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All Journal Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Journal of Public Health and Pharmacy
Eka Samsul Ma’arif
Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Jakarta, 10510 Jakarta, Indonesia
Medicine & Pharmacology Public Health

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Behavioral Determinants of Environmental Health Impacts in IoT-Enabled Waste Management: Evidence from Greater Jakarta Urban Households E. Ernyasih; N. Nelfiyanti; Eka Samsul Ma’arif; Aulia Fahreza Ismanto; Donita Lutfia Hasanah; D. Daruki
Journal of Public Health and Pharmacy Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Teknologi Informasi dan Jurnal Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jphp.v6i2.8682

Abstract

Introduction: The rapid growth of household waste in urban areas poses a serious challenge to environmental health. The integration of the IoT into waste management is considered an innovative solution, offering real-time monitoring, collection efficiency, and greater system transparency. This study aims to examine the influence of perception, attitude, awareness, and practices on environmental health impacts in the context of IoT adoption. Methods: A cross-sectional survey was conducted with 120 households in the Greater Jakarta area, and the data were analyzed using SEM-PLS. Results: The results reveal that perception significantly influences attitude (p < 0.001), and attitude significantly influences awareness (p < 0.001). The structural model demonstrates strong predictive power with R² values of 0.566 for attitude, 0.552 for awareness, and 0.839 for environmental health impacts. Standardized path coefficients show significant effects for perception ? attitude (? = 0.752; p < 0.001), attitude ? awareness (? = 0.743; p < 0.001), and practices ? environmental health impact (? = 0.864; p < 0.001). Model diagnostics confirm reliability and validity, including AVE > 0.50, CR > 0.70, HTMT < 0.85, and VIF < 3. However, awareness does not directly affect environmental health (p > 0.05), indicating the presence of an intention–behavior gap. In contrast, actual waste management practices emerged as the most dominant predictor, with the largest effect on environmental health outcomes (p < 0.001). Conclusion: These findings highlight the necessity of policy strategies that go beyond raising awareness and digital literacy, ensuring the transformation of awareness into consistent practices through adequate infrastructure, incentive systems, and regulatory enforcement. This study contributes to strengthening the concept of smart cities and supports sustainable development strategies in urban settings.
Smart Waste Management Acceptance and Perceived Urban Environmental Health in Jabodeta E. Ernyasih; N. Nelfiyanti; Eka Samsul Ma’arif; D. Daruki; Anwar Mallongi; Donita Lutfia Hasanah
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 9 No. 4 (2026)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v9i4.10154

Abstract

Introduction: Urban waste growth in metropolitan areas intensifies sanitation challenges and environmental health risks. Smart waste management offers data-driven waste services; however, its effectiveness depends on public acceptance. Despite increasing implementation of smart waste technologies, limited empirical evidence explains how behavioral and psychosocial determinants shape citizen acceptance in developing urban contexts, particularly in relation to perceived environmental health conditions rather than objectively measured environmental outcomes. This study investigates the determinants of smart waste management acceptance and its association with perceived urban environmental health in Jabodeta, Indonesia, using an extended Technology Acceptance Model that integrates digital literacy, environmental concerns, social norms, and perceived risk Methods: A cross-sectional survey of 120 respondents was conducted and analyzed using partial least squares structural equation modeling with bootstrapping. Measurement quality met recommended thresholds, including outer loadings greater than 0.70, average variance extracted ranging from 0.52 to 0.78, strong reliability, and HTMT values below 0.90. Results: The structural model explained substantial variance in perceived ease of use (R² = 0.81) and perceived usefulness (R² = 0.69), moderate-to-strong variance in acceptance (R² = 0.62), and modest variance in perceived urban environmental health (R² = 0.18). Digital literacy positively predicted perceived ease of use (? = 0.52), while perceived risk negatively predicted perceived ease of use (? = ?0.37). Perceived ease of use strongly predicted perceived usefulness (? = 0.74). Environmental concern (? = 0.26) and social norms (? = 0.15) positively predicted perceived usefulness. Perceived usefulness (? = 0.32) and perceived ease of use (? = 0.19) positively predicted acceptance, and acceptance was positively associated with perceived urban environmental health (? = 0.43). Mediation analysis identified statistically significant indirect effects for selected pathways; however, these effects should be interpreted cautiously due to inconsistencies in directional patterns. Conclusion: The findings suggest that perceived environmental health benefits associated with smart waste management are linked to sustained public acceptance. This acceptance is supported by digital literacy, socially reinforced perceptions of usefulness, and effective risk communication combined with reliable service delivery. These results highlight the importance of behavioral and perceptual factors in shaping citizen engagement with smart environmental technologies, while acknowledging that the study reflects perceived rather than objectively measured environmental outcomes.
Co-Authors Anwar Mallongi Aulia Fahreza Ismanto D. Daruki D. Daruki Donita Lutfia Hasanah E. Ernyasih E. Ernyasih N Nelfiyanti