STRATEGI PENGEMBANGAN KLASTER BERDASARKAN KINERJA DAN KUALITAS PADA UMKM EMPING JAGUNG DI KABUPATEN LAMONGAN

Authors

  • Siti Asmaul Mustaniroh Universitas Brawijaya
  • Panji Deoranto Universitas Brawijaya
  • Eva Novita Sari Universitas Brawijaya

DOI:

https://doi.org/10.21776/ub.jtp.2019.020.02.2

Keywords:

Kinerja dan Kualitas, Klaster, Strategi.

Abstract

ABSTRAK

 

Kabupaten Lamongan merupakan salah satu wilayah di Jawa Timur yang memiliki potensi di sektor pertanian. Banyaknya jagung di kecamatan Lamongan menjadi peluang untuk diolah menjadi emping jagung yang berpotensi menjadi produk unggul daerah. Tujuan dari penelitian ini menentukan strategi terbaik untuk tiap klaster yang terbentuk. Metode yang digunakan yakni K-means Cluster dan Fuzzy Analytic Hierarchy (FAHP). Pada model pengembangan klaster agroindustri diperoleh 2 klaster berdasarkan berdasarkan kinerja dan kualitas produk UKM emping jagung di kabupaten Lamongan. Pada klaster 1 merupakan usaha skala kecil yang terdiri 3 UKM emping jagung, faktor yang gunakan adalah kualitas UKM (0,57) dengan kriteria performance product (0,32) sehingga alternatif yang dapat digunakan adalah meningkatkan kualitas tenaga kerja, menentukan dan menerapkan standarisasi produksi dan menerapkan teknologi tepat guna (0,26). Klaster 2 merupakan usaha skala mikro yang terdiri dari 5 UKM, hasil penelitian menunjukkan bahwa klaster 2 faktor yang berpengaruh adalah kinerja UKM (0,51) dengan kriteria permasalahan yang mempengaruhi strategi pengembangan klaster adalah tenaga kerja (0,30) sehingga alternatif yang dapat digunakan adalah meningkatkan kualitas tenaga kerja (0,35).

 

ABSTRACT

 

Lamongan regency is one of the areas in East Java that has potential in the agricultural sector. The large amount of corn in Lamongan district is an opportunity to be processed into corn chips which has the potential to be a superior product of the region. The purpose of this study is to determine the best strategy for each cluster formed. The method used is K-means Cluster and Fuzzy Analytic Hierarchy (FAHP). The agroindustry cluster development model obtained 2 clusters based on the performance and product quality of SME corn chips in Lamongan regency. In cluster 1 is a small scale business consisting of 3 corn chips SMEs, the factor used is the quality of SMEs (0.57) with performance product criteria (0.32) so that an alternative that can be used is to improve the quality of labor, determine and implement production standards and applying appropriate technology (0.26). Cluster 2 is a micro scale business consisting of 5 SMEs, the results of the study show that cluster 2 factors that influence is the performance of SMEs (0.51) with the criteria for the problem affecting the cluster development strategy is labor (0.30) so that alternatives can be used is improving the quality of labor (0.35).

Author Biography

Eva Novita Sari, Universitas Brawijaya

Faculty of agricultural technology, department of agroindustrial technology

References

Abdollahbeigi, -B., Shahidisadr, -M. 2013 packaging innovation effects in enhance sales. International Journal of Business, Economics and Law. 2(1), 1–5. https://www.ijbel.com/previous-issue/june-2013/vol-2-issue-1-june-2013/

Alexandersson, -A., Fridolf, -A. 2015. The process of distributor selection among smesa multiple-case study in the healthcare sector. https://gupea.ub.guse/bitstream/2077/39886/1/gupea_2077_39886_1.pdf

Bakhtiar, B., Bima Murti Wijaya, A. and Dwi Cahyono, H., 2016. Pengembangan Sistem Analisis Akademis Menggunakan Olap Dan Data Clustering Studi Kasus : Akademik Universitas Sebelas Maret Surakarta. Jurnal Teknologi & Informasi ITSmart, 4(1), 1–11. https://doi.org/10.20961/its.v4i1. 1748

Iwuagwu, -O. 2011. The cluster concept: will nigeria’s new industrial development strategy jumpstart the country’s industrial takeoff?. Afro Asian Journal of Social Sciences. 2(2), 1–24. http://www.onlineresearchjournals.com/aajoss/art/75.pdf

Kane, -A., Nagar, -J. 2012. Determining the number of clusters for a k-means clustering algorithm. Indian Journal of Computer Science and Engineering (IJCSE), 3(5), 670–672. https://www.ijcse.com/docs/INDJCSE12-03-05-080.pdf

Kodinariya, -T., Makwana, -P. 2013. Review on determining number of cluster in k-means clustering. International Journal of Advance Research in Computer Science and Management Studies, 1(6), 90–95. http://www.ijarcsms.com/docs/paper/volume1/issue6/V1I6-0015.pdf

Purnima, -B., Arvind, -K., 2014. Ebk-means: a clustering technique based on elbow method and k-means in WSN. International Journal of Computer Applications. 105(9), 17–24. https://doi.org/10.5120/18405-9674

Akindipe, -O., 2014. The role of raw material management in production operations. International Journal of Managing Value and Supply Chains. 5(3), 37–44. https://doi.org/10.5121/ijmvsc.2014. 5303

Nugrahaning, -S.A. 2012. Penentuan alternatif lokasi pengembangan kawasan agroindustri berbasis komoditas pertanian unggulan di Kabupaten Lamongan. Jurnal Teknik ITS, 1(1), C33–C37. https://doi.org/10.12962/j23373539.v1i1.925

Setyaningsih, -S. 2012. Using cluster analysis study to examine the successful performance entrepreneur in indonesia. Procedia Economics and Finance. The Authors, 4(Icsmed), 286–298. https://doi.org/10.1016/S2212-5671(12)00343-7

Susanti, -N. 2018. Perancangan e-marketing umkm kerajinan tas. Simetris. 9(1), 717–722. https://doi.org/10.24176/simet.v9i1.2042

Syakur, -M.A. 2018. Integration k-means clustering method and elbow method for identification of the best customer profile cluster. IOP Conference Series: Materials Science and Engineering, 336(1). https://doi.org/ 10.1088/1757-899X/336/1/012017

Tmava, -Q., Peci, -F., Luboteni, -G. 2013. The role of banks in small and medium enterprises financing: a case study from Kosovo. International Journal of Economics and Finance. 5(12), 94–104. https://doi.org/10.5539/ijef.v5n12p94

Wang, -Y.M., Chin, -K.S., 2011. Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology. International Journal of Approximate Reasoning. Elsevier Inc. 52(4), 541–553. https://doi.org/10.1016/j.ijar.2010.12.004

Zhang, -X., Ma, -W., Chen, -L., 2014. New similarity of triangular fuzzy number and its application. The Scientific World Journal. 2014, 1–7. https://doi.org/10.1155/2014/215047

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Published

2019-08-01

Issue

Vol. 20 No. 2 (2019)

Section

Articles

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