Vehicles In Indonesia Research Articles

Generation Y and the Shift to Electric Vehicles in Indonesia: Exploring Key Drivers and Barriers

Purpose: Compared With other Asian countries, the usage rate of electric vehicles in Indonesia remains slow owing to a lack of public interest. This paper explores some significant factors that affect the interest of electric vehicles for Gen Y EV products, including environmental concerns and individual consequences. Research Methodology: We extend the previous study by adding other variables, including individual and environmental consequences. Data from 446 respondents were collected through a judgmental sampling procedure and analyzed using partial least squares structural equation Modeling. Results: The results showed that attitudes towards the five dimensions of the UTAUT-2 model significantly influenced intention to purchase. However, attitude did not mediate the relationship between habit and purchase intention. On the other hand, attitude mediation vastly influences not only the association between individual consequences and purchase intention, but also that between environmental concerns and purchase intention. On the other hand, subjective norms also have a positive influence on purchase intention, while perceived risk is not considered to affect the purchasing decisions of Generation Y. Recommendation: This study recommends that both electric vehicle manufacturers and the Indonesian government improve infrastructure and raise public awareness to increase interest in electric vehicles.

Kebijakan Hukum Pengaturan Penggunaan Kendaraan Listrik Dalam Penguatan Ketahanan Energi Nasional

A number of government policies to accelerate the use of electric vehicles are outlined in a number of statutory provisions. The legal umbrella for the use of electric vehicles was first outlined in Presidential Regulation Number 55 of 2019 concerning the Acceleration of the Battery-Based Electric Motorized Vehicle Program. Based on the background above, researchers are very interested in studying: 1) How are electric vehicles currently regulated in Indonesia? and 2) What is the ideal arrangement for electric vehicles to strengthen sustainable energy security in Indonesia? The type of research used in this research is normative legal research. The legal material analysis technique applied in this research involves describing what is the problem, explaining the problem (explanation), examining the problem (evaluation) and providing arguments from the results of the evaluation. The regulation of electric vehicles in Indonesia is currently regulated in Presidential Decree No. 55 of 2019, which is the initial regulation that became the legal umbrella for Indonesian electric vehicles, then derivatives such as PP No. 73 of 2019 which regulates the imposition of Sales Tax on Luxury Goods (PPnBM). Regulation of electric vehicles is ideal in strengthening sustainable energy security in Indonesia by advancing and regulating the biofuel industry, lithium battery industry and electric vehicles. In the future, the government can target public transportation vehicles to switch to using electric power with batteries.

Exploring Policy Interventions to Support the Introduction of Autonomous Vehicles in Indonesia

This paper aims to analyze policy interventions regarding the implementation of autonomous vehicles (AV) in Indonesia. The research takes place in Jakarta due to its unique characteristics and status as one of the most congested cities in the world. The paper employs the qualitative approach to understand policy intervention for AV implementation. The methods used in this research are the combination of Focus Group Discussions (FGDs) and Semi-Structured Interview. This research elaborates that AV implementation in Indonesia should come in the form of AV buses in the initial stage. Thus, it is necessary in the context of AV buses to construct dedicated lanes, provide onboard stewards, and give government incentives in a way that ensures the adoption's success rate. Furthermore, the thematic analysis of the research also emphasizes several themes in the context of AV implementation, such as implementation, accessibility, regulatory framework, sustainability, local characteristics, and annotation. These themes could provide a comprehensive understanding related to the policy intervention that should be taken by the Indonesian government regarding the AV implementation in Indonesia.

