Online Transportation In Indonesia Research Articles

Pengaruh Kualitas Pelayanan, Harga, dan Citra Merek terhadap Keputusan Pembelian Jasa Transportasi Online Maxim di Yogyakarta

Maxim is a Russian online transportation that has developed in Indonesia. The large number of online transportation in Indonesia makes Maxim offer affordable prices with many choices of services with good quality to attract customer. The study aims to determine the influence of service quality, price, and brand image on purchasing decisions for Maxim online transportation services. Using a quantitative approach, with data sources derived from primary and secondary data. Primary data was obtained by distributting questionnares to respondents. Secondary data sources were obtained from journals and books. The sample collection technique uses non-probability sampling (purposive sampling). The research sample was 168 respondents with the criteria of being students, residing in Yogyakarta, and had used Maxim,s online transportation services at least once. The data was processed using descriptive analysis test methods, instrument tests, classical assumption tests, multiple linear regression analysis, and hyphotesis testing with the help of SPSS 27 software. The result showed that serivec quality, price, and brand image influence purchasing decisions for Maxim online transportation services.

Konsep Disruptive Marketing dalam Menanggulangi Praktik Jual Rugi oleh Perusahaan Penyedia Jasa Transportasi Online

The rapid development of app-based online transportation in Indonesia addresses the public's need for application-based transportation modes. However, intense competition among app-based transportation providers has led to the emergence of predatory pricing strategies. To investigate these practices and their implications for the relevant market and disruptive market from a legal perspective, a normative legal research was conducted. The results reveal regulatory ambiguities concerning promotional pricing concepts in online transportation companies, which have led to predatory pricing practices violating Article 20 of Law Number 5 of 1999. This discrepancy reflects legal frameworks lagging behind technological advancements, contrary to the concept of living law. Considering this, the urgent application of disruptive marketing by app-based transportation providers is essential to foster innovation without infringing upon the principles and laws of fair competition.

Twitter Sentiment Analysis on Online Transportation in Indonesia Using Ensemble Stacking

Online transportation is a transportation innovation that has emerged along with the development of online-based applications that provide many features and conveniences. In its development, many users wrote their responses to the application on social media such as twitter. Many opinions and responses are directly conveyed by users of online transportation modes to their official accounts. The responses given by these users are very large and can be used as sentiment analysis on online transportation. However, the analysis process cannot be done manually. Therefore, we need a system that can help analyze user responses on Twitter automatically. In this study, a sentiment analysis system was built for online transportation in Indonesia using the ensemble stacking algorithm, which will simplify and increase the accuracy of the sentiment analysis. Ensemble stacking is a solution for advanced machine learning methods that can improve the performance of the base classifier. The system built on ensemble stacking uses three base classifiers, namely SVM kernel RBF, SVM linear kernel, and logistic regression. The best accuracy result on the gojek dataset is 88%, and the best F1 score is 87%. Ensemble Stacking which is applied to the research that the author conducted on online transportation sentiment analysis on twitter, obtained better accuracy than the base classifier used.

Contradictions of Online Motorcycle Taxi (Ojek) Arrangements as Public Motor Vehicles in Indonesia

There are various types of transportation services as facilities for community mobilization in Indonesia, one of them is an Ojek. Ojek as a two-wheeled transportation service considered as alternative public transportation which can transport a person from one place to another in a fast way and at affordable costs. With the development of technology and transportation in this digital era, conventional motorcycle taxi (in Indonesia: ojek konvensional) transformed into online motorcycle taxi (known as ojek online), a transportation service using an online application as the ordering media. However, currently, there is no regulation that regulates or legalizes the existence of the motorcycle taxi itself, until the emergence of online motorcycle taxi. With the issuance of Minister of Transportation Law Number 12 of 2019, which gave a perspective that motorbikes were legalized into public transportation, while the regulation in Indonesia Transportation Law stated that motorbikes were not public transportation and Constitutional Court Decision Number 41/PUU-XVI/2018 refuse the legality of motorbikes as the public transportation. The contradiction of the regulation of online motorcycle taxi has resulted an unclear legality of motorbikes used as an online transportation in Indonesia. Transportation Law as a higher regulation than Minister of Transportation Law does not regulate the classification of motorbikes as a public transportation which resulted a contradiction on the basis of the hierarchy of laws in Law Number 12 of 2011.

