scholarly journals Ekstraksi Informasi Destinasi Wisata Populer Jawa Timur Menggunakan Depth-First Crawling

2021 ◽  
Vol 21 (1) ◽  
pp. 229-236
Author(s):  
Sepyan Purnama Kristanto ◽  
Lutfi Hakim
Keyword(s):  
Spatial Analysis ◽  
Web Mining ◽  
Recommendation System ◽  
Human Life ◽  
The Internet ◽  
Large Area ◽  
Information Mining ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
The Many

Travel Destinations are an inseparable part of human life today. As one of the provinces with a large area, East Java is one of the most visited areas for its tourism. Many people are competing in finding information related to these tourist destinations on the internet, one of which is the Tripadvisor application. Of the many tourist attractions, several tourist attractions have different attractions and experiences each time. Tourists have widely used the Tripadvisor application in determining the location where they will visit on their vacation activities. With various features ranging from reviews and recommendations for sharing photos, TripAdvisor is one of the best applications in the inventory of tourist attractions. Of the many tourist destinations, it is necessary to analyze and evaluate both tourist attractions that have many visitors with tourist attractions that are rarely visited by both local and foreign visitors. This goal, information mining (web mining), was carried out on the TripAdvisor application to obtain information on East Java Province's popular destinations. Crawling results on the TripAdvisor website, obtained various kinds of information such as names of tourist attractions, locations, visitor reviews, photos, and ratings of these tourist attractions. Spatial Analysis, a Tourist Sentiment Analyst on tourist objects, can then be carried out. It can also be developed into the recommendation system for the best tourist attractions in East Java Province

scholarly journals Re-Design Homestay Lokal Selaras Dengan Industri Pariwisata

2020 ◽  
Vol 2 (2) ◽  
pp. 40-51
Author(s):  
I Made Juniastra
Keyword(s):  
Local Community ◽  
Economic Value ◽  
Large Area ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Natural Beauty ◽  
Foreign Countries ◽  
Service Areas ◽  
The Many ◽  
The Village

For a house that is in a tourism location, the house not only functions as a residence, but also has a high economic value, which can be rented and combined with other businesses so as to maximize profits. Nevertheless, the customs and traditions of Balinese Culture and local wisdom must still be preserved. Sanur Village is one of the tourist destinations in Bali which is very well known to foreign countries with its traditions and natural beauty. Sanur is a tourist area where most of the local people become tourism operators. The houses where people live are traditional and religious places of activity, as well as being a place of business in tourism or supporting tourism facilities. For example, it is used for homestays including supporting facilities, such as restaurants, spas, loundries, bicycles or motorbike rental, and also cooperation as promotion agents for other tourist attractions. For this reason, a planned arrangement is needed in the form of a master plan from the area of the resident's house so that it remains private to be occupied with the family, that is, as a place to live as well as a place to perform traditional ceremonies /events, and also to have privacy for guests who stay overnight. Sanur Homestay is one of the many homestays in Sanur that is owned and managed by the local community. With a fairly large area of land like most house land in the village, the arrangement of the building is still not optimal, where the owner's activity and circulation still mingle with the guests' activities and circulation. Likewise for the standard of accommodation facilities it still needs to be added to maximize services. Planning is done by collecting site and existing buildings data, then grouping which buildings are permanent and which ones are suitable for renovation. Then designed new facilities in the form of buildings for homestays, restaurants, spas, front offices, service areas, and site management in the form of swimming pools and open spaces. The design is carried out with the concept of applying the principles of Traditional Balinese Architecture, namely the application of the Nawa Sanga concept on site zoning and the application of the Tri Angga concept to the appearance figure of the building, which is combined with Modern Tropical Architecture.

