International Journal of Science, Technology & Management (IJSTM)
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Factors That Influence Public Intention To Install Home Charging : The Perspective Of Public Who See And Know About The Electrifyinglifestyle Campaign Electric Vehicle Through Social Media
No full textElectricity is a fundamental necessity in modern life, and the transition toward the use of environmentally friendly energy has become a global priority to achieve Net Zero Emissions (NZE). The Indonesian government has targeted NZE by 2060, with PLN as the primary actor in supporting energy transition programs such as Electrifying Lifestyle and the development of electric vehicle infrastructure. One significant finding from the Electrifying Lifestyle campaign related to electric vehicles is the remarkable surge in home charging adoption, which recorded a 335% increase in the first semester of 2024 compared to the same period in the previous year. This study aims to analyze the factors influencing public intention to install home charging, particularly through the perspective of the Electrifying Lifestyle campaign on social media. Using the Theory of Planned Behavior, this research explores the influence of variables such as product knowledge, environmental concern, ecological lifestyle, perceived benefits, innovation, and optimism on consumer attitudes, as well as the role of digital campaign effectiveness on brand awareness and purchase intention. The research findings show that respondents' answers for each variable—including consumer attitude, social media marketing, brand awareness, and purchase intention—fall into the good category. Consumer attitude is significantly influenced by product knowledge, environmental concern, ecological lifestyle, perceived benefits, technological innovativeness, and technological optimism. Consumer attitude also has a significant positive effect on purchase intention but is negatively moderated by perceived consumer effectiveness. Additionally, social media marketing has a significant positive effect on both brand awareness and purchase intention, and brand awareness also significantly influences purchase intention. These findings emphasize the importance of digital marketing strategies and strengthening the perceived benefits of technology in promoting the adoption of home charging to support increased environmentally friendly electricity consumption and accelerate the achievement of NZE targets in Indonesia
Implementation of Deep Learning Models in Conducting Aspect-Based Sentiment Analysis
No full textThe increasing volume of consumer reviews on e-commerce platforms has highlighted the need for sentiment analysis methods capable of capturing user opinions more specifically concerning particular aspects of products or services. Aspect-Based Sentiment Analysis (ABSA) addresses this need by identifying the aspects discussed in a review and determining the polarity of sentiment expressed toward each aspect. This study aims to explore and compare the effectiveness of two deep learning models, namely Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) in performing ABSA on Indonesian-language e-commerce user reviews. The research methodology comprises several stages: data exploration and cleaning, text preprocessing, aspect and sentiment annotation, training of CNN and LSTM models, and performance evaluation using metrics such as accuracy, precision, recall, and F1-score. The dataset is divided into training, validation, and testing subsets. The analyzed aspects include delivery, product, price, application, and service. Results show that the LSTM model outperforms CNN across all evaluation metrics. LSTM achieved an accuracy of 86.10%, precision of 85.70%, recall of 85.90%, and an F1-score of 85.80%, while CNN reported slightly lower values. Based on these findings, LSTM proves to be more effective in understanding the contextual and linguistic structure of the Indonesian language in ABSA tasks. This study provides a valuable contribution to the development of automatic sentiment analysis systems in the e-commerce sector. Future research can expand this approach by incorporating transformer-based models such as IndoBERT or integrating attention mechanisms to further improve predictive accuracy. These findings offer practical insights for industry stakeholders seeking to enhance customer experience through a deeper understanding of user sentiment
The Role of Marketing Skills for Local Products and Entrepreneurial Innovation in SME Performance
