Business Potential of Micro, Small and Medium Enterprises (MSMEs) Engaged in the Food Sector "Bandeng Presto" Semarang

Fragility of Indonesia's economic fundamentals prompted the government to build theeconomic structure taking into account the existence of Micro, Small and Medium Enterprises(MSMEs). In an effort to develop the people's economy, currently, Micro, Small and MediumEnterprises (UMKM) have been used as a means of national development policy. Milkfish is oneof the aquatic commodities that has a lot of potential to be developed, one of which is prestomilkfish in the city of Semarang. The strategic location city of Semarang, which is at the centerpoint of the main route of the North Island Coast Java makes this city progress and develop apotential area for industrial activity, very prospective trade and services. The potential for fisheryresources large enough to develop. Processed fish is quite important in the city of Semarang andbecome one of the typical Semarang souvenir products, including processed milkfish with variouskinds of product diversification, one of which is presto milkfish

Rapid observations of ocean dynamics and stratification along a steep island coast during Hurricane María

Hurricanes are extreme storms that affect coastal communities, but the linkages between hurricane forcing and ocean dynamics remain poorly understood. Here, we present full water column observations at unprecedented resolution from the southwest Puerto Rico insular shelf and slope during Hurricane María, representing a rare set of high-frequency, subsurface, oceanographic observations collected along an island margin during a hurricane. The shelf geometry and orientation relative to the storm acted to stabilize and strengthen stratification. This maintained elevated sea-surface temperatures (SSTs) throughout the storm and led to an estimated 65% greater potential hurricane intensity contribution at this site before eye passage. Coastal cooling did not occur until 11 hours after the eye passage. Our findings present a new framework for how hurricane interaction with insular island margins may generate baroclinic processes that maintain elevated SSTs, thus potentially providing increased energy for the storm.

Simulations of Shoreline Changes along the Delaware Coast

This technical report presents two applications of the GenCade model to simulate long-term shoreline evolution along the Delaware Coast driven by waves, inlet sediment transport, and longshore sediment transport. The simulations also include coastal protection practices such as periodic beach fills, post-storm nourishment, and sand bypassing. Two site-specific GenCade models were developed: one is for the coasts adjacent to the Indian River Inlet (IRI) and another is for Fenwick Island. In the first model, the sediment exchanges among the shoals and bars of the inlet were simulated by the Inlet Reservoir Model (IRM) in the GenCade. An inlet sediment transfer factor (γ) was derived from the IRM to quantify the capability of inlet sediment bypassing, measured by a rate of longshore sediments transferred across an inlet from the updrift side to the downdrift side. The second model for the Fenwick Island coast was validated by simulating an 11-y ear-long shoreline evolution driven by longshore sediment transport and periodic beach fills. Validation of the two models was achieved through evaluating statistical errors of simulations. The effects of the sand bypassing operation across the IRI and the beach fills in Fenwick Island were examined by comparing simulation results with and without those protection practices. Results of the study will benefit planning and management of coastal sediments at the sites.

How Long is Indian Coastline?

Coastline measurements have no explicit length if they are geometrically self-similar. It is well known that length of self-similar geometrical objects is scale dependent, and hence it is not a fixed number, rather depends on the scale used to measure it. We present a definitive approach based on a fractal method to measure the coastline of India. We propose a method to define optimum scale length, that could be used to measure the coastline. Using our method, the mainland coast measures 7567 km. There are four big inhabited islands in Andaman (North, Middle, South and Little Andaman) which accounts for 687 km of island coast, and Great Nicobar Island has 195 km of coast around it, thus coastal length of inhabited islands is 882 km. Thus the total coast length of India including major 5 inhabited islands from Andaman-Nicobar group of islands is 8391 km. There are several other small islands in Andaman-Nicobar group of islands, we observed 26 of them significant in terms of their size. Indian coast length becomes 9060 km if we account for above mentioned 26 Andaman and Nicobar Islands. According to one of the Wiki articles, there are 572 islands in Andaman-Nicobar group of islands, but many of them are very small and insignificant. This is first ever scientific study about the Indian coast length, which has global significance due to strategic and climate related coastline alterations such as sea level rise due to global warming.

Analiysis of Coastal Ecosystem A Marine Ecotourism at Kokoya Island, Morotai Island District

Coastal ecosystems are dynamic ecosystems that have a rich diversity of habitats on land and in the ocean, as well interacting between one habitat with another. The purpose of this study is to identify the ecological parameters of the coastal ecosystem a marine ecotourism area and determine the suitability class of the Kokoya Island coast as a marine ecotourism area for the coastal tourism category. This research was conducted in January to February 2019. Data collection using primary data with survey methods and direct measurements in the field. The analysis is used to analyze the suitability of the beach ecosystem class on Kokoya Island by using the area suitability matrix for the recreation category of beach tourism. The results showed that at 7 stations in the study location had a Travel Conformance Index in the category of Very Appropriate (S1) and Appropriate (S2). The IKW of each station can be presented; Station 1 IKW. 92.31% (S1), Station 2 IKW. 89.74% (S1), Station 3 IKW. 89.74% (S1), Station 4 IKW. 97.44% (S1), Station 5 IKW. 78.21% (S2), Station 6 IKW. 90.38% (S1), and Station 7 IKW. 97.44% (S1).