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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen
Andriyani, Mira
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Economics, Econometrics & Finance Mathematics

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Does experiential marketing alone encourage domestic tourists to revisit? Evidence from a tourist destination in West Java, Indonesia Ratnamiasih, Ina; Wasito, Wasito; Baihaqi, Muhammad Iqbal; Andriyani, Mira
JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen Vol. 21 No. 1 (2024): JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31106/jema.v21i1.21866

Abstract

The sustainable growth of tourist destinations relies heavily on revisit intention. Retaining repeat tourists is not only more economical but also about five times more profitable than attracting new ones. A dominant paradigm in tourist behavior literature shows a sequential relationship among image, quality, satisfaction, and post- behavior. Few studies have examined experiential marketing as a determinant of revisit intention. This study aims to extend the literature by investigating the effects of service quality and experiential marketing on revisit intention, with tourist satisfaction as a mediator. A total of 166 responses from domestic tourists who visited Purwakarta, West Java, Indonesia, were analyzed using PLS-SEM. The results confirmed the positive effects of service quality and experiential marketing on tourist satisfaction. Interestingly, the mediating role of tourist satisfaction was only partial, as the direct relationship between experiential marketing and revisit intention was not supported. Experiential marketing might enhance specific aspects of the tourist experience, providing immediate and short-term positive effects that influence satisfaction directly after the visit. However, overall satisfaction encompasses a broader evaluation of the entire trip, integrating various elements and lasting impressions that collectively drive the intention to revisit.
Empirical Evaluation of Wavelet Filter and Wavelet Decomposition Level on Time Series Forecasting Andriyani, Mira; S., Dewi Retno Sari
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36440

Abstract

Time series forecasting is essential for anticipating future outcomes and supporting decision-making, yet achieving high predictive accuracy remains challenging. Wavelet-based approaches, particularly the Maximal Overlap Discrete Wavelet Transform (MODWT), offer potential improvements, although limited studies have systematically compared wavelet filter types and decomposition levels. This study evaluates several wavelet filters and decomposition levels combined with ARIMA models across six datasets exhibiting varying temporal characteristics. Forecasting accuracy was measured using the Mean Absolute Error (MAE) and Symmetric Mean Absolute Percentage Error (SMAPE). For the datasets analyzed, the Haar filter yielded the lowest MAE and SMAPE values, a result supported by the Kruskal–Wallis test and Dunn's test, which indicated significant differences in accuracy across filters. In contrast, differences in decomposition levels were not statistically significant, suggesting that decomposition level played a limited role in forecasting performance within this dataset context. These findings provide empirical, dataset-specific evidence regarding filter selection in MODWT–ARIMA modeling and highlight the comparatively minor influence of decomposition level on forecasting accuracy.
Co-Authors Baihaqi, Muhammad Iqbal Ina Ratnamiasih S., Dewi Retno Sari Wasito Wasito