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Abstrak :
Dalam memilih jenis properti hunian yang akan diterapkan di Fatmawati dibutuhkan analisis yang menyeluruh. Hal itu agar pengembang bisa memaksimalkan profit yang diperoleh. Pengembang tidak bisa asal membangun walaupun secara kasat mata bangunan bertingkat lebih menguntungkan. Banyak aspek yang harus dipertimbangkan dalam pemilihan jenis Properti Hunian. Untuk itu dibuat kerangka pengambilan keputusan jenis properti hunian agar pemilihan properti yang akan dibangun dilahan tersebut tepat. Kerangka tersebut meliputi analisis pendahuluan, analisis konsep properti hunian, dan analisis finansial. Dengan kerangka ini diharapkan pengembang dapat memutuskan jenis properti yang menguntungkan dan bisa dilaksanakan. ......In choosing the type of residential property which will be implemented in a comprehensive needs analysis of Fatmawati. It's that developers can maximize the profit earned. Developers can not build a home albeit invisible-rise buildings more profitable. Many aspects must be considered in choosing the type of Residential Property. It created a framework for decision making so that the selection of residential properties to be built dilahan property is appropriate. The framework includes a preliminary analysis, analysis of the concept of residential property, and financial analysis. With this framework is expected the developer can decide what kind of property that is profitable and can be executed.

Abstrak :
[ABSTRAK
Kenaikan harga-harga properti hunian di Indonesia pada kurun waktu 2010-2012 telah menimbulkan kekhawatiran akan adanya bubble. Studi ini bertujuan untuk mengidentifikasi potensi bubble di pasar properti hunian dengan menggunakan 5 (lima) indikator: perbandingan antara harga rumah aktual dengan harga rumah berdasarkan predicted value-nya, perbandingan harga aktual dengan harga fundamentalnya berdasarkan ekspektasi rasional, mengukur price to income ratio dan price to rent ratio, menganalisis pertumbuhan kredit properti serta melibatkan control chart.

Hasil penelitian menunjukan bahwa properti jenis apartemen menunjukan adanya indikasi bubble, namun untuk tipe perumahan, walaupun mengalami kenaikan di tahun 2012, bukan merupakan indikasi bubble. Hal ini dibuktikan dari hasil regresi yang dibuat menunjukan bahwa kenaikan harga rumah lebih disebabkan oleh perubahan faktor fundamental seperti peningkatan pendapatan penduduk, pertumbuhan populasi, tingkat inflasi yang stabil dan tingkat pengangguran yang cenderung turun, secara signifikan mempengaruhi kenaikan harga rumah.

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ABSTRACT
The high increase of Indonesias property prices, particularly in the residential sector, during 2010-2012 has created a concern that it would lead to a bubble. This study aims to investigate the potential housing bubble in Indonesia using a combination of five (5) quantitative indicators, namely: a comparison between actual and predicted housing value, a comparison between actual price and fundamental price based on rational expectation, the price-to-income ratio and the price-to-rent ratio, development of mortgage loans and control chart as a statistical tool to quantify housing / apartment bubbles.

The results suggest that the apartment sector was on its way of forming bubble in 2012, whereas the landed-house sector showed no indications of an impending bubble. Furthermore, based on the regression analysis, the rise of landed-house price was in line with fundamental factors such as increase in income, population growth, inflation and lower unemployment rate.;The high increase of Indonesia?s property prices, particularly in the residential sector, during 2010 ? 2012 has created a concern that it would lead to a bubble. This study aims to investigate the potential housing bubble in Indonesia using a combination of five (5) quantitative indicators, namely: a comparison between actual and predicted housing value, a comparison between actual price and fundamental price based on rational expectation, the price-to-income ratio and the price-to-rent ratio, development of mortgage loans and control chart as a statistical tool to quantify housing / apartment bubbles. The results suggest that the apartment sector was on its way of forming bubble in 2012, whereas the landed-house sector showed no indications of an impending bubble. Furthermore, based on the regression analysis, the rise of landed-house price was in line with fundamental factors such as increase in income, population growth, inflation and lower unemployment rate., The high increase of Indonesia’s property prices, particularly in the residential sector, during 2010 – 2012 has created a concern that it would lead to a bubble. This study aims to investigate the potential housing bubble in Indonesia using a combination of five (5) quantitative indicators, namely: a comparison between actual and predicted housing value, a comparison between actual price and fundamental price based on rational expectation, the price-to-income ratio and the price-to-rent ratio, development of mortgage loans and control chart as a statistical tool to quantify housing / apartment bubbles. The results suggest that the apartment sector was on its way of forming bubble in 2012, whereas the landed-house sector showed no indications of an impending bubble. Furthermore, based on the regression analysis, the rise of landed-house price was in line with fundamental factors such as increase in income, population growth, inflation and lower unemployment rate.]

Abstrak :
[ABSTRAK
Kenaikan harga-harga properti hunian di Indonesia pada kurun waktu 2010 ? 2012 telah menimbulkan kekhawatiran akan adanya bubble. Studi ini bertujuan untuk mengidentifikasi potensi bubble di pasar properti hunian dengan menggunakan 5 (lima) indikator: perbandingan antara harga rumah aktual dengan harga rumah berdasarkan predicted value-nya, perbandingan harga aktual dengan harga fundamentalnya berdasarkan ekspektasi rasional, mengukur price to income ratio dan price to rent ratio, menganalisis pertumbuhan kredit properti serta melibatkan control chart. Hasil penelitian menunjukan bahwa properti jenis apartemen menunjukan adanya indikasi bubble, namun untuk tipe perumahan, walaupun mengalami kenaikan di tahun 2012, bukan merupakan indikasi bubble. Hal ini dibuktikan dari hasil regresi yang dibuat menunjukan bahwa kenaikan harga rumah lebih disebabkan oleh perubahan faktor fundamental seperti peningkatan pendapatan penduduk, pertumbuhan populasi, tingkat inflasi yang stabil dan tingkat pengangguran yang cenderung turun, secara signifikan mempengaruhi kenaikan harga rumah.

