Information Need: A Theory Connecting Information to Knowledge Formation. By Charles Cole. Medford, NJ: Information Today, Inc., 2012. Pp. xiii+224. $59.50 (cloth). ISBN 978-1-57387-429-8.

A mixed-design experiment was conducted to explore differences between searching and surfing on cognitive and emotional responses to online news. Ninety-two participants read three unpleasant news stories from a website. Half of the participants acquired their stories by searching, meaning they had a previous information need in mind. The other half of the participants acquired their stories by surfing, with no previous information need in mind. Heart rate, skin conductance, and corrugator activation were collected as measures of resource allocation, motivational activation, and unpleasantness, respectively, while participants read each story. Self-report valence and recognition accuracy were also measured. Stories acquired by searching elicited greater heart rate acceleration, skin conductance level, and corrugator activation during reading. These stories were rated as more unpleasant, and their details were recognized more accurately than similar stories that were acquired by surfing. Implications of these results for understanding how people process online media are discussed.

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PEMILIHAN MEDIA KOMUNIKASI DARI MAHASISWA UNIVERSITAS BUNDA MULIA ANGKATAN 2010/2011 JURUSAN MANAJEMEN

Business Management Journal ◽

10.30813/bmj.v6i2.655 ◽

2017 ◽

Vol 6 (2) ◽

Author(s):

Lelly Christin

Keyword(s):

Market Share ◽

Direct Mail ◽

Communication Media ◽

Marketing Communication ◽

University Management ◽

Integrated Marketing ◽

Information Need ◽

Integrated Marketing Communication ◽

The Right ◽

The University

Lately competition becomes really tough, because of that each University has to choose the right strategy in order to increase their market share. Some of the strategies than can be done are by choosing the right communication media for each promotion that the university wants to do. For the reason, this research wants to know which communication media that really attracts students at Bunda Mulia University, Management Major in year 2010/2011. In this research, the writers used incidental sampling. The writers also use questionnaire for gathering the data or information need. To analyze the data, the writes use SPSS ver. 15.0 for windows. The conclusion of this research about the highest percentage to the lowest percentage of the most attractive communication media are television, internet, direct mail, magazines, radio, newspapers, outdor advertising, and the last one is telemarketing. According to result, the highest percentage of an attractive communication media is television, so writer suggest that the best media to do the promotion is television media.Keyword :Communication media, markeing communication, integrated marketing communication

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Knowledge representation in graph-models of complex technical systems

Informatization and communication ◽

10.34219/2078-8320-2020-11-3-12-16 ◽

2020 ◽

pp. 12-16

Author(s):

Evgenia R. Muntyan

Keyword(s):

Analytical Study ◽

Level Structure ◽

Graph Models ◽

Level Data ◽

Knowledge Formation ◽

Different Types ◽

Level Information ◽

Complex Technical Systems ◽

Technical Systems ◽

Structure Of Knowledge

The article analyzes a number of methods of knowledge formation using various graph models, including oriented, undirected graphs with the same type of edges and graphs with multiple and different types of edges. This article shows the possibilities of using graphs to represent a three-level structure of knowledge in the field of complex technical systems modeling. In such a model, at the first level, data is formed in the form of unrelated graph vertices, at the second level – information presented by a related undirected graph, and at the third level – knowledge in the form of a set of graph paths. The proposed interpretation of the structure of knowledge allows to create new opportunities for analytical study of knowledge and information, their properties and relationships.

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UGLEO: A WEB BASED INTELLIGENCE CHATBOT FOR STUDENT ADMISSION PORTAL USING MEGAHAL STYLE

Jurnal Ilmiah Informatika Komputer ◽

10.35760/ik.2018.v23i3.2373 ◽

2018 ◽

Vol 23 (3) ◽

pp. 175-191

Author(s):

Anneke Annassia Putri Siswadi ◽

Avinanta Tarigan

Keyword(s):

Markov Chain ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Information Need ◽

Web Based ◽

Markov Chain Method ◽

Information Center

To fulfill the prospective student's information need about student admission, Gunadarma University has already many kinds of services which are time limited, such as website, book, registration place, Media Information Center, and Question Answering’s website (UG-Pedia). It needs a service that can serve them anytime and anywhere. Therefore, this research is developing the UGLeo as a web based QA intelligence chatbot application for Gunadarma University's student admission portal. UGLeo is developed by MegaHal style which implements the Markov Chain method. In this research, there are some modifications in MegaHal style, those modifications are the structure of natural language processing and the structure of database. The accuracy of UGLeo reply is 65%. However, to increase the accuracy there are some improvements to be applied in UGLeo system, both improvement in natural language processing and improvement in MegaHal style.

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