ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES

The emergence of social media has facilitated interactions among people. Interactions on social media can be considered very similar to real-world interactions, allowing digital social media data to serve as a valuable resource for analyzing real-world dynamics. A hit phenomenon occurs when a par...

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主要作者: Ahsanul Hafizhah, Tsamarah
格式: Final Project
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/80597
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機構: Institut Teknologi Bandung
語言: Indonesia
id id-itb.:80597
spelling id-itb.:805972024-02-06T08:51:59ZANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES Ahsanul Hafizhah, Tsamarah Indonesia Final Project hit phenomenon, advertisement, word-of-mouth, decline of audiences, Google Trend, 4th-order of Runge-Kutta INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/80597 The emergence of social media has facilitated interactions among people. Interactions on social media can be considered very similar to real-world interactions, allowing digital social media data to serve as a valuable resource for analyzing real-world dynamics. A hit phenomenon occurs when a particular topic experiences a surge in popularity, attracting a substantial number of followers within a certain time. This research aims to construct a mathematical model for the hit phenomenon, incorporating three main factors: advertisement, word-of-mouth, and the decline of audiences. The advertisement and word-of-mouth factors will impact the transition of potential hit followers to actual hit followers, while the decline of audiences factor will influence the transition of hit followers to former hit followers. The mathematical model of the hit phenomenon will review the dynamics of population growth among potential hit followers, hit followers, and former hit followers over a unit of time, thus the appropriate model form is a system of first-order differential equations. Then, a numerical simulation will be carried out on the model using the 4th-order Runge-Kutta method, with Google Trend data as the basis for implementing the simulation. This numerical simulation aims to derive conclusions regarding the three factors that influence the hit phenomenon model specifically focusing on widely used social media platforms by Indonesian people in the last 5 years, namely TikTok, Instagram, and X (Twitter). Analysis of the last 5 years reveals that the impact of advertising factors on the trend of X (Twitter) is slightly superior to Instagram, while TikTok trails behind these two social media platforms. Additionally, the influence of word-of-mouth on TikTok trends surpasses that on X (Twitter) and Instagram. Examining the influence of the decline of audiences on social media trends reveals that TikTok has the most significant impact, followed by Instagram, and X (Twitter) with the least influence. From all the numerical simulations carried out, it is observed that the decline of audiences factor holds considerable influence on the hit phenomenon. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The emergence of social media has facilitated interactions among people. Interactions on social media can be considered very similar to real-world interactions, allowing digital social media data to serve as a valuable resource for analyzing real-world dynamics. A hit phenomenon occurs when a particular topic experiences a surge in popularity, attracting a substantial number of followers within a certain time. This research aims to construct a mathematical model for the hit phenomenon, incorporating three main factors: advertisement, word-of-mouth, and the decline of audiences. The advertisement and word-of-mouth factors will impact the transition of potential hit followers to actual hit followers, while the decline of audiences factor will influence the transition of hit followers to former hit followers. The mathematical model of the hit phenomenon will review the dynamics of population growth among potential hit followers, hit followers, and former hit followers over a unit of time, thus the appropriate model form is a system of first-order differential equations. Then, a numerical simulation will be carried out on the model using the 4th-order Runge-Kutta method, with Google Trend data as the basis for implementing the simulation. This numerical simulation aims to derive conclusions regarding the three factors that influence the hit phenomenon model specifically focusing on widely used social media platforms by Indonesian people in the last 5 years, namely TikTok, Instagram, and X (Twitter). Analysis of the last 5 years reveals that the impact of advertising factors on the trend of X (Twitter) is slightly superior to Instagram, while TikTok trails behind these two social media platforms. Additionally, the influence of word-of-mouth on TikTok trends surpasses that on X (Twitter) and Instagram. Examining the influence of the decline of audiences on social media trends reveals that TikTok has the most significant impact, followed by Instagram, and X (Twitter) with the least influence. From all the numerical simulations carried out, it is observed that the decline of audiences factor holds considerable influence on the hit phenomenon.
format Final Project
author Ahsanul Hafizhah, Tsamarah
spellingShingle Ahsanul Hafizhah, Tsamarah
ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
author_facet Ahsanul Hafizhah, Tsamarah
author_sort Ahsanul Hafizhah, Tsamarah
title ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
title_short ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
title_full ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
title_fullStr ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
title_full_unstemmed ANALYSIS OF HIT PHENOMENON BY THE FACTOR OF ADVERTISEMENT, WORD-OF-MOUTH, AND DECLINE OF AUDIENCES
title_sort analysis of hit phenomenon by the factor of advertisement, word-of-mouth, and decline of audiences
url https://digilib.itb.ac.id/gdl/view/80597
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