Penerapan Supply Chain Management Berbasis MTO Pada Perusahaan di Bidang Interior

Karina Nine Amalia; Tri Agustina Ngrahani; Khorunnisa Affandi

doi:10.47134/jacis.v5i2.143

Authors

Karina Nine Amalia Universitas Jember
Tri Agustina Ngrahani Universitas Jember
Khorunnisa Affandi Universitas Jember

DOI:

https://doi.org/10.47134/jacis.v5i2.143

Keywords:

supply chain management, make to order, sarima, prediksi bahan baku, CV GN, Waterfall

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem digitalisasi Supply Chain Management (SCM) berbasis strategi Make to Order (MTO) dan metode prediksi Seasonal ARIMA (SARIMA) pada CV, GN. Permasalahan utama yang dihadapi adalah belum adanya sistem terintegrasi untuk proses pemesanan, pencatatan stok, dan permintaan bahan ke supplier, sehingga sering terjadi keterlambatan produksi. Penelitian menggunakan pendekatan kualitatif deskriptif dan metode pengembangan sistem model Waterfall. Sistem ini mencakup fitur pemesanan proyek, perhitungan kebutuhan bahan, monitoring stok, serta integrasi dengan supplier dan modul prediksi permintaan. Hasil implementasi menunjukkan bahwa sistem dapat meningkatkan efisiensi proses produksi, meminimalkan kesalahan pencatatan, dan mendukung pengambilan keputusan dalam pengadaan bahan secara lebih terstruktur

References

[1] A. S. A. S. Putra and P. Prihandoko, “Implementasi sistem informasi manajemen rantai pasok pada Rizqy Agung Catering,” Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI), vol. 6, no. 4, pp. 857-866, 2025. DOI: https://doi.org/10.30998/jrami.v6i04.10519

[2] T. Yoga, D. Koestiono, and A. Shinta, “Analisis pengaruh praktek dan integrasi rantai pasok terhadap kinerja operasional UKM agroindustri di Kota Malang,” Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis, vol. 6, no. 1, pp. 34-44, 2022. DOI: https://doi.org/10.30737/agrinika.v6i1.2164

[3] M. Igashi, K. J. Ringim, I. B. Bugaje, and H. S. Sambo, “Supply chain management practices and SMEs performance: Role of information technology capability,” Nigerian Journal of Management Sciences, vol. 24, no. 1, 2023.

[4] D. I. Sari, R. Saputra, and D. Handinata, “Supply chain management resilience: How it works to the sustainability of culinary smes through decade,” Indonesian Journal of Business and Entrepreneurship (IJBE), vol. 10, no. 2, pp. 367-378, May 2024. DOI: https://doi.org/10.17358/ijbe.10.2.367

[5] M. M. Rounaghi, H. Jarrar, and L. P. Dana, “Implementation of strategic cost management in manufacturing companies: Overcoming costs stickiness and increasing corporate sustainability,” Future Business Journal, vol. 7, no. 1, Art. no. 31, 2021. DOI: https://doi.org/10.1186/s43093-021-00079-4

[6] I. Oubrahim and N. Sefiani, “Exploring the drivers and barriers to digital transformation adoption for sustainable supply chains: A comprehensive overview,” Acta Logistica (AL), vol. 10, no. 2, 2023. DOI: https://doi.org/10.22306/al.v10i2.396

[7] D. Wu and F. Chen, “The distributionally robust inventory strategy of the overconfident retailer under supply uncertainty,” Systems, vol. 11, no. 7, Art. no. 333, 2023. DOI: https://doi.org/10.3390/systems11070333

[8] Y. Ensafi, S. H. Amin, G. Zhang, and B. Shah, “Time-series forecasting of seasonal items sales using machine learning–A comparative analysis,” International Journal of Information Management Data Insights, vol. 2, no. 1, Art. no. 100058, 2022. DOI: https://doi.org/10.1016/j.jjimei.2022.100058

