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"Estuari merupakan wilayah terjadinya pencampuran antara masa air laut dengan air tawar dari daratan sehingga memiliki keunikan tersendiri karena pada estuari terbentuk air payau dengan salinitas yang berfluktuasi. Wilayah estuari sangat dinamis karena selalu terjadi perubahan lingkungan fisik maupun biologis. Penentuan zonasi perairan estuari di lapangan sulit untuk dilakukan sehingga penggunaan data penginderaan jauh lebih efektif. Tujuan penelitian ini ialah menganalisis nilai sebaran salinitas hasil algoritma penduga sebaran salinitas yang paling sesuai di estuari Teluk Ciletuh, menganalisis hubungan antara parameter fisik oseanografi dan salinitas, dan menganalisis batas zonasi estuari Teluk Ciletuh dengan sebaran salinitas permukaan perairan berdasarkan bulan basah dan bulan kering. Metode yang digunakan untuk mengetahui nilai salinitas diperoleh dari pengolahan citra Sentinel-2 di tahun 2019 dan 2020 dengan membandingkan algoritma penduga sebaran salinitas yaitu algoritma Cilamaya dan algoritma Cimandiri. Analisis data yang digunakan ialah analisis statistik dengan melakukan uji korelasi untuk mendapatkan sebaran salinitas berdasarkan perhitungan algoritma yang cocok, analisis spasial untuk mendapatkan batas zonasi estuari berdasarkan bulan basah dan bulan kering, serta analisis statistik deskriptif untuk menganalisis sebaran salinitas berdasarkan faktor fisik oseanografi. Berdasarkan hasil validasi, didapatkan bahwa Algoritma Cilamaya lebih cocok digunakan di perairan Teluk Ciletuh. Pemetaan sebaran salinitas permukaan laut tersebut membentuk batas estuari. Curah hujan yang diklasifikasikan dalam bulan basah dan bulan kering mempengaruhi sebaran salinitas yang juga berpengaruh terhadap zonasi perairan dan batas wilayah estuari.

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Estuary is an area where sea water is mixed with fresh water from the mainland so that it is unique because it forms brackish water with fluctuating salinity. The estuary area is very dynamic because there are always changes in the physical and biological environment. It is difficult to determine the zoning of estuary waters in the field so that the use of sensing data is much more effective. The aims of this study was to analyze the salinity distribution of the most suitable salinity distribution estimation algorithm in the estuary of Ciletuh Bay, to analyze the relationship between the physical parameters of oceanography and salinity, and to analyze the boundaries of the Ciletuh Bay area with the distribution of surface salinity based on wet months and dry months. The method used to measure the salinity value obtained from Sentinel-2 image processing in 2019 and 2020 is by comparing the spread of salinity estimation methods, namely the Cilamaya algorithm and the Cimandiri algorithm. The data analysis used is statistical analysis by conducting trials to obtain the distribution of salinity based on the calculation of a suitable algorithm, spatial analysis to obtain estuary zoning boundaries based on wet and dry months, and descriptive statistical analysis to analyze the distribution of salinity based on physical oceanographic factors. Based on valid results, it was found that the Cilamaya Algorithm is more suitable for use in the waters of Ciletuh Bay. Mapping the distribution of sea surface salinity forms the estuary boundary. Rainfall classified into wet months and dry months affects the distribution of salinity which also affects the zoning of waters and the boundaries of the estuary area."

