eprintid: 5371 rev_number: 17 eprint_status: archive userid: 233 dir: disk0/00/00/53/71 datestamp: 2021-08-23 02:47:27 lastmod: 2021-08-23 02:50:07 status_changed: 2021-08-23 02:50:07 type: thesis metadata_visibility: show contact_email: repository@staff.ukdw.ac.id creators_name: 22064081, Stefanus Sutanto creators_id: martincooke74@yahoo.com contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_name: Krisnawati, Lucia Dwi contributors_name: Kristanto, Harianto corp_creators: Universitas Kristen Duta Wacana title: PREDICTING STOCK AVAILABILITY AT JAGO MINI MARKET USING MULTIPLE MODELS ispublished: pub subjects: QA75 subjects: ZA divisions: tek_informatika full_text_status: restricted keywords: holt, winter, stock availability, stock prediction abstract: Inventory management in general and stock availability management in particular hold crucial role maintaining the supply chain in a company. The project explained in this paper concerns mainly with predicting stock availability for an item based on sales data. Three models are used throughout this project to do the prediction calculations. They are Simple Exponential, Holt, and Winter models. The process starts by creating the database as a prediction basis for the models. The next step is to create prediction procedure calculations. The last step is building an user interface to give user ease of use. With the completion of this project, the author wants to implement three methods presented here to create an application that can help people, especially store manager to make decision on stock availability based on prediction result from the application produced. Keywords: holt, winter, stock availability, stock prediction date: 2011-10 date_type: published pages: 72 institution: Universitas Kristen Duta Wacana department: Informatika thesis_type: skripsi thesis_name: other citation: 22064081, Stefanus Sutanto (2011) PREDICTING STOCK AVAILABILITY AT JAGO MINI MARKET USING MULTIPLE MODELS. Final Year Projects (S1) thesis, Universitas Kristen Duta Wacana. document_url: https://katalog.ukdw.ac.id/5371/1/22064081_bab1_bab5_daftarpustaka.pdf document_url: https://katalog.ukdw.ac.id/5371/2/22064081_bab2%20-sd-%20bab4_lampiran.pdf