[9] S. Demiray Kırmızı, Z. Ceylan, and S. Bulkan, “Enhancing inventory management through safety-stock strategies—A case study,” Systems, vol. 12, no. 7, Art. no. 260, 2024. DOI: https://doi.org/10.3390/systems12070260

[10] A. Mishra and Y. I. Alzoubi, “Structured software development versus agile software development: A comparative analysis,” International Journal of System Assurance Engineering and Management, vol. 14, no. 4, pp. 1504-1522, 2023. DOI: https://doi.org/10.1007/s13198-023-01958-5

[11] A. Saravanos and M. X. Curinga, “Simulating the software development lifecycle: The waterfall model,” Applied System Innovation, vol. 6, no. 6, Art. no. 108, 2023. DOI: https://doi.org/10.3390/asi6060108

[12] D. Ciric Lalic, B. Lalic, M. Delić, D. Gracanin, and D. Stefanovic, “How project management approach impact project success? From traditional to agile,” International Journal of Managing Projects in Business, vol. 15, no. 3, pp. 494-521, 2022. DOI: https://doi.org/10.1108/IJMPB-04-2021-0108

[13] D. B. Aniley, E. A. Jalew, and G. A. Agegnehu, “Selection of software development life cycle models using machine learning approach,” Int J Comput Appl, vol. 186, pp. 36-43, 2024. DOI: https://doi.org/10.5120/ijca2024924041

[14] M. I. Hossain, “Software development life cycle (SDLC) methodologies for information systems project management,” International Journal for Multidisciplinary Research, vol. 5, no. 5, pp. 1-36, 2023. DOI: https://doi.org/10.36948/ijfmr.2023.v05i05.6223

[15] F. R. Alharbi and D. Csala, “A seasonal autoregressive integrated moving average with exogenous factors (SARIMAX) forecasting model-based time series approach,” Inventions, vol. 7, no. 4, Art. no. 94, 2022. DOI: https://doi.org/10.3390/inventions7040094

[16] A. Borucka, “Seasonal methods of demand forecasting in the supply chain as support for the company’s sustainable growth,” Sustainability, vol. 15, no. 9, Art. no. 7399, 2023. DOI: https://doi.org/10.3390/su15097399

[17] K. Szostek, D. Mazur, G. Drałus, and J. Kusznier, “Analysis of the effectiveness of ARIMA, SARIMA, and SVR models in time series forecasting: A case study of wind farm energy production,” Energies, vol. 17, no. 19, Art. no. 4803, 2024. DOI: https://doi.org/10.3390/en17194803

[18] U. A. A. Anwar et al., “Supply chain integration as the implementation of strategic management in improving business performance,” Discover Sustainability, vol. 6, no. 1, Art. no. 101, 2025. DOI: https://doi.org/10.1007/s43621-025-00867-w

[19] M. Christopher, Logistics and Supply Chain Management, 6th ed. Harlow, UK: Pearson, 2023.

[20] C. Zhang et al., “Dual-objective optimization of prefabricated component logistics based on JIT strategy,” Scientific Reports, vol. 14, no. 1, Art. no. 31267, 2024. DOI: https://doi.org/10.1038/s41598-024-82689-w

[21] G. S. Hijjawi et al., “The mediating effect of digital supply chain management among the relationship between lean management and supply chain operations,” International Journal of Economics and Business Research, vol. 26, no. 2, pp. 146-162, 2023. DOI: https://doi.org/10.1504/IJEBR.2023.132642

[22] F. P. E. Putra, A. Zulfikri, A. Rohman, and R. Alim, “Analysis comparative of performance optimization techniques for PHP framework testing: Laravel, CodeIgniter, Symfony,” Brilliance: Research of Artificial Intelligence, vol. 5, no. 1, pp. 242-248, 2025. DOI: https://doi.org/10.47709/brilliance.v5i1.5989

[23] S. Sukirman et al., “The effect of promotion and customer satisfaction on the loyalty of E-Wallet Dana users in Samarinda,” Sebatik, vol. 28, no. 2, pp. 558-564, 2024. DOI: https://doi.org/10.46984/sebatik.v28i2.2254