Assistance with human resources in the Garongan Tourism Village.
Despite the abundance of potential tourism-related activities, the management of Garongan Tourism Village still has several flaws. The Yogyakarta AMPTA Tourism College, in partnership with the Ministry of Tourism and Creative Economy/Tourism and Creative Economy Agency, has established the Tourism Village Assistance Program in response to some current issues. The work programs that have been effectively put into practice include: (1) integrated tourist village FGD; (2) integrated tourism product packaging training; (3) integrated tour package sales training; (4) preparation of storytelling and edutrip guides for Garongan tourism village; (5) coaching for the preparation of tour packages; (6) training and coaching on digital tourism village marketing; (7) coaching of tourism village financial management; (8) tourism village scouting training; (9) Digitization of tour packages with audio-visual catalogues; (10) Special culinary training based on processed fish and salak; and (11) Training on making souvenirs with the theme of Garongan tourism village.
This study aims to determine whether the tourist attraction factors which consist of attractions, amenities, and accessibility have an effect on tourist satisfaction at Coffee On The Bus PO. Fortune Transport. The research sample was 50 tourist respondents who visited the Coffee on The Bus. This type of research is a type of quantitative research using multiple linear analysis located in Yogyakarta. The results showed that the three variables simultaneously and significantly affected tourist satisfaction.
Efforts to increase foreign tourists related to tourist attraction need to be interpreted through the attitude of foreign tourists in their perception and expectations of service quality, so that it becomes a more measurable central point when wanting to boost foreign exchange through the tourism service sector. The research that has been done is explorative research with the descriptive quantitative method. The results showed that there were differences in perception and experience of service quality in Borobudur Temple in both groups of tourists
Manually sorting varieties of apples result in high costs, subjectivity, boredom, and inconsistencies associated with humans. A means is needed to distinguish between types of apples and, therefore, some reliable techniques are necessary to identify varieties quickly and without damage. The purpose of conducting research is to investigate the application and performance for Naive Bayes algorithm for apple varieties. This software methodology involves image acquisition, preprocessing, segmentation and analysis classification varieties for apple. The prototype of Apple's classification system was built using the MATLAB R2017 development platform environment. The results in this study indicate that the estimated average accuracy, sensitivity, precision, and specificity are 81%, 73%, 100%, and 70%, respectively. MLP-Neural shows that performance of the Naive Bayes technique is consistent with Principal, Fuzzy Logic, and Neural analysis with 89%, 91%, 87%, and 82% respectively in terms of accuracy. This study shows that Naif Bayes has excellent potential for identifying nondestructive and accurate apple varieties.
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