How can digital transformation take part in waste management of businesses in Indonesia?
List of Authors
  • Talisha Amanda Riyadi

Keyword
  • Waste Management, Digitalisation, Supply Chain Management, Inventory System, Digital Readiness

Abstract
  • Known for its high level of biodiversity, Indonesia has gone under the spotlight as becoming the one of the largest waste contributors in the world. Coincidently, Indonesia is a haven for business due to the abundance of natural resources available. Many researches have study upon ways to restore the ecosystem. However, it is also important to study the ways of mitigating it. As businesses play a big role in the waste contribution, this paper will be studying the ways businesses could manage its waste especially with the support of digital tools. The discussion of digital media in this issue is highly important especially in today’s context of Industry 4.0, Indonesian businesses must be able to adapt and take advantage of the advancement of technology. This research paper is exploratory research with an objective to study opportunities of digitalisation towards waste management for the different sectors of businesses in Indonesia. This paper specifically explores and analyses business processes and activities using existing SCOR Model results of 5 sectors of businesses in Indonesia. Results has shown that problem due the inability to accurately predict demand causing in overstock and hazardous risk of accident due to poor holding system, which relates greatly upon the inventory system. In order to overcome the issue, the implementation of digital device, software’s are highly recommended however digital readiness must be taken into account.

Reference
  • 1. Achilles, 2021. The importance of minimising waste in the supply chains. Achilles. Available at: https://www.achilles.com/industry-insights/importance-minimising-waste-supply-chain/ [Accessed May 7, 2022].

    2. Akkermans, H.A. et al., 2003. The impact of ERP on Supply Chain Management: Exploratory findings from a European delphi study. European Journal of Operational Research, 146(2), pp.284–301.

    3. APICS, 2018. APICS Supply Chain Operations Reference Model SCOR. SCOR. Available at: http://www.apics.org/docs/default-source/scor-training/scor-v12-0-framework-introduction.pdf?sfvrsn=2 [Accessed May 8, 2022].

    4. Bauer, W., Herkommer, O. & Schlund, S., 2015. Die Digitalisierung der Wertschöpfung kommt in deutschen Unternehmen an. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 110(1-2), pp.68–73.

    5. BKPM, 2021. Manufacturing to accelerate Indonesia's economic growth. BKPM. Available at: https://www3.bkpm.go.id/en/publication/detail/news/manufacturing-to-accelerate-indonesias-economic-growth [Accessed May 9, 2022].

    6. Dikaiakos, M.D. et al., 2009. Cloud computing: Distributed internet computing for IT and scientific research. IEEE Internet Computing, 13(5), pp.10–13.

    7. Elena, 2022. Ekonomi ri 2021 tumbuh 3,69 Persen, Ini Sektor Usaha Yang Jadi Pendorong Utama: Ekonomi. Bisnis.com. Available at: https://ekonomi.bisnis.com/read/20220207/9/1497420/ekonomi-ri-2021-tumbuh-369-persen-ini-sektor-usaha-yang-jadi-pendorong-utama [Accessed May 10, 2022].

    8. Hendrickx, S., 2021. IaaS paas SAAS,... what's the difference? Devoteam G Cloud. Available at: https://gcloud.devoteam.com/blog/iaas-paas-saas-whats-the-difference/ [Accessed: May 7, 2022].

    9. Hoßfeld, S., 2018. The competitive advantage of digital decision making for strategic decisions—in scope of the supply chain. Management Studies, 6(2), pp.127–138.

    10. IBM Cloud Education, 2021. IaaS vs. PaaS vs. Saas. IBM. Available at: https://www.ibm.com/cloud/learn/iaas-paas-saas [Accessed May 7, 2022].

    11. Immawan, T. & Nugraha, I., 2020. Escalation proposal of Supply Chain Management Performance of oil and gas upstream industry in pt. XYZ by using SCOR model approach. IOP Conference Series: Materials Science and Engineering, 722(1), pp.012–047.

