Perception of Country Tourism on Tourism Quality in Lake Toba North Sumatera 2020

Tourism is an industrial sector which is currently got a lot of attention from many countries in the world. The tourism sector is believed to have the ability to increase economic growth (Maciej Debski 2013). Moreover, the tourism sector is positively encouraged to be able to replace the oil and gas sector which has been the main capital in the country’s foreign exchange earnings (Siswanto 2007). The advantage of the tourism sector lies in its ability to increase foreign exchange and to drive various other business sectors such as the home industry. Thus, developed countries and developing countries continue to develop and improve the quality of their country's tourism (Amin et al, 2019). Tourism is one of the determinants of national economic growth because it can influence the growth of other sectors in the economy (Gokovali & Bahar, 2006) and also grows very fast during this decade (Dogru & Bulut, 2018; Wu et al., 2000). Sustainable tourism development can be completed by creating opportunities through networking and cooperation with service providers, where stakeholder engagement, the development of locally oriented codes of conduct, and local government participation are crucial factors for sustainable tourism success (Welford & Ytterhus in Nurlina, 2020). The tourism industry as a foreign exchange earner for the non-oil and gas sector in Indonesia has contributed the US $ 16,426 billion in 2018 or around 200 trillion rupiah so that the Indonesian government is very serious about working on tourism as a core industry, Abstract

including an increase in government activity which has a positive effect on the tourism industry in America (2014). The World Travel & Tourism Council announced in 2019 that Indonesian tourism is the fastest growing industry, which is ranked 9th in the world, number three in Asia, and number one in the Southeast Asia region, also included in The Top 20 Fastest-Growing Travel Destinations according to the British newspaper The Telegraph (Fahlevi, 2018).
North Sumatra Province is one of the government's priorities in the tourism sector, measured from the construction of Sisingamangaraja XII International Airport in Silangit, the establishment of the National Tourism Strategic Area (KSPN) Super Priority for Lake Toba with a budget of up to 1.5 trillion rupiahs, the proposal of Lake Toba to UNESCO as a Global Geopark, Ya'ahowu Nias Festival 2019, the title of Malay Allied, and others. All these development activities lead us to one question: whether all tourism development, financial support, the establishment of an authorized body, and the legitimacy of UNESCO have an impact on quality tourism in North Sumatra, the Government of Indonesia (2021). This is necessary considering the current Ministry of Tourism has made significant reforms, namely changing its focus from quantity tourism to quality tourism. According to Gilmore (2017), Khuong (2017), and Foris et al., (2018), the quality of tourism is defined by the characteristics of tourism services, tourism service products, and the unique features provided and displayed by a tourist area. These indicators are measured in organized tours, tourist activities, tourist facilities, and tourist services provided by stakeholders to tourists visiting the locations they visit.
The tourism quality standards set by the Government of Indonesia are 1) foreign exchange and tourism added value; 2) readiness of destinations, industry, and society; 3) human resource capacity; 4) environmental carrying capacity; 5) competitive image of the archipelago tourism. Also considering that 2020 is the movement of the industrial revolution 4.0 which certainly greatly affects tourist behavior, generally tourists want ease and speed in accessing information and services. These tourists are then referred to as millennial tourists, with their mobile, personal, and interactive characteristics (Sinulingga, 2020).
Data on the level of foreign tourist visits 244,530 people who enter through the airport at Kuala Namu Airport in 2019 (www.bps.go.id) and the target of achieving 20 million foreign tourist visits, are opportunities for improving tourism quality. Based on this background, this research will complete previous research on Persepsi International Tourists against the Quality of North Sumatra Tourism in 2005.

