| dc.contributor.author | Handayani, Harina | |
| dc.date.accessioned | 2017-08-16T04:01:17Z | |
| dc.date.available | 2017-08-16T04:01:17Z | |
| dc.date.issued | 2017-07-22 | |
| dc.identifier.citation | [1] Arsyad, L. 1999. Ekonomi Pembangunan. Edisi Keempat. Yogyakarta: Bagian Penerbitan STIE- YKPN [2] BPS. 2015. Profil Industri Mikro dan Kecil 2015. Jakarta: CV Invitama Abadi [3] Bunkers, M.J & Miller, J.R. 1996. Definition of Climate Regions in the Northern Plains Using an Objective Cluster Modification Technique. Journal of Climate. Vol.9, pp. 130-146. [4] Kuncoro, M. 2003. Metode Riset Untuk Bisnis dan Ekonomi. Jakarta: Erlangga. [5] Lestari, Wiji. 2014. Sistem Clustering Kecerdasan Majemuk Mahasiswa Menggunakan Algoritma Self Organizing Maps (Som). Stmik Duta Bangsa Surakarta. (Vol.1 No.1) [6] Siang, Jok Jek. (2005). Jaringan Syaraf Tiruan dan Pemrogramannya Menggunakan MATLAB. Yogyakarta: Andi Offset. [7] Tambunan, Tulus TH. 2001. Transformasi Ekonomi di Indonesia. Jakarta: Salemba. [8] Undang-Undang No. 20 Tahun 2008. Kementrian Koperasi dan Usaha Kecil dan Menengah. | in_ID |
| dc.identifier.issn | 2460-0784 | |
| dc.identifier.uri | http://hdl.handle.net/11617/9236 | |
| dc.description.abstract | Micro and small industries are strategic and important force to accelerate regional development. This sector is shown to contribute significantly to Gross Domestic Revenue and employment. In addition, Micro and Small Industries have an important position in terms of equity distribution in the regions and reducing income gaps. The purpose of this research is to know the characteristics and result of grouping province in Indonesia based on growth and income problem micro and small industries. The variables that used are number of companies (unit), number of workers, total expenditure, total income, education level of entrepreneurs, and source of capital. The author analyzed grouping of micro and small industries by using Self Organizing Maps to analyze the data and for cluster validation used cluster variance. From the analysis that used Self Organizing Maps obtained the conclusion of the validation results used cluster variance concluded that the grouping of micro and small industries based on provinces in Indonesia on 2015 good to be grouped into 4 groups. | in_ID |
| dc.language.iso | id | in_ID |
| dc.publisher | Muhammadiyah University Press | in_ID |
| dc.subject | Micro and Small Industry | in_ID |
| dc.subject | Self Organizing Maps | in_ID |
| dc.subject | Cluster Variance | in_ID |
| dc.title | Pengelompokkan Industri Mikro dan Kecil di Indonesia menggunakan Kohonen Self Organizing Maps (SOM) | in_ID |
| dc.type | Article | in_ID |
