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All Journal MATRIK: JURNAL MANAJEMEN, STRATEGI BISNIS, DAN KEWIRAUSAHAAN JMPM: Jurnal Matematika dan Pendidikan Matematika
Fastha Aulia Pradhani
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics

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Impact of Tourist Satisfaction Attributes on Behaviour of Sharing Tourism Experiece on Social Media suwitho suwitho; Hindah Mustika; Fastha Aulia Pradhani
Matrik : Jurnal Manajemen, Strategi Bisnis, dan Kewirausahaan Volume 17 Nomor 2 Tahun 2023
Publisher : Faculty of Economics and Business Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MATRIK:JMBK.2023.v17.i02.p05

Abstract

Tourist satisfaction is an emotion that is felt by visitors when they there are in a place, in this case a tourism place. The satisfaction felt by visitors makes certain behaviours, which in this case share information using social media. This objective study is examines and analyzes the predictors of tourist satisfaction and tourist engagement on the behaviour of sharing tourism experience on social media. Methode: quantitative research with analysis technique. Results all variables influence can be acceptable and positive impact. Novelty in this study is the existence of tourist engagement that is able to make something unique because both the visitor and the place visited have an emotional engagement. Implication of results that with social media so we can easy to share experience and for destination as a promotion place, communication with prospective customer and discussion. Keywords: Attraction; Engagement; Satisfaction; Social Media.
Comparison Between Neural Network and Grey System Models for Cooking Oil Price Fastha Aulia Pradhani; Susila, Muktar Redy; Akolo, Ingka Rizkyani
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 10 No 1 (2025): March - August 2025
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v10i1.3395

Abstract

Cooking oil is one of the primary raw materials used in Indonesia. In this study, a comparison of the two forecasting models from the two methods, namely Neural Network and Grey System, was carried out. Forecasting is carried out on cooking oil raw materials, namely CPO production volume and demand for related products, namely biodiesel, to analyze changes in cooking oil prices. The appropriate forecasting model is expected to be able to describe the pattern of cooking oil price fluctuations for the following few periods. The criteria for selecting the best model use the minimum MAPE testing value. The results show that the Grey System method produces the best forecasting model for biodiesel demand data with a small amount of data, while for the CPO variable, which has a larger amount of data, the best model is obtained using the Neural Network model, with the MLP (3-3-1) architecture.
Co-Authors Akolo, Ingka Rizkyani Hindah Mustika Susila, Muktar Redy Suwitho, Suwitho