Strategi Peningkatan Rantai Pasok UMKM Repro dengan Pendekatan Interpretive Structural Modelling

Authors

  • Lidia Puspita Sari Universitas Dian Nuswantoro
  • Arshinta Wilda Aulia Universitas Dian Nuswantoro
  • Tita Talitha Universitas Dian Nuswantoro

DOI:

https://doi.org/10.37090/indstrk.v9i1.1767

Abstract

The maggot cultivation industry managed by Repro MSMEs experiences various challenges such as, there is no integration between supply chain actors and Repro MSMEs are directly involved as producers and retailers because they market directly without going through intermediaries. The research respondent is an expert in the supply chain field totaling 5 people, data collection is carried out by a brainstorming process then Focus group discussion (FGD) and through a closed questionnaire. This research aims to create a strategy to improve the supply chain that is comprehensive and data-based in order to be more optimal. The ISM method is a strategic decision-making step to identify the interrelationships between the most influential variables. ISM data processing uses the help of ISM Professional 2.0 software. This research has successfully identified and modeled supply chain strategies from ten variables. Based on ISM modeling, the most significantly influential variable is variable A1, and at the top level is variable A9, this means that variable A9 becomes an entity with a low level of urgency. This research is expected to facilitate MSME owners to make decisions in determining priorities as a reference for implementing strategies that must be used in optimizing the supply chain system.

Keywords: Interpretive Structural Modeling, MSMEs, Supply Chain

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References

Anastasya, A. (2023, July 8). Data UMKM, Jumlah dan Pertumbuhan Usaha Mikro, Kecil, dan Menengah di Indonesia. UKMINDONESIA.ID.

Arsiwi, P., & Adi, P. W. (2020). Interpretive Structural Modelling Untuk Meningkatkan Daya Saing Rantai Pasok UKM Mina Indo Sejahtera. Jurnal PASTI, 14(1), 26–36. https://doi.org/10.22441/pasti.2020.v14i1.003

Arsiwi, P., & Adi, W. (n.d.). Strategi Peningkatan Keunggulan Kompetitif UKM Mina Indo Sejahtera Dengan Metode Interpretive Structural Modelling dan Analytic Network Process.

Browne, J., Sackett, J., & Wortman, J. (1995). Future Manufacturing System-towards the extended enterprise. Computers in Industry, 25(3), 235–254.

DATA UMKM. (2024, May 30). KEMENTERIAN KOPERASI DAN UKM REPUBLIK INDONESIA.

Doli Imam Anggara, Juliza Hidayati, & Sukaria Sinulingga. (2019). Identifikasi Peran Rantai Pasok Pada Usaha Mikro Kecil Menengah (UMKM) kota Medan. Talenta Conference Series: Energy and Engineering (EE), 2(4). https://doi.org/10.32734/ee.v2i4.657

Douw, N. I., Maarif, M. S., & Baga, L. M. (2021). PENINGKATAN PRODUKTIVITAS KERJA KARYAWAN DEVELOPMENT DI TAMBANG BAWAH TANAH DMLZ (DEEP MILL LEVEL ZONE) PT FREEPORT INDONESIA. Jurnal Aplikasi Bisnis Dan Manajemen. https://doi.org/10.17358/jabm.7.2.316

Hora, S. , C. (2004). Probability judgments for continuous quantities: linear combinations and calibration. . Management Science, 50(5), 597–604.

Mishra, P., & Sharma, R. K. (2015). Integration of Six Sigma and ISM to improve Supply Chain Coordination – A conceptual framework. International Journal of Production Management and Engineering, 3(1), 75. https://doi.org/10.4995/ijpme.2015.3150

Nyoman Pujawan, I. (Ed.). (2005). Supply Chain Management s (pertama). Guna Widya.

Putri, P. F., Marimin, & Yuliasih, I. (2020). PENINGKATAN EFEKTIVITAS DAN EFISIENSI MANAJEMEN RANTAI PASOK AGROINDUSTRI BUAH: TINJAUAN LITERATUR DAN RISET SELANJUTNYA. Jurnal Teknologi Industri Pertanian, 338–354. https://doi.org/10.24961/j.tek.ind.pert.2020.30.3.338

Ramadhany, M. F. A., & Wahyuni, H. C. (2024). Strategy For Increasing The Productivity Of PT. Intidi With Interpretive Structural Modelling (ISM) Method. Indonesian Journal of Innovation Studies, 25. https://doi.org/10.21070/ijins.v25i.1048

Ratna, Dayang Berliana, & Fitriani Fitriani. (2022). Analisis Rantai Pasok (Supply Chain) Kopi Robusta di Kabupaten Lampung Barat. Prosiding Seminar Nasional Pembangunan Dan Pendidikan Vokasi Pertanian, 3(1), 180–190. https://doi.org/10.47687/snppvp.v3i1.304

Rifaldi, M., Sumargo, B., & Zid, M. (2021). Penerapan Metode Interpretative Structural Modeling (ISM) dalam Menyusun Strategi Pengelolaan Sampah. Environment Science and Engineering Conference, 2(1), 11–18.

Suharjito, Machfud, Haryanto B, Sukardi, & Marimin. (2011). Pemodelan optimasi mitigasi risiko rantai pasok produk/komoditas jagung. Agritech, 215–227.

Suhendri, S. (2019). Analisis Saluran Distribusi Marning. 2(2), 410–422.

Sukendar, I., Sugiyon, A., & Prasetyo, B. A. (2022). Pemilihan Pemasok Bahan Baku Kain Menggunakan Metode Analytic Hierarchy Process (Ahp) Dan Technique for Order Preference By Similarity To Ideal Solution. Jurnal Ilmiah Sultan …, September, 980–993.

Thakkar, J. J., & et al. (2016). A Decision Framework for Supply Chain Planning in SMEs : A QFD-ISM-enabled ANP-GP Approach A Decision Framework for Supply Chain Planning in SMEs : A QFD-ISM-enabled ANP-GP Approach.

Verma, A. , Seth, N., & Singhal, N. (2018). Application of Interpretive Structural Modelling to establish Interrelationships among the Enablers of Supply Chain Competitiveness. Elsevier Ltd, 5(2), 4818–4823.

Wullur, M., B Sumarauw, J. S., Manajemen, J., & Ekonomi dan Bisnis, F. (2022). IDENTIFIKASI DESAIN JARINGAN MANAJEMEN RANTAI PASOK ARANG TEMPURUNG KELAPA DI MASA PANDEMI COVID-19 (STUDI KASUS DI DESA TATAKALAI KECAMATAN TINANGKUNG UTARA) IDENTIFY NETWORK DESIGN SUPPLY CHAIN MANAGEMENT OF COCONUT SHELL CHARCOAL DURING THE COVID-19 PANDEMIC (CASE STUDY IN TATAKALAI VILLAGE NORTH TINANGKUNG DISTRICT). 96 Jurnal EMBA, 10(2), 96–105. https://doi.org/10.35794/emba.v10i2.39467

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Published

2025-01-15