Transformasi Peramalan Permintaan (Demand Forecasting) Dan Pengendalian Persediaan Berbasis Artificial Intelligence: Kerangka Konseptual Efisiensi Biaya Operasional

Authors

  • Nurindah Nurindah Universitas Muslim Indonesia
  • Suhardi Suhardi Universitas Muslim Indonesia
  • Suriyanti Suriyanti Universitas Muslim Indonesia
  • Ramlawati Ramlawati Universitas Muslim Indonesia

Abstract

ABSTRACT

Demand uncertainty, the bullwhip effect, and the trade-off between holding and shortage costs make traditional statistical forecasting and static inventory models inadequate. This conceptual study develops an operational cost-efficiency framework through a systematic literature synthesis of 28 articles (2019–2026), retrieved with Publish or Perish and analysed deductively and comparatively. The AI-Driven Demand & Inventory Optimization (AIDIO) framework links lower forecast error to dynamic inventory-parameter adjustment. Indonesian retailers and MSMEs should adopt AI gradually, according to data readiness.

Keywords: artificial intelligence, bullwhip effect, demand forecasting, inventory control, operational cost

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Published

2026-11-13

How to Cite

Nurindah, N., Suhardi, S., Suriyanti, S., & Ramlawati, R. (2026). Transformasi Peramalan Permintaan (Demand Forecasting) Dan Pengendalian Persediaan Berbasis Artificial Intelligence: Kerangka Konseptual Efisiensi Biaya Operasional. Journal Of Human And Education (JAHE), 6(6), 467–478. Retrieved from http://jahe.or.id/index.php/jahe/article/view/3203

Issue

Vol. 6 No. 6 (2026): Journal of Human And Education (JAHE).

Section

Articles

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Copyright (c) 2026 Nurindah Nurindah, Suhardi Suhardi, Suriyanti Suriyanti, Ramlawati Ramlawati

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