Development of Indonesian Geographical Small and Medium Enterprises (UMKM) Distribution Visualization Systems to Support the Improvement of People's Economy
AbstractThe contribution of UMKM plays an important role in boosting manufacturing and economic growth in the country. The Ministry of Industry noted, for example, in 2013, 3.43 million UMKM rose to 3.52 million UMKM in 2014. UMKM are also able to absorb the most labor compared to other sectors. Absorption of labor in this sector in early 2016 reached 97.22 percent. In 2016. Bondowoso Regency is an area rich in natural products and handicrafts. ThereÂ areÂ 38Â thousandÂ UMKMÂ thatÂ haveÂ beenÂ establishedÂ untilÂ 2016.Â TheÂ numberÂ has exceeded the target of the Regent Amin Said Husni. But currently there is no system that can accommodate the existing UMKM and new UMKM that will emerge. Overcoming the distribution of UMKM covering one Regency, a system that is able to visualize the distribution properly is needed. This research aims to develop the Indonesian Geographical Small and Medium Enterprises (UMKM) Distribution Visualization Systems to Support the Improvement of People's Economy. From the test results show the system has been successfully developed, with a reference to the percentage of unit testing results is 100%, while the average value of system quality (4.54), information quality (4.51) and user satisfaction (4.52).
K. Perindustrian, â€œKemenperin: Jumlah Unit Usaha dan Tenaga Kerja IKM Ditargetkan Naik Setiap Tahun.â€ [Online]. Available: http://www.kemenperin.go.id/artikel/18855/Jumlah-Unit- Usaha-dan-Tenaga-Kerja-IKM-Ditargetkan-Naik-Setiap-Tahun. [Accessed: 22-May-2019].
K. Perindustrian, â€œKemenperin: Menperin Fokus Tingkatkan Daya Saing, Populasi dan Tenaga Kerja IKM.â€ [Online]. Available: http://www.kemenperin.go.id/artikel/16808/Menperin-Fokus-Tingkatkan-Daya-Saing,-Populasi-dan-Tenaga-Kerja-IKM. [Accessed: 22-May-2019].
D. C. Robinson, S. Mohanty, J. Young, G. Jones, and D. Wesemann, â€œNovel Techniques for Mapping Infectious Diseases Using Point of Care Diagnostic Sensors,â€ in Physics and Technology of Sensors (ISPTS), 2015 2nd International Symposium on, 2015, pp. 325â€“327.
W. Zeng, X. Liu, X. Cui, H. Cui, and P. Wang, â€œRemote Sensing and GIS for Identifying and Monitoring The Environmental Factors Associated with Vector-Borne Disease: An verview,â€ in International Geoscience and Remote Sensing Symposium (IGARSS), 2006, pp. 1443â€“1446.
A. Founoun and A. Hayar, â€œEvaluation of the concept of the smart city through local regulation and the importance of local initiative,â€ 2018 IEEE Int. Smart Cities Conf. ISC2 2018, pp. 1â€“6, 2019.
A. V. Vitianingsih, D. Cahyono, and A. Choiron, â€œAnalysis and Design of Web-Geographic Information System for Tropical Diseases-Prone Areas: A Case Study of East Java Province, Indonesia,â€ in 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2017, pp. 255â€“260.
N. Guizani and A. Ghafoor, â€œModeling and Evaluation of Disease Spread Behaviors,â€ 2014 Int. Wirel. Commun. Mob. Comput. Conf., pp. 996â€“1003, 2014.
C. Cao, G. Li, S. Zheng, and J. Cheng, â€œResearch On The Environmental Impact Factors of Hand-Foot-Mouth Disease in Shenzhen, China using RS and GIS Technologies,â€ 2012, pp. 7240â€“7243.
Q. Cheng and S. Zhang, â€œFuzzy Weights of Evidence Method Implemented in GeoDAS GIS for Information Extraction and Integration for Prediction of Point Events,â€ â€¦ Symp. 2002. IGARSSâ€™02. 2002 IEEE â€¦, vol. 00, no. C, pp. 2933â€“2935, 2002.
Z. A. Latif and M. H. Mohamad, â€œMapping of Dengue Outbreak Distribution Using Spatial Statistics and Geographical Information System,â€ in 2nd International Conf on Information Science and Security, 2015, pp. 1â€“5.
I. S. Klyuzhin, E. Shahinfard, M. Gonzalez, and V. Sossi, â€œFeasibility of Using Geometric Descriptors of Tracer Distribution for Disease Assessment,â€ in 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014, 2016, pp. 1â€“5.
L. Guo, Z. Sun, L. Di, and L. Lin, â€œSpatial Distribution and Variation Analysis of Lyme Disease in The Northeastern United States,â€ 2016, pp. 2â€“5.