scholarly journals Thematic Analysis on COVID-19 Photojournalism in Indonesia

Komunikator ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 112-124
Author(s):  
Radityo Widiatmojo ◽  
Moch Nasvian Fuad
Keyword(s):  
Thematic Analysis ◽  
Real World ◽  
Qualitative Approach ◽  
Data Set ◽  
The Real ◽  
News Agency ◽  
Extensive Data ◽  
Image Format

The spread of COVID-19 in Indonesia is massive in terms of sufferers. This article aims to seek how national photo news agency ANTARA visualized the pandemic as part of contribution to COVID-19 research in the communication field. By utilizing thematic analysis and qualitative approach, the researchers want to identify, analyze, organize, describe, and report particular themes within an extensive data set of 466 photojournalism. The photos collected from www.antarafoto.com, start from 1 May until 12 May 2020. The finding shows that ANTARA visualized the current Indonesian condition of facing COVID-19 in 8 main themes, determined the countless efforts of ANTARA photojournalists working with a new protocol, and simultaneously also face the new resistance from society. The most popular theme produced by ANTARA photojournalists is economics (183 photos), Social (164), and health (80). Discussion on the most popular is divided into specific topics, namely location, subject’s gender, photographic approach, image format, and news photo category. By utilizing visual ethics on the field, photojournalists communicate the symbols and reality of the real world into a frame to change people’s views about COVID-19 amid the increasingly uncontrolled infodemic flow. 

scholarly journals KEBIJAKAN TATA RUANG DI KABUPATEN KUTAI KARTANEGARA (STUDI VALORISASI RUANG)

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Rahayu Subekti ◽  
Lego Karjoko ◽  
Wida Astuti
Keyword(s):  
Land Use ◽  
Empirical Research ◽  
Real World ◽  
Spatial Layout ◽  
Qualitative Approach ◽  
Research Approach ◽  
Local Regulation ◽  
The Real ◽  
East Kalimantan ◽  
The Government

<p align="center"><strong>Abstract</strong></p><p><em>The objective of research was to find out the existing condition of spatial layout the Kutai Kartanegara Regency’s Government used and to find out the policy of Kutai Kartanegara Regency’s Government in spatial layout. In this research, Empirical research on Law (ELr) was used. ELr seeks to understand and explain how law works in the real world. This study was a descriptive developmental one providing a systematical description on the object to be studied, and then a model was developed to address the problems in the field. The research approach used was qualitative approach. The research was taken place in Kutai Kartanegara regency. From the result of research and discussion, two conclusions could be drawn. Firstly, the existing condition of land use in Kutai Kartanegara regency showed the land use for various activities such as: mining, forestry, gardening, and farming. The shift of land function increased over years. Secondly, the government of Kutai Kartanegara regency had developed draft Local regulation of regency about rTrW or Zoning for Kutai Kartanegara regency, but it had not been proposed to the Local Legislative Assembly’s (dprd’s) discussion because there had been no provincial regulation about rTrW or Zoning of East Kalimantan province</em></p><p><strong><em>Key words : </em></strong><em>policy, Special layout, Valorisation</em></p><p align="center"><strong>Abstrak</strong></p><p>Tujuan penelitian adalah untuk mengetahui <em>existing condition tata ruang </em>yang digunakan Kabupaten Kutai Kartanegara, untuk mengetahui kebijakan Pemerintah Kabupaten Kutai Negara dalam penataan ruang. Dalam penelitian ini digunakan metode <em>Empirical research on Law (ELr). ELr seeks to understand and explain how law works in the real world. </em>Adapun sifat penelitiannya deskriptif developmental yang memberikan gambaran secara sistematis terhadap obyek yang akan diteliti, selanjutnya disusun model yang dapat dikembangkan untuk mengatasi problema di lapangan. Pendekatan penelitian menggunakan pendekatan kualitatif. Lokasi penelitian meliputi Kabupaten Kutai Kartanegara. Dari Hasil penelitian dan pembahasan dihasilkan dua kesimpulan, yaitu : pertama, Kondisi existing Penggunaan tanah di Kabupaten Kutai Kartanegara untuk bermacam – macam kegiatan diantaranya yaitu : . Kegiatan  pertambangan  , Kegiatan Kehutanan , Kegiatan Perkebunan, kegiatan pertanian. Terjadi pengalihan fungsi lahan yang meningkat dari tahun ketahun Kedua, Pemerintah Kabupaten Kutai Kartanegara telah membuat Draft Rancangan Peraturan Daerah Kabupaten Tentang RTRW maupun Zonasi Kabupaten Kutai Kertanegara, hanya saja belum bisa diajukan dalam pembahasan dengan DPRD karena Peraturan Daerah Propinsi tentang RTRW maupun zonasi Provinsi Kalimantan Timur belum ada.</p><p><strong>Kata kunci : </strong>Kebijakan, tata ruang, valorisasi</p>

scholarly journals Playful museum design: Bringing the display to reality and bringing the reality to display

