Evaluasi kinerja program studi merupakan kegiatan yang perlu dilakukan untuk terus meningkatkan kualitas pendidikan ada di dalamnya. Penelitian ini bertujuan mengevaluasi Fakultas Teknik Universitas Bhayangkara Surabaya dengan menggunakan metode Data Envelopment Analysis (DEA). DEA pendekatan non parametrik berbasis linear programming efisiensi dari suatu unit kerja atau Decision Making Unit (D...

This paper analyses the labour efficiency in Andalusia, and takes into account demographic characteristics of Andalusian municipalities. Data Envelopment Analysis (DEA) is methodology employed. The results obtained indicate differences at municipal level that depend on geographical arrangement, with provincial capitals being least efficient. An inverse relationship established between size muni...

Data envelopment analysis (DEA) measures relative efficiency among the decision making units (DMU) without considering noise in data. The least efficient DMU indicates that it is in the worst situation. In this paper, we measure efficiency of individual DMU whenever it losses the maximum output, and the efficiency of other DMUs is measured in the observed situation. This efficiency is the minim...

For better guiding a system, senior managers should have accurate information. Using Data Envelopment analysis (DEA) help managers in this objective. Thus, many investigations have been made in order to find the most productive scale size (MPSS) for the evaluating decision making units (DMUs). In this paper we consider this case where there exist subsets of input and output variables to be inte...

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about efficient units. Super-efficiency DEA models can be used in ranking the performance of efficient DMUs. This research proposes a methodology to determine an Euclidean dist...

Aggregation of corporate social performance (CSP) metrics poses a major challenge to researchers and practitioners. This study provides a critical evaluation of current aggregation approaches and proposes a new methodology based on Data Envelopment Analysis (DEA) to compute a CSP index. DEA is independent of subjective weight specifications and provides an efficiency index to benchmark the CSP ...

Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. After pointing out needs for inclusion of them in DEA models, we propose a slacks-based network DEA model that can deal with intermediate products. Using this model we can ...