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All Journal Syntax Idea Jurnal Ekuivalensi The Indonesian Journal of Accounting Research JRAK (Jurnal Riset Akuntansi dan Bisnis) (e-Journal) Jurnal Revenue : Jurnal Ilmiah Akuntansi AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis MES Management Journal WORLDVIEW ( Jurnal Ekonomi Bisnis dan Sosial Sains ) Enrichment: Journal of Multidisciplinary Research and Development VISA: Journal of Vision and Ideas El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam El-Mujtama: Jurnal Pengabdian Masyarakat journal of social and economic research Journal of Ekonomics, Finance, and Management Studies As-Syirkah: Islamic Economic & Financial Journal
Slamet Riyadi
Universitas 17 Agustus 1945 Surabaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : As-Syirkah: Islamic Economic

 1 
Analisis Pengaruh Forecasting Demand Terhadap Efisiensi Manajemen Persediaan Gilbert Billy Rivaldo Matahurila; Fandi Pratama Putra; Adam Maulana; Slamet Riyadi; Maria Yovita R Pandin
As-Syirkah: Islamic Economic & Financial Journal Vol. 3 No. 3 (2024): As-Syirkah: Islamic Economic & Financial Journal 
Publisher : Ikatan Da'i Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56672/spvv5821

Abstract

This study analyzes the impact of demand forecasting on inventory management efficiency, focusing on the implementation of the ARIMA method in the context of a manufacturing company in Indonesia. Using a quantitative case study approach, the research explores the relationship between forecasting accuracy and key inventory performance metrics. Results indicate that improved forecasting accuracy significantly enhances inventory efficiency, with the ARIMA method outperforming traditional methods. The implementation of ARIMA resulted in a 36.8% increase in Inventory Turnover Ratio and a 53.3% decrease in stockout rate. Time series analysis revealed a long-term improvement trend in inventory efficiency with significant seasonal components. This research provides valuable insights for practitioners and academics on the critical role of demand forecasting in optimizing inventory management and the potential of the ARIMA method in improving companies' operational efficiency.  
Co-Authors - Hwihanus Adam Maulana Agus Agus Ardhi Islamudin Arif Hartadi Ario Bagus Nugroho Azarine Nahdah Amelia Desmala Paranti Dian Ermayanti Dinda Dwi Kurniawati Dwi Fitrianti Ervina Ervina Esti Wulandari Fandi Pratama Putra Febrian Dimas J. Wibowo Gilbert Billy Rivaldo Matahurila Gillbert Billy Rivaldo Matahurila Hanie Teki Tjendani Ida Bagus Ketut Bayangkara Irma Nur Fadlia Jena Sarita Lilik Faiqotul Himmah M. Aziz Maria Alni Lau Goo Maria Yovita R Pandin Maria Yovita R. Pandin Meilani Nur Maulida Muhamad Dian Aryono Mukhamad Fauzan Aldi Nadine Ramadhanty Nurhayat Rokhmat Wijaya Rakmat Dwi Anugrah Putra Ririt Iriani Sri Setiawati Sariah Seto Wahyu Prasetyo Suci Harira Sari Hatuina Suhari Suhari Sunu Priyawan Titin Wahyuni Winda Dwi Octavia Zaenal Arifin