2018 ◽  
Vol 197 ◽  
pp. 17005
Author(s):  
Rahmadean A. Purwatiani ◽  
Tutin Aryanti ◽  
Restu Minggra
Keyword(s):  
Real World ◽  
Qualitative Approach ◽  
The Real ◽  
Sources Of Knowledge ◽  
Hands On ◽  
Museum Design

Lots of museums in Indonesia have very low visits. Considering their function as sources of knowledge to accommodate studies, education, and recreation purposes at the same time, museums should be fun and educating. This article aims to explore the concepts of a playful museum design to attract more visitors. The study employed qualitative approach using survey and case study. It proposes the use of the unusual and non-everyday building and spatial forms, the sequential flow, and scale arrangement to animate visitors' emotional tensions through flowing and dynamic circulations, bright and contrast colors, and spatial spontaneity. The museum brings in reality into display to allow visitors' hands-on experience and the display into reality to let visitors capture the feeling of what and how it took place in the real world. The playful design breaks museums' monotonicity.

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure

2002 ◽  
Vol 14 (1) ◽  
pp. 21-41 ◽  
Author(s):  
Marco Saerens ◽  
Patrice Latinne ◽  
Christine Decaestecker
Keyword(s):  
Real World ◽  
Classification Accuracy ◽  
A Priori ◽  
Training Set ◽  
Real World Data ◽  
Data Set ◽  
World Data ◽  
The Real ◽  
Trained Classifier ◽  
A Priori Probability

It sometimes happens (for instance in case control studies) that a classifier is trained on a data set that does not reflect the true a priori probabilities of the target classes on real-world data. This may have a negative effect on the classification accuracy obtained on the real-world data set, especially when the classifier's decisions are based on the a posteriori probabilities of class membership. Indeed, in this case, the trained classifier provides estimates of the a posteriori probabilities that are not valid for this real-world data set (they rely on the a priori probabilities of the training set). Applying the classifier as is (without correcting its outputs with respect to these new conditions) on this new data set may thus be suboptimal. In this note, we present a simple iterative procedure for adjusting the outputs of the trained classifier with respect to these new a priori probabilities without having to refit the model, even when these probabilities are not known in advance. As a by-product, estimates of the new a priori probabilities are also obtained. This iterative algorithm is a straightforward instance of the expectation-maximization (EM) algorithm and is shown to maximize the likelihood of the new data. Thereafter, we discuss a statistical test that can be applied to decide if the a priori class probabilities have changed from the training set to the real-world data. The procedure is illustrated on different classification problems involving a multilayer neural network, and comparisons with a standard procedure for a priori probability estimation are provided. Our original method, based on the EM algorithm, is shown to be superior to the standard one for a priori probability estimation. Experimental results also indicate that the classifier with adjusted outputs always performs better than the original one in terms of classification accuracy, when the a priori probability conditions differ from the training set to the real-world data. The gain in classification accuracy can be significant.

scholarly journals Decrypting the Real Life Escape Room Experience

2019 ◽  
Author(s):  
Lim Qian Pink ◽  
Mohd Ridzuan Darun ◽  
Gusman Nawanir
Keyword(s):  
Thematic Analysis ◽  
Real Life ◽  
Customer Experience ◽  
Qualitative Approach ◽  
The Body ◽  
The Real ◽  
Body Of Knowledge ◽  
Revisit Intention ◽  
Specific Goal ◽  
Inherent Nature

An escape room is a game that requires a group of players to solve a variety of tasks within a given amount of time in order to fulfill a specific goal, typically escaping a locked room. Despite gaining tremendous popularity of the game in Malaysia, there is no study being conducted in this area. Existing customer experience frameworks offer a limited explanation of this rising phenomena due to the unique inherent nature of Escape Room. Towards this end, the present paper aims to identify the key constructs of Malaysian Escape Room customer experience and determinants of the players revisit intention with respect to the Escape Room. The research is conducted on 20 players who have played at least one game in any Escape Room establishment in Malaysia. This study adopts the sequential incident technique, a qualitative approach to unearth the hidden perception of players. Thematic analysis was subsequently used to analyse the data which revealed fifteen determinants of which 9 are related to the model of goal-directed behaviour. Our research contributes to the body of knowledge in mapping customer experience in this fair nascent industry. Insights from this study are aimed at benefiting Malaysian Escape Room business operators in designing and enhancing the customer experience in their escape rooms.

