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Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Renaldo, Nicholas; Veronica, Kristy; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.
Pengaruh Employability Skills Dan Career Planning Terhadap Kesiapan Kerja Mahasiswa Tingkat Akhir Gen Z (Studi Kasus Pada Mahasiswa Sosial Di Universitas Kota Pekanbaru) Nugroho, Gilang; Indrastuti, Sri; Kurniawan, Wan Fauzi; Afwa, Awliya; Almuttaqin, Muhammad Akbar; Islam, Zahara Putri; Ulayya, Ezra Deavin
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 7 No. 2 (2026): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v7i2.10238

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh employability skills dan career planning terhadap kesiapan kerja mahasiswa sosial tingkat akhir Gen Z di Universitas Kota Pekanbaru. Penelitian ini terdiri dari dua variabel independen yaitu employability skills dan career planning dan satu variabel dependen yaitu kesiapan kerja mahasiswa. Metode analisis yang digunakan adalah analisis Structural Equation Model (SEM) menggunakan Smart PLS versi 4.1.1.6. Metode pengumpulan data pada penelitian ini adalah dengan menggunakan kuesioner yang diisi oleh responden yaitu mahasiswa sosial tingkat akhir Gen Z di Universitas Kota Pekanbaru yang berjumlah 100 responden. Hasil penelitian yang didapatkan secara parsial ialah 1) terdapat pengaruh positif dan signifikan antara employability skills terhadap kesiapan kerja mahasiswa sosial tingkat akhir Gen Z di Universitas Kota Pekanbaru. 2) terdapat pengaruh positif dan signifikan antara career planning terhadap kesiapan kerja mahasiswa sosial tingkat akhir Gen Z di Universitas Kota Pekanbaru. Sedangkan hasil secara penelitian secara simultan 3) terdapat pengaruh positif dan signifikan antara employability skills dan career planning terhadap kesiapan kerja mahasiswa sosial tingkat akhir Gen Z di Universitas Kota Pekanbaru.