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All Journal KLIK: Kajian Ilmiah Informatika dan Komputer
Muhammad Mahendra
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT

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Akurasi Prediksi Ekspor Tanaman Obat, Aromatik dan Rempah-Rempah Menggunakan Machine Learning Muhammad Mahendra; Roy Chandra Telaumbanua; Anjar Wanto; Agus Perdana Windarto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 6 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i6.402

Abstract

Spices are parts of plants that have a strong aroma and are used in small amounts in foods as flavours, preservatives, and food coloring. Spices are usually used as medicines, natural dyes, and spices. As a kitchen spice, spices have a variety of types, but have almost the same shape and color. In this study, the Machine Learning algorithm was tested which is one of the Artificial Neural Network methods that is often used to predict data. The research data used are export data of medicinal, aromatic and spice plants in 2012-2020. Based on this data, a network architecture model will be determined, including 3-10-1, 3-15-1, 3-20-1, 3-25-1. From the five models, training and testing were carried out first and then obtained the results that the best architectural model was 3-10-1 with 0.01929300. So it can be concluded that the model can be used to predict the export data of medicinal, aromatic and spice plants
Co-Authors Agus Perdana Windarto Roy Chandra Telaumbanua Wanto, Anjar