Search results

This retrospective phenomenological case study examines the experiences of 18 politicians who participated in a political campaign using performing arts and artists in a regional heads and legislators in Indonesia. Also, the role of Gandrung art as a performing art is becoming a political communication tool for political actors in Indonesia.

This study employs a retrospective phenomenological case. The informants recruited were 18 politicians who have local, regional and national political levels. The participants were interviewed about their experiences of campaigning using traditional performing arts as a form of political communication. Data collection techniques used in this study include interviews and photo documentation during the campaign process to triangulate findings.

Based on a case study analysis and through thematic analysis, this research reveals three emerging themes which indicate that performing arts function as political communication tools in three significant ways: (1) as a form of artistic expression for conveying political messages through movement and the use of dancer costumes; (2) as a medium for showcasing cultural identity and representation as a form of concern for the local culture of voters; and (3) as a means to garner mass appeal and propagate political propaganda.

The study has two limitations. First, the study only interviewed a small number of participants. Thus, generalization for wider contexts of politicians is not possible. Second, the study focuses on examining the voice of politicians and analyzing it using thematic analysis.

There is a scarcity of research that specifically focuses on uncovering the perspectives of politicians who employ performing arts as a political communication tool. This study contributes to the understanding that art performance is inherently non-neutral, highlighting how performing arts can actively engage in political communication by conveying messages, shaping cultural identity and influencing public opinion in the context of Indonesia.

The idea of television as a space for cultural and local wisdom has been enthusiastically welcomed by many parties. Regrettably, this expectation proves to be nothing more than an empty hope. Indonesian national television rarely broadcasts content with local cultural nuances. National television broadcast is filled with popular and global cultural content. Only local television tries hard to remain the last guardian of Indonesian culture and local wisdom. Several studies have raised the issue of local television broadcast content but have not succeeded in explaining the dynamics that occur in the management of local television to maintain and inherit local culture. This study aims to fill this gap.

This research was conducted using a qualitative descriptive method with interview techniques as data collection methods.

Indonesian local television continues to struggle to become the guardian for the sustainability of Indonesian local culture by emphasizing its market segmentation and trying to meet their needs, trying hard to implement intensification and extensification strategies, continuing to struggle to balance the onslaught of global culture and relying on government agencies as a nice market. However, the role and support of the government are greatly needed. Without it, local television will surely fall.

This research reflects the dynamics that occur in the management of local television which is very challenging. By revealing the struggles that local television goes through in fortifying local culture and the minimal role of the Indonesian government, this research contributes to the development of sustainable strategies and the inheritance of local culture in this global era.

Depending on the adopted principles of their domestic energy policy, individual countries responded in different ways to the information coming in from Japan. The majority of European countries having atomic power stations recommended inspection of the installations, particularly of those of older types. Discussion concerning the safety of nuclear installations also flared up. Opponents of the atomic power industry and environmentalists, asexpected, pointed to a need to lean energy production toward so-called renewable energy sources. This chapter explores public debate on the planned construction of nuclear power station in Poland in the aftermath of the Chernobyl and Japanese nuclear reactor explosions.

This article discusses issues related to the use of new technologies in local communication on the example of selected Polish cities. It will discuss the tools used by local authorities in the process of local communication with residents and entrepreneurs, aimed at increasing their participation in the local decision-making process. The study will focus on tools for empowering residents and increasing civic participation in cities. Based on an analysis of documents, interviews with representatives of city authorities (officials, councilors) and residents, using the IDI method, an attempt will be made to analyze the effectiveness of particular tools used by officials. On this basis, the authors formulate conclusions and recommendations for the future on the selection of the most effective tools used in local communication with residents. The aim of this paper is not only to diagnose the current use of the smart city concept in Poland, but also to create a forecast of its use in the coming years.

Local cultures under the nation-states have evolved and produced new concepts. Migrations and cultural interactions have also influenced the language. Thus, different conceptualisations of migration have developed in the “Malay World.” Language is not only a product of ecological and geographical environment, but it is also a result of human mobilisations and cultural intercourses. The differences caused by various Malay World conceptualisations are also related to different interactions, histories and social realities. In the “Malay World,” Bahasa Malaysia and Bahasa Indonesia are threatened by English hegemony. At this juncture, demonstrating these interrelationships helps one to understand local cultural intercourses between culture and social reality.

This paper implements the critical discourse analysis, notably, the dialectical–relational approach to different conceptualisations in the “Malay World.” Thus, it aims to discuss the reasons behind the usage of migration-related terms in Indonesia and Malaysia. How migration terms mainly shape social forms, process and circulate in the social world is argued in this paper. The authors target to investigate the local meaning sets for migration concepts and explore self-reflectivity in and critique of the usage of established images between Bahasa Indonesia and Malay concepts, using a Critical Discourse Analysis framework. The discussion section attempts to analyse and explain dialectical relations between social norms and social elements.

Trade diasporas, culture and identities of immigrants, cultural richness and multi-ethnicity have continuously diversified the conceptualisations. These concepts also indicate cultural dominations and exclusions. Thus, the migration dynamics in Southeast Asia might be understood by scrutinising these boundaries and patterns. This study showed that migration conceptualisations in the Malay world are substantially locally determined. Local wisdom and cultural codifications prevail in the migration context. A deeper understanding of the local context is essential in evaluating the international refugee protection mechanisms in these countries as neither Indonesia nor Malaysia are parties to the Geneva Convention Relating to the Status of Refugees.

