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All Journal AGRITROPICA : Journal of Agricultural Sciences Jurnal Perikanan
Rahmi Yuristia
University of Bengkulu
Agriculture, Biological Sciences & Forestry

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The Best Forecasting Model For Cassava Price Rahmi Yuristia; Dodi Apriyanto; Ketut Sukiyono
AGRITROPICA : Journal of Agricultural Sciences Vol 2, No 2 (2019)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/j.agritropica.2.2.86-92

Abstract

This study aims to analyze and select the most accurate forecasting for predicting cassava prices in Indonesia. The data used is monthly data during the period of 2009 to 2017. This predicting uses the forecasting model, such as Moving Average, Exponential Smoothing, and Decomposition. Selecting the models found by comparing the smallest values of MAPE, MAD, and MSD. Therefore, it concluded that the Moving Average model is the most appropriate to Forecasting the price of cassava. Keywords : Selection, Forecasting model, cassava, prices
THE INFLUENCE OF MARKETING MIX ON PURCHASING DECISIONS FOR GROUND MACKEREL AT UMKM EVI TENGGIRI Lilis Suriani Sianturi; Rahmi Yuristia; Indra Cahyadinata; Heny Sulistyawati Purwaning Rahayu; Reswita Reswita
Vol 15 No 2 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i2.1455

Abstract

Bengkulu City has abundant fishery resources, with total fishery yields reaching 32,757 tons. UMKM play an important role in local economic growth, one of which is Evi Tenggiri UMKM, which focuses on ground fish products. Problems in UMKM, such as the unknown influence of marketing to support the success of UMKM. This study aims to analyze the effect of the 4P marketing mix on purchasing decisions for ground mackerel at Evi Tenggiri UMKM. The research location was chosen purposively. Data was obtained from consumers who had bought ground mackerel, with a total sample of 96 respondents determined using the Lemeshow technique. The analysis was carried out descriptively quantitatively with multiple linear regression to measure the effect of the independent variable on the dependent variable. In addition, classical assumption tests such as normality, multicollinearity, heteroscedasticity, and hypothesis testing were carried out to ensure the validity of the model. The F test results obtained that the product, price, place, and promotion variables simultaneously affect purchasing decisions. The t test results for product and price variables show an influence on purchasing decisions. The t test results for the place and promotion variables have no effect on purchasing decisions.
Co-Authors Dodi Apriyanto Heny Sulistyawati Purwaning Rahayu Indra Cahyadinata Ketut Sukiyono Lilis Suriani Sianturi Reswita Reswita