scholarly journals Structured priors in human forecasting

2018 ◽  
Author(s):  
Francisco Quiroga ◽  
Eric Schulz ◽  
Maarten Speekenbrink ◽  
Nigel Harvey
Keyword(s):  
Real World ◽  
Systematic Errors ◽  
Free Form ◽  
Real World Data ◽  
Data Set ◽  
Daily Lives ◽  
Situational Context ◽  
The Real ◽  
Systematic Biases ◽  
How People Learn

AbstractForecasting is an increasingly important part of our daily lives. Many studies on how people produce forecasts frame their behavior as prone to systematic errors. Based on recent evidence on how people learn about functions, we propose that participants’ forecasts are not irrational but rather driven by structured priors, i.e. situationally induced expectations of structure derived from experience with the real world. To test this, we extract participants’ priors over various contexts using a free-form forecasting paradigm. Instead of exhibiting systematic biases, our results show that participants’ priors match well with structure found in real-world data. Moreover, given the same data set, structured priors induce predictably different posterior forecasts depending on the evoked situational context.

scholarly journals A COGNITIVE STYLISTIC STUDY OF SELECTED SKITS ON AFRICAN SOCIAL MEDIA/ UN ESTUDIO COGNITIVO ESTILISTICO DE SKITS SELECCIONADOS EN LAS REDES SOCIALES AFRICANAS

2021 ◽  
pp. 45-57
Author(s):  
Taiwo Oloruntoba-Oju
Keyword(s):  
Social Media ◽  
Real World ◽  
Background Knowledge ◽  
Qualitative Approach ◽  
Redes Sociales ◽  
The Real ◽  
Cognitive Faculty ◽  
Analytical Process ◽  
World Theory ◽  
Faculty Experience

This research aims at examining how the cognitive stylistic model of analysis can be useful in the interpretation of African skits. The analytical process reveals how viewers make interpretive connections between the text-world and the real world, by bringing their experience and background knowledge to interact with the text. Two skits – one Nigerian and one Ghanaian – were purposively retrieved from YouTube for the analysis, using a qualitative approach within the cognitive stylistic framework of Text World Theory. We discovered a congruence of the cognitive faculty, experience, and epistemic perceptions leading to the construction of the discourse worlds of the skits.

scholarly journals Blurring the Boundaries between Real Worlds, Discourse Worlds and Text Worlds

2021 ◽  
Vol 21 ◽  
Author(s):  
Nelly Tincheva
Keyword(s):  
Real World ◽  
Article Title ◽  
Black Widow ◽  
Data Set ◽  
The Real ◽  
Theoretical Premise ◽  
Political Speeches ◽  
The Difference ◽  
World Concept

Blurring the Boundaries between Real Worlds, Discourse Worlds and Text WorldsWhat do the article title ‘Black Widow Breaks Up With Kylo Ren’ and a Twitter message saying ‘The scene in The Departed where Mark Wahlberg shoots Matt Damon is the blueprint for how to handle corrupt cops’ have in common? Clearly, they both combine references to actors and movies, but do they combine them through the same cognitive technique(s)? This paper starts by addressing the question of how these two instances of reference differ. The line of argumentation that is supported suggests that a world-building theory needs to be employed in order to understand the difference. In doing this, the paper aims and contributes to the theoretical advancement of world-building approaches by arguing for the introduction of the concept of ‘Real Worlds’ in research on Text Worlds and Discourse Worlds. Data set sample analyses employing the Real World concept are included to verify the main theoretical premise. The analyzed texts cover traditional genres such as political speeches as well as modern-day, boundary-blurring genres such as Twitter messages. Zacieranie granic między światem rzeczywistym, światem dyskursu i światem tekstu Co mają wspólnego artykuł zatytułowany Czarna wdowa zrywa z Kylo Renem i wiadomość na Twitterze o treści „Scena w The Departed, w której Mark Wahlberg strzela do Matta Damona, jest schematem postępowania ze skorumpowanymi gliniarzami”? Oczywiście oba łączą odniesienia do aktorów i filmów, ale czy łączą je za pomocą tych samych technik poznawczych? Artykuł rozpoczyna się od odpowiedzi na pytanie, czym różnią się te dwa przypadki odniesienia. Wynikiem zaprezentowanej argumentacji jest sugestia, aby w celu zrozumienia różnicy między nimi wyjść od teorii tworzenia światów. Opowiedzenie się za wykorzystaniem koncepcji „świata rzeczywistego” w badaniach nad światem tekstu i światem dyskursu ma na celu rozwój i wzmocnienie teorii tworzenia światów. W weryfikacji podstawowej przesłanki teoretycznej w artykule uwzględniono wyniki analizy próbek ze zbioru danych, w których wykorzystano koncepcję „świata rzeczywistego”. Analizie poddano zarówno teksty reprezentujące tradycyjne gatunki, takie jak przemówienia polityczne, jak również teksty, w których dochodzi do zacierania granic międzygatunkowych, na przykład wiadomości w serwisie społecznościowym Twitter.

