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All Journal Majalah Ilmiah Matematika Komputer Majalah Ilmiah Ekonomi Komputer Industrial and Systems Engineering Assessment Journal (INASEA) Jurnal Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Sistem Teknik Industri Journal of Industrial Engineering Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi International Journal of Engineering, Technology and Natural Sciences (IJETS) BERNAS: Jurnal Pengabdian Kepada Masyarakat JRABA Review of Accounting and Business Riset Ilmu Manajemen Bisnis dan Akuntansi Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Jornal Of Tourism Sciences (Toursci) Journal Of Medicine And Health Sciences (Medisci) Journal Of Economic Sciences (Ekuisci) Journal Of Agriculture Sciences (Agrosci) Journal of Community Service (Abdisci) Journal Of Engineering Sciences (Improsci)
Sani Susanto
Universitas Katolik Parahyangan
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Forecasting Demand for Cardboard Boxes Using Some Forecasting Method at PT XYZ Lina Gozali; Wildan; I Wayan Sukania; Ahad Ali; Sani Susanto
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.22252

Abstract

In the manufacturing sector, accurate demand forecasting is essential for effective material planning and inventory management. PT. XYZ, a company specialising in the production of corrugated carton boxes, currently faces challenges aligning raw material procurement with market demand due to the use of subjective, non-systematic forecasting methods. This research proposes applying statistical forecasting techniques to develop a more reliable and automated forecasting system. The study utilises historical monthly sales data collected over a one-year period, which are analysed using time series forecasting methods. The models are assessed based on key forecasting error metrics, including mean absolute deviation, mean squared error, and mean absolute percentage error. The model construction, data processing, and visualisation, thereby improving efficiency and reducing manual intervention. The findings reveal that combining seasonal statistical models with programming tools enhances forecast accuracy and supports data-driven decision-making within the organisation. This forecasting system can assist the planning division of PT. XYZ is optimising raw material allocation, reducing excess inventory, and preventing material shortages. In conclusion, the study recommends that PT. XYZ implements the decomposition forecasting model as a practical solution for improving the quality of its sales data. The research contributes to the development of forecasting systems tailored for industrial environments with fluctuating, seasonal demand.
Co-Authors AA Sudharmawan, AA Achmad Alfian Ahad Ali Akhmad Farikhin Alfian, Achmad Andrean Gunawan Andy Yusuf Martua Anggorowati, Yuni Archer, Raphael Ayu Pramiarsih Basarah, Iwan Mumin Catharina, Clara Daniel Godjali, Vincentius Daniel Kurniawan Daniel Siswanto Daniel Siswanto David Lihan Dedi Suryadi Dedy Suryadi Dominikus Budiarto Dominikus Budiarto, Dominikus Edah Jubaedah Elkana Timotius F. Rian Pratikto F. Rohman Fatahillah Ramdhan, R. Adji Fathurohman, Muhamad Felicia Natalie Wangsa Ferdinand, Ryan Gerardus Daniel Julianto Hari Adianto Hari Adianto Hari Adianto Hery Syaerul Homan Hilmi Istiqomah Nursyam Homan, Hery Syaerul I Wayan Sukania Indranila, M.V. Irsan Herlandi Putra Iwan Mumin Basarah Jayawarsa, A.A. Ketut Jovan Kurnia, Christopher Jubaedah, Edah Juliyanto Juliyanto Kevin Handika, Natanael Lianching Christiane Nasali Lina Gozali Marihot Nainggolan Matthew Ramandri, Andreas Micheline Rinamurti Micheline Rinamurti, Micheline Ming Chen Monica Nathania Utama Muhammad Syahrudin Nashar, Gifari Bayu Nurwijayanti Nuzulan, Faza Firdaus Orpha Jane Paulus Sukapto Pratama, Yohanes Dicka Rian Praktikto, Franciscus Rian Praktikto, Fransiscus Setiawan, Heri Shafira Putri, Adeela Steven Lias Sugih S Tjandra Suryahartanto, Geraldy Syah Tjaja, Arief Irfan Thedy Yogasara Ulfa Nur Ulumiah Wildan YMK Aritonang YMK Aritonang Yohanes Dicka Pratama Yuni Anggorowati Yusuf W, Yogi