No full textMicro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economic development, yet many still face challenges in improving their performance lately in three years. This study aims to analyze the influence of entrepreneurial marketing, innovation capability, and purchase decision on the performance of MSMEs, with a case study on the local bag product brand Jims Honey in the Jabodetabek area. A quantitative approach was used, employing a survey method with 100 MSME respondents. Data were analyzed using SmartPLS 4.0 through Partial Least Squares (PLS) and Structural Equation Modeling (SEM) for testing hypotheses 1 to 4, and multiple linear regression for hypothesis 5. The results show that entrepreneurial marketing and purchase decisions have a positive and significant effect on MSME performance. In contrast, innovation capability has a negative and significant effect. Among the three variables, the purchase decision has the most dominant influence. Simultaneously, all three variables significantly affect MSME performance. The study concludes that MSME success is more strongly influenced by effective marketing strategies and consumer trust, while innovative efforts need to be more aligned with market needs. The findings suggest that MSME owners should refine their promotional strategies, enhance service quality, and implement targeted innovation to achieve improved business performance
The Impact of Utilitarian, Hedonic, and Social Value on Purchase Intention through Customer Trust in Live Streaming: A Study of Wardah Beauty Products on TikTok
No full textThis study examines the relationships between utilitarian value, hedonic value, social value, trust in product, trust in platform, and purchase intention in the context of Wardah beauty products on TikTok live streaming. Using Structural Equation Model (SEM) with SmartPLS on 384 respondents, the research found that social value demonstrates the strongest influence on purchase intention (? = 0.368), followed by utilitarian value (? = 0.188) and hedonic value (? = 0.105). Notably, trust in platform significantly influences purchase intention (? = 0.171, p = 0.001), while trust in product does not (p = 0.810). The model explains 62.8% of purchase intention variance with strong predictive relevance (Q² = 0.420). Results indicate that social interactions and platform trust are more crucial than product-specific trust in driving consumer purchase decisions in live streaming commerce. These findings suggest that beauty brands should prioritise social engagement and platform reliability over traditional product-focused marketing strategies
CEO Psychological Characteristics And Sustainability Report Disclosure In Indonesia
No full textThis study aims to test the upper echelon theory by examining how CEO narcissism and optimism affect sustainability report disclosure. This study uses panel data regression with Eviews 12 on sample data of 238 companies on the Indonesia Stock Exchange (IDX) that published sustainability and annual reports 2021-2023. Frim size, firm age, leverage, and profitability are included as control variables. The results indicate that CEO narcissism negatively influence on sustainability report disclosure while CEO optimism positively influence on sustainability report disclosure. The presence of the firm age control variable changes the findings. CEO characteristics no longer affect sustainability report disclosure after the addition of the company age control variable in the regression model. The results of this study has practical implications for the board of commissioners and shareholders namely the importance of considering psychological aspects, such as narcissistic traits and the level of CEO optimism, when selecting and compiling the structure of the company's board of directors
The Effect Of Online Customer Review And Rating Dimensions On Purchase Intention In Shopee
No full textThis study aims to determine the effect of online customer reviews and online customer ratings on purchase intention partially or simultaneously on shopees. This research is a descriptive study using quantitative methods. This research was conducted from September 2020 to January 2021. The object of this research is Shopee. Data collection was obtained through distributing questionnaires to 400 respondents.The sampling technique using nonprobability sampling is a convenience sampling technique with a population that is all Shopee platform users. Analysis of this data using Multiple Linear Regression. The results of the study indicate that the two variables simultaneously influence higher online customer review participation
Implementation of the K-Means Clustering Method in Clustering Poor Population in Bandar Kumbul Village, Labuhanbatu Regency
No full textPoverty is one of the crucial social problems in rural areas. The problem of poverty in rural areas is increasingly in the spotlight because of its broad impact on the community's economic and social sustainability. The varying levels of poverty require an appropriate analytical approach to design effective intervention programs. In an effort to understand and address this problem, this study uses the K-Means Clustering method to group the poor population. We use K-Means clustering to identify and group hamlets based on their poverty levels. This study aims to categorize the hamlets in Bandar Kumbul Village into multiple clusters according to their poverty levels, thereby identifying which hamlets necessitate more focused attention. The research