Jakarta Bay as one of an area with the densest population in Indonesia became one of the highest contamination level waters in the world includes pollution of debris. Reclamation activities in Jakarta Bay will change the water conditions, and will also affect the distribution of debris at sea. Therefore, this study conducted is to determine the movement of the marine macro debris before and on the condition of the existing reclamation island in the Bay of Jakarta. The method used is simulated by the hydrodynamic model and particle trajectory models using MIKE software. Data needed for the hydrodynamic model, namely wind, tides, bathymetry, and shoreline, while for the trajectory of the particles using a data type of debris, marine macro debris weight, and debris flux. The analysis was performed for hydrodynamic model simulation results and comparison of particle trajectory models. Hydrodynamics simulations indicate if a reclamation island formation does not change significantly in the offshore area, but a simple change in the surface current pattern of the reclamation area, it also causes a decrease in the flow velocity of ± 0.002 to 0.02 m/s at some point. Macro debris particle trajectory simulation shows if after reclamation, macro debris tends to accumulate in the eastern Jakarta Bay in the rainy season (January), as well as in the western and eastern regions during the dry season (July).

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This research aims to determine the ecosystems connectivity by observing the distribution of inter-island mangrove propagules in the territorial waters of Biawak Island. The data used are wind, tidal, and bathymetry of 2018. They are modeled according to the propagules’ weight and the particle trajectory module. The results showed that the entire propagules (Rhizopora sp, Sonneratia sp, and Brugueira sp) dominantly moved to the west and southeast. They are carried by the currents that are influenced by the west and east monsoon. The propagules of Rhizopora sp moves from east to southeast, Sonneratia sp moves from east to south, and propagules Brugueira sp moves from west to north. In addition to oceanographic factors, other parameters that can influence the pattern of propagules movement is the propagule’s mass; the lighter it is, the easier it is to be carried away.

Pantai merupakan daerah yang sangat dinamis untuk berubah seiring bertambahnya waktu. Salah satu perubahan yang terjadi di daerah pantai yaitu perubahan pada garis pantai. Tujuan penelitian ini yaitu untuk mengetahui tingkat perubahan garis pantai di pesisir Kecamatan Sayung, Kabupaten Demak dari hasil overlay citra satelit Landsat. Penelitian ini diharapkan dapat berguna sebagai rujukan penelitian selanjutnya, serta sebagai informasi untuk instansi-instansi terkait dan pemerintah agar dapat memperhatikan kondisi keseimbangan fisik pantai di Pesisir Sayung. Penelitian ini menggunakan data yang bersumber dari citra Landsat 7 dan 8 dalam kurun waktu 10 tahun dari tahun 2006 sampai 2016. Metode yang digunakan yaitu metode deskriptif dengan menjelaskan masalah yang terjadi pada lokasi penelitian dengan pendekatan pemodelan dan sistematis. Metode analisis perubahan garis pantai dilakukan dalam program Digital Shoreline Analysis System (DSAS) dengan pendekatan statistik End Point Rate (EPR) dan Net Shorline Movement (NSM). Hasil penelitian menunjukkan bahwa perubahan garis pantai di pesisir Sayung didominasi dengan kejadian abrasi yang sangat tinggi dengan luasan abrasi bernilai 116,48 hektar. Abrasi maksimum terjadi di Desa Timbulsloko, Abrasi minimum terjadi di Desa Sriwulan, Akresi maksimum terjadi di Desa Sriwulan, dan Akresi minimum terjadi di Desa Bedono.

This research aims to analyze the contribution of the fisheries sector to Gross Regional Domestic Product (GRDP), analyze the extent to which market demand is related to fishery sector products, and analyze the strength of the fisheries sector base and non-base sectors in regional development in Cirebon Regency. The method used in this research is quantitative method using secondary time series data, which is then analyzed using descriptive statistics, as well as qualitative methods using primary data obtained through direct interviews with parties involved in the fisheries sector and distributing questionnaires via google form. to the people of Cirebon Regency. The data analysis used is growth index analysis, Shift Share (SS) analysis, Trade Area Capture (TAC) analysis, Pull Factor (PF) analysis, and Location Quotient (LQ) analysis. The results of the growth index analysis show that the GRDP of the fisheries sector in Cirebon Regency has increased by 77.22% in the 2013-2019 periods. The results of the Shift Share (SS) analysis show that the contribution of the fisheries sector to the GRDP of Cirebon Regency is 10.02%. The results of the 2013-2019 TAC analysis show that the value of TAC > total population means that Cirebon Regency can capture trade opportunities in fishery products from other regions. The PF value of the fisheries sector in Cirebon Regency is > 1, which means that Cirebon Regency can attract customers from other regions and has a specialization in the fishery product market. And the results of the Location Quotient (LQ) analysis show a value of 2.75 (> 1), which means that the Cirebon Regency fishery sector is an economic base sector that can meet the needs of fishery products in its region and can export out of other regions. Regional development in Cirebon Regency can be maximized by increasing development in the fisheries sector as a base sector by making the fisheries sector one of the priorities for regional development investment.