MICRO SMALL ENTERPRISES SUSTAINABILITY STRATEGY IN BADUNG REGENCY WITH BAYESIAN NETWORK ANALYSIS OF COMMUNITY-DRIVEN FACTORS

Ni Made Widani; Ni Wayan Ari Sudiartini; Kadek Donny Wishanesta

doi:10.33474/jimmu.v10i2.24255

Authors

Ni Made Widani Universitas Mahendradatta
Ni Wayan Ari Sudiartini Universitas Mahendradatta
Kadek Donny Wishanesta Universitas Mahendradatta

DOI:

https://doi.org/10.33474/jimmu.v10i2.24255

Keywords:

Micro Small Enterprises, culinary business, sustainability, Bayesian network, Badung Regency

Abstract

Micro Small Enterprises (MSE’s) are vital to the Balinese economy, providing substantial benefits to local communities, the economy, and cultural preservation. In Badung Regency, small micro enterprises in the culinary sector have particularly supported the community by meeting daily needs amid pandemic-related restrictions that have led to job losses and workplace closures, prompting many to shift towards the culinary industry. As a result, there has been a notable increase in the number of MSE’s, especially in the culinary sector. However, despite this important role, MSE’s are facing challenges as the economy begins to recover. Post-pandemic, many have experienced declines due to various internal and external hurdles and uncertainties. This study aims to conduct a strengths analysis and explore the most suitable scenarios or combinations of scenarios for participatory sustainable management. It seeks to examine the interplay between different components of MSE’s management, particularly within the culinary sector, as well as the external and internal conditions that affect them, along with the complex dynamics between human systems and the environment. Emphasizing the necessity of embracing uncertainty in the development of MSE’s, the study employs Bayesian network analysis as a suitable analytical approach to meet its research goals. Ultimately, the findings underscore that the sustainability of MSE’s, particularly in the culinary sector of Badung Regency, is influenced by factors such as community support, purchasing behavior, and partnerships.

References

Ali, S.; Stewart, R.A.; Sahin, O.; Vieira, A.S. Spatial bayesian approach for socio-economic assessment of pumped hydro storage.Renew. Sustain. Energy Rev. 2024, 189, 114007. https://doi.org/10.1016/j.rser.2023.114007

Ariyani, N.; Fauzi, A. a Policy Framework for Sustainable Tourism Development Based on Participatory Approaches: A CaseStudy in the Kedung Ombo Tourism Area-Indonesia. Geoj. Tour. Geosites 2022, 40, 129–135. https://doi.org/10.30892/GTG.40115-811

Bahri, Arsad. 2019. Kajian Pemberdayaan UMKM Kota Makassar Sebagai Upaya Peningkatan Kesejahteraan Pelaku Usaha. Jurnal Inovasi dan Pelayanan Publik Makassar Volume 1, Nomor 1, Januari – Juni 2019, hal16-26

Büyüközkan, G.; Kayakutlu, G.; Karakadilar, I.S. Assessment of lean manufacturing effect on business performance using. Bayesian Belief Networks. Expert Syst. Appl. 2015, 42, 6539–6551.

Claudya, S., Tirtawati, N. M., & Agustini, N. P. O. (2022). The Influence of Traditional Balinese Cuisine Quality on Tourist Interests in Badung Regency. The Journal Gastronomy Tourism. https://doi.org/10.17509/gastur.v9i1.47158

Chakraborty, S.; Mengersen, K.; Fidge, C.; Ma, L.; Lassen, D. A Bayesian Network-based customer satisfaction model: A tool for management decisions in railway transport. Decis. Anal. 2016, 3, 4. https://doi.org/10.1186/s40165-016-0021-2.

Cain, J. Planning Improvements in Natural Resources Management; The Centre for Ecology and Hydrology: Wallingford, UK, 2001;ISBN 0 903741 00 9.

Duespohl, M.; Frank, S.; Doell, P. A Review of Bayesian Networks as a Participatory Modeling Approach in Support of Sustainable Environmental Management. J. Sustain. Dev. 2012, 5, 1–18. https://doi.org/10.5539/jsd.v5n12p1.

Zaman, G.; Vasile, V.; Surugiu, M.; Surugiu, C. Tourism and Economic Development in Romania: Input-Output Analysis,Perspective. Rom. J. Econ. 2010, 31, 5–37.

Meng, W. The Effect of Uncertainties on the Tourism Industry: A Literature Review; Atlantis Press International BV: Dordrecht, The Netherlands, 2022; ISBN 9789464630527.

Isfahani, R.; Malmiri, T.; Toroody, B.; Abaei, M. A Bayesian-based framework for advanced nature-based tourism model. J.Asian Bus. Econ. Stud. 2023, 30, 86–104. https://doi.org/10.1108/JABES-11-2020-0119.

Papic-Blagojevic, N.; Gajic, T.; Djokic, N. Using Bayesian network and AHP method as a marketing approach tools in definingtourists’ preferences. Turizam 2012, 16, 8–19. https://doi.org/10.5937/turizam1201008p.

Manrique, R.; Viaggi, D.; Raggi, M. A Bayesian network highlighting the linkages between landscape structure and the localeconomy: The case of agritourism in lowland areas of Northern Italy. J. Environ. Plan. Manag. 2015, 58, 2137–2158. https://doi.org/10.1080/09640568.2015.1059738

Landuyt, D.; Broekx, S.; D’hondt, R.; Engelen, G.; Aertsens, J.; Goethals, P.L.M. A review of Bayesian belief networks in cosystem service modelling. Environ. Model. Softw. 2013, 46, 1–11. https://doi.org/10.1016/j.envsoft.2013.03.011.