DSS for Web Mining Using Recommendation System

2017 ◽  
pp. 22-34 ◽  
Author(s):  
Varaprasad Rao M ◽  
Vishnu Murthy G
Keyword(s):  
Recommender Systems ◽  
Web Mining ◽  
Recommendation System ◽  
User Behavior ◽  
Web Content ◽  
Web Structure ◽  
Web Structure Mining ◽  
Content Mining ◽  
Computer Based ◽  
The Many

Decision Supports Systems (DSS) are computer-based information systems designed to help managers to select one of the many alternative solutions to a problem. A DSS is an interactive computer based information system with an organized collection of models, people, procedures, software, databases, telecommunication, and devices, which helps decision makers to solve unstructured or semi-structured business problems. Web mining is the application of data mining techniques to discover patterns from the World Wide Web. Web mining can be divided into three different types – Web usage mining, Web content mining and Web structure mining. Recommender systems (RS) aim to capture the user behavior by suggesting/recommending users with relevant items or services that they find interesting in. Recommender systems have gained prominence in the field of information technology, e-commerce, etc., by inferring personalized recommendations by effectively pruning from a universal set of choices that directed users to identify content of interest.

The Role of Information Technology in Promotion Strategy. Case in Taman Mini Indonesia Indah and Ragunan, Indonesia

2020 ◽  
Vol 11 (4) ◽  
pp. 960
Author(s):  
Dhian Tyas UNTARI
Keyword(s):  
Information Search ◽  
Quantitative Research ◽  
Capital City ◽  
The Internet ◽  
Promotion Strategy ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Search Patterns ◽  
The Stability

Jakarta is the capital city of Indonesia, one of the leading sectors is tourism. Tourism, which is one of the tertiary sectors, is the largest foreign exchange earner in Jakarta. Two Jakarta tourism icons are Ragunan and Taman Mini Indonesia Indah (TMII). Promotion is needed to maintain the stability of the number of visits in both tourist destinations, especially through the internet. Globalization brings people's behavior to information search patterns through the internet. Here is the problem you want answered; how effective are these two tourist sites on the perceptive perspective of the community. The aim of this study is to analyze the effectiveness of the Taman Mini Indonesia Indah (TMII) and Ragunan tourism Web. This is a quantitative research, using a sample of 165 people taken randomly from leading tourist attractions in DKI Jakarta, namely TMII and Ragunan. Dimensions used in research are empathy, persuasion, impact, and communication.

BUILDING A KNOWLEDGE BASE FOR IMPLEMENTING A WEB-BASED COMPUTERIZED RECOMMENDATION SYSTEM

2007 ◽  
Vol 16 (05) ◽  
pp. 793-828 ◽  
Author(s):  
JUAN D. VELÁSQUEZ ◽  
VASILE PALADE
Keyword(s):  
Knowledge Base ◽  
Web Site ◽  
Web Mining ◽  
Recommendation System ◽  
The Internet ◽  
Web Pages ◽  
Web Based ◽  
Web Logs ◽  
Mining Tools ◽  
The Web

Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particular user represents a key issue for many commercial companies that do their business over the Internet. This paper presents the implementation of a Knowledge Base (KB) for building web-based computerized recommender systems. The Knowledge Base consists of a Pattern Repository that contains patterns extracted from web logs and web pages, by applying various web mining tools, and a Rule Repository containing rules that describe the use of discovered patterns for building navigation or web site modification recommendations. The paper also focuses on testing the effectiveness of the proposed online and offline recommendations. An ample real-world experiment is carried out on a web site of a bank.

scholarly journals DISCOVER POINTS OF INTEREST BASED ON USERS’ INTERNET SEARCHES THROUGH AN ONLINE SHOPPING WEBSITE

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 975-980
Author(s):  
G. Shahriari Mehr ◽  
M. R. Delavar ◽  
C. Claramunt ◽  
B. N. Araabi ◽  
M. R. A. Dehaqani
Keyword(s):  
Spatial Analysis ◽  
Recommendation System ◽  
Online Shopping ◽  
Contextual Information ◽  
Information Source ◽  
Primary Source ◽  
The Internet ◽  
Points Of Interest ◽  
Internet Searches ◽  
The City

