scholarly journals Analisis Kapasitas Perikanan dengan Pendekatan Data Envelopment Analysis (DEA) di Perairan Utara Gorontalo

2009 ◽  
Vol 10 (1) ◽  
pp. 23-33
Author(s):  
Abdul Hafidz Olii
Keyword(s):  
Data Envelopment Analysis ◽  
Fishing Effort ◽  
Purse Seine ◽  
Fish Stock ◽  
Fishing Gear ◽  
Data Envelopment ◽  
Fishing Boat ◽  
Gill Net ◽  
Fishing Capacity ◽  
Using Data

Fishing capacity is ability of fishery input (boat) used in output production (catch), it measured by using fishing unit or other fishing gear production. In simple way, fishing capacity is an ability of fishing boat (with all aspects) to capture fish. This ability will depend on the fish stock to be captured (seasonally or yearly) and the ability of the fishing gear itself. The aims of this research are to analyze technical efficiency and capacity of capture fishery in between years, of fishing gear and of purse seine. Research location was in the northern water of Gorontalo. Data was analyzed using data envelopment analysis (DEA). The development of capture fishery in 20 years since 1986 - 2005 of the northern water of Gorontalo showed that 1995, 2003 and 2005 are the most efficient years compared to other years, therefore, these years can be used as a basic of allocating fishing effort and catch. The most efficient fishing gear was purse seine and line, whereas gill net is an inefficient fishing gear. For purse seine, there are 11 boats that have efficiency value of 1. In order to reach efficiency level of each purse seine, it needs to decrease the number of input such as reducing 27.97 percent of boat, reducing the length of fishing duration to 29.49 percent,reducing the length of fishing trip / tonnage month to 26.87 percent and reducing fishing operation cost to 15.67 percent.

scholarly journals TINGKAT KAPASITAS PENANGKAPAN ARMADA PUKAT CINCIN PEKALONGAN BERDASARKAN PADA MUSIM PENANGKAPAN

2017 ◽  
Vol 15 (4) ◽  
pp. 313
Author(s):  
Hufiadi Hufiadi ◽  
Eko Sri Wiyono
Keyword(s):  
Technical Efficiency ◽  
Capacity Utilization ◽  
Purse Seine ◽  
Data Envelopment ◽  
Monsoon Period ◽  
Utilization Factor ◽  
The North ◽  
Fishing Capacity ◽  
Java Sea ◽  
Using Data

Pengelolaan kapasitas penangkapan berikut metode pengukurannya sudah menjadi isu penting dalam pengeloiaan sumber daya pelagis kecil di Laut Jawa. Alternaiif pendekatan melalur pengendalian faktor faklo nputyang tidak efisien yang digunakan dalam usaha penangkapan. Tujuan penelitian ini adalah mengukur tingkat efisiensi teknis dan pemanfaatan kapasitas alat tangkap pukat cincin di Pekaiongan. Efisjensi penangkapan dan pemanfaatan kapasitas dari alat tangkap pukai cincin yang dikaji dianalisis berdasarkan pada musim penangkapan. Hasil penelitian menunjukkan bahwa pemanfaaian kapasitas jauh melebihr dari nilar optimumnya aiau telah terjadi kelebihan kapasitas pemanfaatannya berlangsung terulama pada musim barat. Pemanfaatan kapasitas penangkapan berada pada tingkat yang optimum hanya terjadi pada musinr peralihan I (musim barat ke musim timur). The management of fishing capacity along with measurement methods becomes an inlporlant issue in the small pelagic fisheies management in Java Sea, through altemative approach to contrcl inefficient input factors used in fishing activities. The objectives of tltis study are Io measure lhe level of technical efficiency and utilization capacity of purse seine in Pekalongan. The technical efficiency and utilization capacity were analyzed based on seasons. The fishing efficiency tneasurement was pertormed by using data envelopment analysis. The results show that purse seine ln Pekalongan on r/i/est season mean that fishing capacity utilization factor of the Pekalongan purse serne during the north wesf monsocn peiod exceed the optimum value or excess fishing capacity has been occureed during thai season. Frshing caDacity utilizaton for optmum levet only on n the rnter monsoon period was between March to May.

scholarly journals KAPASITAS PENANGKAPAN PUKAT CINCIN MINI DI PEMALANG

2017 ◽  
Vol 15 (2) ◽  
pp. 171
Author(s):  
Erfind Nurdin ◽  
Tri Wahyu Budiarti
Keyword(s):  
Data Envelopment Analysis ◽  
Capacity Utilization ◽  
Pelagic Fish ◽  
Fish Stock ◽  
Data Envelopment ◽  
Small Pelagic Fish ◽  
Fishing Capacity ◽  
Java Sea ◽  
Fishery Status ◽  
Dea Method

Sumber daya ikan pelagis kecil di Laut Jawa merupakan komoditi perikanan yang penting dan bersifat strategis. Sejalan dengan perkembangan pemanfaatannya, tekanan penangkapan yang tinggi dialami oleh hampir seluruh kawasan, terlebih di wilayah tradisionil. Kapasitas penangkapan akhir-akhir ini menjadi isu penting dalam perikanan global, mengingat di berbagai kawasan terjadi kapasitas berlebih dan penurunan stok ikan. Salah satu cara untuk mengetahui status perikanan terkini dilakukan dengan mengukur kapasitas perikanan. Penelitian ini dilakukan pada bulan Mei dan Juli tahun 2007 dengan metode Data Envelopment Analysis. Nilai rata-rata pemanfaatan variabel input (VIU) untuk daya lampu dan bahan bakar menunjukkan nilai di atas 1 (optimum = 1) yang mengindikasikan adanya kelebihan penggunaan variabel sehingga dipandang perlu untuk melakukan pengurangan variabel input. Nilai pemanfaatan kapasitas (CU) lebih besar dari 0,5 hampir mencapai 60% dari 106 kapal contoh. Hal ini menunjukkan bahwa nilai CU kurang dari 1 mendominansi distribusi perolehan nilai CU yang dapat diartikan telah terjadi kelebihan kapasitas pemanfaatan untuk penangkapan pukat cincin mini dengan basis di Pemalang, sehingga perlu upaya pengurangan kapasitas. Small pelagic fish resource in Java sea is an important fishery commodity. Nowadays high fishing pressure is experienced by mostly fishing areas, particularly in traditional zone. Fishing capacity recently becomes important issue in global fishery, because over capacity and fish stock decreasing is occured in various areas. One method to know the fishery status is by measuring fishery capacity, which is categorized as over capacity, under capacity or optimal condition. This study was carried out on May and July 2007. The method applied in this measurement of fishing capacity was DEA method (Data Envelopment Analysis). The average of variable input utilization for light intensity and fuel showed value of more than 1 (optimum = 1), indicating the usage of excess variable that need to reduce the input variable. The value of higher than 0.5 of capacity utilization showed 60% from 106 ships sample. This indicates that the CU value of less than 1 dominated the distribution of capacity utilization value. For mini purse seine based in Pemalang showed over capacity. This means, it needs to reduce the effort of fishing capacity.

Fishing capacity and capacity utilization of purse seiners using data envelopment analysis

2008 ◽  
Vol 74 (4) ◽  
pp. 730-735 ◽  
Author(s):  
Efthymia V TSITSIKA ◽  
Christos D MARAVELIAS ◽  
Premachandra WATTAGE ◽  
John HARALABOUS
Keyword(s):  
Data Envelopment Analysis ◽  
Capacity Utilization ◽  
Data Envelopment ◽  
Fishing Capacity ◽  
Using Data

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

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