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Resdiansyah .
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Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Transportation

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APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA ., Resdiansyah; ., Ircham; Sandjoko, Otto
Jurnal Transportasi Vol 13, No 3 (2013)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB)

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA ., Resdiansyah; ., Ircham; Sandjoko, Otto
Jurnal Transportasi Vol 13, No 3 (2013)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB) | DOI: 10.26593/jt.v13i3.1346.%p

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA Resdiansyah .; Ircham .; Otto Sandjoko
Jurnal Transportasi Vol. 13 No. 3 (2013)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB) | DOI: 10.26593/jtrans.v13i3.1346.%p

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
The Influence of Product Development and Promotion on Purchase Intention Moderated by Social Media Influencers Resdiansyah, Resdiansyah; Pardede, Ratlan
Journal of World Science Vol. 3 No. 9 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i9.709

Abstract

This study aimed to analyze the effect of product development and Promotion on purchase intention, with the role of social media influencers as moderating variables. This research focuses on consumers of TEKIRO brand hand tools products distributed by PT Altama Surya Anugerah (ASA) - Indonesia. The research method used is quantitative, with a Google Forms survey approach. The research sample consisted of 190 respondents who were consumers of TEKIRO hand tools products in 15 major cities in Indonesia. The sampling technique used is non-probability sampling with the quota method. This data was collected by online and offline questionnaires, which the researchers then analyzed using Structural Equation Modeling (SEM) with the AMOS version 23 application. The study results indicate that product development has a significant positive effect on purchase intention. The Promotion has no significant effect on purchase intention. Social media influencers strengthen the positive Influence of product development on purchase intention. However, social media influencers do not strengthen the Influence of Promotion on purchase intention. This research implies that companies must prioritize innovative and sustainable product development and can utilize social media influencers who are credible, relevant to the company's business, know the influencer's audience, and have a good reputation to increase consumer purchase intention.  
Co-Authors Galih Wulandari Subagyo Ircham Otto Sandjoko Ratlan Pardede Rizka Arbaningrum