Open AccessClustering on Small-scale Food Manufacturing Industry in West Jakarta: A Fuzzy Analytical Hierarchy Process Approach
Author(s) -
S. Sulistiandi,
B. Marpaung,
Oki Sunardi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/847/1/012093
Subject(s) - analytic hierarchy process , scale (ratio) , cluster analysis , government (linguistics) , hierarchy , fuzzy logic , business , fuzzy clustering , manufacturing , cluster (spacecraft) , process (computing) , industrial organization , operations research , operations management , marketing , computer science , engineering , economics , geography , artificial intelligence , cartography , linguistics , philosophy , programming language , market economy , operating system
The small-scale food manufacturing industry has become the most dominant sector in Jakarta, in terms of number and manpower absorption. However, they are challenged with slow growth rates, indicated by their inability to meet national demands. The Government believes that the small-scale food manufacturing industry in Jakarta was formed without comprehensive planning, and yet, they are spread throughout Jakarta. This study aims to cluster the small-scale food manufacturing industry, which was focused on the West Jakarta area as a pilot project. By employing the Fuzzy Analytical Hierarchy Process (Fuzzy AHP), five criteria were considered during the assessment: availability of land, suppliers, facilities and infrastructure, labor, and markets. As a result, an area clustering map was proposed.