SENTIMENT ANALYSIS OF ELECTRIC CAR PRODUCT TRENDS IN INDONESIA USING BM25 AND K-NEAREST NEIGHBOR

The global and Indonesian shift towards electric vehicles (EVs) is driven by efforts to reduce emissions and promote sustainable energy. Social media, especially Twitter, functions as an important measuring tool regarding public sentiment towards electric vehicles in Indonesia, so that it can influence policy making. This research uses the BM25 and K-Nearest Neighbor (KNN) methods to analyze sentiment, which aims to improve EV adoption strategies. Conducted in 2023, this research applies data mining, specifically Knowledge Discovery and Data Mining (KDD), analyzing primary and secondary data descriptively and quantitatively starting with data collection from Twitter, followed by data crawling and initial text processing. Next, labeling, term frequency (TF) and inverse document frequency (IDF) calculations were carried out using the BM25 and KNN methods, with an Evaluation and Validation Diagram that visualized the process. The findings show that negative sentiment dominates at 48% (4800 data), followed by 34% (3400 data) neutral sentiment and 18% (1800 data) positive sentiment. The balanced distribution of sentiment highlights the diverse perceptions of society. BM25 and KNN pre-processing methods effectively reduce overfitting and underfitting, especially in negative and neutral sentiments. Accuracy testing without BM25 resulted in 58.6% to 60.25%, while integrating BM25 with KNN increased accuracy by 12.5% to 71% to 72.75%. Understanding sentiment provides a basis for decision making and policy development, as well as providing insight into public perceptions of electric vehicles in Indonesia. Implications include leveraging positive sentiment for marketing, adjusting strategies, refining pricing, addressing infrastructure and reliability issues, and collaborating with governments to increase adoption of electric vehicles in society.

The Role of Country Origin and Product Knowledge in Wuling Electric Car Purchase Decision in Indonesia

In today's competitive marketing landscape, understanding factors influencing consumer purchase decisions is crucial. This study examines the impact of country-of-origin image and product knowledge on the purchasing decisions for Wuling electric vehicles in Indonesia. Employing a descriptive quantitative approach with a sample of 104 respondents, the research uses literature reviews and questionnaires to gather data. Multiple linear regression analysis reveals that both country-of-origin image and product knowledge significantly affect purchasing decisions, with positive coefficients indicating their substantial influence. Specifically, a favorable perception of China's technological advancements and product quality, alongside strong product knowledge, plays a vital role in shaping consumer choices. The findings suggest that Wuling should focus on enhancing its country image and leveraging social media to increase brand awareness. Future research could expand to include additional variables and countries for a broader understanding of purchase decision factors

Challenges of electric vehicle adoption in Indonesia: Revealing the hidden factors affecting purchase intention

Purpose – Recently, electric vehicles (EVs) have seen significant development worldwide. Indonesia has responded by implementing various policies to support the adoption of EVs, which are touted as the future environmentally friendly transportation solution. However, in Indonesia, the purchase intention for EVs still needs to reach expectations, reaching only 14,93% of the target in 2023. This study analyzes the antecedents of benefit factors determining the intention to buy an electric vehicle. This study will fill the gap in earlier research by comprehensively examining the factors that influence EV purchase intention in Indonesia.Design/methodology/approach – This study will fill the gap in earlier research by comprehensively analyzing the factors that influence EV purchase intention in Indonesia. This study will empirically examine the relationship between perceived usefulness, perceived ease of use, perceived risk, EV knowledge, public involvement, and purchase intention, as well as the antecedents of perceived usefulness, perceived ease of use, and perceived risk. This study uses a quantitative method with a survey design to gain an in-depth understanding of the factors influencing the purchase intention of electric vehicles in Indonesia. The survey involved 957 potential electric vehicle users in Indonesia who have never bought an EV but have sufficient interest and knowledge about EVs. The research instrument was a validity and reliability-tested questionnaire used to collect accurate and consistent data.Findings – This study found that although respondents had strong perceptions of the benefits of electric vehicles (perceived usefulness), this did not automatically lead to high purchase intentions. Another surprising finding was that perceived risk also did not directly affect purchase intention. This suggests the presence of other factors inhibiting purchase intention, which need to be identified and addressed.Research limitations/implications – This research contributes significantly to the literature on adopting electric vehicles (EVs). Perceived ease of use has a positive effect on purchase intention. The results of this study indicate that perceived ease of use does not significantly affect the purchase intention of electric vehicles.Practical implications – The findings of this study provide several practical implications for electric vehicle manufacturers, marketers, and policy makers.Originality/value – This research offers a comprehensive approach to understanding the factors that influence electric vehicle (EV) purchasing interest in Indonesia, by including previously overlooked variables such as risk perception, public involvement, and knowledge about EVs. Additionally, this research focuses on the Indonesian context, providing valuable insights into the unique challenges and opportunities in EV adoption in the country, which can form the basis for strategies and policies to promote sustainable transportation.

