Implementasi Fuzzy Query dalam Sistem Pendukung Keputusan untuk Investasi Properti

Renovita Edelani; Entin Martiana Kusumaningtyas; Ira Prasetyaningrum; Bagus Anggriawan

doi:10.30630/eji.0.0.467

Renovita Edelani Politeknik Elektronika Negeri Surabaya
Entin Martiana Kusumaningtyas Politeknik Elektronika Negeri Surabaya
Ira Prasetyaningrum Politeknik Elektronika Negeri Surabaya
Bagus Anggriawan Politeknik Elektronika Negeri Surabaya

DOI: https://doi.org/10.30630/eji.0.0.467

Keywords: Decision Support System, Fuzzy Query, property, real estate, Sistem Pendukung Keputusan

Abstract

Rapid urbanization and the increasing demand for residential property have created significant challenges in the real estate market. Prospective homebuyers often face difficulties in finding properties that meet their specific criteria in a crowded and competitive market. This research proposes an approach to property investment decision-making based on the Fuzzy Query method, providing a web-based application designed to simplify the property search process. The application allows users to filter properties based on various criteria, such as price, land area, building area, number of bathrooms, number of bedrooms, certificate type, and environmental noise levels. The application features an intuitive user interface that enables users to quickly find properties that match their preferences. This decision support system effectively assists property investors in obtaining investment assessments.

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References

[1] R. W. Hidayat, “PELUANG DAN TANTANGAN INVESTASI PROPERTI DI INDONESIA,” Jurnal Akuntansi AKUNESA, vol. 2, pp. 1-18, 2014.
[2] R. R. Trippi, “Decision Support and Expert Systems for Real Estate Investment Decisions: A Review,” Sigma Research Associates, vol. 20, no. 5, pp. 50-60, 1990.
[3] R. R. Trippi, “A Decision Support System for Real Estate Investment Portofolio Management,” Sigma Research Associates, vol. 16, pp. 47-54, 1989.
[4] Rumah.com, “Pasar Properti Di Surabaya Awal 2022 dan Rekomendasinya,” Rumah.com, 2022. [Online]. Available: https://www.rumah.com/areainsider/surabaya/article/pasar-properti-di-surabaya-14382. [Diakses 22 4 2024].
[5] M. Nikravesh dan B. Azvine, “Fuzzy queries, search, and decission support system,” Soft Computing, vol. 6, pp. 373-399, 2002.
[6] A. Moreau, O. Pivert dan G. Smits, “Fuzzy Query By Example,” dalam The 33rd ACM/SIGAPP Symposium On Applied Computing, Pau, 2018.
[7] Manda, O. Harvence, A. Johar dan Ernawati, “IMPLEMENTASI FUZZY QUERY DATABASE UNTUK PENGELOLAAN DATA OBAT (Studi Kasus: Apotek Sehat Bersama I Kota Bengkulu),” Jurnal Rekursif, vol. 4, no. 1, 2016.
[8] S. a. D. Liu, A. a. Whitfield dan R. a. Boyle, “Integration of decision support systems to improve decision support performance,” Knowledge and Information Systems, vol. 22, no. 3, pp. 261-286, 2010.
[9] P. Chyan, “Decision Support System for Property Investment Selection in Makassar City,” Journal of Engineering and Applied Sciences, vol. 14, no. 23, pp. 8705-8711, 2019.
[10] R. Valverde, “A Risk Management Decision Support System for the Real Estate Industry,” International Journal of Information and Communication Technology Research, vol. 1, no. 3, pp. 139-147, 2011.
[11] A. Faisol, M. A. Muslim dan H. Suyono, “Komparasi Fuzzy AHP dengan AHP pada Sistem Pendukung Keputusan Investasi Properti,” JEECCIS, vol. 8, no. 2, pp. 123-128, 2014.
[12] Peraturan Menteri Kesehatan Republik Indonesia Nomor 718 Tahun 1987 Tentang Kebisingan.
[13] L. A. Zadeh, “Fuzzy Logic,” Computer, vol. 21, no. 4, pp. 83-93, 1988.
[14] M. NikRavesh, “Fuzzy conceptual-based search engine using conceptual semantic indexing,” dalam 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002, New Orleans, 2022.