Penerapan Metode Analytic Hierarchy Process untuk Merumuskan Strategi Penguatan Kinerja Sistem Agribisnis Cabai Merah di Kabupaten Temanggung

Kinerja agribisnis yang baik dipengaruhi oleh pembangunan subsektor agribisnis hulu, subsektor pertanian primer, subsektor agribisnis hilir dan subsektor jasa penunjang secara simultan dan harmonis. Penelitian ini bertujuan untuk merumuskan strategi penguatan kinerja agribisnis cabai merah di kabupaten Temanggung. Pemilihan daerah dilakukan secara purposive di kecamatan Bulu dan Tlogomulyo, kabupaten Temanggung. Penelitian dilakukan pada bulan Desember 2010 dengan menggunakan pendekatan focused grup discussion (FGD) dan wawancara yang melibatkan 15 orang keypersons. Penelitian ini menggunakan Teknik analisis deskriptif kuantitatif dan analytic hierarchy Process (AHP). Hasil analisis AHP menunjukkan bahwa terdapat tiga prioritas utama yang perlu dilaksanakan dalam strategi penguatan kinerja agribisnis cabai merah di Kabupaten Temanggung adalah penyediaan dan akses modal yang diperuntukkan bagi USAhatani cabai merah, pendampingan penerapan teknologi budidaya yang tepat kepada petani, dan pemerintah menyediakan sarana pasar agro yang bisa menampung hasil budidaya hortikultura di kabupaten Temanggun

Оцінка придатності корпоративних програмних додатків для переходу на хмарні обчислення

У статті розглянуто використання методики Analytic Hierarchy Process для оцінки придатності корпоративних програмних застосувань для роботи в хмарі, запропоновано покроковий підхід для визначення придатності корпоративних застосувань для роботи в хмарі, грунтуючись на методиці Analytic Hierarchy Process(AHP).In the article the use of method of Analytic Hierarchy Process is examined, because estimation of fitness of corporate programmable applications for work in a cloud, incremental approach is offered for determination of fitness of corporate applications for work in a cloud, based on the method of Analytic Hierarchy Process (AHP)

The Analytic Hierarchy Process, Max Algebra and Multi-objective Optimisation

The Analytic Hierarchy Process (AHP) is widely used for decision making involving multiple criteria. Elsner and van den Driessche introduced a max-algebraic approach to the single criterion AHP. We extend this to the multi-criteria AHP, by considering multi-objective generalisations of the single objective optimisation problem solved in these earlier papers. We relate the existence of globally optimal solutions to the commutativity properties of the associated matrices; we relate min-max optimal solutions to the generalised spectral radius; and we prove that Pareto optimal solutions are guaranteed to exist.Comment: 1 figur

WHY FUZZY ANALYTIC HIERARCHY PROCESS APPROACH FOR TRANSPORT PROBLEMS?

The evaluation of transport projects has become increasingly complex. Different aspects have to be taken into account and the consequences of the problems are usually far reaching and the different policy alternatives are numerous and difficult to predict. Several pressure or action groups have also emerged causing an even more complex decision making process. The use of multi criteria analysis for the evaluation of transport projects has increased due to this increasing complexity of the problem situation. At the same time, the importance of stakeholders within this evaluation process should have been recognized. Researches on transport projects are generally carried out to provide information to policymakers that have to operate within restrictive parameters (political, economical, social, etc…). Researchers should therefore take greater account of the different priorities of stakeholders such as policymakers, private enterprises and households. These stakeholders should be incorporated explicitly in the evaluation process. The Analytic Hierarchy Process is one of the Fuzzy Multiple Criteria Decision Making methods. It can be applied in a very broad range of applications of decision problems. Logistics, urban planning, public politics, marketing, finance, education, economics are a part of this wide application area. In transport subjects it can be used for the evaluation of transport policy measures or decision making problems. Due to its wide range application area, it has been an exciting research subject for many different field researchers. The aim of this paper is to introduce AHP method and to offer how to benefit it for the preference of urban planners in transport problems. This paper is composed of two main parts. First part consists of the literature survey regarding with the AHP and its application areas. The advantage of methods had been mentioned. Second part focuses on a sample application of AHP technique. The study uses AHP technique to determine the selection criteria in the transhipment port selection decision-making process. Keywords: Analytic Hierarchy Process, Multi criteria analysis, Transshipment port selection.

DECISION SUPPORT AT THE LOGISTIC MANAGEMENT STRATEGY

Nowadays logistics more and more often becomes the strategic issue from thepoint of view the organization aiming at reaching success in lead of its activity. The standardprocess of strategic logistics planning and management is usually periodical and the chanceof cooperation with changes in the environment of the company is missing. The paperpresents the process of logistics planning and its integration with the decision support systembased on the hierarchic analytic process - AHP (Analytic Hierarchy Process).logistics, logistic management, decision support system

Ranking Electoral Systems through Hierarchical Properties Ranking

Electoral systems are characterized by a wide spectrum of properties that cannot be all satisfied at the same time. We aim at examining such properties within a hierarchical framework, based on Analytic Hierarchy Process, performing pairwise comparisons at various levels of a hierarchy to get a global ranking of the electoral systems. In this way it should be possible to estimate the relative importance of each property with respect to the final ranking of every electoral formula.Electoral systems, global ranking, hierarchy, aggregations