Pengaruh Persentase Minyak Kayu Putih Dan Nilai Oktan Bahan Bakar Terhadap Getaran Mesin Dan Emisi Gas Buang

Vehicles in Indonesia continue to increase every year which has an impact on fuel consumption and air pollution. Vehicle gas emissions are the biggest contributor to air pollution. This research method uses experiments with gas analyzers and vibration meters. Variations in octane values ​​of 90 and 92 with mixture percentages of 10%, 18%, 22% at 2000 to 5000 rpm. Test results were analyzed using two-way ANOVA. The research results showed that at RON 90 there was a change in CO and HC with the best percentage, in the 18% mixture the CO was 0.29% and HC 96ppm compared to the 10% and 22% mixture. At RON 92 there was a change in CO and HC at the best percentage, namely a mixture of 18%, data obtained for CO was 0.19% and HC was 62 ppm. So the reduction in CO and HC levels occurs in the ideal mixture by 18% at RON 90 and 92.

Living Greener Using EV/EM: A Review Study in Indonesia

The adoption of electric vehicles (EVs) in Indonesia is a pivotal step toward achieving environmental sustainability and fostering a green economy. This paper provides a comprehensive review of the development of electric vehicles in Indonesia, focusing on their role in promoting environmental sustainability. Through bibliometric analysis, this study examines key themes in the literature, identifies research trends, and explores factors influencing consumer purchase intentions. Our findings highlight the progress and challenges in the Indonesian EV sector and provide insights for policy-making and future research.

Integration of YOLOv5 Algorithm and OpenCV in Innovative Smart Parking Management Approach

The problem of automatic parking lot identification and vehicle detection in open areas is becoming increasingly important due to the increase in the number of vehicles in Indonesia, particularly in big cities, resulting in difficulties in finding parking spaces during peak hours. In this condition, drivers often have to compete for parking spaces. This research aims to develop a smart parking system that integrates YOLOv5 and OpenCV algorithms. This approach thoroughly combines both algorithms to identify parking spaces and detect vehicles in real time in various parking scenarios. It is carried out in an open area with reference to parking conditions at the BRIN Bandung office. This study collected data from three different parking lot conditions, namely empty, partially occupied, and full. In each condition, the system successfully detected the parking lots and vehicles accurately. The novel contribution of this research is the development of a smart parking system that uses an integrated approach, providing an effective solution to the challenges of parking lot availability and vehicle detection. Using the advantages of both algorithms, we successfully created a system that can identify parking spaces and detect vehicles accurately and efficiently under various parking circumstances. Therefore, this research makes a significant contribution to the development of smart and adaptive parking management technology.

Pelatihan Singkat Servis Motor Bagi Siswa SMA Islam As Saadah Setu Tangerang Selatan

