Impact of Smart Home-Based Artificial Intelligence Implementation to Facilitate Household Activities in Indonesia

The development of artificial intelligence in various fields, especially with its implementation at home, has a different impact on each user. This research only focuses on analyzing the impact of AI implementation at home on the comfort of its residents. The purpose of this study is to gather information regarding the opportunities for smart home implementation among Indonesians. This research relies on UTAUT 2 variables, which include Ease of Use, Usability, Hedonic Motivation, and Interactive Visual Information. The study used quantitative methods and a closed questionnaire, with participants from various backgrounds, including age, occupation, group membership, and profession. The questionnaire results were then analyzed. The findings of this study involving 204 samples revealed that the variables USF (Usefulness Factor) and IVI (Interactive Visual Information) both have a positive correlation with FDH (Facilitate Daily Household). Therefore, the usability and visual interactivity of the smart home system are crucial in improving user satisfaction, driving adoption, and further development of AI based home automation in Indonesia.

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Publication Details

Published
2025-02-03
DOI
https://doi.org/10.1109/icadeis65852.2025.10933234
Primary Topic
Impulse Buying and Technology Impacts
Type
article
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article

Impact of Smart Home-Based Artificial Intelligence Implementation to Facilitate Household Activities in Indonesia

Meisy Andriana, Wisnu Ananta Kusuma, Sulistyo Heripracoyo, Neola Diva Putri Siringoringo
Impulse Buying and Technology Impacts
article

Impact of Smart Home-Based Artificial Intelligence Implementation to Facilitate Household Activities in Indonesia

Meisy Andriana, Wisnu Ananta Kusuma, Sulistyo Heripracoyo, Neola Diva Putri Siringoringo
article en

Abstract

The development of artificial intelligence in various fields, especially with its implementation at home, has a different impact on each user. This research only focuses on analyzing the impact of AI implementation at home on the comfort of its residents. The purpose of this study is to gather information regarding the opportunities for smart home implementation among Indonesians. This research relies on UTAUT 2 variables, which include Ease of Use, Usability, Hedonic Motivation, and Interactive Visual Information. The study used quantitative methods and a closed questionnaire, with participants from various backgrounds, including age, occupation, group membership, and profession. The questionnaire results were then analyzed. The findings of this study involving 204 samples revealed that the variables USF (Usefulness Factor) and IVI (Interactive Visual Information) both have a positive correlation with FDH (Facilitate Daily Household). Therefore, the usability and visual interactivity of the smart home system are crucial in improving user satisfaction, driving adoption, and further development of AI based home automation in Indonesia.

Binus University (ID)
Openalex Percentile: Top 91%
Impulse Buying and Technology Impacts
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Impact of Smart Home-Based Artificial Intelligence Implementation to Facilitate Household Activities in Indonesia — Meisy Andriana, Wisnu Ananta Kusuma, et al. · (2025) | TGRS Research Map | TGRS