INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 03, MARCH 2020 ISSN 2277-8616 3034 IJSTR©2020 www.ijstr.org Balanced Housing Policy Optimization Riski Trisuci, Hanny Wahidin Wiranegara, Yayat Supriatna, Anindita Ramadhani Abstract— Balanced housing policy objective is to reach a harmony in diversity. It regulates the diversity of housing units into 3:2:1 proportion. It shows a comparison of 3 simple type houses, 2 medium types, and 1 luxury type based on its area or price. Due to the profit gain, the developers found it difficult to apply. This study aim is to identify the optimized housing proportion fulfilling the comparison and still gaining the profit. The unit of analysis is cluster where the community harmony can take place. Burgundy Residence and Olive Residence in Summarecon Bekasi took as samples. The research method is operational research. By comparing the number of each house types, its affordability, and its proportion using the simplex-method showed that there is inconsistency in this balanced housing policy based on an area and price. The two clusters showed imbalance proportion in term of area and affordability. The optimization has balanced proportion with an expanded stretch of land. The unit prices also need to be increased to keep gaining the profit. In terms of affordability, the real price of the simple type is much higher than the price set in the policy. The housing type proportion based on the area and prices are not synchronous. The balanced housing policy in terms of price cannot realize its objectives because the simple type is certainly not able to be in one stretch with two other types. It means that the goal of balanced housing policy to create harmony cannot be achieved. Index Terms— balanced housing proportion, balanced housing policy, landed housing, house affordability, simplex-method —————————— ◆ —————————— 1 INTRODUCTION BALANCED housing or “social mix” (in Europe) or “mixed income communities” or “poverty deconcentration” (in the U.S) has been recently employed to combat socio-spatial segregation and prevent the formation of new clusters of deprived households [1]. In neighbourhoods where social mix has evolved ‘organically’ over time, social mix is more likely to be a positive phenomenon [2]. It is a prerequisite for the development of 'inclusive', 'sustainable' and 'cohesive' communities (Arthurson in 3). The idea of social mix can be implemented in quite different ways, even within the same jurisdictional, urban, economic, and cultural context (Arthurson in 4). Balanced housing is about having a mix of people with different characteristics such as age, tenure, class, income, ethnicity and so on [5, 6]. ‘Balance’ connotes an external reference point with which comparisons can be made. It goes beyond a mere description of local, compared to ‘reference’, population attributes [5]. Social mix and balance must be guaranteed in the territorial space at the scale of buildings, districts, cities, and conurbations [7]. Inconsistent housing policies of communities have a number of destructive consequences, including increasing differentiation in the level of socio-economic development across communities and less coherent socio-economic space of an agglomeration [8]. Due to concentrated poverty leads to high aggregated social costs [9] such as unemployment [10], violence and homicides [11], crime [10], etc., balanced housing offer an alternative to the ills of concentrated poverty [10]. Balanced housing or social mix housing policy may accomplish a number of social [10, 8, 12, 13], economic [10, 12, 14] and environmental outcomes [10] that improves the welfare of residents [8]. Composition, concentration, and scale are the three aspects of social mixing policies [1]. Composition is the basis for mixing the people (ethnicity, race, religion, income, housing tenure, etc.). Concentration is the amount of which group comprise the ideal mix or minimally required to produce the desired outcomes. Scale is the level of geography which relevant mix be measured. More research might be needed to address the question of what kinds of diversity might ‘work’ best, where and in what combinations [13]. This study chosen income and housing type as a basis in the neighborhood scale (such as a cluster in housing) with an ideal mixture 3:2:1. In Indonesia, there is a ministerial regulation on balanced housing as stated in [15][16][17]. As a guideline for the proportion of house types, the basis used is the area and price of the house. Regarding affordability, the problem is the proportion of simple types. Generally this simple type is ignored. Private developers have reasons for the difficulty of applying these balanced housing rules, related to profit gaining. Therefore, it was needed to identify the problem in optimizing the application of this balanced housing. One side of the simple type is not excluded, on the other hand it still giving profit. In the fringe of Jabotabek area as the largest metropolitan in Indonesia, a number of large-scale housing is growing, including Sumarecon Bekasi. As one of the big scale residential area, it was chosen as a sample to answer this research question: what is the proportion of housing units based on their type that follows the rules of balanced housing while still providing benefits to the developer? 2 LITERATURE REVIEW 2.1 Balanced Housing Pattern Balanced housing is built in a balanced pattern including different types of house, applied from the neighborhood scale to over than 10.000 units of housing. Balanced pattern has a certain proportion among simple houses, medium houses, and luxury homes. Provisions for balanced housing must meet the location and composition requirements as shown in Table 1. Referring to the regulations, Summarecon Bekasi with more than 1000 housing units, so a simple type should be in the same stretch with other types. ____________________________ • Riski Trisuci (Author): Department of Urban and Regional Planning, Universitas Trisakti, Jakarta, Indonesia • Hanny Wahidin Wiranegara (Corresponding Author): Department of Urban and Regional Planning, Universitas Trisakti, Jakarta, Indonesia, 0811803994. E-mail: hanny.w@trisakti.ac.id • * Department of Urban and Regional Planning, Universitas Trisakti, Jakarta, Indonesia