II. Research Methods
The research method used in this research is quantitative data research. According to Sugiyono (2012: 13): "Quantitative data is a characteristic of a variable whose values are expressed in numerical form." by using simple linear regression analysis techniques. In this study, only one variable was used, namely the perception of foreign tourists on the quality of tourism in North Sumatra in 2020.
Initial research was carried out by collecting material from various sources after going through problem identification. The sources used are books, journals, documents, and the distribution of questionnaires or questionnaires. In this study, the researchers distributed questionnaires using online tools (Google form and email) to 100 who were registered as International Tourists who were clients of ASITA North Sumatra member tourism businesses. Make use of online tools sent to foreign tourists who have visited North Sumatra. Furthermore, the data is processed, to obtain facts and answers to the formulation of problems in the field.  Based on the table above, it can be seen that of the 100 respondents, 39 (39%) answered that the quality of tourist attractions that can be seen is good. This can be seen based on the value given is 4, which means that it is almost close to 5 (very good). Furthermore, it can be included in the category with moderate answers as many as 35 people (35%). Very good as many as 12 people (12%), close to very bad as many as 11 people (11%), and answered Very Bad as many as 3 people (3%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that from 100 respondents, 44 people (44%) answered that the quality of tourist attractions that can be done is quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, 28 people (28%) answered well. Meanwhile, approaching very bad was 16 people (16%), very good as many as 11 people (11%), and answered very bad as many as 1 person (1%). Based on the table above, it can be seen that of the 100 respondents, 39 people (39%) answered that the quality of natural tourist attractions was good. This can be seen based on the value given is 4, which means that it is almost close to 5 (very good). Furthermore, it can be included in the category with moderate answers as many as 26 people (26%). Very good as many as 26 people (26%), close to very bad as many as 9 people (9%), and answered Very Bad as many as 0 people (0%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that of the 100 respondents involved in this study, 34 people (34%) answered that the quality of cultural tourism activities was good. This can be seen based on the value given is 4, which means that it is almost close to 5 (very good). Furthermore, it can be included in the category with moderate answers as many as 30 people (30%). While 18 people were very good (18%), approached very badly as many as 16 people (16%), and answered Very Bad as many as 2 people (2%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that of the 100 respondents, 50 people (50%) answered that the quality of man-made tourist attractions is quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, 21 people (21%) answered well. Meanwhile, approaching very bad was 17 people (17%), very good as many as 11 people (11%), and answered very bad as many as 3 people (3%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that of the 100 respondents, 37 people (37%) answered that the quality of basic needs facilities (toilets, telecommunications, electricity, and the like) was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, it can be included in the category that answers very badly as many as 27 people (27%). Meanwhile, close to very good as many as 20 people (20%), very good as many as 9 people (9%), and very bad answer as many as 7 people (7%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that from 100 respondents, 54 people (54%) answered that the quality of transportation facilities (road access and mobility) was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, 21 people (21%) answered well. Meanwhile, there were 14 people (14%) close to very bad, 8 people (8%) very good, and 3 people answered very bad (3%).  Based on the table above, it can be seen that of the 100 respondents, as many as 48 people (48%) answered that the quality of hospitality facilities (accommodation, restaurants, and the like) was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, it can be included in the category that answered well as many as 35 people (35%). Meanwhile, 9 people were very good (9%), close to very bad as many as 5 people (5%), and answered very bad as many as 3 people (3%). Based on the table above, it can be seen that from 100 respondents, 46 people (46%) answered that the quality of human resources (HR) was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, it can be included in the category that answers close to very good as many as 33 people (33%). Meanwhile, close to very bad as many as 14 people (14%), Very good as many as 7 people (7%), and answered Very Bad as many as 0 people (0%).

Source: Data processed using SPSS Version 25
Based on the table above, it can be seen that of the 100 respondents, 47 (47%) answered that the quality of the human resources (HR) of the community around the tourist location was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, 25 people (25%) answered very badly. Meanwhile, close to very good as many as 21 people (21%), very good as many as 4 people (4%), and very bad answer as many as 3 people (3%). Based on the table above, it can be seen that from 100 respondents, 41 people (41%) answered that the quality of tourism information center services was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, it can be included in the category that answers close to very good as many as 30 people (30%). Meanwhile, as many as 14 people (14%) were very bad, close to very bad as many as 12 people (12%), and answered Very Good as many as 3 people (3%).  Based on the table above, it can be seen that of the 100 respondents, 33 people (33%) answered that the quality of tourism information center services was quite good or moderate. This can be seen based on the value given is 3, which means that it is almost close to 4 (good). Furthermore, it can be included in the category that answers nearly very well as many as 33 people (33%). Meanwhile, there were 17 people (17%) close to very bad, 9 people (9%) very bad, and 8 people answered Very Well (8%).

a. Validity Test
Based on the Sig. (2-tailed) <0, 05 (less than 0.05) and Pearson Correlation is positive. The value of the r count is 0.728. This shows that the data used is valid and can be trusted. However, to maximize the validity of the data, the following r table will also be used. The result is 0.677, where the t table result is smaller (<) than the t count, which is 0.728. By the results of the validity test, it was found; If the value of r count> r table, then the item in the questionnaire is declared valid. Through the results of the reliability test analysis, it was found that the Cronbach Alpha was 0.931> 0.6. This shows that the data contained in the research are reliable, that is, they can be trusted.

IV. Conclusion
The conclusions of this study are as follows: 1. Based on the Sig. (2-tailed) <0.05 (less than 0.05) and the Pearson Correlation is positive.
The value of the r count is 0.728. This shows that the data used is valid and can be trusted. However, to maximize the validity of the data, the following r table will also be used. 2. Based on the t table, the result is 0.677, where the t table result is smaller (<) than the t count, which is 0.728. By the withdrawal of the validity test results, it is found; If the value of r count> r table, then the item in the questionnaire is declared valid 3. Through the results of the reliability test analysis, it was found that the Cronbach Alpha was 0.931> 0.6. This shows that the data contained in the research are reliable, that is, they can be trusted. 4. Based on N of items (the number of question items as many as 12 questions with a Cronbach's Alpha value of 0.931> 0.60, as the basis for decision making in the reliability test, it can be concluded that the 12 question items are reliable or consistent. As for each item of questions, which are known to N of items (the number of questions is 12 questions with a Cronbach's Alpha value of 0.931> 0.60, it can be concluded that the 12 question items are reliable or consistent.

Suggestion
The suggestions for this research are 1. You should the tourism industry is a significant foreign exchange earner for the non-oil and gas sector in Indonesia, the government should pay more attention to its development. Not only for tourists who come to visit but also for foreign tourists themselves. 2. Improving the quality of tourism in North Sumatra can be done by involving various tourism stakeholders who have been at the forefront of the tourism industry in North Sumatra.