methods used include collecting data on the number of poor people from 2013 to 2022 in each hamlet, data preprocessing, applying the Elbow method to determine the optimal number of clusters, and applying the K-Means Clustering algorithm to group the hamlets. The results of the study show that there are three main clusters with different characteristics. Cluster 0 includes Hutaimbaru and Mailil Julu hamlets with high poverty levels. Cluster 1 only includes the Pasir Sidimpuan hamlet, which has medium poverty levels. Cluster 2 includes Aek Mardomu, Bandar Kumbul, Mailil Jae, Sidodadi, and Singga Mata hamlets with low poverty levels. Variations in distance from the cluster center indicate significant differences in the distribution of poverty in each hamlet. The K-Means Clustering method is effective in identifying and grouping hamlets based on poverty levels, providing useful insights for the government and stakeholders to design more targeted intervention programs. Clusters with high poverty levels require immediate intervention, while clusters with medium and low poverty levels require maintenance and support to prevent an increase in poverty. This study provides a strong foundation for decision-making and policies to reduce poverty levels in Bandar Kumbul Village more effectively and sustainably
The Influence Of Social Media Marketing On Purchase Intention With E-Wom And Brand Awareness As Intervening Variables On Indibiz Services (Instagram @Indibiz.Id)
No full textThe development of digital technology and social media has changed consumer behavior in making purchases, including business to business marketplaces that can help the business world in Indonesia, especially small and medium enterprises (SMEs) go digital and move up a class, one of which is Indibiz. The presence of Indibiz has not been fully socialized in the MSME community, resulting in a lack of understanding of the added value offered by the product. This study aims to analyze the influence of social media marketing on purchase intention with brand awareness and e-WOM as intervening variables in Indibiz services. This study uses a quantitative approach with data collection techniques through questionnaires. The research sample was active followers of Instagram @indibiz.id totaling 400. Data were analyzed using Structural Equation Modeling PLS. The results of the study showed there is a positive and significant influence between Social Media Marketing on e-WOM, Brand Awareness, and Purchase Intention. There is also a positive and significant influence of e-WOM on Brand Awareness. In addition, e-WOM and Brand Awareness contribute significantly to purchase intention. e-WOM and Brand Awareness also play a role in mediating the relationship. These results emphasize the importance of managing marketing on social media to strengthen relationships with MSMEs and increase purchase intention
The Influence of Customer Satisfaction on Brand Loyalty Trough Brand Love in Samsung Smartphone Users
No full textThis study investigates the impact of customer satisfaction on brand loyalty, with brand love as a mediating factor, among Samsung smartphone users at the University of Darussalam Gontor. In the competitive smartphone market, customer satisfaction alone often falls short in driving brand loyalty, highlighting the critical role of emotional connections like brand love. Using a quantitative approach, data were gathered from 171 respondents through purposive sampling and analyzed using path analysis in SPSS. Findings reveal that customer satisfaction significantly influences brand love but not brand loyalty directly, while brand love strongly impacts brand loyalty and effectively mediates the relationship. The study underscores the importance of brand love in fostering loyalty, offering theoretical insights and practical strategies for companies to strengthen emotional bonds with consumers
The Influence of Product Quality, Price and Exchange Rate towards Export Volume On SME’s Creative Sculpture Industry in Mojokerto
No full textThe aim of carrying out this research is to determine the influence of production concepts, prices and exchange rates on the export volume of the creative sculpture craft industry in Mojokerto, East Java, Indonesia. Research includes research with a quantitative approach. Primary data was collected using a questionnaire during the period February 2025. Based on the data that was collected, the total amount of data that can be used is sixty SME’s. The results show a simultaneous influence, the three independent variables used jointly influence the dependent variable. Partially, it was found that production did not have a significant influence, while international prices and exchange rates had a significant influence. It is hoped that the results of this data processing will have implications for creative sculpture industry producers in Indonesia in general to be able to improve quality in order to increase export volume so that it has a significant impact on economic growth and social welfare