scholarly journals Structured priors in human forecasting

2018 ◽  
Author(s):  
Francisco Quiroga ◽  
Eric Schulz ◽  
Maarten Speekenbrink ◽  
Nigel Harvey
Keyword(s):  
Real World ◽  
Systematic Errors ◽  
Free Form ◽  
Real World Data ◽  
Data Set ◽  
Daily Lives ◽  
Situational Context ◽  
The Real ◽  
Systematic Biases ◽  
How People Learn

Forecasting is an increasingly important part of our daily lives. Many studies on how people produce forecasts frame their behavior as prone to systematic errors. Based on recent evidence on how people learn about functions, we propose that participants' forecasts are not irrational but rather driven by structured priors, i.e. situationally induced expectations of structure derived from experience with the real world. To test this, we extract participants' priors over various contexts using a free-form forecasting paradigm. Instead of exhibiting systematic biases, our results show that participants' priors match well with structure found in real-world data. Moreover, given the same data set, structured priors induce predictably different posterior forecasts depending on the evoked situational context.

Identification of critical factors for assessing the quality of restaurants using data mining approaches

2019 ◽  
Vol 37 (6) ◽  
pp. 952-969
Author(s):  
Ahsan Mahmood ◽  
Hikmat Ullah Khan
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Data Set ◽  
Content Type ◽  
The Real ◽  
Learning Techniques ◽  
Inspection Data

Purpose The purpose of this paper is to apply state-of-the-art machine learning techniques for assessing the quality of the restaurants using restaurant inspection data. The machine learning techniques are applied to solve the real-world problems in all sphere of life. Health and food departments pay regular visits to restaurants for inspection and mark the condition of the restaurant on the basis of the inspection. These inspections consider many factors that determine the condition of the restaurants and make it possible for the authorities to classify the restaurants. Design/methodology/approach In this paper, standard machine learning techniques, support vector machines, naïve Bayes and random forest classifiers are applied to classify the critical level of the restaurants on the basis of features identified during the inspection. The importance of different factors of inspection is determined by using feature selection through the help of the minimum-redundancy-maximum-relevance and linear vector quantization feature importance methods. Findings The experiments are accomplished on the real-world New York City restaurant inspection data set that contains diverse inspection features. The results show that the nonlinear support vector machine achieves better accuracy than other techniques. Moreover, this research study investigates the importance of different factors of restaurant inspection and finds that inspection score and grade are significant features. The performance of the classifiers is measured by using the standard performance evaluation measures of accuracy, sensitivity and specificity. Originality/value This research uses a real-world data set of restaurant inspection that has, to the best of the authors’ knowledge, never been used previously by researchers. The findings are helpful in identifying the best restaurants and help finding the factors that are considered important in restaurant inspection. The results are also important in identifying possible biases in restaurant inspections by the authorities.

scholarly journals A COMPARATIVE ANALYSIS OF DIFFERENT DEM INTERPOLATION METHODS IN GIS: CASE STUDY OF RAHOVEC, KOSOVO

2019 ◽  
Vol 45 (5) ◽  
pp. 43-48 ◽  
Author(s):  
Besim Ajvazi ◽  
Kornél Czimber
Keyword(s):  
Comparative Analysis ◽  
Real World ◽  
Spatial Interpolation ◽  
Kriging Interpolation ◽  
Surface Model ◽  
Control Points ◽  
Data Set ◽  
The Real ◽  
Interpolation Methods ◽  
Spatial Interpolation Methods

Geographic Information System (GIS) uses geospatial databases as a model of the real world. Since we are speaking of the real world this entails that in many cases the information about the Earth’s surface is highly important. Therefore, the generation of a surface model is significant. Basically, the quality of the Digital Elevation Model (DEM) depends on the source data or techniques used to obtain them. However, different spatial interpolation methods used for the same data may provide different results. This paper compares the accuracy of different spatial interpolation methods such as IDW, Kriging, Natural Neighbor and Spline. Since interpolation is essential in DEM generation, then is important to do a comparative analysis of such methods to find out which one provides more accurate results. The DEM data set used is from an aero photogrammetric surveying. According to this data set, three scenarios are performed for each of the methods. Selected random control points are derived from the base data set. The first example includes 10% of randomly selected control points, the second example includes 20%, and the third example includes 30%. The Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) are calculated. We find out that results do not have much difference; however, the most accurate results are derived from the Spline and Kriging interpolation methods.

Sign in / Sign up

Export Citation Format

Share Document