Managing Online Transportation Policy in Indonesia and Implementing It to Avoid Social Conflict

This research aims to analyze online transportation policy and its implementation in Indonesia at the ontological and sociological levels that significantly reduce social conflict. The problem is very interesting to be analyzed by conducting qualitative research based on public policy, abuse of power, and conflict resolution. Data were collected through in-depth interviews, observation, and documentation related to online transportation cases in Indonesia. Data were analyzed by using interactive models, data reduction, data display, data verification, and supported by triangulation. The results were based on the ontological and sociological levels using public policy and power perspectives to improve online transportation policy and practice. The vision and mission of public policy on managing online transportation policy are needed to provide information to stakeholders related to the regulations and sanctions in online transportation. This result provides inputs for better regulation of online transportation in Indonesia for state agencies as public officials and practitioners.

Public Sentiment Analysis of Online Transportation in Indonesia through Social Media Using Google Machine Learning

Public opinion is important to agencies or parties in particular fields, as it may indicate a tendency of public's view towards something (such as an object or process). One of them is in the transportation sector. Transportation has become a necessity for the community, many things more effective and efficient online, so that online transportation becomes important for society. The proliferation of online transportation, caused citizens to express opinions through social media. It is important to know the level of service of online transportation considering the large number of users, so that it can be used as a basis for improvement. One of the methods public opinion in social media is by sentiment analysis. The study used the help of Google Machine Learning for the sentiment analysis process that can produce 82,6% of accuracy number, 82,2% of precision, 83,3% of recall with the most sentiment result indicate to public opinion falls into the negative sentiment category for Gojek companies in media social of Twitter.

Technology Acceptance Model, Social Influence and Perceived Risk in Using Mobile Applications: Empirical Evidence in Online Transportation in Indonesia

The purpose is to examine the impact of technology acceptance model consisting of usefulness and ease of use on the intention to use, social influence and perceived risk consisting of physical and psychological risk on the intention to use, and examine its impact on behavior using mobile applications. Benefit, ease of use and social factors were considered as the critical factors in accepting and using a technology. However, mobile applications has limitation in consuming an online product or service. A total of 1383 questionnaires were obtained from respondents of online transportation service users in Jakarta, Bandung, Yogyakarta and Surabaya. Using PLS-SEM, it is found that the there are significant relationships between technology acceptance model, physical risk, intention and behavior using mobile applications, but no relationship between psychological risk and intention. This study also found that the influence of intention on behavior using mobile applications is dependent on perceived usefulness, perceived ease of use and perceived physical risk rather than perceived psychological risks.

Role of Grab on the social life changes of Bengkulu City

Purpose – The presence of Grab has invited many discussions. The purpose of this study is to know the role of Grab on changes in social life in Bengkulu city both in terms of Grab drivers, consumers, and other conventional transportation.Method – This study uses a qualitative approach with an in-depth interview method. The total respondents in this study are 38 people consisting of 5 people from Grab drivers, 30 people from consumers, and five people from conventional transportation.Result – This study found that there were changes in Grab drivers' income, but there were no social changes in Grab drivers. On the other hand, there were social changes in Grab consumers and conventional drivers. Implication – This study can be used by public, government, and private sector to understand better consumer behaviour in online transportation field.Originality – As the growth of online transportation in Indonesia is increasing, this study offers early understanding upon the phenomena.

THE FACTORS THAT INFLUENCING THE JOB PERFORMANCE OF DRIVERS WHO WORKS IN THE 4.0 ONLINE TRANSPORTATION INDUSTRY

The purpose of this research is to test the effect of self-efficacy, training, wages and reward satisfaction to the driver’s job performance working in Indonesia’s online transportation. Measurement tool used in this research was the questionnaire given to 150 respondents who are working in Indonesia’s online transportation company. The data analysis used is the SEM (Structural Equation Modeling). The result shows that self-efficacy, training, wages and reward satisfaction has positive impact on job performance. This finding provides practical implications to companies in the 4.0 industry especially online transportation in Indonesia, to enhance the quality of training, self-efficacy, wages and reward satisfaction so that the driver’s performance becoming better and has positive impact to the company.

Evaluator Bias in Performance Evaluation of Online Transportation Driver: Empirical Study in Indonesia

Online transportation as a developing industry in Indonesia applies bonus-or-terminate incentives based on both objective and subjective performance evaluation. Regarding bias problems often found in the subjective evaluation, this paper aims to examine factors that influence bias in performance evaluation of the online transportation drivers. The data were collected by an online survey to users of online transportation in Indonesia using convenience sampling. Multiple regression analysis was utilized to analyze 163 data. The result shows that users of online transportation services tend to generate a biased rating, which is leniency bias. Altruism and knowledge of incentives scheme as the users’ internal factors significantly affect the biased evaluation. On the other hand, the external factors of the users, i.e., the frequency of usage and evaluation timing, do not significantly affect the biased evaluation. However, the other external factor, i.e., travel distance and duration, is found to affect the leniency bias positively. This paper concludes that more information related to the evaluation object and the inherent characteristic of an individual as the effect of collectivist national culture may lead to the generation of biased performance evaluation by the evaluator to help evaluated party avoiding penalty/termination in this competitive working environment.

