Application of AHP Method in Determining Priorities of Conversion of Unusedland to Food Land in Minahasa Tenggara

Setiawan, Adi; Sediyono, Eko; Moekoe, Dirk A. L.

doi:10.5120/15526-4433

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…The assessment was performed by the decision makers who are experts in the field of issues that are being analyzed and who have an interest to it. Assessment criteria and alternatives do with making judgments on the relative importance between the two elements at a certain level in relation to the level above it (Setiawan, et al, 2014). Through pair wise comparison of elements of decision, this is done by using a rating scale (scale of 1 to 9 and the reverse).…”

Section: Methodsmentioning

confidence: 99%

Main Priorities in Value Added Improvement-Based on Commodity Processing System

Nihayah

Pujiati

Khoiruddin

2017

jejak

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The huge number of rambutan plants in Gunungpati has resulted in the decline of rambutan sales price during harvest season, i.e. Rp 1,500.00 per pack, any unsold rambutan tends to immediately wilt, break and deteriorate. This research is aimed to the sequence of commodity processing priority in order to increase the products value-added. This study is an action research, using descriptive statistic and Analytical Hierarchy Process (AHP). The results indicate that a counseling since production until post-harvest becomes the highest priority, followed by produce sorting, and availability of produce processing technology. It is necessary to have practical field-based initiatives of businesses farmers who have managed to do the innovations, competitive advantage, and then to rise the competitiveness. To make this value-added-based horticulture commodity processing system work, Government role is required to guiding and evaluating every policy priorities.

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Section: Methodsmentioning

confidence: 99%

Main Priorities in Value Added Improvement-Based on Commodity Processing System

Nihayah

Pujiati

Khoiruddin

2017

jejak

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“…For example, Table 3 which was derived from Saaty's book, in which a set of judgments for the corresponding value from large samples of matrices for the computation of consistency ratio, in which the upper row is the order of the random matrix, and the lower row is the corresponding index of the consistency for random judgments referred to as random index Accept the matrix if consistency ratio is less than 0.1 or 10%. Higher numbers indicates that the comparisons are less consistent, while smaller numbers mean comparison are more consistent, CR above 0.1 or 10% indicates that the pairwise comparisons should be revisited or reversed (Setiawan et al, 2014). (4) Ranking method: This is one of the simplest approaches to assign criteria weights.…”

Section: Odu Gomentioning

confidence: 99%

Weighting methods for multi-criteria decision making technique

Odu¹

2019

Journal of Applied Sciences and Environmental Management

211

131

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Determining criteria weights is a problem that arises frequently in many multi-criteria decision-making (MCDM) techniques. Taking into account the fact that the weights of criteria can significantly influence the outcome of the decision-making process, it is important to pay particular attention to the objectivity factors of criteria weights. This paper provides an overview of different weighting methods applicable to multi-criteria optimization techniques. There are a lot of concept been reported from the literature that are very useful in solving multicriteria problems. The present work emphasized on the use of these weighting methods in determining the criteria preference of each criterion to bring about desirable properties and in order to establish and satisfy a multiple measure of performance across all the criteria selected by identifying the best options possible. And from the results, it shows that subjective weighting methods are easy and straight forward in terms of their computations than the objective weighting methods which derived their information from each criterion by adopting a mathematical function to determine the weights without the decision-maker's input,. This can be seen from the pairwise comparison which gives an internal storage and random access memory of a smart phone a weight value of 0.33 and 0.22 respectively as they have the highest criteria weights.

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“…Random distribution, also known as Saaty random consistency index, is well documented by Saaty [38] and widely used in literature. As a reference, Table 7 shows values for RI, based on a number of criteria [39].…”

Section: Intensity Of Importancementioning

confidence: 99%

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

et al. 2020

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Industry 4.0 is having a great impact in all smart efforts. This is not a single product but is composed of several technologies, one of them being Industrial Internet of Things (IIoT). Currently, there are very varied implementation options offered by several companies, and this imposes a new challenge to companies that want to implement IIoT in their processes. This challenge suggests using multi-criteria analysis to make a repeatable and justified decision, requiring a set of alternatives and criteria. This paper proposes a new methodology and comprehensive criteria to help organizations to take an educated decision by applying multi-criteria analysis. Here, we suggest a new original use of PROMETHEE-II with a full example from weight calculation up to IIoT platform selection, showing this methodology as an effective study for other organizations interested in selecting an IIoT platform. The criteria proposed stands out from previous work by including not only technical aspects, but economic and social criteria, providing a full view of the problem analyzed. A case of study was used to prove this proposed methodology and finds the minimum subset to reach the best possible ranking.

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Application of AHP Method in Determining Priorities of Conversion of Unusedland to Food Land in Minahasa Tenggara

Cited by 11 publications

References 2 publications

Main Priorities in Value Added Improvement-Based on Commodity Processing System

Main Priorities in Value Added Improvement-Based on Commodity Processing System

Weighting methods for multi-criteria decision making technique

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

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