"Estuari adalah wilayah sangat dinamis tempat bertemunya air laut yang bersalinitas tinggi dengan air tawar bersalinitas rendah. Salinitas di wilayah estuari berkisar antara 0.5-30?. Tujuan penelitian ini untuk mengetahui zonasi estuari Ci Mandiri berdasarkan salinitas permukaan perairan; mengetahui hubungan salinitas dengan arus laut, pasang surut, curah hujan dan debit sungai. Nilai salinitas diperoleh melalui citra Landsat 8 tahun 2014 dan 2015 menggunakan algoritma pendugaan salinitas Woutuyzen dkk (2008) yang kemudian divalidasi menggunakan data pengukuran salinitas di lapangan tanggal 9 Juni 2014 dan 25 April 2015. Citra Landsat 8 yang digunakan adalah citra tahun 2014 pada tanggal 17 Februari, 22 April, 9 Juni, 28 Agustus, 29 September, 31 Oktober, 18 Desember serta citra tahun 2015 tanggal 24 Maret. Nilai salinitas di lapangan diukur menggunakan alat portable salinity refractometer. Berdasarkan hasil pendugaan salinitas, terdapat 3 zona di Estuari Ci Mandiri berdasarkan salinitasnya yaitu Mexo-mesohaline, Mexo-polyhaline, dan Euryhaline. Salinitas tinggi terjadi saat kecepatan arus yang bergerak secara horizontal tinggi, debit aliran sungai dan curah hujan rendah, serta laut dalam keadaan surut. Salinitas rendah ditemukan saat keadaan pasang dengan kecepatan arus yang bergerak secara horizontal rendah serta debit aliran sungai dan curah hujan tinggi.

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Estuary is a very dynamic area where low salinity river water mixed with high salinity sea water which give estuary 0.5-30? salinity. The aim of this research is to know Ci Mandiri Estuary zonation based on sea surface salinity; determine the relationship between salinity, sea surface current, sea tides, precipitation and river discharge. The value of sea surface salinity was getting by interpretation of Landsat 8 satellite image with salinity equation by Wouthuyzen et al (2008) and validated using salinity measurement in research area at June 9th 2014 and April 25th 2015.

Landsat 8 satellite image data used is the image on 2014 February 17th, April 22nd, June 9th, August 28th, September 29th, October 31st, Desember 18th and 2015 March 24th. The value of sea surface salinity in research area was measure by portable salinity refractometer.

Based on this research there was 3 zone of Ci Mandiri estuary based on salinity, Mexo-mesohaline, Mexo-polyhaline and Euryhaline. High salinity when sea surface current high, river discharge and precipitation low, and flow period. Low salinity when sea surface current low, river discharge and precipitation high, and ebb period."

"Rajungan (Portunus pelagicus) merupakan salah satu hasil perikanan yang memiliki nilai ekonomis cukup tinggi. Estuari Cilamaya menjadi salah satu wilayah dengan potensi rajungan yang cukup tinggi di Jawa Barat. Salah satu faktor penting yang dapat memengaruhi kehidupan rajungan adalah salinitas. Rajungan (Portunus pelagicus) dapat hidup pada perairan dengan tingkat salinitas yang bervariasi yaitu 20-30 ppt atau masuk kedalam zona air payau. Dengan mengetahui zonasi perairan di estuari, maka wilayah tangkapan rajungan yang optimal di Estuari Cilamaya dapat digambarkan. Zonasi perairan didapatkan dengan melakukan klasifikasi sebaran salinitas menggunakan Venice System Classification (1958). Untuk nilai sebaran salinitas diperoleh dari citra Sentinel-2A tahun 2018 menggunakan algoritma penduga sebaran salinitas permukaan yaitu Algoritma Cilamaya. Wilayah Tangkapan rajungan dikaji berdasarka musim hujan dan musim kering. Wilayah tangkapan rajungan pada bulan kering semakin mendekati darat jika dibandingkan dengan wilayah tangkapan rajungan pada bulan basah.

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Blue swimming crab (Portunus pelagicus) is one of the fishery products that has a high economic value. Cilamaya Estuary is one of the region with a high potential for this habitats in West Java. One of important factor that affect the existence of this habitats is salinity. The blue swimming crab (Portunus pelagicus) can live at varied levels of salinity, in 20-30 ppt or into the brackish water zone. By knowing the zoning of the waters in the estuary, the optimum catching area of this habitats in the Cilamaya Estuary can be described. Aquatic zoning is obtained by classifying the sea surface salinity distribution using the Venice System Classificatio (1958). For the sea surface salinity distribution obtained form Sentinel-2A imagery in 2018 using salinity estimation algorithm, namely Cilamaya Algorithm. The catching area of blue swimming crab study based on wet seasons and dry seasons. The catch area of blue swimming crab in the dry seasons is closer to the land compared in the wet seasons."

