MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL

The number of motorcyclists in Indonesia is increasing rapidly. Unfortunately, this number is directly proportional to the number of accidents experienced by motorcyclists. Various studies have proven that the use of mobile phones (mobile phones) is one of the causes of accidents that occur in m...

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Main Author: Hayu Anindya, Alifia
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70482
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:70482
spelling id-itb.:704822023-01-12T15:51:34ZMODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL Hayu Anindya, Alifia Indonesia Theses mobile phone, motorcycle, model, TPB, HBM, SEM INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70482 The number of motorcyclists in Indonesia is increasing rapidly. Unfortunately, this number is directly proportional to the number of accidents experienced by motorcyclists. Various studies have proven that the use of mobile phones (mobile phones) is one of the causes of accidents that occur in motorcyclists. Therefore, further prevention efforts related to the use of mobile phones among motorcyclists are needed. The purpose of this study is to observe the behavior of mobile phone use in Bandung Raya and model factors that affect the intention of not to use mobile phones while riding. Total 500 of motorcyclists in Bandung Raya consisting of 388 men and 112 women, filled out questionnaires about demographic data, driving behavior, and questions related to the intention of not to use mobile phones while riding. Driving behavior is observed using the Theory of Planned of Behavior (TPB) and Health Belief model (HBM). TPB consists of Attitude, Subjective Norm, and Perceived Behavioral Control. HBM consisting of Perceived Benefit, Perceived Barrier, Perceived Severity, Perceived Susceptibility, and Cues to Action. Likert scale is used in responding to questions (1= strongly agree, 5= strongly disagree). The data is processed using descriptive statistical analysis and Structural Equation Modeling (SEM). The results showed that the prevalence of mobile phone use from respondents was 75%. Demographic that has significant impact on mobile phone use while motorcycling are age, education level, marital status, and child ownership. Occupation, gender, and accident experiences are less likely to affect cell phone use while motorcycling. Models show that factors that influence intention of not to use mobile phone while motorcycling are attitude, perceived behavioral control, and cues to action. 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 number of motorcyclists in Indonesia is increasing rapidly. Unfortunately, this number is directly proportional to the number of accidents experienced by motorcyclists. Various studies have proven that the use of mobile phones (mobile phones) is one of the causes of accidents that occur in motorcyclists. Therefore, further prevention efforts related to the use of mobile phones among motorcyclists are needed. The purpose of this study is to observe the behavior of mobile phone use in Bandung Raya and model factors that affect the intention of not to use mobile phones while riding. Total 500 of motorcyclists in Bandung Raya consisting of 388 men and 112 women, filled out questionnaires about demographic data, driving behavior, and questions related to the intention of not to use mobile phones while riding. Driving behavior is observed using the Theory of Planned of Behavior (TPB) and Health Belief model (HBM). TPB consists of Attitude, Subjective Norm, and Perceived Behavioral Control. HBM consisting of Perceived Benefit, Perceived Barrier, Perceived Severity, Perceived Susceptibility, and Cues to Action. Likert scale is used in responding to questions (1= strongly agree, 5= strongly disagree). The data is processed using descriptive statistical analysis and Structural Equation Modeling (SEM). The results showed that the prevalence of mobile phone use from respondents was 75%. Demographic that has significant impact on mobile phone use while motorcycling are age, education level, marital status, and child ownership. Occupation, gender, and accident experiences are less likely to affect cell phone use while motorcycling. Models show that factors that influence intention of not to use mobile phone while motorcycling are attitude, perceived behavioral control, and cues to action.
format Theses
author Hayu Anindya, Alifia
spellingShingle Hayu Anindya, Alifia
MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
author_facet Hayu Anindya, Alifia
author_sort Hayu Anindya, Alifia
title MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
title_short MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
title_full MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
title_fullStr MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
title_full_unstemmed MODELING INTENTION OF NOT USE MOBILE PHONE WHILE RIDING BASED ON THEORY OF PLANNED BEHAVIOR AND HEALTH BELIEF MODEL
title_sort modeling intention of not use mobile phone while riding based on theory of planned behavior and health belief model
url https://digilib.itb.ac.id/gdl/view/70482
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