    12. JISC, 2015. 6 Framework of Digital Capability. Available at: https://digitalcapability.jiscinvolve.org/wp/files/2015/06/1.-Digital-capabilities-6-elements.pdf [Accessed May 7, 2022].

    13. Kenji, A.O.K.I., 2022. B3 waste storage rules fully revised in Indonesia. Enviliance ASIA. Available at: https://enviliance.com/regions/southeast-asia/id/report_1625 [Accessed May 10, 2022].

    14. Khrais, L.T. & Alghamdi, A.M., 2021. The role of Mobile Application Acceptance in shaping E-customer service. Future Internet, 13(3), p.77.

    15. Liaw et al., 2018. Managing Satey Risk by Cell Manufacturers. Idaho National Laboratory (INL/JOU-17-41515-Revision-1)

    16. McKinsey, 2017. Five fifty: Digital Lipstick. McKinsey & Company. Available at: https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/five-fifty-digital-lipstick [Accessed May 7, 2022].

    17. Mohammed, F. et al., 2020. Cloud computing services: Taxonomy of Discovery Approaches and Extraction Solutions. Symmetry, 12(8), p.1354.

    18. Mondejar, M.E. et al., 2021. Digitalization to achieve Sustainable Development Goals: Steps Towards a Smart Green Planet. Science of The Total Environment, 794, p.148539.

    19. Rejeb, A., Keogh, J.G. & Treiblmaier, H., 2019. Leveraging the internet of things and blockchain technology in Supply Chain Management. Future Internet, 11(7), p.161.

    20. Ross, D.F., 2011. In Introduction to supply chain management technologies. Boca Raton: Taylor & Francis.

    21. Schafran, A. et al., 2018. Replacing the services sector and three-sector theory: Urbanization and control as economic sectors. Regional Studies, 52(12), pp.1708–1719.

    22. SIPSN., 2021. Komposisi Sampah Berdasarkan Sumber Sampah

    23. Subagyo, H. et al., 2022. Supply Chain Performance Measurement of Logistic Business Using SCOR Model in the Indonesian Main Ports. Engineering and Science 5(12),pp 100-16

    24. Sudaryanto et al., 2007. Performance Evalution of Supply Chain Using SCOR Model: The Case of PT. Yuasa: Industrial Engineering and Management (ISSN: 1978-774X)

    25. Tiwari, A. et al., 2013. A cloud computing using rough set theory for cloud service parameters through ontology in cloud simulator. Computer Science & Information Technology ( CS & IT ), pp.1–9.

    26. Tonanont, A. et al., 2008. Performance evaluation in reverse logistics and data envelope analyses. IIE Annual Conference and Expo 2009. pp.764-769.

    27. Tzounis, A. et al., 2017. Internet of things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, pp.31–48.

    28. Voxco, 2021. What is the connection between Digital Transformation and customer experience? Voxco. Available at: https://www.voxco.com/blog/what-is-the-connection-between-digital-transformation-and-customer-experience/ [Accessed May 7, 2022].

    29. Westerman, G., Bonnet, D. & McAfee, A., 2014. The Nine Elements of Digital Transformation. MIT Sloan Management Review. Available at: https://sloanreview.mit.edu/article/the-nine-elements-of-digital-transformation/ [Accessed May 7, 2022].

    30. White, M., 2012. Digital workplaces. Business Information Review, 29(4), pp.205–214.

    31. Wolfe, M., 1955. The concept of economic sectors. The Quarterly Journal of Economics, 69(3), pp.402–420.

    32. WSU (Western Sydney University), 2016. What is Digital Literacy? Western Sydney University. Available at: https://www.westernsydney.edu.au/studysmart/home/study_skills_guides/digital_literacy/what_is_digital_literacy [Accessed May 7, 2022].

    33. Yuki, 2021. Leaders Tackle Plastic Waste in Indonesia. The Borgen Project. Available at: https://borgenproject.org/plastic-waste-in-indonesia/ [Accessed May 10, 2022].