Abstract. In recent years, the development of the Internet plays a significant role in human's daily activities. One of the most important effects of the Internet is the change in the process of shopping. The advent of online shopping leads to establish a new channel for customers to obtain information about their desired goods and demands. Although many customers collect information from online channel, they also wish to try and search for their required goods at the stores. Besides, discovering this data leads to a new source for spatial analysis to find the users’ interests. Therefore, we can consider this data as a contextual information source for spatial analysis or primary source for recommending points of interest (POIs). In this research, our aim is to discover a relation among the users' internet searches and the goods at the stores to recommend the best store to the users. Euclidean distance is used to calculate the similarity between users' searches and the available goods at the stores. The proposed method has been implemented in the city of Tehran, capital of Iran. The results show that the users’ internet search behavior plays an essential role in the recommendation system which provides stores to the users based on the similarity among the users’ internet searches and the available goods at the stores.

scholarly journals STRATEGI PELESTARIAN BUDAYA LOKAL SEBAGAI UPAYA PENGEMBANGAN PARIWISATA BUDAYA (SEBAUAH ANALISIS TEORITIS)

2021 ◽  
Vol 4 (1) ◽  
pp. 6
Author(s):  
Desrika Talib ◽  
Sri Sunarti
Keyword(s):  
Literature Review ◽  
Cultural Tourism ◽  
Local Communities ◽  
The Internet ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Strategic Assessment ◽  
Number Of Visits ◽  
Cultural Tourist

This research aims to analyze the strategy of preserving local culture to develop cultural tourism. This study is a form of strategic assessment effort to find solutions in the development of tourist destinations, especially cultural tourism. This study used the literature review method by collecting several references from previous research related to tourism development and preservation strategies. From the results of the analysis, it was found that one form of strategy that needs to be done is a marketing strategy to increase the number of tourist visits by creating a branding of cultural tourist attractions as a quality tourist attraction, maintaining the culture or customs and characteristics of local communities, conducting promotions via the internet or through the internet. brochures to introduce cultural tourist attractions to be better known by tourists, as well as build an image of tourist attractions to fix problems that result in a decreased number of visits

SISTEM REKOMENDASI TEMPAT WISATA MENGGUNAKAN ALGORITMA CHEAPEST INSERTION HEURISTIC DAN NAÏVE BAYES

2022 ◽  
Vol 10 (2) ◽  
pp. 227
Author(s):  
Ida Bagus Gede Dwidasmara ◽  
I Gusti Ngurah Agung Widiaksa Putra ◽  
I Made Widiartha ◽  
I Wayan Santiyasa ◽  
Ida Bagus Made Mahendra ◽  
...  
Keyword(s):  
Recommendation System ◽  
Naive Bayes ◽  
Cultural Tourism ◽  
Naïve Bayes ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Personal Motivation ◽  
Tourism Sector ◽  
Bayes Algorithm ◽  
Insertion Heuristic

Bali is one of the best tourism areas in Indonesia, as evidenced in 2016 Bali received a number of awards on the TripAdvisor Travelers Choice Award in global and Asian scope. However, the Corona virus outbreak from 2019, caused the tourism sector in Bali to decline, thus a solution is needed to restore the tourism sector in Bali, where one solution is to increase cultural tourism to the maximum, as the main attraction of tourist destinations in Bali. Bali. So the author proposes a tourism recommendation system, which aims to recommend tourist attractions that are suitable for tourists, which in this recommendation system is also recommended cultural tourism destinations that are directly recommended by the community, and there is also a mapping of tourist attractions as part of a tourist recommendation system, mapping of tourist attractions public and cultural attractions. In this tourism recommendation system, using the Naïve Bayes Algorithm to recommend general tourist destinations based on the personal motivation of tourists, which is based on the attributes of age, gender, natural interest, artificial interest, cultural interest of tourists, using 200 training data consisting of 14 classes of tourist attractions. . In addition, this tourist recommendation system is equipped with recommendations for routing tourist attractions using the Cheapest Insertion Heuristic Algorithm, to arrange a list of tourist attractions. Keywords: Recommendation System, Naïve Bayes Algorithm, Cheapest Insertion Heuristic Algorithm, Personal Motivation, Place Mapping.