"Sidat (Anguilla spp.) merupakan ikan konsumsi yang memiliki nilai ekonomis penting, baik untuk pasar lokal maupun luar negeri. Teluk Pelabuhanratu merupakan daerah dengan potensi besar bagi penyediaan benih ikan sidat. Salah satu faktor penting yang mempengaruhi kehidupan ikan sidat adalah salinitas, karena secara alami ikan sidat bermigrasi dari perairan tawar, payau, dan laut atau sebaliknya. Sehingga diperlukan cara untuk menggambarkan persebaran larva ikan sidat (impun) berdasarkan salinitas. Untuk mengetahui nilai salinitas diperoleh dari citra Landsat 8 tahun 2015 dan 2016 menggunakan pendugaan salinitas Algoritma Cimandiri (Supriatna et al., 2016). Penelitian dilakukan di muara Ci Mandiri, Ci Tepus dan Ci Maja berdasarkan bulan basah dan bulan kering. Keberadaan larva ikan sidat (impun) yang diperoleh dari hasil tangkapan terjadi saat bulan kering dimana hasil tangkapan terbanyak terjadi di mulut muara. Hasil tangkapan berkurang jika semakin jauh dari mulut muara, yaitu pada bagian pantai ke arah laut dan bagian dalam muara sungai dengan nilai salinitas ke arah laut meningkat sedangkan nilai salinitas ke arah sungai berkurang.

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Eel (Anguilla spp.) is consumed fish that has an important economic value, either for local or international market. Pelabuhanratu Bay is an area with big potension for supplying eel seed. One of important factor which affect an eel existence is salinity, because eel migrate from fresh water, brakish, and sea naturally although the otherwise so that need ways to describe the distribution of glass eel by the salinity. To find out the percentage of salinity, it obtained from Landsat 8 Imagery year 2015 and 2016 using salinity prediction of Algorithm Cimandiri (Supriatna et al., 2016).

The research has been conducted at Ci Mandiri Estuary, Ci Tepus Estuary, and Ci Maja Estuary based on wet month and dry month. The existence of glass eel which is obtained from the catch was occurs on dry month when the most catch was occurs at the edge of estuary. The catch is reduced if it?s farther from the edge of estuary, at the beach towards the sea and the inside of river estuary with the percentage of salinity towards the sea is increase while the percentage of salinity towards the river is decrease."

"Muara adalah sistem yang sangat unik, di mana pencampuran antara sungai dan air laut menghasilkan gradien curam komponen abiotik yang berbeda yang mencakup salinitas, suhu, anorganik, dan nutrisi organik (Santos et al., 2014). Wilayah estuari memiliki peran penting namun juga memiliki kerentanan yang bisa mengancam kehidupan yang ada di wilayah estuari, sehingga perlu adanya pengetahuan batas estuari supaya pelestarian dapat tetap terjaga, dan dapat meningkatkan pengelolaan dan pengembangan wilayah estuari. Penelitian ini memiliki tujuan menganalisis batas Estuari Ci Mandiri dan Estuari Ci Sadane berdasarkan salinitas permukaan perairan, dan menganalisis hubungan salinitas permukaan perairan estuari dengan curah hujan, arus permukaan laut dan pasang surut air laut di Estuari Ci Mandiri dan Estuari Ci Sadane. Variabel yang digunakan dalam penelitian ini adalah salinitas, curah hujan, arus permukaan laut, dan pasang surut. Metode penelitian menggunakan Algoritma Ci Mandiri dengan mengolah Citra Landsat 8 OLI tahun 2018 dan 2019. Hasil dari penelitian ini adalah batas Estuari Ci Mandiri dan Estuari Ci Sadane berdasarkan salinitas permukaan perairan yang diamati berdasarkan musim hujan maupun musim kemarau terbagi menjadi 3 kelas batas estuari yaitu Mexo-oligohaline (0,5-5‰), Mexo-mesohaline (5-18‰), dan Mexo-polyhaline (18-30‰). Nilai salinitas Estuari Ci Mandiri mendapat pengaruh yang sangat kuat oleh musim selanjutnya pasang surut dan yang terakhir adalah arus, hal ini dikarenakan Estuari Ci Mandiri merupakan perairan dalam. Sementara pada Estuari Ci Sadane, nilai salinitas mendapat pengaruh yang kuat oleh musim selanjutnya arus dan yang terakhir pasang surut, serta pengaruh air tawar dari daratan hal ini dikarenakan Estuari Ci Sadane merupakan perairan dangkal.

