Customer Mapping for Cable TV Industries in Indonesia Rural Area Using Geographical Information System
DOI:
https://doi.org/10.11113/jt.v72.3924Keywords:
Geographical information system, customer mapping, decision support system, association rules analysis, infrastructure planningAbstract
House numbering is the system of giving a unique number to each building in a street or area, with the intention of making it easier to locate a particular building. The house number is often part of a postal address. The term describes the number of any building (residential or not) or vacant lot with a mailbox. House numbering schemes vary by place, and in many cases even within cities. In some areas, especially in rural area of Indonesia, the house or building are not numbered yet. This is caused by the demography and the geography. This study was done on cable TV industries in Sorong Papua, Indonesia. Where the main problem in this research is how to reduce the number of customer payment arrears and minimize duration of customer dues. There are several aspects of why customers in arrears, on the one hand because of the difficulty of the collector to find the location of the customer and on the other hand due to poor customer habits, so that they do not want to pay. The research model was constructed with a Geographical Information System to determine the mapping customers. The mapping process is done with the customer to establish a classification of association rule between customers. The results of this study could assist companies in finding the location of customers quickly and make the mapping according to customer payment behavior. The approach of the results obtained can be further used to determine the best strategy in dealing with customers.
References
Allerton, C. 2003. Authentic Housing, Authentic Culture?: Transforming a Village Into a 'Tourist Site' In Manggarai, Eastern Indonesia. Indonesia and the Malay World. 31(89): 119–128.
Chan, D. V., A. H. Christine, N. C. Hurch, E. S. Rogers, and S. Gopal. 2014. Measuring Community Integration Using Geographic Information Systems (GIS) and Participatory Mapping for People Who Were Once Homeless. Health & Place. 27(0): 92–101.
Kementerian Dalam Negeri. 2011. Kabupaten Kota Sorong. Retrieved December 10, 2013, from http:///www.kemendagri.go.id/pages/profil-daerah/kabupaten/id/92/name/papua-barat/detail/9271/kota-sorong.
King, P. 2004. West Papua and Indonesia Since Suharto: Independence, Autonomy or Chaos?Australia: University of New South Wales Press.
Mote, O., and D. Rutherford. 2001. From Irian Java to Papua: The Limits of Primordialism in Indonesia's Troubled East. Indonesia. 1(1): 115–140.
Park, S., S. Jeon, S. Kim, and C. Choi. 2011. Prediction and Comparison of Urban Growth by Land Suitability Index Mapping Using GIS And RS in South Korea. Landscape and Urban Planning. 99(2): 104–114.
Al-Zahrani, S. 2006, An Information Management System Model for the Industrial Incidents in Saudi Arabia: A Conceptual Framework Based on SDLC Methodology. Journal of Computer Science. 2(5): 447–454.
Nasirin, S., and D.F.Birks. 2003. DSS Implementation in the UK Retail Organisations: A GIS Perspective. Information & Management. 40(4): 325–336.
Weitzel, J.R., and L. Kerschberg. 1989. Developing Knowledge-Based Systems: Reorganizing the System Development Life Cycle. Communications. ACM. 32(4): 482–488.
Chakraborty, A., Mandal, J. K. Mandal, S. B. Chandrabanshi, and S. Sarkar. 2013. A GIS Anchored System for Selection of Utility Service Stations through Hierarchical Clustering. Procedia Technology. 10: 762–772.
Maliene, V., V. Grigonis, V. Palevicius, and S. Griffiths. 2011. Geographic Information System: Old Principles with New Capabilities. Urban Design International. 16(1): 1–6.
K. Krishna and M. Murty. 1999. Genetic K-means Algorithm. IEEE Transactions on Systems, Man and Cybernetics–Part B: Cybernetics. 29(3): 433–439.
Agrawal, R., T. Imielinski, and A. Swami. 1993. Mining Association Rules between Sets of Items in Large Databases. Proceedings of the 1993 ACM SIGMOD international conference on Management of data, Washington, D.C., USA. 207–216.
Boztuğ, Y., and T. Reutterer. 2008. A Combined Approach for Segment-Specific Market Basket Analysis. European Journal of Operational Research. 187(1): 294–312.
Mark H., E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I.H. Witten. 2009. The WEKA Data Mining Software: An Update. SIGKDD Explorations. 11(1): 10–18.
Elmore, W.C., and M.A. Heald. 1969. Physics of Waves. Dover Publication.
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