A decision tree algorithm for predicting amount of batik tulis lasem production by decision support system to support financial feasibility

Khotimah, Tutik dan Nindyasari, Ratih dan Ermawati, Nanik (2019) A decision tree algorithm for predicting amount of batik tulis lasem production by decision support system to support financial feasibility. inCITE 2019.

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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.

Tipe dokumen: Artikel
Subjects: Teknologi > T1 Teknologi (Umum) > Sistem Informasi Manajemen
Teknologi > T1 Teknologi (Umum)
Divisions: Fakultas Ekonomi > Akuntansi (S1)
Fakultas Teknik > S1 Sistem Informasi
Fakultas Teknik > S1 Teknik Informatika
Depositing User: Mr Firman Al Mubaroq
Tanggal Deposit: 19 Oct 2019 01:19
Last Modified: 19 Oct 2019 01:19
URI: http://eprints.umk.ac.id/id/eprint/11801

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