In the era of industrial revolution 4.0, artificial intelligence has became a driver in the high technology sustainability. It is important to acceleration of development planning and decision making for stakeholder based on region zone, point of society and distribution an object with system coordinates. The linkage of information and communications technology (ICT) with spatial data, located in the use of data sharing technology, architecture and data dissemination. The availability of spatial data is increasingly numerous and varied requires a high computing technology that users can access and use spatial data from various sources of spatial data providers. Therefore, the Spatial Data Infrastructure (SDI) was built to facilitate access and exchange of spatial data from various sources of spatial data providers, both government and private, which doing an important role in conducted system and platform interoperability as spatial services. The government of Indonesia has made regulation for national spatial data infrastructure (NSDI) in Law Of Presidential Number is 27 of 2014 and and strengthened by onemap policy. The advantages using geospatial artificial intelligence (GeoAI) can reduce duplication and analysis spatial processing of big data spatial. The systematic literature review process contain of regulation, method for harvesting spatial data in SDI and several GeoAI model research from 2016 to this year. The conclusion in this paper is find possibility ellaborate the artificial intelligence technology with spatial data infrastructure development from past studies in other country.

Spatial Data Infrastructure Integrated with Geospatial Artificial Intelligence: A Systematic Literature Review

The proliferation of information and communication technology has brought about the widespread adoption of online photo and video sharing platforms in the travel industry. These platforms possess the potential to exert a significant influence on tourists' behaviors, shaping destination popularity and creating new tourist hot spots. Macau, being a special administrative region of China, is a highly desirable destination for mainland Chinese tourists. This study utilizes interviews analysis and thematic analysis to investigate the impact of social media on travel motivations among tourists in Macau. Specifically, the research focuses on Xiaohongshu, a widely utilized social sharing application in mainland China, to explore the underlying factors that influence Macau tourists' selection of tourist activities through this platform. By delving into the determinants of Xiaohongshu usage and uncovering their implications for travel behavior, this study aims to provide a comprehensive understanding of the intricate relationship between social media and tourism among Macau tourists. The research findings hold promise for their potential contributions to the fields of tourism and digital marketing. They offer valuable insights into consumer decision-making behavior in the digital realm and provide practical recommendations for the industry's digital transformation and sustainable growth. 

Exploring the Impact of Social Media on Tourists' Travel Behavior: A Study of Xiaohongshu in Macau

The user interface is an influential element in software applications. A well-designed user interface will potentially increase the usability of software applications. Therefore, user interface designers should deliberate when considering which approach and method to implement for designing user interfaces. Design thinking is currently a widely followed approach in user interface design practices. Hence, this study aimed to explore research trends and current practices of design thinking approach for user interface design. This study employed a systematic literature review following the Kitchenham method. This study found 39 articles deemed relevant to the design thinking approach. In general, our study found five common stages broadly mentioned in the articles, i.e., empathize, define, ideate, prototype, and test. The most widely practiced method during those five stages is interview, user persona, brainstorming, user interface, and usability testing. However, there is no consensus on what kind of stage(s) and which method(s) should be employed when following the design thinking approach for user interface design. Therefore, it will depend on the designer's decision in choosing which stage(s) and their related method(s) will be employed. 

A Systematic Literature Review of Design Thinking Approach for User Interface Design

Landslides hazard is increasing in Pacet District, Mojokerto Regency. The increase of landslides hazard in this area occurs during the rainy season. The topography and physiographic conditions of the area are other factors that trigger the hazards. Detection of hazards can be done using a GIS tool. Currently, the development of GIS technology has made it possible to detect landslide hazards in real-time. Therefore, this research is designed to develop a Web-GIS application to detect the landslide hazards in Pacet District, Mojokerto Regency. The Web-GIS method in this study includes acquisition and gathering data, processing data, analyzing data, and visualizing data. Based on the results of data analysis and visualization in WebGIS, it was found that an area of 4,751.12 Ha (44%) of the Pacet area has a very high landslides hazard. From the Web-GIS analysis, several areas are prone to landslide hazards include DesaKemiri, DesaSajen, DesaPacet, DesaPadusan, DesaClaket, DesaCempokolimo, DesaNogosari, DesaCembor, and Forest Areas. 

Developing a real-time detection and visualization of landslide hazards using web-GIS: A case study in Pacet, Mojokerto, East Java, Indonesia

The coastal environment is very vulnerable to various natural disasters, especially if the coastal environment has been damaged, resulting in a reduction in the environmental carrying capacity. Disasters that generally occur in Indonesia's coastal areas include coastal erosion, tsunamis, floods, rising sea levels, droughts, and landslides. Disasters in coastal areas often cause large losses of life and material. Therefore, it is important to measure the vulnerability of disasters in coastal areas, so that early warning can be given to communities who may be affected by disasters. This research aims to implement a QGIS-based information system that utilizes machine learning techniques to classify disaster vulnerability in coastal areas. This study demonstrates how the ANN (Artificial Neural Network) algorithm can be used to classify the level of vulnerability of the coastal areas. This study uses 5782 points along the coast of the Special Region of Y ogyakarta Province. The ANN method was utilized to classify coastal vulnerability, yielding a remarkable accuracy rate of 97.9%• The resulting system provides a visual representation of the level of coastal vulnerability that is comprehensive, interactive, and understandable for the government, policymakers, and the general public.

A QGIS-based Information System for the Coastal Vulnerability Classification with ANN Method

The availability of updated and easy access to geospatial data and information is the main thing in disaster mitigation and sustainable spatial planning. This needs to be supported by the rapid development of technology in the aspect of spreading data and spatial information via the internet. The Spatial Data Infrastructure (SDI) is realized as an implementation of spatial data distribution. SDI is an integrated mechanism to make it easier for spatial data users to access, search, share, and use spatial data and information. Built upon the background statements, the research does intend to develop a web-app which is functioned as a data repository, viewer, and also simple processing (web GIS). To design and develop a disaster geospatial online application web-app that has an integrated function (repository-web GIS) following the directions and input from user feedback becomes the fold of the research. . The importance of putting the user needs in building a web-app to be used by anyone universally is more realistic and practical. The user interface is very essential in bridging communication between users and web mapping systems. User-centred design (UCD) implemented by gathering input and feedback from users. UCD describes the process of ensuring interface success throughout the design and development of the interface. GeoNode has chosen as the platform since it is open-sourced, and commonly used for managing and publishing geospatial data. Based on respondents' assessment of the quality of content/information that important to be developed in a disaster website, it is recognized that providing reliable and up-to-date data and information (69%) and the accuracy of data and information (74%) are the most important things to develop in the InDITA application. the most important features to respondents are the spatial data display feature/map viewer (89%). The design of InDITA was built interactive and user-friendly which designed as an application that accommodates simple viewer, data repository, and web GIS functions. The interactive design emerged as the demand for app users.

/pdf/design-and-implementation-of-a-user-centered-web-app-using-v2xkt7oh56.pdf

Design and Implementation of a User-Centered Web-App using Open Source Platform: Indonesia Disaster Data (InDITA)

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Design and Implementation of a User-Centered Web-App using Open Source Platform: Indonesia Disaster Data (InDITA)