• International Journal of Technology (IJTech)
  • Vol 17, No 5 (2026)

Perceived Helpfulness of Automated Waste Sorting in Indonesia Is Associated with Pickup-Service Reliability and Waste-Sorting Behavior

Perceived Helpfulness of Automated Waste Sorting in Indonesia Is Associated with Pickup-Service Reliability and Waste-Sorting Behavior

Title: Perceived Helpfulness of Automated Waste Sorting in Indonesia Is Associated with Pickup-Service Reliability and Waste-Sorting Behavior
Andante Hadi Pandyaswargo, Meilinda Fitriani Nur Maghfiroh, Indriyani Rachman, Hiroshi Onoda

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Cite this article as:
Pandyaswargo, A. H., Maghfiroh, M. F. N., Rachman, I., & Onoda, H. (2026). Perceived helpfulness of automated waste sorting in indonesia is associated with pickup-service reliability and waste-sorting behavior. International Journal of Technology, 17 (5), 1689–1704


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Andante Hadi Pandyaswargo Environmental Research Institute, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Meilinda Fitriani Nur Maghfiroh 1. Industrial Engineering Department, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia 2. Department of Operations Management and Business Statistics, College of Economics and Political Scien
Indriyani Rachman Graduate School of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan
Hiroshi Onoda Graduate School of Environment and Energy Engineering, Waseda University, 513 Waseda-tsurumaki-cho, Shinjuku-ku, Tokyo 162-0041, Japan
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Abstract
Perceived Helpfulness of Automated Waste Sorting in Indonesia Is Associated with Pickup-Service Reliability and Waste-Sorting Behavior

Digital technologies are increasingly proposed to improve waste management, yet their uptake depends not only on technical feasibility but also on how people perceive their usefulness under existing service conditions. This study uses a quota-based online survey of 1,000 adults across 33 province-level fielding strata to examine the perceived helpfulness of automated waste-sorting technology in Indonesia, with the Papua region grouped into one fielding category. The main outcome variable captures respondents’ ordered ratings of whether automated sorting would help them, ranging from very unnecessary to very helpful. The analysis combines descriptive statistics, Multiple Correspondence Analysis (MCA), chi-square tests, Cramer’s V, and Pearson residual analysis to explore how perceived helpfulness is associated with sociodemographic characteristics, self-reported waste practices, and everyday service conditions. Overall, 69.7% and 20.2% of respondents rated automated sorting as very helpful and helpful, respectively, while 7.7% and 2.4% rated it as neutral and unhelpful, respectively. Perceived helpfulness was generally higher among younger respondents, those who were already engaged in waste sorting, and those who reported more reliable pickup services. Exploratory MCA results suggested recurring patterns linking favorable perceptions with active sorting behavior and more reliable service contexts, whereas less favorable perceptions were more common where pickup reliability was uncertain or weak. These findings suggest that public receptivity to automated waste sorting in Indonesia is associated not only with attitudes toward technology but also with the quality of routine waste services. The results should be interpreted as exploratory evidence from an online quota-based sample rather than as a nationally representative estimate of technology acceptance.

Automated waste sorting; Indonesia; Perceived helpfulness; Pickup-service reliability; Waste-sorting behavior

References

Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. In N. J. Salkind (Ed.), Encyclopedia of measurement and statistics. SAGE Publications. https://doi.org/10.4135/9781412952644.n299

Amoah, J. O., Britwum, A. O., Essaw, D. W., & Mensah, J. (2023). Solid waste management and gender dynamics: Evidence from rural Ghana. Research in Globalization, 6, 100111. https://doi.org/10.1016/j.resglo.2023.100111

Asteria, D., & Herdiansyah, H. (2022). The role of women in managing waste banks and supporting waste management in local communities. Community Development Journal, 57(1), 74–92. https://doi.org/10.1093/cdj/bsaa025

Barr, S., Gilg, A. W., & Ford, N. J. (2001). A conceptual framework for understanding and analysing attitudes towards household-waste management. Environment and Planning A, 33(11), 2025–2048. https://doi.org/10.1068/a33225