Motorized vehicles, especially motorbikes, have now become daily necessities, no longer classified as luxury goods. Due to the high level of need, almost every family has one motorbike, maybe even more than one. Motor vehicles are simple forms of transportation, can be driven in residential areas, both urban and rural, and the operational costs are relatively affordable for most groups. Current developments in motorbike design allow riders from young to old. Data shows that demand and use of motorbikes continues to increase. According to the Central Statistics Agency (BPS), in 2022 the number of vehicles in Indonesia will reach 148,212,865. The number of private vehicles in Indonesia is still dominated by motorbikes with a figure of 125,267,349 units (almost 85% of which are dominated by motorbikes). With the rapid increase in the number of motorized vehicles, many workshops and repairs have emerged, both large and small, official and unofficial workshops. The problems that arise are due to busyness, laziness or lack of knowledge and skills, so motorbike servicing is carried out at a repair shop. Especially for young people and students, who only like riding motorbikes, don't care about the condition of the motorbike, and don't learn how to service it even to repair minor damage. This will benefit the workshop. In fact, you should be able to save money if you can repair it yourself. It can even be detrimental if it is serviced by an irresponsible illegal workshop. From the results of surveys and observations at the Assa'adah Islamic Boarding School, South Tangerang, almost all students are unable to service their motorbikes themselves. Therefore, the team of Mechanical Engineering Lecturers at Pamulang University offers motorbike service training for students with the aim of giving them knowledge and skills in servicing motorbikes. Armed with this knowledge and skills, it is hoped that motorbike maintenance and if damage occurs, you can do it yourself, you don't need to take it to a repair shop. At least with this knowledge and skills, you can save financial expenses, and even the knowledge and skills obtained can become provisions for opening a motorbike service business in the future. The training offered is packaged in the form of Community Service (PKM) as one of the elements of the Tridharma of Higher Education. A short training method will be given in theory about motorbike service and maintenance, and practical motorbike service and maintenance will be carried out.

Design and Economic Analysis of a Solar-Powered Charging Station for Personal Electric Vehicles in Indonesia

Design and Economic Analysis of a Solar-Powered Charging Station for Personal Electric Vehicles in Indonesia

Intelligent Traffic Light Time Cycle Simulation Model using Fuzzy Mamdani

The growth of motorized vehicles in Indonesia has increased significantly. According to data from the Central Bureau of Statistics, the number of motorized vehicles in Indonesia has increased by around 10% each year in the last five years. One of the negative impacts of the increasing number of motorized vehicles is traffic congestion. Traffic congestion has become a serious problem in several cities in Indonesia. One of the causes is the increase in the number of vehicles at road intersections, which has an impact on congestion and the safety of road users. The rapid growth in the number of vehicles requires a more comprehensive strategy to reduce congestion and accidents at road intersections. Therefore, the need for Intelligent Transportation System, especially on the time-cycle configuration of intelligent red light is very important. This research aims to model the time-cycle of the red light using the Mamdani Fuzzy Inference System to simulate the green light time configuration so as to reduce the waiting time of road users at highway intersections. The simulation results show that the time-cycle configuration and green light time length of the Mamdani Fuzzy calculation are more varied relative to the number of vehicles. The values are relatively smaller than 6 to 54 seconds from the time configuration set by the local Department of Transportation. This shows a time efficiency for road users of up to 27%, which means that road users can complete trips 6 to 13 seconds faster.

RANCANG BANGUN SISTEM MONITORING STASIUN PENGISIAN LISTRIK UMUM (SPLU) HYBRID BERBASIS IOT DI SMKN 2 KOTA BEKASI

This research is motivated by the development of electric vehicles in Indonesia which is regulated in Presidential Regulation Number 55 of 2019 which encourages the use of electric vehicles. Therefore, the development of electric vehicles began to increase every year. Along with the development of electric vehicles, it must also be followed by the development of charging stations. This research focuses more on developing a Hybrid public electric charging station (SPLU) monitoring system to create a Hybrid SPLU monitoring system that can be accessed easily anytime and anywhere in real-time and is IoT-based. For the Hybrid SPLU monitoring system to work well, the data results from sensor readings can be monitored in real-time and IoT-based. Then the data from this study has been compared (calibration) with existing measuring instruments with the average error of each sensor being no more than 5% and the Mean Absolute Percentage Error (MAPE) not more than 10%. From the existing provisions, if the MAPE value is <10%, the data can be said to be very accurate. So it can be concluded that this research can be said to be successful because it has fulfilled the initial objectives of this research.

