scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

scholarly journals Additional Value and Business Efficiency of Various Processing Bananas Product in The Border Area of Sebatik Island

Agro Ekonomi ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 83
Author(s):  
Fairuz Indana ◽  
Irham Irham ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Efficiency Analysis ◽  
Added Value ◽  
Data Envelopment ◽  
Border Area ◽  
Banana Production ◽  
Business Efficiency ◽  
Dea Method ◽  
Additional Value

People who are living in banana production centers such as Sebatik Island have the opportunity to develop the products. Therefore, the purpose of this research are: (1) to know the added value from banana processing business in the border area of Sebatik Island and (2) to know the relative efficiency level of each banana processing business in the border area of Sebatik Island. The method used in this research was the added value of Hayami method which is to know the added value and the Data Envelopment Analysis (DEA) method of CCR with input orientation which is to know the relative efficiency level of banana processing business. The study of the added value of various proceed banana in the border area of Sebatik Island showed that the banana processing commodities provided an average added value of  IDR 16,375.28 /kg. The relative efficiency analysis of 15 DMU of banana processing agroindustry showed that most of the banana processing agroindustry in the border area of Sebatik Island is not efficient yet. 40% of banana processing agroindustry is efficient and other 60% is inefficient. The average relative efficiency value of banana processing agroindustry is 0.737.

scholarly journals Pineapple Chips Business Efficiency Analysis In Kampar Regency Riau Province Using Data Envelopment Analysis (DEA) Method

Agro Ekonomi ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 64
Author(s):  
Riska Dian Oktari ◽  
Lestari Rahayu Waluyati ◽  
Any Suryantini
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Research Result ◽  
Added Value ◽  
Data Envelopment ◽  
High Profit ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Pineapple chips is a processed product made of pineapple produced in Kampar Regency. Efficient pineapple chips processing will produce both an added value and high profit. The purpose of this research was to determine the level of relative efficiency of pineapple chips business in Kampar Regency in Riau Province. The level of efficiency achieved is a reflection of the quality of good performance. This research used Data Envelopment Analysis (DEA) method to measure the level of efficiency. An analysis using Data Envelopment Analysis (DEA) method with Constant Return to Scale (CRS) assumption through input oriented approach was done to understand the levels of the pineapple chips producers relative efficiency. The research result showed that Most of the pineapple chips producers in Kampar Regency had not been efficient in relative terms, in which from the total of 21 pineapple chips producers, 8 producers were efficient (38,10%) and 13 producers had not been efficient (61,90%). The efficient producers should be a reference for inefficient producer in using inputs. By referring to the efficient producers, it is expected that the inefficient producers could use the input optimally so that the processing pineapple chips business could reach an efficient condition.

scholarly journals ANALISIS EFISIENSI KREDIT MODAL VENTURA UNTUK NELAYAN PERIKANAN TANGKAP (Studi Kasus Nelayan di Kabupaten Tegal)

2017 ◽  
Vol 5 (1) ◽  
pp. 65
Author(s):  
Benny Osta Nababan ◽  
Yesi Dewita Sari
Keyword(s):  
Data Envelopment Analysis ◽  
Coastal Area ◽  
Relative Efficiency ◽  
Secondary Data ◽  
Efficiency Analysis ◽  
Data Envelopment ◽  
Research Results ◽  
Input Variables

Penelitian ini bertujuan untuk mengetahui efisiensi relatif pemberian kredit modal ventura terhadap nelayan di Kabupaten Tegal yang melakukan penangkapan menggunakan alat tangkap cantrang. Data yang digunakan terdiri dari data primer dan sekunder. Data Envelopment Analysis (DEA) digunakan untuk mengetahui efisiensi relatif nelayan penerima kredit ventura dibandingkan nelayan bukan penerima. Analisis juga dikembangkan dengan menggunakan 2 skenario yaitu maksimisasi output dan minimisasi biaya. Hasil penelitian menunjukkan bahwa dengan menggunakan seluruh variabel input dan output, maka 6 dari 7 nelayan penerima kredit ventura efisien 100% dan hanya 2 nelayan responden tidak menerima kredit ventura yang memiliki efisiensi 100%. Berdasarkan skenario 1 dan 2, hanya 2 nelayan penerima kredit ventura yang mengalami efisiensi 100%; sedangkan yang lainnya berkisar antara 70% - 100%. Nelayan tidak menerima kredit ventura memiliki efisiensi < 70%. Pemberian kredit modal ventura dapat meningkatkan efisensi usaha perikanan tangkap terutama bagi nelayan yang melakukan penangkapan jauh dari pantai. Tittle: Efficiency analysis of Ventura Capital Credit for Fisher's Household (Case Study of Fishers in Tegal District)This research aimed to understand relative efficiency of the ventura credits to Tegal district's fishers whose cantrang fishing unit. This research used primary and secondary data and applied Data Envelopment Analysis (DEA) to find out relative efficiency of fisher who receive the ventura credit, and compare it with the fishermen without ventura credit. By using two scenarios of maximization output and minimization input, this research results show that using all output and input variables, six of seven fishers received ventura credit have a relative efficiency of 100% and only 2 fishers not received the ventura credit have relative efficiency 100%. Based on first and second scenarios, 2 fishers received ventura credit have a relative efficiency of 100% and others have a relative efficiency ranging from 70% to 100%. Fishers who are not received ventura credit have a relative efficiency less than 70%. Ventura credit enables to increase relative efficiency of fishers, especially for those who fishing beyond coastal area

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

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