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Jaringan Saraf Tiruan Backpropagation untuk Prediksi Harga Bahan Pangan di Wilayah Kabupaten Deli Serdang Putri Dewita Sari; Faiz Ahyaningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.287

Abstract

Foodstuffs are raw materials in the form of agricultural, vegetable and animal products that are used by the food processing industry to produce a food product. Food ingredients consist of plant foods and animal foods. Food is the most basic need for human resources in a country. Food prices sometimes experience erratic increases or decreases. The aim of this research is to determine the results of food price predictions in the Deli Serdang Regency area using the Backpropagation algorithm. The data used in this research is food price data from 2020 to 2023 which comes from the official National Food Ingredients website. This research uses the Backpropagation algorithm artificial neural network method which uses several architectural models and the results of this test will produce the best accuracy values. The test results show that the best architecture for research on implementing the backpropagation algorithm in predicting food prices in Deli Serdang Regency is 2-10-1 with an accuracy of 87.5% and the 2-3-8-1 architecture with an accuracy of 87.5%.
Pengaruh Brand Ambassador Terhadap Keputusan Pembelian Produk Hand and Body Lotion Vaseline Dengan Brand Image Sebagai Variabel Intervening (Studi Kasus Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Dharma Andalas) Putri Dewita Sari; Yesi Elsandra
Journal of Business Economics and Management | E-ISSN : 3063-8968 Vol. 1 No. 3 (2025): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

This study aims to determine the effect of brand ambassadors on purchasing decisions for Vaseline hand and body lotion products with brand image as an intervening variable. This study uses a quantitative research method with a population of students from the Faculty of Economics and Business, Dharma Andalas University. The sample was determined by the non-probability sampling method using a purposive sampling technique with a sample size of 92 respondents. Data were analyzed using SmartPLS version 4 software with Structural Equation Model (SEM) modeling. The results showed that brand ambassadors had a positive and significant effect on brand image. In addition, brand ambassadors also had a positive and significant effect on purchasing decisions. Brand image itself has been shown to have a positive and significant effect on purchasing decisions, and brand ambassadors also influence purchasing decisions through brand image as an intervening variable. This shows that brand image has an important role in strengthening the relationship between brand ambassadors and purchasing decisions for Vaseline hand and body lotion products.