Muhammad Yusuf Ridho’s scientific contributions

The aim of this research is to understand the management strategy for Mackerel Fish (Rastrelliger Kanagurta) at Karangantu Harbor. The research method used by researchers is a quantitative research method. The sample selection in this research used the primary data sampling technique, using a purposive sampling technique. Because the aim of this research was mackerel, sampling was carried out randomly on the fishing fleet that caught mackerel and landed at PPN Karangantu. Meanwhile, the researcher's data analysis used Catch Per Unit Effort (CPUE), Fox Model, Schaefer Model, Walter-Hilborn Model, Clarke Yoshimoto Pooley (CYP) Model, and Schnute Model, as well as analysis of management strategy preparation using qualitative descriptive analysis methods based on MSY values, JTB, and average annual production/catch at Karangantu Harbor. The results of the research show that the correlation coefficient (R2) at 20 days is 0.9537. The r value is close to 1 (one), indicating a close relationship between length growth and fish weight. The condition of the mackerel fishery in the waters of Serang Regency is experiencing a decline. For the management of mackerel, the size of the nets used to catch mackerel should be enlarged so that fewer fish are caught that are smaller than the size at which the gonads first mature.

The Karangantu Archipelago Fisheries Port has a central role in provincial fisheries in Banten Province, Indonesia. This role shows that fisher catches are necessary to support regional needs, so that the fishing process up to the dimensions of fishing also helps the catch potential. The measurements of the fishing gear refer to the type of fishing gear, the type of vessel (GT), the number of boxes, and the number of fishers who act as crew members (ABK) during the fishing process. This study aims to measure the influence of the dimensions of fishing gear on the catches obtained by fishers at the Karangantu Archipelago Fisheries Port. The research method uses quantitative methods, based on the results of linear regression of the dependent and independent variables, and interviews in data collection. The results show that the variables of ship weight, number of boxes, and number of crew members had a common effect, 0.35 or 35 %, on fish catches. The low coefficient indicates the influence of the dimensions of the fishing gear is not always the primary determinant. There are 65 % physical and production variables to maximize the dimensions of the fishing gear to support increased catches. Based on this influence analysis, it can be used as a reference for maximizing the dimensions of fisher fishing gear to support increased catches, given the role of Karangantu Archipelago Fisheries Port as a supplier of fish at the provincial level. Highlights The field survey time is essential to decide due to habitual results because of weather differences All fishers observed are using rampus nets (bottom gill net) as their fishing gear Correlation between fishing gear dimensions and daily fish catches analyzed with statistical quantitative methods by linear regression The fish gear dimension does not significantly affect daily fish catches, proven by the low coefficient of determination (R-squared) of 0.35 Other factors that affect daily fish catches of fishers are location, environmental conditions, and physical water