Title | : | MODIFIED AGGLOMERATIVE CLUSTERING WITH LOCATION QUOTIENT FOR IDENTIFICATION OF REGIONAL POTENTIAL SECTOR |
Author | : |
Munandar Hasan (1) Dr. Azhari, MT. (2) Aina Musdholifah, S.Kom., M.Kom. Ph.D (3) Lincolin Arsyad, Prof. Dr., M.Sc. (4) |
Date | : | 2017 |
Keyword | : | GDRP, HAC, LQ, MACLoQ, Potential Sector GDRP, HAC, LQ, MACLoQ, Potential Sector |
Abstract | : | Clustering studies, especially on the hierarchical agglomerative cluster (HAC) have proliferated over the recent years. Many studies used several HAC techniq ues to identify the proximity of one object of a da ta with another objects to find correlations between b oth for specific needs. Some studies in regional economics field utilizied this technique for to ide ntify gaps of development by observing the proximit y of achievements of development among regions. But ther e have been a few discussion related to identifying potential sectors owned in certain regions regardin g using this technique. This research was conducted to develop a hybrid algorithm between HAC with Locatio n Quotient (LQ) for potential sectors owned by a certain region. Data on sector of PDRB / GDRP in 31 regencies in Central Java province in 2012 are used to test the developed algorithms. The result showed that 279 of Sector Data of PDRB / GDRP were divided into two main group, i.e. the cluster LQ > 1 reache s as many as 125 Sector data from different regenci es (as a potential sectors of a region). The remaining 154 sector data were classified into into cluster LQ < 1(as a non-potential sectors of a region). |
Group of Knowledge | : | Ilmu Komputer |
Original Language | : | English |
Level | : | Internasional |
Status | : |
Published
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