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All Journal Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Jurnal Bisnis Tani ZIRAA'AH MAJALAH ILMIAH PERTANIAN Target : Jurnal Manajemen Bisnis Jurnal EMA (Ekonomi Manajemen Akuntansi) Agrimansion: Agribusiness Management & Extension JAGO TOLIS : Jurnal Agrokompleks Tolis Jurnal Agristan Agripreneur : Jurnal Pertanian Agribisnis Sharia Agribusiness Journal
Wati, Dewi Rohma
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Immunology & microbiology Social Sciences Transportation

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Inventory Control in Operations Management: A Study on Wood Ear Mushroom Caesari, Aisyah Putri; Wati, Dewi Rohma
Target : Jurnal Manajemen Bisnis Vol. 7 No. 2 (2025): Target : Jurnal Manajemen Bisnis
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/target.v7i2.5673

Abstract

Wood ear mushroom is a high-value commodity with beneficial nutritional content and growing consumer demand, thanks to its high fiber, vitamins, and cholesterol-free status. However, CV. XYZ faces persistent inventory issues because it does not operate cultivation facilities and relies entirely on fixed purchases from farmers. This condition often leads to oversupply, quality deterioration, and high storage costs, indicating a mismatch between procurement decisions and actual market demand. This study aims to forecast demand using the Single Exponential Smoothing method, analyze inventory con- trol through the Wagner-Within Algorithm and Silver Meal method, and compare their cost efficiency with the company’s existing policy. The analysis uses historical data on demand, holding costs, ordering costs, and time periods from April 8, 2024, to June 1, 2025, followed by projections for 30 future peri- ods. The results show that total forecasted demand reaches 160.195 kg with α = 0.1, which produces the lowest forecasting error. Both the Wagner-Within Algorithm and Silver Meal method achieve 33% cost efficiency, generating an inventory cost of IDR 46,551,418 with 15 orders, compared to the existing policy’s IDR 60,849,090 with 30 orders. These findings indicate that the Wagner-Within Algorithm provides a more comprehensive and effective framework for formulating inventory policies. Optimizing order timing and quantities helps reduce storage costs, minimize quality losses, and enhance operational efficiency, making it a strategic approach for managing high-value and perishable commodities such as wood ear mushrooms.
Co-Authors A., Karla Delfina Abida, Dhiya Anam, Faizal Khaerul Aulia, Adinda Aura Zahrah, Afita Balqis, Adinda Sultanah Urfani Caesari, Aisyah Putri Iftinan, Danisy Nadira Indy Nurkhoiri, Fahru Lestari, Anisa Septia Wahyu M.A, Intan Nurluqyana Maharani, Nindya Dewi Mardhotillah, Afifah Syafiqoh Maulana, Rifqi Adrian May sarah Nabila, Aisyah Putri Nadia Farhana, Nadia Nisa, Amira Zaimatun Nurlatipah, Syifa Pusparani, Annisa Marchelyn Putri, Mitha Octaviani Rachmawati , Yasiska Cahya Ramadhan, Naufal Atha Ramdani, Agung Aji Sari, Rizki Adi Puspita Sigit Nugroho Syahfitri Noor, Nabilla Jihan Syahrizal, Azwin Wafa, Azril Zein, Muhammad Hafizh