Determining The Location of Charging Station Facilities in Surakarta City Using Gravity Location Models

Environmental problems caused by motorized vehicles are in the spotlight in the modern era. Various methods have been taken to reduce the environmental impact caused by motorized vehicles. One way to reduce the negative environmental impacts caused by motorized vehicles is to use environmentally friendly vehicles, namely electric vehicles. Presidential Regulation No. 55 of 2019 encourages the electrification of motorized vehicles in Indonesia. To support these regulations, there needs to be infrastructure for the smooth and easy use of electric vehicles. This research aims to determine the optimal charging station location in the city of Surakarta using gravity location models to support the implementation of the government program for vehicle electrification. Based on the calculations carried out, Banjarsari is the optimal point for the location of the charging station.

Analysis of PT PLN's Innovative Strategy in Supporting Electric Vehicles in Indonesia

Global transformation towards sustainable mobility, the electric vehicle (EV) industry plays an important role in creating a cleaner and environmentally friendly future with the journey towards sustainable mobility, PT PLN (Persero) plays an important role in supporting the electric vehicle ecosystem in Indonesia. With more than a thousand Public Electric Vehicle Charging Stations (SPKLU) operating by the end of 2023, PT PLN confirms its commitment to accelerate the transition to clean mobility. However, technical challenges, change management, and organizational culture are obstacles that must be overcome. This research method uses a qualitative approach to understand PT PLN's strategy in supporting the electric vehicle ecosystem in Indonesia. PT PLN's strategy in supporting clean mobility includes infrastructure development, strategic partnerships, home charging installation initiatives, and the application of digital technology. Through holistic analysis, it highlights the importance of effective change management and an inclusive organizational culture. The results of this research provide insight into best practices in supporting the electric vehicle ecosystem and provide input for designing more effective policies. By continuing to strengthen infrastructure, develop partnerships, empower communities, technological innovation and good change management, PT PLN can strengthen its role as a leader in clean mobility and contribute to global sustainable development goals.

ANALISIS SPESIFIKASI TEKNIS SISTEM PENGEMUDIAN ELEKTRIK PADA KENDARAAN LISTRIK BERBASIS BATERAI KOMERSIAL POPULER

The increase in the number of motor vehicles in Indonesia has elevated the negative impact on the environment, both in terms of air pollution and global warming. According to the Ministry of Transportation (Kemhub), the number of motor vehicles in Indonesia reached 141.99 million units in 2021. The electrification of motor vehicles is one of the solutions to reduce emissions from the motor vehicle sector. This is supported by Presidential Regulation No. 55/2019 to stimulate the growth of the national battery-based electric vehicle (BEV) industry. This paper reviews battery-based electric vehicle (BEV) technology worldwide, especially four-wheeled vehicles with a high total population. The research was conducted through online surveys in 2023 using international data sources and the Association of Indonesian Automotive Industries (GAIKINDO), resulting in a database of 33 battery-based electric vehicles. From this database, it was found that the majority of electric cars purchased by the public are hatchback and sport utility vehicle (SUV) types. In terms of electric drive systems, the power capacity range of electric motors used by these vehicles is between 20 - 150 kW for hatchbacks and 100 - 406 kW for SUVs. The most commonly used electric motor type, constituting about 64%, is the Permanent Magnet Synchronous Motor (PMSM). About 70% of these vehicles use lithium-ion battery technology. The technical specifications of these popular electric cars are expected to assist stakeholders in quickly understanding the technical specifications of electric drive systems in battery-based electric vehicles, serving as a benchmark for designing electric cars suitable to meet domestic needs.

