Yunita, Yunita and Lukas, Lukas and Galinium, Maulahikmah (2016) Integrating Data Mining and AHP in Market Analysis to Propose New Product Development in Real Estate. Masters thesis, Swiss German University.

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Abstract

New product development in real estate industry is a challenging process since related to long term concept and high cost. New product development proposed should met customer need and their preference which appropriate with buying power of customer and company value. This research use data mining for profiling customer transaction and Analytic Hierarchy Process (AHP) method for product selection in new product development. This research utilizes Weka as data mining open source software to profiling data customers. The processing analysis finds preferences product and profiling demography such as city, age, gender and occupation. Demography profiles gives description buying power and product preferences. The products proposed are based on customer profiles and rank of the product by AHP method. The product with the highest weight will be proposed as new product development. Case studies of this research are Ciputra projects in Serang, Makassar, and Balikpapan. Makassar and Balikpapan are the project that already gain succeeds and Serang is new project which new products development will be proposed to launch. Based on profiling and product preference of customer in Balikpapan, Makassar, and prospectus of Serang markets, 2 new products development that will be proposed are house type 120/200 m with 2 price around Rp. 1.300.000.000 and house type 71/120 m with price around Rp 800.000.000. The markets of Serang and Balikpapan have similarities profiles as urban city so the new products development will adopt the succeed story of Balikpapan project.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Data Mining; AHP; New Product Development; Weka; Real Estate; Customer Profiling.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD1361 Real estate business Q Science > QA Mathematics > QA76 Computer software > T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Atroridho Rizky
Date Deposited:	14 Jul 2020 07:07
Last Modified:	14 Jul 2020 07:07
URI:	http://repository.sgu.ac.id/id/eprint/1153

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