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Estuary is an exclusive system, where mixing between rivers and seawater produces steep gradients of different abiotic components that include salinity, temperature, inorganic, and organic nutrients (Santos et al., 2014). Estuary areas have an important role but also have vulnerabilities that can threaten life in the estuary region, so it is necessary to have knowledge of estuarine boundaries so that conservation can be maintained, and can improve the management and development of estuarine areas.

This study aims to analyze the boundaries of the Ci Mandiri Estuary and the Ci Sadane Estuary based on surface water salinity, and analyze the relationship of estuarine surface water salinity with rainfall, sea surface currents and tides in the Ci Mandiri Estuary and Ci Sadane Estuary. The variables used in this study are salinity, rainfall, sea surface currents, and tides. The research method use the Ci Mandiri Algorithm by processing OLI Landsat 8 Imagery in 2018 and 2019.

The results of this study are the Ci Mandiri Estuary and Ci Sadane Estuary boundaries based on the water surface salinity observed based on the rainy season and the dry season divided into 3 estuary boundary classes specifically Mexo-oligohaline (0.5-5 ‰), Mexo-mesohaline (5-18 ‰), and Mexo-polyhaline (18-30 ‰). Ci Mandiri's salinity value is strongly affected by season, then by tides and last by the currents, it is because the Ci Mandiri Estuary has a deep waters. Meanwhile in the Ci Sadane Estuary, the salinity value is strongly affected by season, then by the currents and tides, and also affected by freshwater from land, it is because the Ci Sadane Estuary has a shallow water.

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"Penelitian ini dilakukan untuk mengetahui pengaruh sistem zonasi sekolah terhadap pola perjalanan (jarak dan waktu tempuh). Sistem zonasi sekolah merupakan upaya pemerintah untuk membatasi jarak dan waktu tempuh siswa ke sekolah. Pengolahan data dilakukan dalam penelitian melalui analisis statistik dan sistem informasi geografis. Data yang digunakan berupa data profil siswa di SMA 1 Karawang, SMA 3 Karawang dan SMA 5 Karawang tahun ajaran 2019-2020 untuk kelas X, XI dan XII. Data ini diperoleh dari sekolah dan kuesioner online. Metode analisis yang digunakan adalah uji statistik (uji normalitas dan deskriptif) dan analisis jaringan atau network analysis. Hasil uji normalitas menunjukkan bahwa sistem zonasi tidak dapat menyatakan bahwa perubahan jarak dan waktu tempuh terjadi secara signifikan dan tidak berdistribusi normal karena angka signifikansinya < 0,05. Oleh karena itu, penjelasan mengenai perbedaan standar deviasi diperlukan untuk memperkuat argumentasi bahwa terdapat perubahan jarak dan waktu tempuh sebelum dan sesudah penerapan zonasi sekolah. Hasil analisis menyatakan bahwa penerapan zonasi mengubah jarak dan waktu tempuh siswa ke sekolah. Hal ini terlihat dari nilai rata-rata dan simpangan baku (jarak dan waktu tempuh) siswa kelas X yang lebih kecil dari siswa kelas XI dan kelas XII dengan angka 8,55 km dan 15,76 menit serta nilai simpangan baku 7,447 dan 10,99 .

