Open AccessThe mapping and analysis of minapolitan innovation network-based on capture fisheries, Pekalongan City
Author(s) -
Ophirtus Sumule,
W I Angkasa,
H W Retno
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/564/1/012066
Subject(s) - social network analysis , business , christian ministry , cohesion (chemistry) , solidarity , value (mathematics) , fisheries science , network analysis , industrial organization , knowledge management , fishery , computer science , fisheries management , social capital , sociology , engineering , political science , social science , chemistry , electrical engineering , organic chemistry , machine learning , politics , law , fishing , biology
Pekalongan City is one of the cities appointed by the Ministry of Marine Affairs and Fisheries to be developed as a capture fisheries-based minapolitan area. In order to boost production during the Minapolitan Area development, it is required to establish Production Development Activities packages, and one of them is Research and Development Package. Furthermore, to dynamize the flow of knowledge, innovation, and diffusion, and to learn within the framework of the Innovation System, an innovation network is needed. The initial step in developing an innovation network is by mapping and analyzing innovation networks. The purpose of this study is to map and analyze the minapolitan innovation network based on capture fisheries in Pekalongan City. Innovation network analysis is conducted using Social Network Analysis (SNA) method developed by Analytic Technologies Harvard. This SNA method is used to get a general picture of the interaction patterns of actors/institutions/actors that occur in innovation networks. The results of the analysis show that the density value of the capture fisheries-based minapolitan innovation network is 0.15 for the knowledge flow and 0.04 for the business flow. Hence it can be concluded that it is not a complete innovation network (the value of complete network density = 1). The level of connectivity between actors in this innovation network is still small, thus shows the social cohesion or solidarity among actors is still weak.