Martins, M.R.; Maturana, M.C. Application of Bayesian Belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents. Reliab. Eng. Syst. Saf. 2013, 110, 89–109.

https://doi.org/10.1016/j.ress.2012.09.008.Sustainability 2024, 16, 5506 19 of 19

Noviati, Fitria, Kiki Rizki Makiya, and Meiana Maulida Hikmawati. "The Role of micro, small, medium enterprises in enhancing post-covid community-based tourism." JURNAL SOSIAL EKONOMI DAN HUMANIORA 8.4 (2022): 522-529.

Prasetyo, V. W. T., & Ellitan, L. (2023). The Role of Internal and External Environment For The Sustainability of MSMEs. J-CEKI: Jurnal Cendekia Ilmiah, 2(3), 312-323.

Ge, L.; Van Asseldonk, M.A.P.M.; Valeeva, N.I.; Hennen, W.H.G.J.; Bergevoet, R.H.M. A Bayesian belief network to infer incentive mechanisms to reduce antibiotic use in livestock production. NJAS—Wageningen J. Life Sci. 2014, 70–71,1–8.

https://doi.org/10.1016/j.njas. 2014.01.001.

Gawne, B.; Price, A.; Koehn, J.D.; King, A.J.; Nielsen, D.L.; Meredith, S.; Beesley, L.; Vilizzi, L. A bayesian belief network decision support tool for watering wetlands to maximise native fish outcomes. Wetlands 2012, 32, 277–287. https://doi.org/10.1007/s13157- 011-0255-7.

Vilizzi, L.; Price, A.; Beesley, L.; Gawne, B.; King, A.J.; Koehn, J.D.; Meredith, S.N.; Nielsen, D.L. Model development of Bayesian Belief Network for managing inundation events for wetland fish. Environ. Model. Softw. 2013, 41,14.

https://doi.org/10.1016/j.envsoft.2012.11.004.

Tang, C.; Yi, Y.; Yang, Z.; Sun, J. Risk analysis of emergent water pollution accidents based on a Bayesian Network. J. Environ.Manag. 2016, 165, 199–205. https://doi.org/10.1016/j.jenvman.2015.09.024.

Velikova, M.; Van Scheltinga, J.T.; Lucas, P.J.F.; Spaanderman, M. Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. Int. J. Approx. Reason. 2014, 55, 59–73.

https://doi.org/10.1016/j.ijar.2013.03.016

Nguyen, T. V a Bayesian Belief Network Analysis of Factors Influencing the Propensity To Vietnamese Coffee Export. Br. J.Mark. Stud. 2016, 4, 16–27.

Paredes, S.; Pascoe, S.; Coglan, L.; Richards, C. Increasing Local Fish Consumption: A Bayesian Belief Network Analysis. J. Int.Food Agribus. Mark. 2021, 33, 104–121. https://doi.org/10.1080/08974438.2020.1860853.

Kisioglu, P.; Topcu, Y.I. Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey. Expert Syst. Appl. 2011, 38,7151–7157. https://doi.org/10.1016/j.eswa.2010.12.045.

Marre, J.B.; Ferraris, J.; Badie, M.; Leonhardt, P.; Wuillemin, P.H.; Chaboud, C. Using Bayesian Network modelling to cope with the marine protected area governance issue. In Proceedings of the ICES 2010, Galway, Ireland, 23–26 August 2010; p. 28

Cain, J. Planning Improvements in Natural Resources Management; The Centre for Ecology and Hydrology: Wallingford, UK, 2001;ISBN 0 903741 00 9.

Wang, Y.; Zhang, J.; Wu, G. Bayesian-Based Traffic Safety Evaluation Study for Driverless Infiltration. Appl. Sci. 2023, 13, 12291.https://doi.org/10.3390/app132212291.

Donaldson, T. & Dunfee, T.W. 1994. Towards a Unified Conception of Business Ethics: Integrative Social Contracts Theory. Academy of ManagementReview 19, hal. 252-284.

Subjektif Pelaku Industri Tenun di Kabupaten Jembrana, Bali. Jurnal Matematika Vol. 8, No. 1, pp. 26-40.

Jamal, T. B., Getz, D. 1996. Does Strategic Planning Pay? Lessons For Destinations From Corporate Planning Experience. Progress In Tourism And Hospitality Research. Vol.2 1996 Hal. 59-78. Krippendorf, J. 1982.

Towards New Tourism Policies: The Importance of Environmental and Social Factors. Tourism Management. Vol. 3 No. 3 1982 Hal. 135-148.

Hamid, Edy Suandi. 2010. Pengembangan UMKM Untuk Meningkatkan Pertumbuhan Ekonomi Daerah. Simposium Nasional 2010: Menuju Purworejo Dinamis dan Kreatif.

Mahadipta, Ngurah Gede Dwi, Made Suyana Utama, I Gusti Wayan Murjana Yasa and Ni Putu Wiwin Setyari, 2022.The Analysis of Craft SMEs Performance and Prosperity in Denpasar, Webology, 19(1): 3586-3600

Munizu, Musran. 2010. Pengaruh Faktor-Faktor Eksternal dan Internal Terhadap Kinerja Usaha Mikro dan Kecil (UMK) di Sulawesi Selatan. Jurnal Manajemen dan Kewirausahaan. Vol. 12, No.1, hal. 33-41

Friedman, M. 1970. The Social Responsibility of Business is to increase its profits. NewYork Times Magazine, September 13th, pp. 32-33, 122, 126.