The Impact of IoT on The Storing Process of Leather Raw Material

Franciskus  Antonius; Asep Saepudin

doi:10.29207/resti.v7i3.4427

Franciskus Antonius STMIK LIKMI, Bandung
Asep Saepudin STMIK LIKMI, Bandung

DOI: https://doi.org/10.29207/resti.v7i3.4427

Keywords: internet of things (IoT), proactive monitoring, consistent quality, efficiency, effectiveness

Abstract

A critical step in processing leather raw material is the storing that keeps them in good condition and not easily damaged through the right temperature and humidity level, as otherwise the quality of leather raw material would not be consistent and its economic value would be low. This particular study, therefore, is to conduct an experiment that uses the Internet of Things (IoT) which allows proactive monitoring in keeping a specific temperature and humidity level in their storing process. Hence the subsequent leather processing can be done at the optimal level. The experimentation showed positive results as the use of IoT made storing process of leather raw materials became more proactive and run three times more effective, from just 8 hours to 24 hours, and also brought about a positive effect on the economic efficiency and effectiveness as it enable users to produce more consistent quality of leather raw material whilst the total operating costs remained and even lower. Besides its economic impact, IoT has increased the workers' and their relatives' welfare and social life driven by better income and less time consuming. It also brings about some positive environmental effects as it reduced carbon emissions by keeping energy waste at a lower level.

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References

I. Arts, A. Fischer, D. Duckett, and R. van der Wal, “Information technology and the optimisation of experience – The role of mobile devices and social media in human-nature interactions,” Geoforum, vol. 122, pp. 55–62, 2021, doi: https://doi.org/https://doi.org/10.1016/j.geoforum.2021.03.009

S. Tripathi and A. Bajpai, “Living in today’s world: Reflections on the interactions between technology and human relational patterns,” Technology in Society, 2021, doi: https://doi.org/https://doi.org/10.1016/j.techsoc.2021.101706.

K. T. Chan, “Emergence of the ‘Digitalized Self’ in the Age of Digitalization,” Computers in Human Behavior Reports, p. 6(100191), 2022, doi: https://doi.org/https://doi.org/10.1016/j.chbr.2022.100191.

D. J. Langley, J. van Doorn, I. C. L. Ng, S. Stieglitz, A. Lazovik, and A. Boonstra, “The Internet of Everything: Smart things and their impact on business models,” Journal of Business Research, vol. 122, pp. 853–863, 2021, doi: https://doi.org/10.1016/j.jbusres.2019.12.035.

A. Al-Habaibeh, M. Watkins, K. Waried, and M. B. Javareshk, “Challenges and opportunities of remotely working from home during Covid-19 pandemic,” Global Transitions, vol. 3, pp. 99–108, 2021, doi: https://doi.org/https://doi.org/10.1016/j.glt.2021.11.001.

P. Asghari, A. M. Rahmani, and H. H. Javadi, “Internet of Things applications: A systematic review,” Computer Networks, vol. 148, pp. 241–261, 2019, doi: https://doi.org/https://doi.org/10.1016/j.comnet.2018.12.008.

W. Choi, J. Kim, S. Lee, and E. Park, “Smart home and internet of things: A bibliometric study,” Journal of Cleaner Production, vol. 301, p. 126908, 2021, doi: https://doi.org/10.1016/j.jclepro.2021.126908.

F. Gregori, A. Papetti, M. Pandolfi, M. Peruzzini, and M. Germani, “Improving a production site from a social point of view: an IoT infrastructure to monitor workers condition,” Procedia CIRP, vol. 72, pp. 886–891, 2018, doi: https://doi.org/10.1016/j.procir.2018.03.057.

O. Mörth, M. Eder, L. Holzegger, and C. Ramsauer, “IoT-based monitoring of environmental conditions to improve the production performance,” Procedia Manufacturing, vol. 45, pp. 283–288, 2020, doi: https://doi.org/10.1016/j.promfg.2020.04.018.

D. R. Kiran, “Chapter 35 - Internet of Things,” in Production Planning and Control, D. R. Kiran, Ed. Butterworth-Heinemann, 2019, pp. 495–513. doi: https://doi.org/10.1016/B978-0-12-818364-9.00035-4.

D. Paret and P. Crégo, “1 - Definitions and Position,” in Wearables, Smart Textiles and Smart Apparel, D. Paret and P. Crégo, Eds. Elsevier, 2019, pp. 5–8. doi: https://doi.org/10.1016/B978-1-78548-293-9.50002-7.

P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations,” International Journal of Information Management, vol. 51, p. 101952, 2020, doi: https://doi.org/10.1016/j.ijinfomgt.2019.05.008.

F. Sievers, H. Reil, M. Rimbeck, J. Stumpf-Wollersheim, and M. Leyer, “Empowering employees in industrial organizations with IoT in their daily operations,” Computers in Industry, vol. 129, p. 103445, 2021, doi: https://doi.org/10.1016/j.compind.2021.103445.

J. S. Botero-Valencia, J. Valencia-Aguirre, and D. Durmus, “A low-cost IoT multi-spectral acquisition device,” HardwareX, p. 9(e00173), doi: https://doi.org/10.1016/j.ohx.2021.e00173.

