Simulating seasonal concentration in tourism series

Morales, Antonio

doi:10.1016/j.jhlste.2014.08.001

Cited by 6 publications

(8 citation statements)

References 21 publications

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“…Untuk memasarkan suatu destinasi perlu memahami sifat musiman dari pasar spesifik secara lebih akurat agar dapat menyediakan produk/layanan pariwisata yang sesuai (Choe, Kim, & Joun, 2019). Pemahaman tentang pola musiman dalam pariwisata sangat penting untuk pengelolaan yang efisien dari fasilitas dan infrastruktur pariwisata (Corluka, 2019). Pola musiman menjadi sangat penting bagi pengelola destinasi untuk mengambil keputusan terkait distribusi sumber daya infrastruktur dan sumber daya manusia yang dimiliki (Þórhallsdóttir & Ólafsson, 2017 (Choe et al, 2019;Kastenholz & Almeida, 2015).…”

Section: Pendahuluanunclassified

“…Efek negatifnya adalah destinasi wisata dapat dipenuhi oleh aktivitas dan kegiatan wisatawan selama periode tertentu dan juga memungkinkan tidak ada sama sekali kegiatan wisatawan di periode yang lain dalam satu tahun yang sama. Artinya, pada suatu waktu, jumlah wisatawan atau pengunjung di suatu daerah dapat lebih banyak daripada yang mampu diakomodasi oleh daerah tersebut (Corluka, 2019). Oleh karena itu, diperlukan solusi untuk mengendalikan jumlah wisatawan dan mendistribusikannya dengan harapan dapat mengurangi keramaian yang terjadi (Jin, Hu, & Kavan, 2016).…”

Section: Pendahuluanunclassified

“…Penelitian lebih lanjut dari pola musiman diperlukan untuk memastikan pemahaman yang lebih baik terhadap fenomena penyebab musiman, kuantifikasi implikasi, serta strategi (Corluka, 2019). Penulis menyadari bahwa kajian ini memiliki keterbatasan sehingga perlu kajian lain yang mampu memperkaya hasil kajian ini.…”

Section: Simpulanunclassified

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Pola Musiman Kunjungan Wisatawan Mancanegara Ke Bali

Maulana

Koesfardani

2021

jki

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The seasonal pattern of tourist arrivals is an important element that must be observed in making policies in the field of tourism marketing. By using the method of calculation, the Seasonality Ratio, Gini Coefficients, and Seasonality Index, this study aims to identify seasonal patterns of foreign tourist arrivals to Bali during the past 5 years. This study shows that: First, foreign tourists’ arrivals to Bali showed insignificant levels of variation and an equation of seasonal variations patterns is found in 2015, 2016, and 2019. Second, foreign tourist arrivals to Bali had a distribution per month that is relatively evenly distributed, with low seasonal rates, or the difference between monthly arrivals has an insignificant difference in value. Third, peak season of foreign tourists’ arrivals to Bali was concentrated in July with a drastic increase from the previous month and accompanied by a slowing decline towards the off-peak season. So, it is necessary to do an appropriate marketing and resource allocation strategies to optimize each seasonal phase.

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Section: Pendahuluanunclassified

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Pola Musiman Kunjungan Wisatawan Mancanegara Ke Bali

Maulana

Koesfardani

2021

jki

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“…To make this simulator a highly useful instrument, several activities were designed that can be solved or explained using the simulator, in the same line as [20], [18]. The activities were contextualized in the field of insurance to enhance students' motivation.…”

Section: B the Graphical Simulatormentioning

confidence: 99%

“…Built on the author's experience in designing interactive simulations for actuarial education [16], [17] and tourism studies [18], an interactive graphical simulator was designed to study the properties of discrete-time Markov chains in the field of insurance. According to these previous experiences, the simulator is fully contextualized for its application in insurance, focusing on the demands of these students.…”

Section: Introductionmentioning

confidence: 99%

Application of a Discrete-time Markov Chain Simulation in Insurance

Morales

2015

Int. J. Recent Contrib. Eng. Sci. IT

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Abstract-This paper describes the application of an online interactive simulator of discrete-time Markov chains to an automobile insurance model. Based on the D3.js library, an interactive visual animation depicts the dynamics of individual policyholders in a bonus-malus system of automobile insurance. A survey was conducted among MSc students who used the simulator to obtain a preliminary assessment of the perceived usefulness in several dimensions of their learning process. The main findings indicate that flexible access via different devices was the most valued feature of this resource. In addition, the possibility of experimenting and simulating by means of controlling the main parameter of the model was also found to be particularly useful.

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The path to resilience in sport event tourism: South African stakeholder responses to a crisis

Daniels,

Tichaawa

2024

Development Southern Africa

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Simulating seasonal concentration in tourism series

Cited by 6 publications

References 21 publications

Pola Musiman Kunjungan Wisatawan Mancanegara Ke Bali

Pola Musiman Kunjungan Wisatawan Mancanegara Ke Bali

Application of a Discrete-time Markov Chain Simulation in Insurance

The path to resilience in sport event tourism: South African stakeholder responses to a crisis

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