Rancang Bangun Robo-Advisor untuk Pendanaan Rumah Syariah Berbasis Aplikasi Bergerak

Jaya Kuncara ROSA SUSILA, Pujo Laksono, Muhammad Afit
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引用次数: 0

Abstract

ABSTRAKPembiayaan properti berbasis syariah saat ini meningkat seiring dengan kesadaran ummat muslim dalam menjalankan agamanya. Persetujuan pembelian properti syariah lebih diniatkan untuk membantu ummat mendapatkan rumah namun ini menjadi kendala karena ditemukan ada cicilan yang macet setelah beberapa waktu. Perlu dibangun sistem pendukung keputusan yang berfokus pada pendampingan dan rekomendasi skema pembiayaan properti syariah. Parameter masukan sebanyak 12 variabel profil calon pembeli yang diambil dari formulir surat persetujuan pembelian rumah (SPPR), sedangkan targetnya adalah persetujuan pembelian yang diperoleh dari sistem kecerdasan artifisial. Untuk mendapatkan model yang optimal, dilakukan perbandingan 3 model, yaitu logaritmic regression, decision tree, dan random forest. Random forest memiliki tingkat akurasi tertinggi, yaitu 90,831%. Framework Flask digunakan sebagai aplikasi web yang dikonversi menjadi aplikasi bergerak.Kata kunci: kecerdasan artifisial, robo-advisor, sistem pendukung keputusan, random forest, flaskABSTRACTSharia-based property financing is currently increasing along with the awareness of Muslims in practicing their religion. The approval for the purchase of sharia property is intended to help the community get a house, but this is an obstacle because it is found that there are installments that are stuck after some time. It is necessary to build a decision support system that focuses on mentoring and recommending sharia property financing schemes. The input parameters are 12 profile variables of prospective buyers taken from the house purchase approval letter form (SPPR), while the target is purchase approval obtained from an artificial intelligence system. To get the optimal model, a comparison of 3 models was made, namely logarithmic regression, decision tree, and random forest. Random forest has the highest accuracy rate, which is 90.831%. The Flask framework is used as a web application that is converted into a mobile application.Keywords: artificial intelligence, robo-advisor, decision support system, random forest, flask
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随着乌姆马特穆斯林意识到他们信奉伊斯兰教,以伊斯兰教为基础的财产融资目前正在增加。批准伊斯兰教法更结核帮助ummah得到购买了房产抵押房子,但这成为障碍,因为发现有崩溃的过了一段时间。需要建立一个支持决策的系统,其重点是精简和建议的伊斯兰地产融资方案。输入参数多达12个变量的潜在买家的资料取自批准购买房子的信(SPPR表格),而目标则是人工智能系统的采购协议。为了获得最佳的模型,模型做比较3,即logaritmic regression,决策树、随机森林。兰登森林的准确率最高,是90.831%。框架诱捕用作转化为移动应用程序的web应用程序。关键词:人工智能,robo-advisor决策支持系统,随机森林,flaskABSTRACTSharia-based财产融资和意识的穆斯林》是目前跟着increasing practicing religion)的结果。教法之赞同#购买财产is intended to帮助社区得到a屋,但这是它的obstacle涌是找到那个有installments之后那是卡住了些时间。是有必要构建百万决定支持系统那focuses on辅导和recommending教法物业融资计划能。parameters是输入12 variables剖析》prospective买家购买了来自全场赞同信(SPPR形式),而《购买目标是赞同获得来自一个人工智能系统。为了最佳模型,a不那么可怜》3 models是制造,namely logarithmic regression,决策树、随机森林。随机森林有《最高评比率,这是90.831%。《诱捕框架是美国过去a web应用程序就是converted进入移动应用程序。安装:人工情报,robo-advisor,决定支持系统,随机森林,诱捕
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