A decision tree algorithm for predicting amount of batik tulis lasem production by decision support system to support financial feasibility
| Main Authors: | Khotimah, Tutik, Nindyasari, Ratih, Ermawati, Nanik |
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| Format: | Article PeerReviewed Image application/pdf |
| Bahasa: | eng |
| Terbitan: |
Universitas Surabaya
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umk.ac.id/11801/1/Cover.jpg http://eprints.umk.ac.id/11801/2/Preface%20and%20Committee.pdf http://eprints.umk.ac.id/11801/3/Paper%20D21.pdf http://eprints.umk.ac.id/11801/ |
Daftar Isi:
- Decision Support System for financial feasibility of the Batik Tulis Lasem Industry can process input data based-on Assumptions Value, Investment Costs, and Operational Costs into output in the form of recapitulation of Fund Sources, Projection of Profit a nd Loss and Projections of Cash Flows and value determinants of business feasibility such as: Net Present Value (NPV), Internal Rate of Return (IRR), and PayBack Period (PP). By this application, the researchers did a simulation asumtion value of Batik Tulis Lasem amount production. It was used 9 categories of Batik Tulis Lasem products, such as: Batik 1 Color Cheap, Batik 1 Color Medium, Batik 1 Color Expensive, Batik 2 Colors Cheap, Batik 2 Colors Medium, Batik 2 Colors Expensive, Batik 3 Colors Cheap, Batik 3 Colors Medium, and Batik 3 Colors Expensive. Simulation results are used as data in this study. The purpose of this study is to classify financial feasibility based-on the number of products produced. The algorithm used is Decision Tree. The data used is 100 records. Rule generated from the Decision Tree algorithm has an accuracy value of 95%. From the resulting the Decision Tree, there are 3 important rules can be taken in determining the amount of production.