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.

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 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.

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

scholarly journals POTENTIAL PRODUCTION OF THE FIVE PREDOMINANT SMALL PELAGIC FISH SPECIES GROUPS IN THE JAVA SEA

2014 ◽  
Vol 20 (2) ◽  
pp. 59 ◽  
Author(s):  
Purwanto Purwanto ◽  
Duto Nugroho ◽  
Suwarso Suwarso
Keyword(s):  
Fish Species ◽  
Fishing Effort ◽  
Maximum Sustainable Yield ◽  
Pelagic Fish ◽  
Fish Stock ◽  
Potential Production ◽  
Small Pelagic Fish ◽  
Java Sea ◽  
Species Groups ◽  
Pelagic Fishery

The Java Sea is one of the important fishing areas for small pelagic fishery in Indonesia. The production of the fishery was dominated by five fish species groups. To support the management of  that  fishery,  an  assessment  of  the  stock  of  the  five  predominant  small  pelagic  fish  species groups was conducted. Based on the result of analysis, the maximum sustainable yield (MSY) of the stock of five predominant small pelagic fish species was about 244.6 thousand tons. Meanwhile, the MSY of the stock of the whole exploitable small pelagic fish species was about 315.5 thousand tons. The optimum fishing effort (EMSY) was 1032 units. The total fishing effort was higher than EMSY and the fish stock was likely over-exploited since 2000. To ensure the optimal fish production of the small pelagic fish stock in the Java Sea, it is necessary to recover fish stock by controlling fishing effort to EMSY. The time which it takes for the fish stock to recover was about two years when fishing effort was reduced from its level in 2009 to EMSY.

scholarly journals Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

2021 ◽  
Vol 13 (12) ◽  
pp. 6801
Author(s):  
Guo-Ya Gan ◽  
Hsuan-Shih Lee ◽  
Yu-Jwo Tao ◽  
Chang-Shu Tu
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Protection ◽  
Green Energy ◽  
Programming Approach ◽  
Data Envelopment ◽  
Container Handling ◽  
Dea Method ◽  
Green Port ◽  
Large Container ◽  
Gantry Cranes

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

scholarly journals Benchmarking—A Way of Finding Risk Factors in Business Performance

2021 ◽  
Vol 14 (5) ◽  
pp. 221
Author(s):  
Jarmila Horváthová ◽  
Martina Mokrišová ◽  
Mária Vrábliková
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Heat Supply ◽  
Business Performance ◽  
Data Envelopment ◽  
Performance Factors ◽  
Best Value ◽  
Target Values ◽  
Dea Method ◽  
Comparison Of The Results

The purpose of this study was to emphasize that the Data Envelopment Analysis (DEA) method is an important benchmarking tool which provides necessary information for improving business performance. To fulfil the abovementioned goal, we used a sample of 48 Slovak companies involved in the field of heat supply. As their position in the economic and social environment of the country is essential, considerable attention should be paid to improving their performance. In addition to the DEA method, we applied the Best Value Method (BVM). We found that DEA is a highly important benchmarking tool, as it provides benchmarks for units that have problems with performance and helps us to reveal risk performance factors. The DEA method also allows us to determine target values of indicators. The originality of this paper is in its comparison of the results of the BVM and the DEA methods.

scholarly journals The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia

2008 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Empirical Evidence ◽  
Financial Institutions ◽  
Economies Of Scale ◽  
Financial Intermediaries ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Parametric Data ◽  
Dea Method

This paper investigates the performance of Malaysian non-bank financial institutions during the period of 2000-2004. Several efficiency estimates of individual NBFIs are evaluated using the non-parametric Data Envelopment Analysis (DEA) method. The findings suggest that during the period of study, scale inefficiency outweighs pure technical inefficiency in the Malaysian NBFI sector. We find that the merchant banks have exhibited a higher, technical efficiency compared to their peers. The empirical findings suggest that scale efficiency tends to be more sensitive to the exclusion of risk factors, implying that potential economies of scale may be overestimated when risk factors are excluded.  

scholarly journals Bad Debt and Cost Efficiency in Vietnamese Commercial Banks

2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Direct Relationship ◽  
Data Envelopment ◽  
Dea Method ◽  
Two Stages ◽  
The Cost ◽  
The Relationship ◽  
Bad Debt

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.

EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

2021 ◽  
pp. 2150010
Author(s):  
DO THI THANH NHAN ◽  
KIM-HUNG PHO ◽  
DANG THI VAN ANH ◽  
MICHAEL MCALEER
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Resource Analysis ◽  
Scientific Disciplines ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

scholarly journals TOTAL FACTOR OF PRODUCTIVITY AND ITS COMPONENTS: EVIDENCE FROM CEMENT - AND ENERGY SECTORS OF PAKISTAN

2018 ◽  
Vol 9 (1) ◽  
pp. 55 ◽  
Author(s):  
Razzi Abbas Jafri ◽  
Shahbaz Khan ◽  
Muhammad Haroon Shah ◽  
Nida Baig
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Change ◽  
Annual Reports ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Financial Firms ◽  
Tfp Growth ◽  
Time Period ◽  
Dea Method

This study employs “Data Envelopment Analysis (DEA)” method to calculate the “Total Factor Productivity (TFP)” growth and its components of 19 non-financial firms from Cement and Energy sectors of Pakistan listed on ISE-100 Index during the time period 20052011. The research focuses on to identify the factors like, technical change and technical efficiency change tends to influence the TFP of cement -and energy sectors of Pakistan. We use hand collected data from the annual reports of these non-financial firms included in our sample. Results show that cement sector has an overall positive TFP growth of 9.7%, and energy sector has an overall TFP growth of 1.5% during the study period. The study may assist us to recognize the extent to which these components can affect the TFP of a sector, and will further help us to explore new ways to boost up the productivity of these sectors which in turn may be beneficial to move country towards a sustainable path.

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