Development of Potato Chip Cluster Supply Chain Institutional Model with The Integration of ISM (Interpretive Structural Modeling) and ANP (Analytic Network Process)

https://doi.org/10.22146/agritech.85692

Nadya Prabaningtias(1), Siti Asmaul Mustaniroh(2*), Wike Agustin Prima Dania(3)

(1) Department of Agroindustrial Technology, Faculty of Agricultural Technology, Brawijaya University, Jl. Veteran, Malang 65145
(2) Department of Agroindustrial Technology, Faculty of Agricultural Technology, Brawijaya University, Jl. Veteran, Malang 65145
(3) Department of Agroindustrial Technology, Faculty of Agricultural Technology, Brawijaya University, Jl. Veteran, Malang 65145
(*) Corresponding Author

Abstract


Increasing the productivity of potato chip in Micro, Small, and Medium Enterprises (MSMEs) through the institutional model is significantly strengthening the economy of Batu City, especially as a tourist destination city. The institutional model ensures the smooth operation of supply chain activities due to the interactions between the actors, facilitating coordination, information sharing, and integration from upstream to downstream. This model can be used to improve the performance. To improve the performance, supply chain of potato chip MSMEs cluster faces several challenges including a limited supply of raw materials and finished products, price fluctuations, non-optimal drying processes, and inconsistent quality. Therefore, the study aimed to conduct a holistic evaluation and improvement method on the interconnected constraints to enhance supply chain’s performance. The integration of Interpretive Structural Modelling (ISM) and Analytic Network Process (ANP) methods was applied to observe interactions between key elements in development of supply chain institutional potentials and to prioritize development strategies. The results showed that the key elements that influenced development of the organizations related to labor capability, diversity of raw material quality, the potential for collaboration relationships, minimizing the risk of drying during the rainy season, and participation of various actors. Based on the largest WANP weight value (0.230), the primary strategy for supply chain development in the SME cluster was the implementation of digital-based marketing. Furthermore, improving the institutional performance model of potato chip MSMEs cluster supply chain included the participation of internal and external quality assurance organizations in the product quality audit process. Ensuring product quality consistency through these audits would support digital-based marketing and help mitigate issues related to product quality and supply consistency.

Keywords


MSMEs cluster; potato chip; supply chain organizations

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References

Ali, M. H., Suleiman, N., Khalid, N., Tan, K. H., Tseng, M. L., & Kumar, M. (2021). Supply chain resilience reactive strategies for food SMEs in coping with COVID-19 crisis. Trends in Food Science & Technology, 109, 94–102. https://doi.org/10.1016/J.TIFS.2021.01.021

Anh Do, V. P., & Bui, Q. T. (2022). The influence of leadership personality on profitability and firm investment in human capital: The case of Vietnamese SMEs. Finance Research Letters, 47(PA), 102960. https://doi.org/10.1016/j.frl.2022.102960

Arifin, M. H. F., Mustaniroh, S. A., & Sucipto, S. (2021). Application of the Six Sigma DMAIC in quality control of potato chip to reduce production defects. IOP Conference Series: Earth and Environmental Science, 924, 012056.

Arsiwi, P., & Adi, P. W. (2020). Strategi Peningkatan Keunggulan Kompetitif UKM Mina Indo Sejahtera Dengan Metode Interpretive Structural Modelling dan Analytic Network Process. Jurnal Teknik Industri, 10(3), 218–226.

Bai, C., Quayson, M., & Sarkis, J. (2021). COVID-19 pandemic digitization lessons for sustainable development of micro and small- enterprises. Sustainable Production and Consumption, 27, 1989–2001. https://doi.org/10.1016/j.spc.2021.04.035

BPS Kota Batu. (2020). Produksi Tanaman Sayuran Menurut Menurut Kecamatan dan Jenis Tanaman di Kota Batu, 2018 dan 2019. Hortikultura. https://batukota.bps.go.id/statictable/2020/05/15/737/produksi-tanaman-sayuran-menurut-kecamatan-dan-jenis-tanaman-di-kota-batu-2018-dan-2019.html

Chatterjee, S., Chaudhuri, R., Shah, M., & Maheshwari, P. (2022). Big data-driven innovation for sustaining SME supply chain operation in post COVID-19 scenario : The moderating role of SME technology leadership. Computers & Industrial Engineering, 168(March), 108058. https://doi.org/10.1016/j.cie.2022.108058

Dania, W. A. P., Effendi, U., & Anggasta, F. (2012). Application Just-In-Time in Potatoes Inventory Planning and Control (Case Study at Agronas Gizi Food Company at Batu City). Industria: Jurnal Teknologi Dan Manajemen Agroindustri, 1(1), 22–30.

Dania, W. A. P., Xing, K., & Amer, Y. (2018). Collaboration behavioral factors for sustainable agri-food supply chains : A systematic review. Journal of Cleaner Production, 186, 851–864.

Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Hadi, D. K., Putri, R. A., Farida, S. N., & Santoso, I. (2021). Application of Cleaner Production in a Fruit Chip Industry. Industria: Jurnal Teknologi Dan Manajemen Agroindustri, 10(2), 162–171.

Hayuningtyas, M., Marimin, & Yuliasih, I. (2019). Performance Improvement, Risk Mitigation, and Institutional Analysis of Red Chilli Supply Chain in Garut District. Jurnal Teknologi Industri Pertanian, 30(1), 22–35.

Kusumaningtyas, O. W., Mustaniroh, S. A., & Astuti, R. (2021). Risk Identification in Potato Chip Production using Supply Chain Operation Model (SCOR). Advances in Engineering Research, 212, 27–33. https://doi.org/https://dx.doi.org/10.2991/aer.k.211221.004

Marimin, & Safriyana. (2018). Evaluation of palm oil supply chain’s performance, added value, and performance improvement: A case study at X Co. IOP Conference Series: Earth and Environmental Science, 196(012001).

Mustaniroh, S. A., Widyanantyas, B. A., & Kamal, M. A. (2021). Quality control analysis for minimizing defects in potato chip production using Six Sigma DMAIC. IOP Conference Series: Earth and Environmental Science, 733(1). https://doi.org/10.1088/1755-1315/733/1/012053

Nemtajela, N., & Mbohwa, C. (2017). Relationship between Inventory Management and Uncertain Demand for Fast Moving Consumer Goods Organisations. Procedia Manufacturing, 8(October 2016), 699–706. https://doi.org/10.1016/j.promfg.2017.02.090

Nuraini, C., Masyhuri, M., Jamhari, J., & Hadi Darwanto, D. (2016). Model Kelembagaan pada Agribisnis Padi Organik Kabupaten Tasikmalaya. AGRARIS: Journal of Agribusiness and Rural Development Research, 2(1), 9–16.

Osterwalder, A., & Pigneur, Y. (2017). Business Model Generation (Tim Clark (ed.)). PT Elex Media Komputindo.

Rosidi, A. R., Mustaniroh, S. A., & Deoranto, P. (2017). Institutional Supply Chain Analysis of Copra Agroindustry (Case Study in East Halmahera Regency). Jurnal Teknologi Pertanian, 18(2), 91–106.

Sarinah, S., & Djatna, T. (2015). Analisis Strategi Penanganan Risiko Kekurangan Pasokan pada Industri Pengolahan Rumput Laut: Kasus di Sulawesi Selatan. AgriTECH, 35(2), 223–233.

Sembiring, A., Muharam, A., Rosliani, R., & Setiani, R. (2018). Penentuan Pilihan Model Kelembagaan untuk Pengembangan Perbenihan Bawang Merah Melalui True Shallot Seed di Jawa Timur. Jurnal Hortikultura, 28(2).

Shafi, M., Liu, J., & Ren, W. (2020). Impact of COVID-19 pandemic on micro, small, and medium-sized Enterprises operating in Pakistan. Research in Globalization, 2. https://doi.org/10.1016/j.resglo.2020.100018

Sumantika, A., Guritno, A. D., & Khuriyati, N. (2021). Mitigasi Risiko pada Industri Pengalengan Gudeg Risk Mitigation at Industrial Canning Gudeg. AgriTECH, 41(2), 107–123.

Tamtam, F., & Tourabi, A. (2021). Interpretive structural modeling of supply chain legality during COVID-19. IFAC-PapersOnLine, 54(17), 12–17. https://doi.org/10.1016/j.ifacol.2021.11.019

Teniwut, W. A., Betaubun, K. D., Marimin, M., & Djatna, T. (2020). Mitigasi Rantai Pasok Rumput Laut dengan Pendekatan House of Risk dan Fuzzy AHP di Kabupaten Maluku Tenggara. AgriTECH, 40(3), 242–253.

Timisela, N., Leatemia, E., Polnaya, F., & Breemer, R. (2017). Supply Chain Management of Agro-Industry of Cassava. JAM: Journal of Applied Management, 15(1), 135–145.

Timisela, N., Masyhuri, M., Darwanto, D. H., & Hartono, S. (2014). Manajemen Rantai Pasok dan Kinerja Agroindustri Pangan Lokal Sagu di Propinsi Maluku: Suatu Pendekatan Model Persamaan Struktural. AgriTECH, 34(2), 184–193.

Wibowo, Y., Purnomo, B. H., & Kristio, A. (2021). The Agroindustry Development Strategy for Java Ijen-Raung Arabica Coffee, in Bondowoso Regency, East Java. Industria: Jurnal Teknologi Dan Manajemen Agroindustri, 10(2), 135–148.

Yang, Z., & Lin, Y. (2020). The effects of supply chain collaboration on green innovation performance : An interpretive structural modeling analysis. Sustainable Production and Consumption, 23, 1–10. https://doi.org/10.1016/j.spc.2020.03.010



DOI: https://doi.org/10.22146/agritech.85692

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