Ranking Method in Group Decision Support to Determine the Regional Prioritized Areas and Leading Sectors using Garrett Score

Abstract

The main objective of regional development is to achieve equal development in different regions. However, the long duration and complexity of the process may result in the unequal development of some regions. In order to achieve a fair development process for each region, a standard approach must be developed to select a suitable priority area that can support other underdeveloped regions that require attention. One of the approaches taken is to determine the prioritized areas and the leading sectors in the region where the region is expected to be a support for other regions that still need attention and handling on development priorities. This research was conducted to provide a new alternative in the process of determining the prioritized areas, not only by observing the development data, but also involving decision-making components consisting of government and community (including non-governmental organizations and academicians). This study used group decision support approach with the Garrett ranking technique. The results of the research on the determination of the prioritized areas using Garret Score showed that there are 5 of 29 Regencies/Municipalities in Papua Province that can be used as prioritized areas, namely Jayapura Regency, Jayapura Municipality, Mimika, Merauke and Nabire. Then, there are three leading sectors for development, namely agricultural, mining and Industrial and Processing sectors. The test of ranking results was conducted by calculating the Spearman's correlation coefficient of the Garrett ranking results and obtained a coefficient of 0.807 which means that the ranking results are very strong.

Classification of Agriculture Area based on Superior Commodities in Geographic Information System

“…Cluster analysis is a statistical analysis that aims to group objects based on similar characteristics. These objects will be grouped into one or several groups (clusters) which are identical [13]. The hierarchical method is a cluster analysis that forms certain levels, such as in a tree structure, because the clustering process is carried out in stages and tiers [22].…”

“…The proposed classification model for mapping agriculture areas combines two methods, Location Quotient (LQ) and Single Linkage, which aims to determine hierarchically based on regional potential. Using the LQ method to determine the regionally superior food crop commodities in Merauke Regency [13], the classification model produces the best commodity types based on the LQ value > 1. The results are then used as a feature for cluster analysis of agricultural areas using the single linkage method, so the classification accuracy is high.…”

User preferences towards select attributes of digital reading

“…The potential of Garrett ranking technique in identifying user preferences in a scientific way is established through various literature such as (Dhanavandan, 2016), (Geetha & Prabu, 2020), (Ismanto, Azhari, & Arsyad, 2018), (Rao, Kalvakolanu, Sarma, & Kumar, 2019), (Ao & Jamir, 2020) and (Sanghvi, Talati, & Misra, 2017). Under this method, the percentage position is first computed using the formula, Percent position = 100(Rij-0.5)/Nj Where, Rij is the rank given for i th variable by j th respondent Nj is the number of variables ranked by the j th respondent Using the above formula, the percentage value was first identified.…”