Bastos, D., Fernández-Caballero, A., Pereira, A., & Rocha, N. P. (2022). Smart city applications to promote citizen participation in city management and governance: A systematic review. Informatics, 9(4), 89. https://doi.org/10.3390/informatics9040089

Botetzagias, I., Dima, A.-F., & Malesios, C. (2015). Extending the theory of planned behavior in the context of recycling: The role of moral norms and of demographic predictors. Resources, Conservation and Recycling, 95, 58–67. https://doi.org/10.1016/j.resconrec.2014.12.004

Budiyarto, A., Clarke, B., & Ross, K. (2025). Overview of waste bank application in Indonesian regencies. Waste Management & Research: The Journal for a Sustainable Circular Economy, 43(3), 306–321. https://doi.org/10.1177/0734242X241242697

Caferra, R., D’Adamo, I., & Morone, P. (2023). Wasting energy or energizing waste? the public acceptance of waste-to-energy technology. Energy, 263, 126123. https://doi.org/10.1016/j.energy.2022.126123

Fatimah, Y. A., Govindan, K., Murniningsih, R., & Setiawan, A. (2020). Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia. Journal of Cleaner Production, 269, 122263. https://doi.org/10.1016/j.jclepro.2020.122263

Ferronato, N., Maalouf, A., Mertenat, A., Saini, A., Khanal, A., Copertaro, B., Yeo, D., Jalalipour, H., Raldúa Veuthey, J., Ulloa-Murillo, L. M., Thottathil, M. S., Shuaib, N. A. B., Caplin, R., & Mohandas, V. J. (2024). A review of plastic waste circular actions in seven developing countries to achieve sustainable development goals. Waste Management & Research: The Journal for a Sustainable Circular Economy, 42 (6), 436–458. https://doi.org/10.1177/0734242X231188664

Greenacre, M. (2017). Correspondence analysis in practice (3rd). Chapman; Hall/CRC. https://doi.org/10.1201/9781315369983

Hansmann, R., & Binder, C. R. (2020). Determinants of different types of positive environmental behaviors: An analysis of public and private sphere actions. Sustainability, 12(20), 8547. https://doi.org/10.3390/su12208547

Harfadli, M. M., Ramadan, B. S., Ulimaz, M., Rachman, I., & Matsumoto, T. (2025). Environmental impact and priority assessment of municipal solid waste management scenarios in Balikpapan City, Indonesia. Cleaner Waste Systems, 10, 100223. https://doi.org/10.1016/j.clwas.2025.100223

Knickmeyer, D. (2020). Social factors influencing household waste separation: A literature review on good practices to improve the recycling performance of urban areas. Journal of Cleaner Production, 245, 118605. https://doi.org/10.1016/j.jclepro.2019.118605

Kurniawan, T. A., Meidiana, C., Dzarfan Othman, M. H., Goh, H. H., & Chew, K. W. (2023). Strengthening waste recycling industry in Malang (Indonesia): Lessons from waste management in the era of Industry 4.0. Journal of Cleaner Production, 382, 135296. https://doi.org/10.1016/j.jclepro.2022.135296

Liu, L., & Hsu, Y. (2022). Motivating factors behind the public’s use of smart recycling systems: Perceived playfulness and environmental concern. Humanities and Social Sciences Communications, 9(1), 328. https://doi.org/10.1057/s41599-022-01347-6

Melese, M., Assefa, Y., & Meselu, Y. (2025). Determinants of household-level solid waste sorting practice: The case of Bure town, North-western Ethiopia. Cogent Social Sciences, 11(1), 2483388. https://doi.org/10.1080/23311886.2025.2483388

Miafodzyeva, S., & Brandt, N. (2013). Recycling behaviour among householders: Synthesizing determinants via a meta-analysis. Waste and Biomass Valorization, 4(2), 221–235. https://doi.org/10.1007/s12649-012-9144-4

Nguyen, T. T. P., Zhu, D., & Le, N. P. (2015). Factors influencing waste separation intention of residential households in a developing country: Evidence from Hanoi, Vietnam. Habitat International, 48, 169–176. https://doi.org/10.1016/j.habitatint.2015.03.013

