Kajian ini dilakukan untuk melihat potensi pasar wisatawan Tiongkok yang melakukan kunjungan wisata ke mancanegara. Studi ini menganalisis dua aspek penting di dalam pemetaan prospek wisatawan. Pertama, porsi dari perjalanan wisata penduduk keluar negeri yang dapat membantu mengidentifikasi potensi kunjungan wisatawan yang dihasilkan. Kedua, gross domestic product (GDP) per kapita yang merepresentasikan tingkat kesejahteraan penduduk disuatu wilayah dalam hal ini provinsi. Studi ini mencakup 31 provinsi yang terdapat di Tiongkok. Dengan memodifikasi Boston Consulting Group (BCG) Growth-Share Matrix, maka didapat delapan provinsi di Tiongkok yang memiliki prospek pasar paling unggul yaitu: Shanghai, Beijing, Guangdong, Jiangsu, Liaoning, Zhejiang, Shandong dan Hubei. Provinsi-provinsi tersebut umumnya terdapat di wilayah timur Tiongkok. Studi ini memberikan saran pada pemerintah agar lebih intensif untuk melakukan promosi pariwisata Indonesia di kedelapan provinsi tersebut.

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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Dikirim: 01 Oktober 2020 The number of tourist arrivals is one of the main points in assessing the success of the tourism sector. Because of that, the seasonal pattern of tourist arrivals is an important thing that must be observed in making policies in the field of tourism marketing. This study aims to identify the seasonal patterns of tourists so that they can form a strategy for allocating existing resources as well as a marketing strategy to maximize the quality tourist market such as Australia. By using the calculation of Seasonality Ratio, Seasonality Indicator, Gini Coefficients, and Seasonality Index, this study compares the seasonal patterns of Australian tourists arriving in Indonesia with other competing countries, namely Singapore and Thailand. This research has succeeded in identifying that the Seasonality Ratio and Seasonality Indicator values show the pattern of Australian tourists arrives in Indonesia has more fluctuations every month. Despite this, the seasonal level of Australian tourists to Indonesia is low the same as the two other countries. This is seen from the results of the Gini Coefficient calculation in the three countries are below 0.5, or the difference in tourist arrivals per month is not significant. The Seasonality Index indicator shows that January, April, and December are the peak season periods for Australian tourists arriving Singapore and Thailand. However, this is different in Indonesia which is in the off-season phase. Thus, Indonesia has opportunities to optimize Australian tourist arrives in the off-season with the right marketing policies.

Dikirim: 20 Desember 2018 This study is intended to provide an overview of the position of countries in the world based on Gross Travel Propensity (GTP) and the Country Generation Potential Index (CPGI), which are expected to become one of the considerations in determining the potential market for tourism development. This study uses a formula developed by Hurdman. Using this formula, the results as follows: 58 from 89 countries with CPGI of more than 1.0 were obtained, indicating that this country produced more international tourists than expected from their population; Of these 58 countries, 23 countries have higher GTP than their country's population, meaning that these countries have a population with a tendency to travel abroad high, so that it will be very potential to put them as the main market; A total of 17 countries have more than half the GTP population, allowing these countries to be considered as secondary markets; While 18 other countries have GTP less than ½ of the population, so it has a low potential to be considered as a market. This study provides recommendations to the government in determining the country to be a target market for international tourists, from the perspectives aspect of the population and the number of tourist trips abroad produced in the country.