Examining the Joint Effects of Air Quality, Socioeconomic Factors on Indonesian Health

Ahmad Wijaya Kusuma; Yuwan Jumaryadi; Samidi; Richard; Anandha Fitriani

doi:10.34306/att.v5i2sp.338

Authors

Ahmad Wijaya Kusuma University of Budi Luhur
Yuwan Jumaryadi University of Budi Luhur
Samidi University of Budi Luhur
Richard University of Pelita Harapan
Anandha Fitriani University of Raharja

DOI:

https://doi.org/10.34306/att.v5i2sp.338

Keywords:

Air pollution, Public management, Involvement, Incentives

Abstract

This study addresses the pressing need to comprehensively manage air pollution by examining the roles of local and national public agencies from the perspective of the general public. Air quality poses a critical challenge that profoundly impacts various aspects of human life. To enhance our understanding and generate both theoretical and practical insights for public management, this research introduces several key variables: the engagement of authorities in mitigating air pollution, citizen involvement in pollution reduction efforts, financial incentives for individuals and businesses to adopt air-friendly behaviors, urban green investments, the communal consequences of air pollution, and the necessity for industrial participation. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the research approach, data was gathered from residents of Indonesia's largest cities, where pollution significantly affects society and governing bodies. The findings are pertinent for public managers at both local and national levels, providing valuable input to enhance strategies for curbing air pollution, enhancing air quality, and ultimately improving the well-being of inhabitants.

References

Agustin, F., Oganda, F. P., Lutfiani, N., & Harahap, E. P. (2020). Manajemen Pembelajaran Daring Menggunakan Education Smart Courses. Technomedia Journal, 5(1 Agustus), 40–53.

Bahadormanesh, N., Tomka, B., Kadem, M., Khodaei, S., & Keshavarz-Motamed, Z. (2023). An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis. Medical Image Analysis, 102795.

Bahar, E., Agushinta, D., Arimbi, Y. D., & Reksoprodjo, M. (2022). Model Structure of Fetal Health Status Prediction. JUITA: Jurnal Informatika, 10(2), 159–166.

Cavallone, M., & Palumbo, R. (2020). Debunking the myth of industry 4.0 in health care: insights from a systematic literature review. The TQM Journal, 32(4), 849–868.

Guo, Y., Hao, Z., Zhao, S., Gong, J., & Yang, F. (2020). Artificial intelligence in health care: bibliometric analysis. Journal of Medical Internet Research, 22(7), e18228.

Haryani, H., Wahid, S. M., & Fitriani, A. (2023). Analisa Peluang Penerapan Teknologi Blockchain dan Gamifikasi pada Pendidikan. Jurnal MENTARI: Manajemen, Pendidikan Dan Teknologi Informasi, 1(2), 163–174.

Kusumaningrum, D. E., Budiarti, E. M., Triwiyanto, T., & Utari, R. (2020). The effect of distance learning in an online learning framework on student learning independence during the Covid-19 pandemic. 2020 6th International Conference on Education and Technology (ICET), 182–185.

Leo, W. W. C., Laud, G., & Chou, C. Y. (2023). Digital transformation for crisis preparedness: service employees’ perspective. Journal of Services Marketing, 37(3), 351–370

Liu, H., Wang, Y., Fan, W., Liu, X., Li, Y., Jain, S., Liu, Y., Jain, A., & Tang, J. (2022). Trustworthy ai: A computational perspective. ACM Transactions on Intelligent Systems and Technology, 14(1), 1–59.

Luo, M., Yang, X., Wang, H., Dou, H., Hu, X., Huang, Y., Ravikumar, N., Xu, S., Zhang, Y., & Xiong, Y. (2023). RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Analysis, 102810.

Madjido, M., Espressivo, A., Maula, A. W., Fuad, A., & Hasanbasri, M. (2019). Health information system research situation in Indonesia: A bibliometric analysis. Procedia Computer Science, 161, 781–787.

Nelson, G., Carter, H., Boedeker, P., Knowles, E., Buckmiller, C., & Eames, J. (2023). A Meta-Analysis and Quality Review of Mathematics Interventions Conducted in Informal Learning Environments with Caregivers and Children. Review of Educational Research, 00346543231156182.

Pakdemirli, E. (2019). Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading? Acta Radiologica Open, 8(2), 2058460119830222.

Pambudi, A., Purnama, S., Ayuninggati, T., Santoso, N. P. L., & Oktariyani, A. (2021). Legality on digital document using blockchain technology: an exhaustive study. 2021 Sixth International Conference on Informatics and Computing (ICIC), 1–6

Rahardja, U., Aini, Q., Apriani, D., & Khoirunisa, A. (2019). Optimalisasi Informasi Manajemen Laporan Assignment Pada Website Berbasis Content Management System. Technomedia Journal, 3(2 Februari), 213–223.

Ray, P. P., Dash, D., Salah, K., & Kumar, N. (2020). Blockchain for IoT-based healthcare: background, consensus, platforms, and use cases. IEEE Systems Journal, 15(1), 85–94.

Siregar, R., Nasution, I. R., & Arifin, M. A. (2019). The Effect of Corporate Taxpayer Compliance, the Increase of Corporate Taxpayers’ Number and Tax Audits on Income Tax Receipts of Article 25 with Taxation Sanctions as a Moderating Variable in KPP Pratama Medan Petisah. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol, 2(4), 385–400.

Suksmawati, A. N., & Wardoyo, R. (2022). Prediction of O3 Concentration Level Using Fuzzy Non-Stationary Method. JUITA: Jurnal Informatika, 10(2), 147–158.

Sun, L., Shang, Z., Xia, Y., Bhowmick, S., & Nagarajaiah, S. (2020). Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection. Journal of Structural Engineering, 146(5), 04020073.

Tavolara, T. E. (2023). Possible Flaw in Recent Publication. Radiology: Artificial Intelligence, 5(2), e220253.

Valsalan, P., ul Hasan, N., Baig, I., & Zghaibeh, M. (2022). Remote Healthcare Monitoring using Expert System. International Journal of Advanced Computer Science and Applications, 13(3).

Yoon, S., McClean, S. T., Chawla, N., Kim, J. K., Koopman, J., Rosen, C. C., Trougakos, J. P., & McCarthy, J. M. (2021). Working through an “infodemic”: The impact of COVID-19 news consumption on employee uncertainty and work behaviors. Journal of Applied Psychology, 106(4), 501