Exploring data mining: facets and emerging trends

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sumeer Gul ◽  
Shohar Bano ◽  
Taseen Shah
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Web Mining ◽  
Human Life ◽  
Educational Data Mining ◽  
Knowledge Discovery In Databases ◽  
Information Mining ◽  
Content Type ◽  
Big Data Mining ◽  
Emerging Trends

Purpose Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an emerging field and manifests itself in the form of different techniques such as information mining; big data mining; big data mining and Internet of Things (IoT); and educational data mining. This paper aims to discuss how these technologies and techniques are used to derive information and, eventually, knowledge from data. Design/methodology/approach An extensive review of literature on data mining and its allied techniques was carried to ascertain the emerging procedures and techniques in the domain of data mining. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored to discover the extent of literature published on Data Mining and its varied facets. Literature was searched against various keywords such as data mining; information mining; big data; big data and IoT; and educational data mining. Further, the works citing the literature on data mining were also explored to visualize a broad gamut of emerging techniques about this growing field. Findings The study validates that knowledge discovery in databases has rendered data mining as an emerging field; the data present in these databases paves the way for data mining techniques and analytics. This paper provides a unique view about the usage of data, and logical patterns derived from it, how new procedures, algorithms and mining techniques are being continuously upgraded for their multipurpose use for the betterment of human life and experiences. Practical implications The paper highlights different aspects of data mining, its different technological approaches, and how these emerging data technologies are used to derive logical insights from data and make data more meaningful. Originality/value The paper tries to highlight the current trends and facets of data mining.

scholarly journals Recommendation System: Techniques and Issues

2019 ◽  
Vol 8 (3) ◽  
pp. 2821-2824
Keyword(s):  
Collaborative Filtering ◽  
Recommender System ◽  
Recommendation System ◽  
Information Overload ◽  
Daily Life ◽  
Hybrid Approach ◽  
The Internet ◽  
Individual Interest ◽  
The Many ◽  
Content Based Filtering

In daily life user searched the many things over the internet on the basis of requirement with the help of search engines. Recommendation systems are widely used on the internet to help the user in discover the products or services that are best with their individual interest. RS effectively reduce the information overload by providing personalized suggestions to user when searching for items like movies, songs, or books etc. The main aim of RS is to help the users by providing the surface of information that relevant to them, fulfill their needs and their task. The paper provides an overview of RS and analyze the different approaches used for develop RS that include collaborative filtering, content-based filtering and hybrid approach of recommender system.

scholarly journals Perancangan Website untuk Desa Mayangan sebagai Media Informasi dan Promosi

2020 ◽  
Vol 27 (2) ◽  
pp. 72-79
Author(s):  
Moch Shulthoni ◽  
Ahmad Roziq ◽  
Nur Hisamuddin ◽  
Lilis Yuliati
Keyword(s):  
Programming Languages ◽  
The Internet ◽  
Tourist Attractions ◽  
Modern Times ◽  
Tourist Destinations ◽  
Continuous Basis ◽  
Tourism Sector ◽  
Using Data ◽  
Village Government ◽  
Government Website

The tourism sector is one of the potential sectors to be developed in modern times, but not all tourist attractions can develop well. One of the factors that cause tourist attractions is the lack of promotion or delivery of information to tourists. The development of the internet is now increasingly advanced so that it is widely used by tourist site managers as a medium of information and promotion. Mayangan Village, Gumukmas District, Jember Regency has the potential to further develop. For this reason, it is necessary to take advantage of the internet by designing the Mayangan village website as a medium for information and promotion. The purpose of this service is to provide knowledge and ability of village officials in managing the Mayangan Village website. The method used is to provide education, training and assistance to create a Mayangan Village Government Website on a continuous basis. The result of this service is designing a website using data collection techniques in the form of interviews, observations, and literature studies. While the software used in designing the Mayangan Village website uses XAMPP, DreamweaverCS 5.5, Adobe Photoshop Photoshop5 and uses programming languages such as HTML, PHP, CSS, Java Script, and JQuery. The implementation of this website is accompanied by blackbox testing. In addition, the website of Mayangan Village, Gumukmas District, Jember Regency was created to inform various natural resources that can be used as tourist destinations. The information presented is expected to make it easier for people to travel. This website is expected to help increase the tourism promotion of Mayangan Village so that it can develop.

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