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All Journal Jurnal Ilmiah Ekonomi Islam Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Nimas Ayu Prabawani
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Mengidentifikasi Faktor-Faktor yang Mempengaruhi Tingkat Kepuasan Wisatawan di Green Gumuk Banyuwangi melalui Pendekatan Customer Index-Satisfaction (CSI) dan Regresi Logistik Ordinal Nimas Ayu Prabawani; Khoirunisa Khoirunisa; Steven Ronis Pangaribuan
Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan Vol. 4 No. 2 (2025): Jurnal Ekonomi, Manajemen Pariwisata Dan Perhotelan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jempper.v4i2.4080

Abstract

The tourism sector is a priority area for both national and regional economic development, as it contributes to increasing regional income. According to the Ministry of Tourism and Creative Economy (2023), Indonesia’s tourism sector contributes more than 4% to the Gross Domestic Product (GDP) and is a development priority based on local advantages. Green Gumuk Candi Banyuwangi is a nature- and education-based tourist destination that has experienced rapid development in recent years. However, it has not been extensively evaluated scientifically in terms of visitor satisfaction. This study aims to measure the level of visitor satisfaction at Green Gumuk Banyuwangi using the Customer Satisfaction Index (CSI) method and to analyze service-related factors that significantly influence satisfaction using ordinal logistic regression. The CSI scores for facility conditions, service quality, and overall visitor satisfaction were 0.82, 0.86, and 0.84, respectively, indicating a very high level of satisfaction. The ordinal logistic regression analysis concluded that service quality significantly influences the level of visitor satisfaction at Green Gumuk Banyuwangi, with a prediction accuracy rate of 94%.
Analyzing National Zakat Trends: Holt–Winters–Based Forecasting to Support BAZNAS Strategic Planning Nazmi Soraya; Nimas Ayu Prabawani
Jurnal Ilmiah Ekonomi Islam Vol. 11 No. 06 (2025): JIEI : Vol. 11, No. 06, 2025
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v11i06.18611

Abstract

Abstract The National Amil Zakat Agency (BAZNAS) is a non-structural government institution mandated to collect, manage, and distribute zakat at the national level in a professional and accountable manner. As the state authority for zakat, BAZNAS plays a strategic role in ensuring the sustainability of welfare programs, making the ability to accurately forecast zakat revenue essential for planning and decision-making. This study analyzes historical patterns and forecasts the zakat revenue of BAZNAS Central for the period 2017–2025 using the multiplicative Holt–Winters method. The data indicate a consistent upward trend and strong seasonal patterns, particularly during religious periods such as Ramadan. The analysis involves identifying level, trend, and seasonal components, followed by estimating smoothing parameters and the damping factor. Two models, additive and multiplicative, were compared using AIC, AICc, and BIC, and the results show that the multiplicative model performs best. Accuracy evaluation using MSE, RMSE, and MAPE confirms that this model produces predictions that closely match the actual values. The 12-month forecast displays consistent seasonal fluctuations, with the peak of zakat collection predicted to occur in March 2026. These findings highlight the importance of incorporating seasonal time-series approaches to support strategic planning and enhance the effectiveness of national zakat management.
Co-Authors Khoirunisa Khoirunisa Nazmi Soraya Steven Ronis Pangaribuan