Ogawa, A., Pandyaswargo, A. H., Tsubouchi, R., & Onoda, H. (2023). Demonstration of a contactless waste collection system: A Japanese case study. IET Smart Cities, 5(4), 303–316. https://doi.org/10.1049/smc2.12065

Pandyaswargo, A. H., Rachman, I., Maghfiroh, M. F. N., Kharisma, V., & Onoda, H. (2025). Do Indonesians separate their waste? can smart tech bridge the gap? IEEE European Technology and Engineering Management Summit (E-TEMS), 27–32. https://doi.org/10.1109/E-TEMS64751.2025.11239094

Piao, X., & Managi, S. (2024). Determinants of pro-environmental behaviour: Effects of socioeconomic, subjective, and psychological well-being factors from 37 countries. Humanities and Social Sciences Communications, 11(1), 1293. https://doi.org/10.1057/s41599-024-03790-z

Prabowo, B., Simanjuntak, F. S. H., Saldi, Z. S., Samyudia, Y., & Widjojo, I. J. (2019). Assessment of waste to energy technology in Indonesia: A techno-economical perspective on a 1000 ton/day scenario. International Journal of Technology, 10(6), 1228–1234. https://doi.org/10.14716/ijtech.v10i6.3607

Putri, C. M., & Hanum, F. (2021). Konflik warga terdampak dengan pengelola TPST Piyungan, Bantul, di Yogyakarta. E-Societas: Jurnal Pendidikan Sosiologi, 10(4). https://doi.org/10.21831/e-societas.v10i4.17176

Rejeb, A., & Zailani, S. (2023). Blockchain technology and the circular economy: A systematic literature review. Journal of Sustainable Development of Energy, Water and Environment Systems, 11(2), 1–25. https://doi.org/10.13044/j.sdewes.d10.0436

Sembiring, E., Fenitra, R. M., Dangkua, A. R., Khoeriyah, Z. B. A., Van Der Laan, A. Z., Fan, Y., Ceschin, F., & Jobling, S. (2024). Improving household waste management in Indonesia: A mixed-methods approach for waste sorting. Cleaner Waste Systems, 9, 100185. https://doi.org/10.1016/j.clwas.2024.100185

Shan, C., Onoda, H., & Pandyaswargo, A. H. (2025). Readiness status of smart waste collection and processing technologies for plastic waste recycling. In Ecodesign for circular value creation: Volume i (pp. 393–406). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-9068-5\ 25

Shan, C., Pandyaswargo, A. H., Ogawa, A., Tsubouchi, R., & Onoda, H. (2024). Japanese public perceptions on smart bin potential to support PAYT systems. Waste Management, 177, 278–288. https://doi.org/10.1016/j.wasman.2024.02.003

Shukor, J. A., Omar, M. F., Kasim, M. M., Jamaludin, M. H., & Naim, M. A. (2018). Assessment of composting technologies for organic waste management. International Journal of Technology, 9(8), 1579–1587. https://doi.org/10.14716/ijtech.v9i8.2754

Supriyadi, S., Kriwoken, L. K., & Birley, I. (2000). Solid waste management solutions for Semarang, Indonesia. Waste Management & Research, 18(6), 557–566. https://doi.org/10.1177/0734242X0001800606

Tan, S., & Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. Sustainability, 12(3), 899. https://doi.org/10.3390/su12030899

Tonglet, M., Phillips, P. S., & Read, A. D. (2004). Using the theory of planned behaviour to investigate the determinants of recycling behaviour: A case study from Brixworth, UK. Resources, Conservation and Recycling, 41(3), 191–214. https://doi.org/10.1016/j.resconrec.2003.11.001

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

World Bank. (2019). Indonesia – improvement of solid waste management to support regional and metropolitan cities project. Retrieved July 24, 2026, from https://documents1.worldbank.org/curated/en/608321575860426737/pdf/IndonesiaImprovement-of-Solid-Waste-Management-to-Support-Regional-and-Metropolitan-Cities-Project.pdf

Zhao, W., Hao, J. L., Gong, G., Fischer, T., & Liu, Y. (2025). Applying digital technologies in construction waste management for facilitating sustainability. Journal of Environmental Management, 373, 123560. https://doi.org/10.1016/j.jenvman.2024.123560