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PENENTUAN PRIORITAS STRATEGI PEMASARAN UMKM NAIK KELAS Elanjati Worldailmi; Sinta Wulandari; Syafa Thania Prawibowo
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 16, No 2 (2022): Jurnal PASTI
Publisher : Universitas Mercu Buana

UMKM merupakan usaha sebagai penopang perekonomian di Indonesia serta berperan besar dalam pertumbuhan dan perkembangan bagi perokonomian. Pemberdayaan UMKM sangat penting dilakukan untuk memperkuat sturktur perekonomian negara. Salah satu langkah yang dapat diimplementasikan adalah melakukan Gerakan UMKM Naik Kelas, yaitu suatu kemampuan untuk meningkatkan usaha dalam pengembangan pemasaran pada UMKM. Penelitian bertujuan untuk menganalisis strategi pemasaran sehingga mengetahui kriteria strategi pemasaran yang menjadi prioritas dan berpengaruh penting agar UMKM dapat naik kelas dengan menggunakan metode Analytical Hierarchy Process (AHP) serta pendekatan prinsip pareto. Hasil pada penelitian menggunakan AHP responden yang memiliki nilai CR >0,1 berdasarkan responden terpilih menunjukkan bahwa terdapat empat kiteria penting dalam pemasaran, yaitu kolaborasi dengan perusahaan besar dengan nilai eugen vector 0.090, memperhatikan orientasi pasar dan membuat strategi pasar yang menggabungkan antara periklanan dan promosi global nilai eugen vector 0.086, mengembangkan atau berinovasi produk baru nilai eugen vector 0.075, serta customer relationship management nilai eugen vector 0.067.

A Mixed-Integer Linear Programming Model for the Rice Supply Chain in Karawang Regency to Minimize Costs Agus Mansur; Pratiwi, Annisa Indah; Prawibowo, Syafa Thania
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan (in press)
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1083

The rice supply chain in Indonesia plays a vital role in national food security, where efficient distribution ensures price stability and availability in the market. However, the complexity of multi-echelon systems often leads to inefficiencies in procurement, production, and distribution. This study aims to develop a Mixed-Integer Linear Programming (MILP) model to optimize the rice supply chain in Karawang Regency, focusing on cost minimization while integrating environmental and risk considerations. Using dummy data on supply, demand, production, distribution, labor, and emissions, the model was tested with Microsoft Excel Solver. The results show that procurement from farmer groups is the largest cost component (51.24%), followed by production (23.96%) and distribution (23.19%), with a total cost of USD 1,783,113,142. Optimization achieved a 13% cost reduction and a 9% emission reduction compared to non-optimized conditions, while risk assessment identified M2–J2 supply (RPN = 20) and J1 production (RPN = 16) as the most critical hazards. These findings suggest practical implications for Perum Bulog and policymakers, including strengthening procurement planning, optimizing warehouse allocation, and adopting cleaner production technologies to improve both efficiency and sustainability. The novelty of this study lies in integrating hazard-based risk assessment with MILP for a regionally strategic rice supply chain, while simultaneously considering cost efficiency and carbon emission constraints. This provides both theoretical contributions to sustainable supply chain optimization and practical strategies for policy driven food security.

A Mixed-Integer Linear Programming Model for the Rice Supply Chain in Karawang Regency to Minimize Costs Agus Mansur; Annisa Indah Pratiwi; Syafa Thania Prawibowo
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 2 No. I (2023): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1083

The rice supply chain in Indonesia plays a vital role in national food security, where efficient distribution ensures price stability and availability in the market. However, the complexity of multi-echelon systems often leads to inefficiencies in procurement, production, and distribution. This study aims to develop a Mixed-Integer Linear Programming (MILP) model to optimize the rice supply chain in Karawang Regency, focusing on cost minimization while integrating environmental and risk considerations. Using dummy data on supply, demand, production, distribution, labor, and emissions, the model was tested with Microsoft Excel Solver. The results show that procurement from farmer groups is the largest cost component (51.24%), followed by production (23.96%) and distribution (23.19%), with a total cost of USD 1,783,113,142. Optimization achieved a 13% cost reduction and a 9% emission reduction compared to non-optimized conditions, while risk assessment identified M2–J2 supply (RPN = 20) and J1 production (RPN = 16) as the most critical hazards. These findings suggest practical implications for Perum Bulog and policymakers, including strengthening procurement planning, optimizing warehouse allocation, and adopting cleaner production technologies to improve both efficiency and sustainability. The novelty of this study lies in integrating hazard-based risk assessment with MILP for a regionally strategic rice supply chain, while simultaneously considering cost efficiency and carbon emission constraints. This provides both theoretical contributions to sustainable supply chain optimization and practical strategies for policy driven food security.

Collaborative digital marketing and supply chain management for micro, small and medium enterprises Agus Mansur; Razel Thimoty; Syafa Thania Prawibowo; Wahyudi Sutrino; Fadhil Adita Ramadhan; Tiara Febian
International Journal of Industrial Optimization Vol. 6 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v6i2.11739

This study explores specific supply chain challenges faced by Batik Ayu Arimbi, a small-scale business in the batik industry, particularly how the manual calculations in its make-to-stock system impact its financial accuracy and operational efficiency. The company has been experiencing financial losses due to these inaccuracies. To address these issues, this research proposes improvements in supply chain management by implementing Business Process Model Notation (BPMN) to streamline process visualization and coordination among the artisans, showrooms, and production houses. The use of digital marketing platforms, particularly Instagram, is also suggested to optimize marketing efforts and achieve sales targets. This study contributes to the literature by emphasizing novel BPMN implementation aspects and demonstrating the effectiveness of digital marketing for MSMEs in the textile sector. The qualitative data was collected through semi-structured interviews, which provided insights into current practices and areas for improvement. The findings show that increased cooperation between supply chain actors reduces inventory errors by 20% and increases the accuracy of financial tracking by 15%, thereby reducing operational risks. Furthermore, the digital marketing strategies increased customer engagement rates by 25%, directly contributing to sales growth. The findings further suggest that the proposed solutions not only resolve the identified problems but also provide a scalable model for enhancing resilience in Batik Ayu Arimbi’s supply chain operations as one of MSMEs. In conclusion, boosting sustainability and performance in MSMEs requires improved supply chain collaboration and the strategic application of digital tools.

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