H. Aguirre-Jofré, M. Eyre, S. Valerio, and D. Vogt, “Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels,” Automation in Construction, vol. 131, p. 103918, 2021, doi: https://doi.org/10.1016/j.autcon.2021.103918.

A. Martikkala, J. David, A. Lobov, M. Lanz, and I. F. Ituarte, “Trends for Low-Cost and Open-Source IoT Solutions Development for Industry 4.0,” Procedia Manufacturing, vol. 55, pp. 298–305, 2021, doi: https://doi.org/10.1016/j.promfg.2021.10.042.

N. Singh, M. Raza, V. V. Paranthaman, M. Awais, M. Khalid, and E. Javed, “Chapter 10 - Internet of Things and cloud computing,” in Digital Health, A. Godfrey and S. Stuart, Eds. Academic Press, 2021, pp. 151–162. doi: https://doi.org/10.1016/B978-0-12-818914-6.00013-2.

T. Shenkoya and C. Dae-Woo, “Impact of IoT on social innovation in Japan,” Asia Pacific Journal of Innovation and Entrepreneurship, vol. ahead-of-print, Oct. 2019, doi: 10.1108/APJIE-06-2019-0040.

F. Almalki et al., “Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities,” Mobile Networks and Applications, Aug. 2021, doi: 10.1007/s11036-021-01790-w.

Z. Zlatev, T. Georgieva, A. Todorov, and V. Stoykova, “Energy Efficiency of IoT Networks for Environmental Parameters of Bulgarian Cities,” Computers, vol. 11, pp. 1–13, May 2022, doi: 10.3390/computers11050081.

J. Xu, B. Gu, and G. Tian, “Review of agricultural IoT technology,” Artificial Intelligence in Agriculture, vol. 6, pp. 10–22, 2022, doi: https://doi.org/10.1016/j.aiia.2022.01.001.

J. Muangprathub, N. Boonnam, S. Kajornkasirat, N. Lekbangpong, A. Wanichsombat, and P. Nillaor, “IoT and agriculture data analysis for smart farm,” Computers and Electronics in Agriculture, vol. 156, pp. 467–474, 2019, doi: https://doi.org/10.1016/j.compag.2018.12.011.

W. Zhao et al., “Design of low-energy buildings in densely populated urban areas based on IoT,” Energy Reports, vol. 8, pp. 4822–4833, 2022, doi: https://doi.org/10.1016/j.egyr.2022.03.139.

K. Matsui, “Proposal and implementation of real-time certification system for smart home using IoT technology,” Energy Procedia, vol. 142, pp. 2027–2034, 2017, doi: https://doi.org/10.1016/j.egypro.2017.12.406.

K. Matsui, Y. Yamagata, and S. Kawakubo, “Real-time sensing in residential area using IoT technology for finding usage patterns to suggest action plan to conserve energy,” Energy Procedia, vol. 158, pp. 6438–6445, 2019, doi: https://doi.org/10.1016/j.egypro.2019.01.171.

Y. Jung, T. Kang, and C. Chun, “Anomaly analysis on indoor office spaces for facility management using deep learning methods,” Journal of Building Engineering, vol. 43, p. 103139, 2021, doi: https://doi.org/10.1016/j.jobe.2021.103139.

C.-H. Park, B. O. Shim, and J.-W. Park, “Open-source IoT monitoring system of a shallow geothermal system for heating and cooling year-round in Korea,” Energy, vol. 250, p. 123782, 2022, doi: https://doi.org/10.1016/j.energy.2022.123782.

M. Rosca, C. Nicolae, E. Sanda, and A. Madan, “Internet of Things (IoT) and Sustainability,” Aug. 2021, pp. 346–352. doi: 10.24818/BASIQ/2021/07/044.

W. Hamdy, A. Al-Awamry, and N. Mostafa, “Warehousing 4.0: A proposed system of using node-red for applying internet of things in warehousing,” Sustainable Futures, vol. 4, p. 100069, 2022, doi: https://doi.org/10.1016/j.sftr.2022.100069.

N. Kaur and S. K. Sood, “Cognitive decision making in smart industry,” Computers in Industry, vol. 74, pp. 151–161, 2015, doi: https://doi.org/10.1016/j.compind.2015.06.006.

D. L. Andersen, C. S. A. Ashbrook, and N. B. Karlborg, “Significance of big data analytics and the internet of things (IoT) aspects in industrial development, governance and sustainability,” International Journal of Intelligent Networks, vol. 1, pp. 107–111, 2020, doi: https://doi.org/10.1016/j.ijin.2020.12.003.

M. Ge, H. Bangui, and B. Buhnova, “Big Data for Internet of Things: A Survey,” Future Generation Computer Systems, vol. 87, pp. 601–614, 2018, doi: https://doi.org/10.1016/j.future.2018.04.053.

S. Mishra, B. K. Mishra, H. K. Tripathy, and A. Dutta, “Chapter 1 - Analysis of the role and scope of big data analytics with IoT in health care domain,” in Handbook of Data Science Approaches for Biomedical Engineering, V. E. Balas, V. K. Solanki, R. Kumar, and M. Khari, Eds. Academic Press, 2020, pp. 1–23. doi: https://doi.org/10.1016/B978-0-12-818318-2.00001-5.