Abstract
Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space to solve various problems related to the decision making process. This study aims to develop a Group Decision Support System (GDSS) model for determining regional development priorities in the future. An alternative approach in the form of developing a GDSS model is carried out so that it can be used to determine regional development priorities that are able to combine analysis of data on development results and subjectivity of policy makers. It means, policy-enforcing subjectivity still exists but the results of development data analysis are also used. This model combines the GDSS concept, MVHAC cluster technique and Item-based Cluster Hybrid Method (ICHM) to accommodate joint decision making from each group decision maker. The results of the testing of the model developed against six regions in Banten Province show that there are three regions that must be prioritized in the future. Those are Pandeglang, Lebak and Kota Serang.
Highlights
Regional development theory is inseparable from the concept of economic development gap in a region (Munandar et al, 2016)
Data collection was conducted in two stages, first collecting secondary data from the Banten Province Statistics Center, secondly distributing online questionnaires to each member of Group Decision Maker (GDM) to conduct regional development assessments that were the object of research based on real facts in the field
The assessment of the priority areas of each GDM is presented in the form of a questionnaire in which each GDM member is asked to choose a region which he thinks must be prioritized in future development activities
Summary
Regional development theory is inseparable from the concept of economic development gap in a region (Munandar et al, 2016). There are many measuring instruments commonly used to identify development gaps such as the Klassen typology (Hariyanti and Utha, 2016; Suwandi, 2015; Endaryanto et al, 2015; Fattah and Rahman, 2013; Karsinah et al, 2016) and Location Quotient (Sinaga, 2015; Bakaric, 2005). The results of the analysis of these two approaches are usually used to determine development priorities in the future. On the other hand the results of analysis of development data with tools such as Klassen and LQ often contradict reality. Many statistical data that display the results of development is very good from an area, it happens quite the opposite. Subjectivity is an important part of determining the direction of regional development priorities. Subjective judgments often arise because they see first hand the facts that occur and there is nothing wrong with that
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