Elevating vehicle inspection quality through knowledge: unlocking excellence

This study analyses work performance factors, the ability to master work and work tools, and knowledge of the quality of work results of competent civil servants (PNS) in regularly inspecting motor vehicles in Indonesia. This study aims to determine knowledge as a mediating variable in the influence of work performance and the ability to master work and work tools on the quality of work results and its improvement strategy. The study's sample size was 180 people, and the total population was statistical test research using descriptive statistics with structural equation models using PLS-SEM. The study's results found that work performance and the ability to master work and tools did not directly affect the quality of work results. However, the mediation of variables of work performance knowledge and the ability to master work and work tools had a positive and significant effect on the quality of work results. Knowledge directly affects the quality of the results of work. The variables of work performance and the ability to master work and work tools directly affect understanding. Researchers suggest future research look for variable indicators of work performance, the ability to master work and tools, and learning to affect the quality of work results directly or indirectly.

Reviewing regulations and stakeholder perceptions of ride-sharing technical requirements in Indonesia

In Indonesia, the Application-Based Taxis (ABT) operators argue that they are not required to undergo periodic testing, unlike in other countries. This research aims to address this issue by conducting a qualitative study using three approaches: regulatory review, comparison of policies from other countries, and in-depth interviews with ABT company officials and 100 drivers. The study found that 41% of drivers refused to follow the regulation, citing financial burdens. The study proposes that ABT vehicles undergo periodical testing for four years, repeated annually, similar to other countries. Random inspections of ABT vehicles on the road are also recommended to increase awareness of vehicle maintenance, with a focus on tire and brake condition. This study aims to improve the roadworthiness of ABT vehicles in Indonesia.

Does The BBN KB Incentive Policy Increase Ownership Of Battery-Based Electric Vehicles? Indonesia Case Study

Indonesia's commitment by 2060 is to reduce greenhouse gas emissions and realize net zero emissions. The transition of electric vehicles in the transportation sector with renewable energy is a solution to reduce emissions. However, the ownership rate of battery-based electric vehicles in Indonesia is still low. This study empirically discusses the effect of the BBN KB incentive policy designed to encourage ownership of battery-based electric vehicles in Indonesia. To determine the effect of the BBN KB incentive policy on battery-based electric vehicle ownership, a Moderated Regression Analysis (MRA) panel data analysis with Pooled Ordinary Least Square (POLS) estimation technique is used using secondary data from 34 provinces in Indonesia from 2019-2022. The results of the analysis found that the BBN KB incentive policy has a significant effect on increasing ownership of electric vehicles, especially battery-based electric cars in Indonesia. The factors of the number of charging infrastructure (SPKLU), consumer awareness, fuel prices and open unemployment rates have a significant influence on ownership of battery-based electric motorized vehicles. Analysis on the island of Java explains that there is a significant effect on increasing ownership of battery-based electric car vehicles after the policy is implemented, while on non-Java island the BBN KB incentive policy shows an insignificant impact on increasing ownership of battery-based electric vehicles, especially 4-wheelers.

EFFECT OF CYLINDER HEAD GASKET ADDITION AND VARYING OCTANE NUMBER GASOLINE TO INTERNAL COMBUSTION ENGINE PERFORMANCE

The aim of this research was to investigate the different impacts of compression pressure on power and torque outputs using gasoline RON 92, RON 95, and RON 100. The study involved experiments using a single-cylinder motorcycle engine with a capacity of 125 cm. The selection of this type of engine is based on the popularity of vehicles in Indonesia that use a single-cylinder engine with a capacity of 125 cm. To modify the compression pressure, variations in the number of gaskets were applied to the cylinder head, with quantities of 1 and 3 gaskets. Dynamometer tests were conducted to measure the engine's performance differences. Throughout the testing, the settings for the main jet, pilot jet, and the number of idle screw rotations on the carburetor remain constant. The findings indicate that the engine with the highest compression pressure of 11.8 Kg/cm, using RON 100 gasoline, produces the highest power output at 7.9 kW, with the highest torque at 10 Nm.