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This study was conducted to determine the effect of the school zoning system on travel patterns (distance and travel time). The school zoning system is an attempt by the government to limit the distance and travel time of students to school. Data processing is carried out in research through statistical analysis and geographic information systems. The data used is in the form of student profile data at SMA 1 Karawang, SMA 3 Karawang and SMA 5 Karawang for the 2019-2020 academic year for grades X, XI and XII. This data was obtained from schools and online questionnaires. The analytical methods used are statistical tests (normality and descriptive tests) and network analysis or network analysis. The results of the normality test indicate that the zoning system cannot state that changes in distance and travel time occur significantly and are not normally distributed because the significance number is <0.05. Therefore, an explanation of the difference in standard deviation is needed to strengthen the argument that there are changes in distance and travel time before and after the implementation of school zoning. The results of the analysis state that the application of zoning changes the distance and travel time of students to school. This can be seen from the average value and standard deviation (distance and travel time) of class X students which are smaller than students of class XI and class XII with numbers 8.55 km and 15.76 minutes and standard deviation values ​​of 7.447 and 10.99 ."

"Pada 2019, realisasi target investasi Sei Mangkei hanya sekitar Rp5.46 triliun dari total kebutuhan Rp128.10 triliun, sementara realisasi target investasi Tanjung Lesung hanya sekitar Rp300 miliar dari total kebutuhan Rp96.60 triliun. Skripsi ini bertujuan untuk mengidentifikasi dan menganalisis permasalahan yang menjadi penghambat tercapainya realisasi target investasi dan serapa tenaga kerja di KEK Sei Mangkei dan KEK Tanjung Lesung menggunakan teori Collaborative Governance dengan berfokus pada interaksi antara Dewan Nasional KEK, Dewan Kawasan, dan Badan Usaha/Pengelola. Metode yang digunakan di dalam skripsi ini adalah metode penelitian kualitatif dengan menggunakan riset-riset terdahulu sebagai sumber data primer. Terdapat tiga temuan dalam skripsi ini yakni terkait infrastruktur yang tidak memadai, minimnya koordinasi antara aktor, dan adanya antagonisme antara aktor menjadi penghambat realisasi target di kedua wilayah KEK ini.

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In 2019, the realization of Sei Mangkei's investment target was only around IDR 5.46 trillion out of a total requirement of IDR 128.10 trillion, while the realization of Tanjung Lesung's investment target was only around IDR 300 billion out of a total requirement of IDR 96.60 trillion. This thesis aims to identify and analyze the problems that are hindering the realization of investment and employment targets in Sei Mangkei SEZ and Tanjung Lesung SEZ using Collaborative Governance theory by focusing on interactions between the National SEZ Council, Regional Council, and Business Entities/Administrator. The method used in this thesis is a qualitative research method using previous research as the primary data source. There are three findings in this thesis, namely related to inadequate infrastructure, lack of coordination between actors, and the existence of antagonism between actors which hinders the realization of targets in these two SEZ regions."

"[Pesatnya pertumbuhan ekonomi dan penduduk di daerah pesisir menjadikan kebutuhan akan ruang yang lebih luas sehingga reklamasi kawasan pesisir menjadi pilihan utama yang banyak ditempuh Pemanfaatan pasir laut yang berlebihan dan tidak terkendali dapat mengganggu ekosisitem bahkan merusak daya dukungnya Penelitian ini mengkaji gangguan pada produktivitas perairan Teluk Banten Kabupaten Serang yang disebabkan kegiatan penambangan pasir laut di tahun 2004 2015 Masalah penelitian adalah belum adanya kajian ilmiah lingkungan mengenai pengaruh penambangan pasir laut di Teluk Banten Penelitian ini menggunakan pendekatan kuantitatif dengan metode kuantitatif dan kualitatif Data fisik dianalisis menggunakan korelasi dan regresi polinomial orde 2 dan data wawancara dianalisis dengan metode deskriptif Hasil penelitian memperlihatkan hubungan yang kuat r 0 9835 antara penambangan pasir laut dengan peningkatan kekeruhan perairan Teluk Banten dengan persamaan regresi y x 90 8494 9 2392 10 3 x 1 3059 10 7 x2 Penambangan pasir laut juga signifikan mengurangi produktivitas perairan Teluk Banten r 0 9726 dengan persamaan regresi y x 2 948 3 21 10 7 x ndash 8 26 10 14 x2 Hasil penelitian juga memperlihatkan persepsi negatif masyarakat nelayan terhadap aktivitas penambangan pasir laut Menurut mereka penambangan pasir laut berdampak pada aktivitas penangkapan ikan karena tidak dapat menangkap ikan di perairan dekat desa mereka lagi.

