Analysis of Transjakarta Intention to Use Via the Transjakarta Card Vending Machine

Technological developments have encouraged various innovations in the transportation sector, especially TransJakarta which has presented innovations in the form of TransJakarta card vending machine services with an effort to create a transportation system that is more modern, efficient and responsive to user needs. Understanding the factors of acceptance of new technology on user interest is important for companies to develop effective marketing strategies. This research aims to find out what factors shape the interest of TransJakarta users through the TransJakarta card vending machine using the Technology Acceptance Model (TAM) theory, namely perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use felt by users. Using quantitative methods with data collection techniques through online surveys distributed on social media via Google Forms. The sample in this study were all TransJakarta users who knew about the TransJakarta card vending machine service. Data analysis uses SPSS to analyze TAM theory and Exploratory Factor Analysis (EFA) data analysis. The research results show that the factors that shape user interest are three main factors from the previous four factors. User attitudes show a positive attitude and enjoyment towards vending machine services. The usefulness of the TransJakarta card vending machine can increase efficiency and be beneficial for users when using this service. The vending machine service has succeeded in providing convenience for users.

Authors

Publication Details

Journal
Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.
Published
2024-09-09
DOI
https://doi.org/10.21009/isc-beam.012.100
Primary Topic
Urban Transport Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Transjakarta Intention to Use Via the Transjakarta Card Vending Machine

Silna Hasni Dinar Rosyidi Anwar Rosyidi
Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.
Urban Transport Systems Analysis
article

Analysis of Transjakarta Intention to Use Via the Transjakarta Card Vending Machine

Silna Hasni Dinar Rosyidi Anwar Rosyidi
article en

Abstract

Technological developments have encouraged various innovations in the transportation sector, especially TransJakarta which has presented innovations in the form of TransJakarta card vending machine services with an effort to create a transportation system that is more modern, efficient and responsive to user needs. Understanding the factors of acceptance of new technology on user interest is important for companies to develop effective marketing strategies. This research aims to find out what factors shape the interest of TransJakarta users through the TransJakarta card vending machine using the Technology Acceptance Model (TAM) theory, namely perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use felt by users. Using quantitative methods with data collection techniques through online surveys distributed on social media via Google Forms. The sample in this study were all TransJakarta users who knew about the TransJakarta card vending machine service. Data analysis uses SPSS to analyze TAM theory and Exploratory Factor Analysis (EFA) data analysis. The research results show that the factors that shape user interest are three main factors from the previous four factors. User attitudes show a positive attitude and enjoyment towards vending machine services. The usefulness of the TransJakarta card vending machine can increase efficiency and be beneficial for users when using this service. The vending machine service has succeeded in providing convenience for users.

Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.Vol. 2(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Urban Transport Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.