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All Journal Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
sinaga, Irene Lestaria
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Jurnal Prediksi Nilai Ekspor Indonesia Menggunakan Metode Artificial Neural Network (ANN) Sinurat, Rahul; Tampubolon, Arion; sinaga, Irene Lestaria; Batubara, Monica Sari; siagian, Novita sari; tatahardinata, jaya
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.807

Abstract

Exports are one of the main indicators of Indonesia's economic growth. To assist in planning and policymaking, accurate prediction techniques are needed because various factors influence export value fluctuations. Using the Artificial Neural Network (ANN) method, this study aims to predict Indonesia's export value. The data used comes from official sources and is processed through preprocessing, normalization, and the division of training and test data. To predict export value, an ANN model is built and trained to recognize patterns of relationships between data. The results show that the ANN method can predict Indonesia's export value with a high degree of accuracy. Therefore, the ANN method can be used as an effective alternative for predicting export value and assisting economic decision-making
Co-Authors Batubara, Monica Sari Jaya Tata Hardinata siagian, Novita sari Sinurat, Rahul Tampubolon, Arion