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A rapid economic and population growths in urban coastal areas may followed by an expansion of space Mostly the expansion is applying a coastal reclamation An uncontrollable and overexploitation of marine sand for coastal reclamation may disturbing the ecosystem and even cause damage to its carrying capacity This research is finding the disturbance of marine productivity in Banten Coastal Bay Serang District which is caused by marine sand mining activity in 2004 2015 According to preliminary finding there is no scientific studies about the impact of marine sand mining activity in Banten Coastal Bay yet This research is using quantitative approach with quantitative and qualitative method The physical aspect has been analyzed using statistically correlation and 2nd order of polynomial regression Interview data which is analyzed by a descriptive method somehow providing some clues The result shows the strong correlation r 0 9835 between marine sand mining production and the increasing of water turbidity in Banten Coastal Bay which represent by a regression equation y x 90 8494 9 2392 10 3x 1 3059 10 7x2 Marine sand mining production is also significant reduce r 0 9726 the marine productivity of Banten Coastal Bay which represent by a regression equation y x 2 948 3 21 10 7x ndash 8 26 10 14x2 It is found in the fisheries community that they have a negative perception to the marine sand mining activity According them those mining activities impacting to their fishing tradition They cannot catch the fish in the near shore around their livinghood anymore ;A rapid economic and population growths in urban coastal areas may followed by an expansion of space Mostly the expansion is applying a coastal reclamation An uncontrollable and overexploitation of marine sand for coastal reclamation may disturbing the ecosystem and even cause damage to its carrying capacity This research is finding the disturbance of marine productivity in Banten Coastal Bay Serang District which is caused by marine sand mining activity in 2004 2015 According to preliminary finding there is no scientific studies about the impact of marine sand mining activity in Banten Coastal Bay yet This research is using quantitative approach with quantitative and qualitative method The physical aspect has been analyzed using statistically correlation and 2nd order of polynomial regression Interview data which is analyzed by a descriptive method somehow providing some clues The result shows the strong correlation r 0 9835 between marine sand mining production and the increasing of water turbidity in Banten Coastal Bay which represent by a regression equation y x 90 8494 9 2392 10 3x 1 3059 10 7x2 Marine sand mining production is also significant reduce r 0 9726 the marine productivity of Banten Coastal Bay which represent by a regression equation y x 2 948 3 21 10 7x ndash 8 26 10 14x2 It is found in the fisheries community that they have a negative perception to the marine sand mining activity According them those mining activities impacting to their fishing tradition They cannot catch the fish in the near shore around their livinghood anymore.;A rapid economic and population growths in urban coastal areas may followed by an expansion of space Mostly the expansion is applying a coastal reclamation An uncontrollable and overexploitation of marine sand for coastal reclamation may disturbing the ecosystem and even cause damage to its carrying capacity This research is finding the disturbance of marine productivity in Banten Coastal Bay Serang District which is caused by marine sand mining activity in 2004 2015 According to preliminary finding there is no scientific studies about the impact of marine sand mining activity in Banten Coastal Bay yet This research is using quantitative approach with quantitative and qualitative method The physical aspect has been analyzed using statistically correlation and 2nd order of polynomial regression Interview data which is analyzed by a descriptive method somehow providing some clues The result shows the strong correlation r 0 9835 between marine sand mining production and the increasing of water turbidity in Banten Coastal Bay which represent by a regression equation y x 90 8494 9 2392 10 3x 1 3059 10 7x2 Marine sand mining production is also significant reduce r 0 9726 the marine productivity of Banten Coastal Bay which represent by a regression equation y x 2 948 3 21 10 7x ndash 8 26 10 14x2 It is found in the fisheries community that they have a negative perception to the marine sand mining activity According them those mining activities impacting to their fishing tradition They cannot catch the fish in the near shore around their livinghood anymore , A rapid economic and population growths in urban coastal areas may followed by an expansion of space Mostly the expansion is applying a coastal reclamation An uncontrollable and overexploitation of marine sand for coastal reclamation may disturbing the ecosystem and even cause damage to its carrying capacity This research is finding the disturbance of marine productivity in Banten Coastal Bay Serang District which is caused by marine sand mining activity in 2004 2015 According to preliminary finding there is no scientific studies about the impact of marine sand mining activity in Banten Coastal Bay yet This research is using quantitative approach with quantitative and qualitative method The physical aspect has been analyzed using statistically correlation and 2nd order of polynomial regression Interview data which is analyzed by a descriptive method somehow providing some clues The result shows the strong correlation r 0 9835 between marine sand mining production and the increasing of water turbidity in Banten Coastal Bay which represent by a regression equation y x 90 8494 9 2392 10 3x 1 3059 10 7x2 Marine sand mining production is also significant reduce r 0 9726 the marine productivity of Banten Coastal Bay which represent by a regression equation y x 2 948 3 21 10 7x ndash 8 26 10 14x2 It is found in the fisheries community that they have a negative perception to the marine sand mining activity According them those mining activities impacting to their fishing tradition They cannot catch the fish in the near shore around their livinghood anymore ]"

