The Rise of Smart Housing in Urban Buffer Zones
As Jakarta’s primary buffer region, Bekasi Regency has seen rapid infrastructure development and a massive influx of residents seeking affordable landed housing
However, the implementation of these high-tech solutions often hits a wall
Measuring Human Adaptation: The Methodology
The research team employed a quantitative approach to test how social and economic factors influence technology use
Using a statistical method called multiple linear regression, the study analyzed three primary variables
- Social Values and Relationships (X1): How well the technology aligns with family norms, supports daily chores, and affects interaction between household members
. - Economic Context and Accessibility (X2): The financial ability of the household to afford the devices, the monthly operational costs, and the user’s level of digital literacy
. - User Adaptation (Y): The final measure of how frequently and comfortably residents integrated the technology into their daily routines
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Key Findings: Money and Values Matter Most
The data revealed that social and economic factors are powerful predictors of technology adoption, explaining 86.2% of the variation in how residents used their smart home features
The study's key results include:
- Economic Dominance: Economic context and accessibility emerged as the most influential factor
. Residents are far more likely to adapt to smart systems if the devices are affordable to maintain and easy to access without specialized training . - Social Alignment: Technology that conflicts with a family’s habits or social values often faces resistance
. Conversely, when a smart home system supports domestic routines and strengthens household bonds, adaptation is sustainable . - Simultaneous Impact: The researchers proved that social and economic factors do not work in isolation; they jointly determine whether a smart home functions as a useful tool or an expensive ornament
. - The Literacy Gap: Even if a resident can afford the technology, a lack of digital literacy—defined as the ease of use and understanding—remains a barrier to full adaptation
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Real-World Impact and Policy Implications
The findings from Zulkifli Puteh and his colleagues at Universitas Kristen Indonesia have immediate implications for housing developers, technology providers, and urban planners
For the industry, the message is clear: "smart" must also mean "affordable" and "culturally relevant"
Policymakers can also use this data to support "inclusive" smart cities
As the researchers note, "The successful implementation of smart home technology strongly depends on its alignment with community social values, supported by economic capacity and ease of access"
Author Profiles
- Zulkifli Puteh, B.Arch., M.Arch. (Cand.): A researcher in the Graduate Program of the Master of Architecture at Universitas Kristen Indonesia. His work focuses on the intersection of urban housing and digital technology adaptation
. - James E.D. Rilatupa, Ph.D.: A senior academic and researcher at Universitas Kristen Indonesia, specializing in architectural technology and sustainable residential design
. - Aryantono Martowidjojo, M.T.: An expert in urban planning and architecture at Universitas Kristen Indonesia, with a research focus on sociotechnical systems in modern Indonesian cities
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Source Research
Article Title: The Influence of Social Values and Economic Context on User Adaptation to Adaptive Smart Homes in Grand Duta City Bekasi

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