Service quality factors: Web navigation on online transportation in Indonesia

The purpose of this research to analyse the service quality of online transportation an area in Indonesia, seen from consumer perceptions, and map service quality attributes based on consumer perceptions. The research method used in this research is Service Quality Analysis (SERVQUAL) and Importance Performance Analysis (IPA). The population in this research is online transportation consumers, who have used a go ride service at least 1 time. The sampling used in this research was sampling quota of 200 respondents. The results of this research indicate that overall there is a gap between performance values with consumer expectations of -0.5, so it can be assumed that the service quality of Gojek in the region according to consumer perceptions is quite good. Based on the results of the mapping it was found that the factor of ease of web navigation became one of the factors of the services quality of online transportation. So that these factors must be a concern of the company.

How Technology Affects Behavioral Intention (Case Study of Online Transportation in Indonesia and Thailand)

"Research Aims: Using two countries as the object, this study aims to analyze the influence of technology readiness towards favorableness on online transportation consumers in Indonesia and Thailand. Design/methodology/approach: Empirical evidence for the research was derived from a survey that collected data from 500 students in Indonesia and Thailand, analyzed using Logit Biner method with the help of software SPSS. Research Findings: The result of this study shows that there were two hypotheses accepted, H1 (optimism influences favorableness) and H3 (insecurity has an effect on favorableness), while other hypotheses (H2 and H4) are not significant. Theoretical Contribution/Originality: This study analyzes the influence of technology readiness to favorableness in two countries in South East Asia, Indonesia and Thailand, focusing on online transportation. Managerial Implication in the South East Asian context: The result can be useful for online transportation companies in South East Asian Research limitation & implications: This study was limited by subject and sample"

Disruptive Innovation on Competition Law: Regulation Issues of Online Transportation in Indonesia

Disruptive innovation such as online transportation business is a leap of innovations of in services that triggered chaos in field of competition law. The emergence of new cumbent with its disruptive innovation has disturbed the market that dominated by the incumbent. This chaos cannot be overcome by the same legal approach because it has a different business model, in fact, it also happened in Indonesia. This study aims to: (a) reviewing whether disruptive innovation infringes the principles and provisions of competition law and; (b) identifying and evaluating various regulations regarding online transportation in Indonesia. The method of this research is normative legal research, which examines various legal principles, legal theories, and legislation. Findings of this study are; First, disruptive innovation is not an unlawful act because it does not infringe any provisions in the competition law. And also, this innovation is not contravene with the public order; its using new business platforms that are different from old business models. Second, Indonesian government has regulated this disruptive innovation by issuing regulation which has been sued for judicial review and amendment. Finally, Indonesian government has formulated an accommodative regulation format, i.e., online transportation is equalized to the specialized rental transportation.

Sentiment Analysis of Twitter Social Media to Online Transportation in Indonesia Using Naïve Bayes Classifier

The application of information technology in transportation services is a positive development felt by the community with the emergence of various online transportation services. On the other hand, nowadays society cannot escape the use of social media in communicating and interacting with other parties. This research was conducted to determine the relationship between the use of social media and the use of online transportation services. The study was conducted using the Naïve Bayes Classifier method to analyze Twitter social media sentiment towards online transportation in Indonesia. The study was conducted by processing 1009 data, consisting of 900 training data and 109 test data. From the results of testing of 109 training data obtained 11% had a positive value, 14% negative value, and the rest, which is 75% neutral value. While the test accuracy test for 109 data resulted in an accuracy of 84%. The results of the study show that most of the use of Twitter social media in Indonesia does not affect the user's decision to utilize online transportation services.

The Customer Satisfaction of Online Transportation in Indonesia

The purpose of the research is to determine the effect of the online shopping attitude, perceived convenience, user interface and user experience, and consumer innovativeness towards customer satisfaction of online transportation in Indonesia. The research method used in this research is associative method. Data analysis is done using quantitative methods by distributing questionnaires to 332 randomly across Indonesia to all correspondents who are online transportation consumers. The results show that there is a significant influence on perceived convenience, user interface and user experience, and consumer innovativeness towards customer satisfaction, as well as consumer innovativeness on customer satisfaction, while online shopping attitude shows no influence. Therefore, online transportation company in Indonesia should focus more on the factors that have a positive and significant influence on their customer satisfaction, which are perceived convenience, user interface and user experience, and consumer innovativeness.

