Kawasan pesisir merupakan wilayah dengan tingkat pemanfaatan yang tinggi dan rentan terhadap kerusakan lingkungan akibat aktivitas manusia. Kerusakan ekosistem, pencemaran lingkungan, perubahan penggunaan lahan, konflik kepentingan sosial adalah beberapa permasalahan utama yang timbul sebagai dampak eksploitasi manusia terhadap kawasan pesisir. Perubahan penggunaan lahan yang tidak terkendali merupakan ancaman terhadap daya dukung dan kelestarian sumberdaya pesisir. Penelitian ini bertujuan untuk (1) memetakan pola penggunaan lahan wilayah pesisir Selat Madura memanfaatkan citra satelit Landsat 8; (2) menganalisa perubahan pola penggunaan lahan wilayah pesisir; (3) mengukur akurasi pemetaan pola penggunaan lahan wilayah pesisir Selat Madura. Metode utama yang digunakan dalam penelitian ini adalah dengan melakukan intrepetasi terhadap hasil pengolahan citra satelit Landsat dengan teknik klasifikasi supervised classification menggunakan algoritma maximum likelihood. Hasil penelitian menunjukkan bahwa terdapat beberapa kelas penggunaan lahan yang dominan di wilayah pesisir Selat Madura yaitu : pemukiman, sawah, ladang, hutan pesisir dan tegalan. Perhitungan uji akurasi dengan membandingkan hasil analisa penggunaan lahan dari dengan hasil observasi lapang menggunakan Confusion Matrix didapatkan nilai akurasi 86%.

The coastline is also known as the confluence line between sea water and land which changes position according to position at high tide. Changing the coastline physically is indicated by the occurrence of abrasion and accretion. The coastline when it experiences setbacks is called erosion and the coastline experiences progress called accretion. The purpose of this study was to find out and identify changes in shoreline that occurred in the coastal area of North Surabaya using high-resolution satellite imagery. The method used is to compare the results of the 2012 aerial photography with the World-View 2 satellite imagery in 2017. The results of the study explain the shoreline changes that occur almost along the coast of North Surabaya with an area of total accretion of 143.06 Ha due to additional settlements , mangrove and non-mangrove vegetation and total abrasion area of 44.9 ha caused by port and factory activities. So that changes in the coastline in the coastal area of North Surabaya when viewed based on each sub-district from 2002 to 2017 tend to experience abrasion compared to accretion.

No abstract

Global warming is a problem that is felt by all the components of life. One of the effects of the global warming is rising sea levels are getting increased. One of the areas that are affected are the coastal waters of northern area of Surabaya. Resulting in frequent occurrence of tidal flooding in the area. This study aimed (1) to map the vulnerability of the tidal flood disaster in the northern coastal region of Surabaya, (2) make an effort to do to reduce the risk of tidal flooding, (3) identify the adaptation of society to overcome the tidal flood risk on the north coast of Surabaya. Making the tidal flood inundation model on the north coast of Surabaya using image data and field surveys. This study was conducted using Aster Data G-Dem 2016 (in altitude), tide data, and land use for the data image, while for field use data from interviews to the local community. Processing tidal flood inundation map using DEM data and also the value of the harmonic tidal dioleh with Least Square method. Components used height of the land compared with the ups and downs with HHWL Caltolator Raster method. Results obtained from this study of the tidal flood inundation maps throughout 2018 and also predictions of tidal inundation with some scenarios in subsequent years.

Abstract. Coastal regions and small islands are areas that will be adversely affected by the phenomenon of sea level rise globally. In general, Sea Level Rise (SLR) will result in coastal impacts as follows: increased frequency and intensity of floods, changes in ocean currents and widespread intrusion of sea water. This research was conducted in Gili Raja Island of Sumenep Madura. Objectives of this research were to demonstrate the ability of combining remote sensing and GIS method to determine the impact of SLR on a small island and to model its scale using different scenario. GIS based run-up model were performed to estimate and predict the impact of SLR to the island's area. Three water level scenario (0.5 m, 1.0 m and 1.5 m) were applied. The results showed that in the first scenario 8.73% of the island was flooded by sea water, furthermore in two other scenario the flooded area was increase significantly (15.88% and 22.38%).

Jakarta Bay is one of the coastal areas with dynamic changes in its coastal environment. This is caused by the location of the bay which is the estuary of several large rivers that flow from the West Java region. One of the dynamics parameters of the coastal environment that can be observed temporarily is the change in the shoreline. The study aimed to analyze the changes in the shoreline caused by abrasion and sedimentation in the eastern part of Jakarta Bay. Multitemporal satellite images (2003, 2010, and 2018) were downloaded from the Google Earth application. On-screen digitation was applied to extract coastline features. Coastlines from different years were then overlayed to measure the magnitude of the changes using ArcGIS 10.3 software. The results of the overlay process showed that during the last 15 years, abrasion has taken place covering 37,6 Ha and sedimentation covering 90,7 Ha. The rapid development of coastal areas in the Jakarta Bay also resulted in reclamation land covering an area of 100,2 Ha.

Mangroves have important roles in the coastal environment. They enrich coastal waters with nutrient, protect coastlines from abrasion and sea level rise as well as support coastal fisheries. Another function of mangroves that are less known is their role in carbon (C) sequestration and storage. Previous studies reveal that mangrove forests contain some of the highest carbon stocks per unit area compared to other forest types. However, that information is not widely available, particularly in Indonesia. This study aimed to determine distribution and community structure of mangroves ecosystem and to estimate carbon stock stored in the mangrove forest of Paliat Island Sumenep East Java. The data collection was conducted on the island, starting from July to September 2017 using harvesting sampling method. Furthermore, to discriminate carbon stock from different parts of mangrove vegetation, One Way ANOVA statistical analysis was employed. The results showed that there were 4 dominant mangrove species on the island namely Rhizophora mucronata, Bruguiera gymnorrhiza, Rhizophora stylosa and Rhizophora apiculata. The total mangrove biomass of the study area was approximately 21.59 ton/Ha with an estimated carbon stock around 10.80 ton/Ha. Further analysis explained that there was a significant difference in carbon stock between various parts of mangrove vegetation (One Way ANOVA, F = 220, df1=4, df2=85, p<0.05).

Bawean is a small island located around 80 miles north of Gresik, East Java Province, Indonesia. In the recent years, the island is renowned as a new destination for marine and coastal eco-tourism. Sustainable eco-tourism management in a small island is a very important concept not only for increasing income of local people but also in protecting the island itself from environmental degradation due to natural and anthropogenic factors. This paper discusses the methodology of mapping the hydro-oceanographic condition of Bawean Island. In this respect a methodology to analyze the suitability of the island and formulate strategies towards sustainable management of Bawean Island as a coastal eco-tourism destination will also be discussed.