Mangroves in each region have different canopy density values. The use of the mangrove vegetation index will produce different accuracy values in different areas. LAI has a very strong relationship with the NDVI. The addition of area in the sparse mangrove category can be an indication of mangrove planting at the most recent time. In general, the research outcome will be valuable recommendation for mangrove rehabilitation in current target area.

Dynamics of mangrove species dominant area changes in Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 2 (2023): AUGUST 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.2.32538

Mangrove forests in Timbulsloko and Bedono villages have very important benefits in minimizing abrasion, due to tidal flooding and land absorption in this area. A large number of people have planted mangroves to restore the function of mangrove forests in coastal areas which conducted by NGOs, students, government agencies, and awareness from local residents. This study aimed to determine the dynamics of mangrove area and mangrove species dominant area changes in 2016, 2018, 2020 and 2022 based on Sentinel-2 Satellite Imagery processing, and to analyze the dynamic changes based on geospatial analysis. The method used in this study is divided into two: satellite imagery data processing and field survey. The result showed that the area of mangrove species in Timbulsloko and Bedono increased from 2016 to 2022. In 2016 the area of mangroves was 140.04 ha, 159.57 ha in 2018, 171.05 ha in 2020, and 234.8 ha in 2022. The use of Sentinel 2 Satellite Imagery to map the distribution of mangrove species dominant produce overall accuracy of 84.62%. The mangrove species with the highest area are Avicennia marina followed by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronate. The increase in this area of mangroves in this area is due to natural additions and artificial additions due to mangrove planting conservation by several parties and the awareness of the local residents to protect mangroves.Keywords:Mangrove SpeciesDynamicsCoastal AreaSentinel 2Remote Sensing

Dynamics of mangrove species dominant area changes in Timbulsloko and Bedono, Demak Aulia, Zahra Safira; Pribadi, Rudhi; Helmi, Muhammad
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 2 (2023): AUGUST 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.2.32538

Mangrove forests in Timbulsloko and Bedono villages have very important benefits in minimizing abrasion, due to tidal flooding and land absorption in this area. A large number of people have planted mangroves to restore the function of mangrove forests in coastal areas which conducted by NGOs, students, government agencies, and awareness from local residents. This study aimed to determine the dynamics of mangrove area and mangrove species dominant area changes in 2016, 2018, 2020 and 2022 based on Sentinel-2 Satellite Imagery processing, and to analyze the dynamic changes based on geospatial analysis. The method used in this study is divided into two: satellite imagery data processing and field survey. The result showed that the area of mangrove species in Timbulsloko and Bedono increased from 2016 to 2022. In 2016 the area of mangroves was 140.04 ha, 159.57 ha in 2018, 171.05 ha in 2020, and 234.8 ha in 2022. The use of Sentinel 2 Satellite Imagery to map the distribution of mangrove species dominant produce overall accuracy of 84.62%. The mangrove species with the highest area are Avicennia marina followed by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronate. The increase in this area of mangroves in this area is due to natural additions and artificial additions due to mangrove planting conservation by several parties and the awareness of the local residents to protect mangroves.Keywords:Mangrove SpeciesDynamicsCoastal AreaSentinel 2Remote Sensing

Total Suspended Solid Concentration Dynamics and Distribution Based on Geospatial Models in Mojo River Estuary, Pemalang Aini, Firly Nur; Indarjo, Agus; Zainuri, Muhammad; Endrawati, Hadi; Redjeki, Sri; Pribadi, Rudhi; Setiyono, Heryoso; Suryoputro, Agus Anugroho Dwi
Buletin Oseanografi Marina Vol 13, No 2 (2024): Buletin Oseanografi Marina
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/buloma.v13i2.64406

Total suspended solids (TSS) concentrations and distribution provide information to determine the quality of the carrying capacity of waters as marine resources. The purpose of the research is to analyze the concentration and distribution of TSS in marine waters due to anthropogenic impacts on land. The concentration and distribution changes of TSS were analyzed using a geospatial model approach. The in-situ data were collected in September 2023 at 14 stations in the east monsoon and analyzed in the laboratory using the gravimetric method. The results show that TSS concentration range from 29.2–52.6 mg/L. The distribution of MPT content in the Mojo River Estuary, Pemalang has several groups of stations with convergent forms, where the high source of MPT comes from around the lagoon, namely the aquaculture and mangrove areas, then in general it is also affected by waste from anthropogenic activities of the, surrounding industries seasonal currents, which are related to wind and seasons, as well as currents due to waters from tides.

Analisis Kesesuaian Lahan Rehabilitasi Mangrove di Desa Pasar Banggi, Desa Tireman, dan Desa Kabongan Lor, Kecamatan Rembang Ain, Rahmayani Kurnia; Pribadi, Rudhi; Suryono, Suryono
Jurnal Kelautan Tropis Vol 28, No 3 (2025): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v28i3.28379

Environmental degradation, coastal abrasion, and pollution are strategic issues in Rembang District. Rembang subdistrict, which includes extensive mangrove areas along its coastline particularly in the villages of Pasar Banggi, Tireman, and Kabongan Lor has become increasingly vulnerable to these environmental challenges. This study aims to evaluate land sustainability in these three villages to support future mangrove rehabilitation planning. Fieldwork was conducted in September 2024 across 14 sampling stations. Data collection included assessments of mangrove vegetation by counting individual trees, identifying species, and measuring relevant environmental parameters. Land suitability analysis was carried out by constructing a mangrove land suitability matrix, assigning weights, and calculating scores based on the degree of suitability. Based on land suitability analysis, Pasar Banggi Village was identified as highly suitable for mangrove survival, Tireman Village as suitable, and Kabongan Lor Village as conditionally suitable. Permasalahan degradasi lingkungan, abrasi dan pencemaran menjadi isu strategis yang ada di Kabupaten Rembang. Kecamatan Rembang yang memiliki kawasan mangrove di sepanjang pesisirnya terutama Desa Pasar Banggi, Tireman, dan Kabongan Lor menjadi kawasan yang rentan. Penelitian ini bertujuan untuk mengetahui kesesuaian lahan yang ada di 3 Desa tersebut sehingga dapat digunakan untuk rencana rehabilitasi selanjutnya. Penelitian dilakukan pada Bulan September 2024 dengan total 14 stasiun. Pengambilan data lapangan dilakukan untuk mengetahui kondisi vegetasi mangrove dengan menghitung jumlah individu, jenis, dan pengukuran parameter lingkungan. Analisis kesesuaian lahan dilakukan dengan pembuatan matriks kesesuaian lahan mangrove, penentuan bobot dan perhitungan skor berdasarkan tingkat kesesuaiannya. Berdasarkan kesesuaian lahan mangrove Desa Pasar Banggi menjadi lokasi yang sangat sesuai untuk kelangsungan hidup mangrove, dengan Desa Tireman masuk dalam kategori sesuai dan Desa Kabongan Lor masuk dalam kategori sesuai bersyarat.

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