Roza Yusfiandayani
Bogor Agricultural University
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Featured researches published by Roza Yusfiandayani.
Jurnal Ilmu dan Teknologi Kelautan Tropis | 2017
Febrina Berlianti; Roza Yusfiandayani; M. Fedi A. Sondita; Bambang Murdiyanto
Togo is a passive gear and classified as a trap and guiding barrier. Togo fishery in Cemara Labat village covers fishing activities in river and ponds. Penaeus indicus fishing in ponds are considered more profitable because catches obtained were greater thanboth in term of abundance and biomass. This study aims to identify fishing unit, compare the productivity and analyze differences in the number and size of catches of togo in river and ponds. The research used case study, survey and interview techniques to collect data on the performance of the fishing gear, productivity, the number and size of catches were analyzed using technical analysis, productivity trip and unpaired comparisson t-test. Results showed fishing unit of togo in river consists of fishing gear and boat, while the components on the fishing unit of togo in ponds consisting of fishing gear, ponds and hut. The t -test showed that it differed in abundance and biomass of shrimp on the different togo (p<0.05). The average size in river was 7879 cm with average catch was 10.60 kg while catches per trip was 31.47 kg trip -1 less than togo in ponds which reached 53.45 kg trip -1 with an average number and size where each 31.47 kg and 10.07 cm.
Jurnal Teknologi Perikanan dan Kelautan | 2014
Roza Yusfiandayani; Indra Jaya; Mulyono S. Baskoro
The purpose of the study is to analyze the influence level of the production factors to development of the tuna fishing industry in Ambon City. The data collected are the vessel size, gear size, long trip, fuel use, ice use, fresh water and the number of crew. The data comes from Ambon tuna fishermen. Data collected are primary and secondary data. The analysis used is multiple regression analysis. Multiple regression analysis of the relationship of tuna production gets the value of significance (sig) 0,000. Sig be in the range of beliefs <0.005 means that the regression model can predict the tuna fishery production. Determinant coefficient (R2) of about 0.719 shows the influence of production factors together could explain 71.9% up and down the production of tuna. Base on the significance value of each production factor to production, only the use BBM (X4) and the use of ice cubes (X5) which has a significance value <0.05 (0.000). Use of X5 is influential but has no effect supports the development of tuna in Ambon City. Conclusions taken from this study is the production of factors that influence the production of tuna fisheries in Ambon is the use BBM and the use of ice cubes (X5) which has a significance value <0.05 is 0.000.
Indonesian Fisheries Research Journal | 2017
Roza Yusfiandayani
Marine Fisheries : Journal of Marine Fisheries Technology and Management | 2018
Ridwan Sala; Domu Simbolon; Sugeng Hari Wisudo; John Haluan; Roza Yusfiandayani
Jurnal Teknologi Perikanan dan Kelautan | 2018
Roza Yusfiandayani; Desi Rezki Amelia; Mochammad Riyanto
Jurnal Teknologi Perikanan dan Kelautan | 2018
Rama Agus Mulyadi; Muhammad Fedi Alfiadi Sondita; Roza Yusfiandayani
Marine Fisheries : Journal of Marine Fisheries Technology and Management | 2017
Ganang Dwi Prasetyo; Ronny Irawan Wahju; Roza Yusfiandayani; Mochammad Riyanto
Marine Fisheries : Journal of Marine Fisheries Technology and Management | 2017
Muhamad Re Prayitno; Domu Simbolon; Roza Yusfiandayani; Budy Wiryawan
Jurnal Teknologi Perikanan dan Kelautan | 2017
Alfi Sahri R. Baruadi; Domu Simbolon; Ari Purbayanto; Roza Yusfiandayani
Jurnal Teknologi Perikanan dan Kelautan | 2017
M. Fedi A. Sondita; Roza Yusfiandayani; Esther Afania Ataupah