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Effect the Usage of Axle and Second Ship Helper on Fish Capture of Purse Seine Fishermen in Banyuwangi District

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Effect the Usage of Axle and Second Ship Helper on Fish Capture of Purse Seine Fishermen in Banyuwangi District Article-3 Asian Jr. of Microbiol. Biotech. Env. Sc. Vol. 18, No. (2) : 2016 : 17-23 © Global Science Publications ISSN-0972-3005 EFFECT THE USAGE OF AXLE AND SECOND SHIP HELPER ON FISH CAPTURE OF PURSE SEINE FISHERMEN IN BANYUWANGI DISTRICT MIMIT PRIMYASTANTO 1Lecturer at Faculty of Fisheries and Marine Sciences, Brawijaya University, Indonesia (Received 13 November, 2015; accepted 17 January, 2016) Key words : Axle, Second ship helper, Regression analysis, Purse seine fishermen Abstract–This research was done in Banyuwangi District, East Java Province. The purposes are: (1) analyzing the business with axle tool and second ship helper, (2) analyzing the factors affecting the fish capture of purse seine fishermen. This research uses descriptive method. Data is collected by interviews, questionnaires and documentation. The analysis method used is business profits analysis and dummy u regression analysis with equation CR= â0 +â1 SD +â2 CN +â3 FD + â4 FE + â5 EP + â6 SF + â7 GT + â8 D + e . This research is qualitative and quantitative descriptive. Study results are follows: (1) Business to use ship with axle tool can makes money of 184.090.909,00, R/C ratio of 1.58, profit of Rp.66.899.712,00.BEP sales of Rp.21.953.703.00 and BEP units of 4,390 kg. Profitability is 58.49%. Effort analysis for ship by second ship helper can makes money of Rp.306.590.909,00, R/C ratio of 1.60, profit of 115,671,596.00. BEP sales of Rp.28.739.225,00 and BEP unit of 5,747 kg. Profitability is 60.22%. (2) Factors that significantly effect on fishermen catch are the crew number (CN), fishing duration (FD), fishingexperience (FE), enginepower (EP), sail frequency (SF), and Gross tonnage (GT) of ship, while sailing distance does notaffect significantly on fish catch. INTRODUCTION East coast of Banyuwangi (Bali Strait) is one of largest fish producer in East Java. Therefore, it is Indonesia is one country with sea area is larger than necessary to study the potential usage of fishing the land. Indonesia deserves to be called as a gear and fishing tools by local fishermen to catch maritime nation. The abundance of fishery resources fish (Pemda, 2005) in Indonesia becomes target for foreign ships with The catch result of every ship need to be studied, larger engine power and better technology than ship both ships with axle tool and shipswith second ship from Indonesia fishermen. The ship of Indonesian helper. The catch is calculated and compared to fishermen isstill relatively traditional. This is know the more efficient and effective ship to operate because the Indonesian fishermen consider modern in area of Bali Muncar strait. This research can be ships damage the environment and makes the used by local agencies to make rule regarding the others fishermen catch reduced (Markandya, and two types of ship. It can be viewed and compared Richardson, 1992). Ships at Bali Muncarstrait are from financial aspects. Dummy regression is also classified as large ships although cannot be said as used to see the more profitable ship to be used by modern ships. The ships have been use axle tools to local fishermen. In this case the fishermen actually help the work of crew (ABK). Axle is used by can be helped so that they can live more prosperous fishermen to pull the rope net faster and more catch (Panayotou, 1982). result (Wijayanti, N. 2008). Fishermen are people who are actively catch the Banyuwangi district is located at eastern tip of fish. Communities whose livelihood are fishing and East Java province with area of 5782.50 km2and spend most of the time at sea are referred as 291.5 km coastline and having large potential of fisherman by surrounding community coastal resources and diverse. Banyuwangi has great (Primyastanto et al., 2013b). Their income also only potential, especially the potential of coastal fisheries. determined by number of fish catch. Welfare level is Corresponding author’s email: [email protected]; [email protected] 18 PRIMYASTANTO determined by income and consumption levels of a. Capital fishermen (Primyastanto et al., 2013c). Most people Capital is focused on value, purchasing power, or around Muncar work as fisherman and also factory power to use money or goods. workers to meet their needs. Fishermen select the type of sailing ship, both slerek or axle types. They b. Cost and Revenue (TC and TR) must get the fish as much as possible to increase the • Total Revenue (TR) income (Hilborn and Walters, 1992). TR = P × Q Many fishing capture in Indonesia use