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All Journal Journal of Artificial Intelligence and Digital Business Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce
Tita Puspita Sari
Universitas Panca Sakti Bekasi
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Systematic Literature Review AI pada WMS untuk Akurasi Stok dan Produktivitas Pergudangan Wahyudin Ahmadi; Anton Sutriyana; Tita Puspita Sari; Muhammad Afrija Agung Nurpratama
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11818

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah membawa transformasi signifikan dalam pengelolaan sistem pergudangan modern, terutama dalam mendukung proses operasional yang lebih akurat, efisien, dan berbasis data. Penelitian ini bertujuan untuk melakukan tinjauan literatur secara sistematis mengenai penerapan AI pada Warehouse Management System (WMS) dalam mengoptimalkan akurasi stok dan meningkatkan produktivitas pergudangan. Penelitian menggunakan pendekatan Systematic Literature Review (SLR) dengan mengacu pada kerangka PRISMA 2020 sebagai pedoman dalam proses identifikasi, seleksi, dan analisis literatur. Sebanyak 25 artikel ilmiah yang diterbitkan pada periode 2023–2026 telah diidentifikasi, diseleksi berdasarkan kriteria yang ditetapkan, dan dianalisis untuk memperoleh gambaran mengenai perkembangan penerapan AI dalam sistem pergudangan. Hasil kajian menunjukkan bahwa teknologi yang dominan diterapkan meliputi Machine Learning (ML), Deep Reinforcement Learning (DRL), Internet of Things (IoT) yang terintegrasi dengan AI, dan Digital Twin. Pada studi yang menyajikan data kuantitatif, rata-rata peningkatan akurasi stok yang dilaporkan mencapai 28,2%. Penerapan teknologi tersebut juga berkontribusi terhadap optimalisasi proses operasional, peningkatan efisiensi aktivitas pergudangan, percepatan pengambilan keputusan berbasis data, serta pengurangan pemborosan energi dan sumber daya. Meskipun demikian, implementasinya masih menghadapi sejumlah tantangan, seperti keterbatasan infrastruktur teknologi, kompleksitas integrasi dengan sistem yang telah tersedia, kebutuhan terhadap data berkualitas tinggi, serta kesiapan sumber daya manusia. Temuan penelitian ini diharapkan dapat menjadi landasan bagi peneliti, praktisi industri, dan pengembang sistem dalam merancang serta mengembangkan WMS berbasis AI yang lebih efektif, adaptif, dan berkelanjutan
Analisis Penerapan Sistem Manajemen Gudang dalam Operasional Tita Puspita Sari; Ratna Tri Hari Safariningsih; Joni Tesmanto
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 5 No. 3 (2026): September : Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v5i3.7813

Abstract

The implementation of Warehouse Management System (WMS) has become an important part of modern warehouse operations because it supports the management of information and material flows more systematically. However, the success of WMS implementation is not solely determined by technological sophistication, but also by employee acceptance and adaptation to the system. This study aims to explore employees’ experiences and perceptions regarding the implementation of WMS in warehouse operations at PT YCH Indonesia. The research employed a qualitative approach with a case study method. Data were collected through observation, in-depth interviews, and documentation involving seven informants consisting of a warehouse supervisor, warehouse administrators, warehouse operators, and logistics staff. The findings indicate that WMS implementation has transformed employees’ work experiences, particularly in terms of process speed, work certainty, data accuracy, and reduced human error. Employees also perceived operational efficiency through reduced cognitive workload, increased confidence in system data, and better connectivity between work processes. However, the implementation still faces technical barriers, limited understanding of system functions, and psychological challenges during adaptation. The study indicates that successful WMS implementation depends not only on technological capabilities but also on human resource readiness, adequate training, management support, and organizational adaptation. These findings provide insight into WMS implementation from the perspective of employees who interact directly with the system in daily warehouse operations.
Co-Authors Anton Sutriyana Joni Tesmanto Muhammad Afrija Agung Nurpratama Ratna Tri Hari Safariningsih Wahyudin Ahmadi