"ABSTRAKEstuari merupakan ekosistem yang khas dan kompleks dengan keberadaan berbagai tipe habitat. Air laut dan air sungai yang bertemu pada wilayah estuari akan membuat wilayah estuari kaya akan keanekaragaman hayati. Batas estuari berdasarkan salinitas menjadi batasan penelitian ini. Salinitas pada wilayah estuari berada pada rentang 0,5-30 permil;. Sebaran salinitas pada penelitian ini diperoleh dari algoritma penduga sebaran salinitas berdasarkan citra. Algoritma Cimandiri yang dibuat oleh Supriatna et al. 2016 dan Algoritma Wouthuyzen yang dibuat oleh Wouthuyzen et al. 2008 memiliki karakteristik yang berbeda. Validasi Alogirtma tanggal 17 Januari 2017 dilakukan untuk mengetahui algoritma penduga sebaran salinitas yang lebih tepat untuk digunakan di Teluk Lampung. Sebaran salinitas Teluk Lampung yang dibuat menggukan algoritma penduga sebaran salinitas divalidasi hasilnya dengan pengukuran langsung di lapangan menggunakan alat Refractometer. Hasil penduga sebaran salinitas menunjukan terdapat 2 zona estuari di Teluk Lampung yaitu Mexo-mesohaline dan Mexo-polyhaline. Zona lain yang terdapat di Teluk Lampung adalah zona Euryhaline.

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ABSTRACTEstuaries are areas meets the sea water has high salinity and low salinity of the river water. Estuary is a unique and complex ecosystem with the presence of various habitat types. Seawater and river water are met in an estuary region would make the estuary area rich in biodiversity. In this study estuaries limit will be reviewed by the variable salinity. Salinity in the estuary area are in the range from 0.5 to 30 permil . Distribution of salinity in this study was obtained from the estimation algorithm based image distribution of salinity on March 28th 2014, May 15th 2014, September 4th 2014, and October 6th 2014. The Cimandiri algorithm made by Supriatna et al. 2016 and the Wouthuyzen algorithm made by Wouthuyzen et al. 2008 have different characteristics. Validation Alogirtma dated January 17th 2017 was conducted to determine the distribution of salinity estimation algorithm is more appropriate for use in the Lampung Bay. Distribution of salinity Lampung Bay are created using algorithms estimate the distribution of salinity validated the results with measurements directly in the field using a refractometer.The results showed there salinity distribution estimators 2 estuarine zone in the Lampung Bay is Mexo mesohaline and Mexo polyhaline. Other zones are in the Lampung Bay is euryhaline zone."