slerekships • Total Cost (TC) and axle ship. Banyuwangi community often use TC = FC + VC two slerek ship(a ship that helped by second ship) and axle ship with one ship, assisted by towing rope c. Revenue Cost Ratio (R/C ratio) nets tool called axle. Slerek ships need more crew and time to pull the rope nets while the axle ship R/C ratio = does need lesser crew because it is assisted with axle to pull the rope nets. The criteria are below: Axle ships in Muncar only owned by high If the value of R/C> 1, then the business is income fishermen because the capital needed is profitable hundreds millions rupiah. Ship that helped by If the value of R/C = 1, then the business is break second ship (slerek type) have greater investment even costs because it uses two ships to operate with the If the value of R/C <1, then the business is loss capital above 1 milliard. It is a fantastic figure to d. Profit start a business with both types of ship. These study purposes are: (1) analyzing the According Primyastanto et al., (2005), profit can be business with axle tool and second ship helper, (2) formulated as follows: analyzing the factors affecting the fish capture of purse seine fishermen. Research Methods e. Break Even Point (BEP) This study uses multiple methods to collect the data 1. Based on unit as interviews, questionnaires and documentation. BEP (Q) = FC/(P -VC) Regression analysis is used to analyze business 2. Based on sales performance. This research is a qualitative and BEP (Rp) = FC/(1-VC/S) quantitative descriptive. Sample is chosen by simple f. Rentability random sampling, technique to gives an equal RU = (Profit/Capital) × 100% opportunity for population to become sample. All Regression Analysis samples member in a simple random sampling have homogeneous characteristics that taken randomly or Dummy regression analysis used by researchers to use random table. There are 190 fishermen that solve the problems regarding the factors affecting chosen randomly 5% presentation to represent the catch and to know the effect of towing rope nets population of this study. Thus the number of tools on fishermen catch. According to Ghozali, I. samples taken in this study is as much as 44 (2009), in Primyastanto et al., (2012a), factors fishermen. The sample is spread across the Muncar affecting the fishermen catch based on dummy harbor. Data is collected from respondents by giving regression model are as follows: CR= β +β SD +β CN +β FD + β FE + β EP + β SF questionnaire and meet with ship owners and 0 1 2 3 4 5 6 + β GT + β D + eu marine leader in harbor and around the Kedungrejo 7 8 village. With following description: Y = Capture Results (CR) Business Profit Analysis X1 = Sailing Distance (SD) Financial analysis is used by researchers to answer X2 = Crew number(CN) the problem formulation regarding business X3 = Fishing Duration (FD) performance of axle ships and shipwith second ship X4 = Fishing Experience (FE) helper (Primyastanto, 2011). X5 = Engine Power (EP) Effect the Usage of Axle and Second Ship Helper on Fish Capture of Purse Seine Fishermen 19 X6 = Sail Frequency (SF) the tools with more favorable catch and estimation X7 = GT of ship factors affecting catch of purse seine fishermen. D1 = 1 ship helped by second ship Research result shows that from all eight (8) D1 = 0 Ships with axle tool independent variables, Sailing distance (X1) does â0 = Intercept not affect significant, while X2 (Crew number) X3 â1-8 = coefficient of regression (Fishing Duration), X4 (Fishing Experience), X5 eu = Standard Error (Engine Power), X6 (Sail Frequency) and X7 (GT of ship) have significant effect on fish catch. RESULTS AND DISCUSSION The constant value is -2.748 with regression coefficient (B) for each variable are 0.150 for X1 (sailing distance), -0.100 for X2 (Crew number), 1. Business Performance Analysis 0.184 for X3 (fishing duration), 0.181 for X4 (fishing Research results show that business analysis for ship experience), 1.272 for X5 (engine power), 0.136 for with axle tools produce income of Rp. X6 (sail frequency), 0.375 for X7 (GT of ship) and 184.090.909,00, R/C ratio of 1.58, profit of 0.143 for D variable (dummy). Therefore, the Rp.66.899.712,00. BEP sales of Rp. 21,953,703.00 and equation can be state as follows: β β β β β β β BEP unit of 4,390 kg. Profitability is 58.49%. Business CR= 0 + 1SD + 2CN + 3FD + 4FE + 5 EP + 6 SF β β u analysis for ship with second boat produces income + 7 GT + 8 D + e of Rp.306.590.909,00, R/C ratio of 1.60, profit of 115,671,596.00. BEP sales of Rp.28.739.225,00 and CR= -2,748 + 0,150 SD – 0,100 CN + 0,184 FD + BEP unit of 5,747 kg. Profitability is 60.22%. 0,181 FE+ 1,272 EP + 0,136 SF + 0,375 GT + 0,143 D + Performance of ship with axle tools is smaller than eU ship with second ship.
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