Decision tree combined with PSO-based feature selection for sentiment analysis

Sentiment analysis can be considered as a classification task in natural language processing as it harnesses classification algorithm to predict a particular class in a text data. In the classification task, feature extraction is a process to extract the features of the data so that it can be used as the input of the classification algorithm. However, not all features are particularly relevant for a classifier. Irrelevant features might significantly decrease the performance of classification algorithm. This paper proposes a PSO-based feature selection, combined with decision tree algorithm (PSO-C4.5) for sentiment analysis. The PSO-C4.5 is validated on a private data set, which is a sentiment data set about online transportation in Indonesia. The proposed method considerably enhances the performance of decision tree in comparison with the baseline.

Measuring Factors Influencing the Adoption of OVO Feature in Grab Application in Indonesia

The increasing number of internet users makes the number of online transactions also increase along with the development of technology for cashless payment system. Started from 2017, cashless payments seem promising for certain types of transactions, such as ride-hailing and food delivery. One of Indonesia's top financial applications since 2017 is OVO. OVO is a technology-based payment services company which uses emerging financial technologies to provide new ways for customers to live their lives. In collaboration with Grab, OVO has a role as a cashless payment system in the Grab application. Since Grab is the second largest online transportation in Indonesia and OVO in the Grab application is the only cashless payment system, it is important to analyze the factors that influence the adoption of OVO feature in the Grab application to improve OVO and Grab service positions in the future.The objective of this research is to measuring factors influencing continuance intention of OVO feature in Grab application adoption in Indonesia. The research model used in this research is a Modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model with Trust as a new variable.This research used data from 30 respondents who lived in Indonesia and the respondents are only the user of OVO feature in Indonesia. The questionnaire was shared and gathered through an online survey, with 45 survey items from 9 construct. Using Gender and Age as moderate variable, the respondents are divided into categories such as young age, adult age, female and male. The data gathered has been fulfilled the validity and readability criteria.

PERLINDUNGAN HUKUM TERHADAP KONSUMEN TRANSPORTASI BERBASIS ONLINE YANG MENGGUNAKAN DRIVER CADANGAN

Logistic or transportation, including online transportation is an essential aspect in every day’s life. Technology advancement has promoted the introduction of online transportation in Indonesia. However, there is no clear integrated regulation of online transportation including reserve driver. This research also to look at how online transportation company will be responsible on the consumer who used the service of ‘backup’ driver; and what is the legal protection of the consumer in order to protect consumer who had used the service of reserve driver. The method used in this research is normative research specifications, using secondary data and primary data as supporting data with the law approach. The result shows that online transportation customers with reserve driver cannot hold accountability to the online transportation company based on Article 19 of the UUPK and Article 192 UULLAJ, because the business owners are not public transport companies but are the application-based companies. In addition, online transportation also does not provide legal protection to passengers, including of reserve driver, consumers cannot sue the company under UUPK or UULLAJ, but consumers can sue the company under Article 1365 of the Civil Code. Hence, author suggests the government should issue a government-controlled regulation regarding online transportation including reserve driver which could result in the provisions usage of the carrier responsibility in accordance to the UULLAJ by online transportation. Furthermore, online transportation company must provide legal protection to ensure legal certainty for consumers by releasing regulations and sanctions for drivers who lend their account to other driver.

How Service Quality Affects Customer Loyalty in the Online Transportation

Online transportation in Indonesia is experiencing rapid growth. The existence of online transportation is not only in big cities, but has begun to spread to areas that can be categorized as second cities, including Denpasar City as the provincial capital of Bali. Increasingly intense competition, especially in the field of online transportation, where many producers are involved in fulfilling the needs and wants of consumers, causing each service company to place customer satisfaction orientation as the main goal to win the competition. This study aims to determine the effect of service quality offered by online transportation to customer satisfaction in Denpasar City, with the number of respondents as many as 100 respondents. This research is a quantitative descriptive study and the method of this research is a survey method with a questionnaire instrument. The results of the study influence the quality of service on customer satisfaction by 43.5% while the remaining 56.5% can be explained by other causes not examined in this study.

Utilization of the internet in the development of online transportation in Indonesia

The purpose of research on Internet Utilization in the Development of Online Transportation in Indonesia is to know the development of online-based transportation by utilizing the internet as the main focus of modalities that must be needed, and identify problems arising in the development of online transportation facilities in Indonesia. The method used in this research was qualitative research method, where the data already exists and use existing theory as support. Then using descriptive research by explaining various phenomena in the community and taking the type of research through case studies. The results of the research can be used as a reference for the younger generation who want to do the entrepreneurship by looking at the great opportunities through the internet by looking at the phenomenon around the community to make a breakthrough or innovation for ease of consumer or consumer and provide the representation for the public will the development of advanced transportation facilities.