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ABSTRAK PENDAHULUAN Latar BelakangData di wilayah pesisir perlu dipelajari untuk berbagai kebutuhan seperti perencanaan pembangunan pelabuhan, pengembangan pariwisata dan budidaya pesisir seperti ikan kerapu, rumput laut dan terumbu karang buatan. Survei lapangan perlu dilakukan untuk mengumpulkan data. Dikarenakan kondisi alam yang terkadang buruk, wilayah cakupan yang luas dan keterbatasan waktu serta dana, maka survei dilakukan dengan mengambil beberapa titik sampel pengamatan. Untuk mengolah dan menganalisa data secara spasial, Sistem Informasi Geografis (SIG) biasanya digunakan. Didalam analisa spasial baik dalam format vektor maupun raster, diperlukan data yang meliputi seluruh studi area. Oleh sebab itu, proses interpolasi perlu dilaksanakan untuk mendapatkan nilai diantara titik sampel.Ada beberapa metode yang bisa digunakan untuk melakukan interpolasi seperti Trend, Spline, Inverse Distance Weighted (IDW) dan Kriging. Setiap metode ini akan memberikan hasil interpolasi yang berbeda. Akan menjadi mudah dan bermanfaat bagi pengguna berikutnya apabila ada kajian tentang perbandingan hasil interpolasi dengan metode yang berbeda sehingga metode yang tepat bisa dipilih. Penggunaan metode trend dan spline telah dijelaskan dalam Pramono (2005). Penelitian ini memfokuskan pada penggunaan metode IDW dan Kriging. Maksud dan TujuanMaksud dari penelitian ini adalah untuk mempelajari perbedaan akurasi hasil interpolasi dengan menggunakan metode IDW dan Kriging pada data sedimen tersuspensi di lepas pantai Kabupaten Maros, Sulawesi Selatan. Studi ini merupakan kelanjutan dari pekerjaan analisis tingkat kesesuaian marine culture yang

Sustainable coastal management is playing an important role in coastal resources conservation, particularly on small islands. Karimata archipelago has unique characteristics and great potential to be developed as a tourism object, one of which is Karimata Island as the largest island and also reserve area. The concept of ecotourism focuses on the ecology conservation, economic benefits, and social life. Ecotourism aims to build sustainable tourism that provides economically viable and social benefits to the community. This study aims to develop coastal management strategy based on ecotourism at Karimata Island. Spatial approaching through coastal type was done. Qualitative descriptive analysis and SWOT are used to develop sustainable management strategies for the coast of Karimata Island, where the opportunities and challenges to the development of coastal ecotourism Karimata Island also included. If this potential is optimally utilized, it can be relied as an economic opportunity for local communities. Structurally shaped coast, marine depositional coast and coast build by organism are several of coastal types found at Karimata Island. Coastal ecosystems inhabited Karimata Island are mangroves, coral reefs, and macro-algae. Karimata Island have not been optimally utilized for tourist destinations. The biggest obstacle encountered is the accessibility from Kalimantan or other island at Karimata islands. Several problems related to the utilization of coastal resources were found such as mangrove and coral reef damage, also regulation that less supportive. The results of this study are expected to provide an overview of solutions for the development of coastal tourism potentials in Karimata Island.

ABSTRACT

A devastating tsunami struck Palu Bay in the wake of the 28 September 2018 M w = 7.5 Palu earthquake (Sulawesi, Indonesia). With a predominantly strike-slip mechanism, the question remains whether this unexpected tsunami was generated by the earthquake itself, or rather by earthquake-induced landslides. In this study we examine the tsunami potential of the co-seismic deformation. To this end, we present a novel geodetic data set of Global Positioning System and multiple Synthetic Aperture Radar-derived displacement fields to estimate a 3D co-seismic surface deformation field. The data reveal a number of fault bends, conforming to our interpretation of the tectonic setting as a transtensional basin. Using a Bayesian framework, we provide robust finite fault solutions of the co-seismic slip distribution, incorporating several scenarios of tectonically feasible fault orientations below the bay. These finite fault scenarios involve large co-seismic uplift (>2 m) below the bay due to thrusting on a restraining fault bend that connects the offshore continuation of two parallel onshore fault segments. With the co-seismic displacement estimates as input we simulate a number of tsunami cases. For most locations for which video-derived tsunami waveforms are available our models provide a qualitative fit to leading wave arrival times and polarity. The modeled tsunamis explain most of the observed runup. We conclude that co-seismic deformation was the main driver behind the tsunami that followed the Palu earthquake. Our unique geodetic data set constrains vertical motions of the sea floor, and sheds new light on the tsunamigenesis of strike-slip faults in transtensional basins.