Definitions of various types of migration are referred to in multiple terminologies throughout the Nusantara. While in Bahasa Melayu, migrant refers to pendatang, nomadic refers to nomad; refugee refers to pelarian, to migrate refers to berhijrah; in Bahasa Indonesia, migrant refers to migran, nomadic or nomad refers pengembara, refugee refers to pengungsi and migrate, or migration refers migrasi. At the same time, in the Nusantara, many communities define themselves according to their geographical features, such as Orang Sungai, Orang Laut or Orang Kuala. In this context, defining leads to a significant impact on shaping the discourses and approaches.

Definitions determine the borders, flexibilities, plausibility and flows of terms. Critical Discourse Analysis especially placed emphasis on languages and their impacts on social reality. According to Critical Discourse Analysis, terms and their genealogies, transformations and limits are vital in order to comprehend social facts and truth. To understand the change and continuity of migration flow in Southeast Asia, scrutinising the migration-related terms is crucial. This study aims to examine those main terms, their connection with other words, and their transformation in the Malay world sociologically. This as such will shed more light on the social changes regarding genealogical relationships and their usage in daily life within the Critical Discourse Analysis.

This study aims to fulfil the gap between authentic concepts of migration literature in Nusantara. Although Bahasa Melayu and Bahasa Indonesia have a strong connection and interaction, migration definitions in these languages are separated from each other. Cultural and social elements greatly influence migration-connected terms in Bahasa Melayu and Bahasa Indonesia. Without this understanding and the absence of local context, any assessment of their refugee protection systems may be incomplete. This study deals with different cultural nuances and refinements and their migration conceptualisations and histories are based on the ground of their social realities.

Discusses the rules and methodology of introducing a new job description for an electronic resources librarian in an academic library in Poland. Indicates that a precise job description and its implementation in a job position linked to the strategic goals of an organisation make the structure clear and, consequently, efficient.

The intent of this paper is to discuss the use of statistical mathematics in property valuation and the wider question concerning the role of mathematics in the field of economics.

This paper reviews the evolution of the application of mathematics, including statistics in economics and drawing conclusions about applicability and effectiveness of quantitative modelling in property valuation.

This paper discusses the future use of statistical models in valuation and the need to recognise the relationships between market participants and the increasingly complex environment, and their impact on value. This would suggest adopting modelling techniques from behavioural economics.

This paper highlights the difference between quantitative and qualitative models and discusses the role that each can play in property valuation.

This paper provides insights on the development of statistical modelling and discusses the application of the same in property valuation.

As the tourism industry becomes more vital for the success of many economies around the world, the importance of technology in tourism grows daily. Alongside increasing tourism importance and popularity, the amount of significant data grows, too. On daily basis, millions of people write their opinions, suggestions and views about accommodation, services, and much more on various websites. Well-processed and filtered data can provide a lot of useful information that can be used for making tourists' experiences much better and help us decide when selecting a hotel or a restaurant. Thus, the purpose of this study is to explore machine and deep learning models for predicting sentiment and rating from tourist reviews.

This paper used machine learning models such as Naïve Bayes, support vector machines (SVM), convolutional neural network (CNN), long short-term memory (LSTM) and bidirectional long short-term memory (BiLSTM) for extracting sentiment and ratings from tourist reviews. These models were trained to classify reviews into positive, negative, or neutral sentiment, and into one to five grades or stars. Data used for training the models were gathered from TripAdvisor, the world's largest travel platform. The models based on multinomial Naïve Bayes (MNB) and SVM were trained using the term frequency-inverse document frequency (TF-IDF) for word representations while deep learning models were trained using global vectors (GloVe) for word representation. The results from testing these models are presented, compared and discussed.

The performance of machine and learning models achieved high accuracy in predicting positive, negative, or neutral sentiments and ratings from tourist reviews. The optimal model architecture for both classification tasks was a deep learning model based on BiLSTM. The study’s results confirmed that deep learning models are more efficient and accurate than machine learning algorithms.

The proposed models allow for forecasting the number of tourist arrivals and expenditure, gaining insights into the tourists' profiles, improving overall customer experience, and upgrading marketing strategies. Different service sectors can use the implemented models to get insights into customer satisfaction with the products and services as well as to predict the opinions given a particular context.

This study developed and compared different machine learning models for classifying customer reviews as positive, negative, or neutral, as well as predicting ratings with one to five stars based on a TripAdvisor hotel reviews dataset that contains 20,491 unique hotel reviews.

The purpose of this study is to investigate the antecedents of behavioral intention to use (BIU) mobile payment in Indonesia by extending unified theory of acceptance and use of technology (UTAUT) with user privacy constructs, namely, perceived security (PS), perceived risk (PR) and trust (Tr).

This is a quantitative research using the covariance-based structural equation modeling method, whereby the researchers conducted an online survey and distributed online questionnaires to users of mobile payment from all over Indonesia to obtain the data. The sample in this study consisted of 358 respondents.

This study found that social influence, facilitating conditions, PS, performance expectancy and Tr have a significant and direct influence on BIU mobile payment. PR was not found to have a significant and direct relationship with BIU, but it was indirectly affecting the latter through Tr as the mediating variable.

The researchers modified UTAUT by incorporating PS, PR and Tr to create a more comprehensive model in predicting mobile payment adoption, especially considering the risky nature of digital transactions in emerging economies like Indonesia. This extended model has never been thoroughly explored in previous studies.