Home Purchase Recommendation System Using Fuzzy Tsukamoto Method

Dwiki Rian Pangestu, Ida Widaningrum, Arin Yuli Astuti

Abstract


Abstrak—Tingkat kebutuhan warga di bidang properti terus bertambah bersamaan dengan perkembangan jumlah penduduk. Hal tersebut karena bertambahnya jumlah populasi, dan tempat tinggal merupakan salah satu kebutuhan pokok yang harus dipenuhi. Sebuah rumah, biasanya merupakan implementasi dari keinginan seseorang tentang tempat tinggal yang nyaman menurut kriterianya. Oleh karena itu ketika ingin membeli atau mendirikan rumah, akan memilih sesuai dengan keinginannya. Terdapat banyak sekali rumah, tipe dan gaya ditawarkan oleh agen properti, mengakibatkan sedikit kesulitan ketika memilih mana yang sesuai dengan idamannya. Oleh sebab itu, ditawarkan sebuah sistem yang akan mendukung keputusan bagi konsumen dalam menentukan rumah mana yang tepat untuk menjadi tempat tinggalnya. Kriteria yang digunakan terdiri dari harga, luas tanah, luas bangunan, mutu bangunan, posisi, kelengkapan, serta sarana umum. Sistem pendukung keputusan ini, mengimplementasikan metode Fuzzy Tsukamoto untuk mendapatkan hasil akhirnya. Sistem berbasis website, bahasa pemrograman PHP dengan aplikasi kode visual studio serta xampp dan pengujian black box. Hasil yang didapatkan berupa rekomendasi pemilihan rumah berdasarkan penentuan bobot oleh konsumen itu sendiri. 

 

Kata Kunci— Sistem Pendukung Keputusan, Rumah, Fuzzy Tsukamoto, Website, PHP

 

Abstract—In the real estate sector, the level of demand of residents continues to increase with the development of the population. This is because the population is growing, and housing is one of the basic needs that must be met. The embodiment of someone's desire for a home, a comfortable place to live, usually by standards. So when you buy or build a house, you have a choice. With so many homes, types, and styles offered by real estate agents, it can be a bit difficult to choose the home that fits your dreams. Thus, a system is provided to help consumers decide which housing is suitable for them to live in. Standards include price, land area, building area, building quality, location, completeness, and public facilities. This decision support system implements the Fuzzy Tsukamoto method to achieve the final result. A website-based system, PHP programming language with Visual Studio Code application, xampp, and black-box testing. The result obtained is a recommended format for home selection based on the consumer's weight determination.

Keywords


Decision Support System; House; Fuzzy Tsukamoto; Website; PHP

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References


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DOI: https://doi.org/10.24114/cess.v7i1.30101

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CESS (Journal of Computer Engineering, System and Science)

Creative Commons License
CESS (Journal of Computer Engineering, System and Science) is licensed under a Creative Commons Attribution 4.0 International License