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ABSTRACT
The high increase of Indonesia?s property prices, particularly in the residential sector, during 2010 ? 2012 has created a concern that it would lead to a bubble. This study aims to investigate the potential housing bubble in Indonesia using a combination of five (5) quantitative indicators, namely: a comparison between actual and predicted housing value, a comparison between actual price and fundamental price based on rational expectation, the price-to-income ratio and the price-to-rent ratio, development of mortgage loans and control chart as a statistical tool to quantify housing / apartment bubbles. The results suggest that the apartment sector was on its way of forming bubble in 2012, whereas the landed-house sector showed no indications of an impending bubble. Furthermore, based on the regression analysis, the rise of landed-house price was in line with fundamental factors such as increase in income, population growth, inflation and lower unemployment rate, The high increase of Indonesia’s property prices, particularly in the residential sector, during 2010 – 2012 has created a concern that it would lead to a bubble. This study aims to investigate the potential housing bubble in Indonesia using a combination of five (5) quantitative indicators, namely: a comparison between actual and predicted housing value, a comparison between actual price and fundamental price based on rational expectation, the price-to-income ratio and the price-to-rent ratio, development of mortgage loans and control chart as a statistical tool to quantify housing / apartment bubbles. The results suggest that the apartment sector was on its way of forming bubble in 2012, whereas the landed-house sector showed no indications of an impending bubble. Furthermore, based on the regression analysis, the rise of landed-house price was in line with fundamental factors such as increase in income, population growth, inflation and lower unemployment rate]

Abstrak :
Kebutuhan akan rumah merupakan kebutuhan primer yaitu kebutuhan utama setelah kebutuhan sandang dan pangan atau biasa disebut dengan trilogi sandang- pangan-papan. Meskipun menjadi kebutuhan primer manusia, banyak dari manusia tidak menyadari bahwa pentingnya mempunyai rumah. Sebagian besar masyarakat Indonesia masih menunda melakukan pembelian rumah dengan alasan yang beragam; mulai dari tidak sadarnya urgensi akan rumah, harga yang mahal, hingga proses administrasi pembelian yang sangat merepotkan, terutama jika membeli dengan menggunakan cicilan. Kebijakan-kebijakan pemerintah masih tidak terlalu signifikan membantu meningkatkan penjualan properti, sehingga kini semakin banyak model pembiayaan baru yang berbasis crowdfunding bermunculan untuk membantu masyarakat Indonesia mendapatkan rumah. Walaupun crowdfunding adalah suatu platform baru yang membawa perubahan baru dalam teknologi, platform ini mempunyai tiga kelemahan yaitu akuntabilitas, transparansi dan sentralisasi. Oleh karena itu pada penelitian ini teknologi blockchain akan diimplementasikan untuk meningkatkan akuntabilitas dan transparansi dari platform crowdfunding bisnis properti hunian. Penelitian ini menggunakan metode studi literatur & benchmarking, survei kuesioner, dan validasi pakar untuk meraih tujuan penelitian yaitu mengindentifikasi fitur-fitur akuntabilitas dan transparansi pada platform crowdfunding dan diagram alir bekerja aplikasi aplikasi crowdfunding bisnis properti hunian berbasis teknologi blockchain. Fitur akuntabilitas yang akan dipakai pada aplikasi ini yaitu Dana Proteksi, Mentoring dan Monitoring peminjam, dan Pengembalian Modal dan fitur transparansinya adalah Informasi Peminjam, Detail Laporan Peminjam, Credit Scoring. Setelah itu Teknologi blockchain yang akan diimplementasikan untuk penelitian ini yaitu platform blockchain Ethereum melalui layanan yang berdasarkan smart contract yaitu Decentralized Autonomous Organization (DAO), Decentralized File Storage (DFS), dan Token System ERC-20. ......Home needs are primary needs, namely the main needs for clothing and food needs or commonly referred to as the food-board-clothing trilogy. Despite being a major human need, many people do not realize the importance of owning a home. Most Indonesians still buy houses for various reasons; Starting from the unconscious urgency of the house, the price is expensive, the complicated purchase process, especially if buying using installments. Government policies are still not very effective in increasing property sales, thus new crowdfunding-based financing models is increasing to help people to afford a house. Although crowdfunding is a new platform that brings new changes in technology, this platform has three weaknesses namely accountability, transparency and centralization. Therefore in this research the blockchain system exists to increase accountability and transparency of the residential property crowdfunding business platform. The research method of this research is uses literature study & benchmarking methods, questionnaire surveys, and expert validation to achieve the research goal of identifying accountability and transparency features in crowdfunding platforms and flowcharts of application crowdfunding applications of residential property businesses based on blockchain technology. Accountability features that will be used in this application are the Dana Proteksi Insurance, Mentoring and Monitoring, and Capital Returns and transparent features are Borrower Information, Borrower Report Details, Credit Scoring. The blockchain technology that will be implemented for this research is the Ethereum blockchain platform through smart contract-based services, namely the Decentralized Autonomous Organization (DAO), Decentralized File Storage (DFS), and the ERC-20 Token System.