Abstrak— Rentang nilai yang tidak seimbang pada setiap atribut dapat mempengaruhi kualitas hasil data mining. Untuk itu diperlukan adanya praproses data. Praproses ini diharapkan dapat meningkatkatkan keakuratan hasil dari pengklasifikasian dataset wine. Metode praproses yang digunakan adalah transformasi data dengan normalisasi. Ada tiga cara yang dilakukan dalam transformasi data dengan normalisasi, yaitu min-max normalization, z-score normalization, dan decimal scaling. Data yang telah diproses dari setiap metode normalisasi akan dibandingan untuk melihat hasil akurasi terbaik klasifikasi dengan menggunakan algoritama K-NN. K yang digunakan dalam perbandingan adalah 1, 3, 5, 7, 9, 11. Sebelum dilakukan pengklasifikasian dataset wine yang telah dinormalisasi dibagi menjadi data uji dan data latih dengan k-fold cross validation. Pembagian data menggunakan k sama dengan 10. Hasil pengujian klasifikasi dengan algoritma K-NN menunjukkan, bahwa akurasi terbaik terletak pada dataset wine yang telah dinormalisasi menggunakan metode min-max normalization dengan K = 1 sebesar 65,92%. Rata-rata yang diperoleh, yaitu 59,68%. Keywords— Normalisasi, K-fold cross validation, K-NN
This study aims to present explicit findings from an internal perspective, namely the interaction patterns of marketing communication between pentahelix elements and testing the expectations of tourists towards tourism activities through a simulation model between variables. This study is divided into two methods of analysis, namely qualitative explorative, where the study aims to invest in communication patterns and patterns of interaction between pentahelix stakeholders in Sitiwinangun Tourism Village, West Java, Indonesia with involve 17 informants who came from pentahelix elements (Government, academics, community, business and media). Second, quantitative method to measure the extent of effectiveness rather than collaboration activities and the role of marketing communication to tourist satisfaction is done by an analytical approach involving 30 tourists through customer satisfaction surveys. The results of this study illustrate that the involvement of each pentahelix element has not been maximized. The pattern of interaction and communication between elements also shows the gap between interests, expectations, and reality. This study provides a real picture that to realize a tourism program that is profitable, holistic, and sustainable requires collaboration that is wrapped with transparent and interactive communication patterns. The marketing communication concept approach combined with collaboration theory between stakeholders can be useful for sustainable tourism.
Objectively this study can be a critical review for the government or the stakeholders in the tourism industry to synergize with each other to realize the concept of Penta helix to be more productive and produce a conceptual model that can be empirically tested further. The research approach is to choose a qualitative explorative method that starts from the interview, discussion, and observation process involving informants representing each element of Penta helix. The study results indicate that Penta helix elements as stakeholders carry out activities and programs that consist of planning, implementation, and evaluation processes based on their respective capacities. Apart from that, the communication relationships between Penta helix elements have not shown an interactive and complicated relationship. The lack of communication is because of differences in perspective and the lack of coordination and collaboration between Penta helix parts. Exclusively the development of the Penta helix model is explained clearly in the discussion.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.