International Journal of Science, Technology & Management (IJSTM)
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The Impact of a Merger on Changes in Organizational Culture: A Systematic Literature Review
No full textThis systematic literature review aims to assess the impact of changes in organizational culture within companies undergoing mergers. The methodology involved an extensive search and selection of peer-reviewed articles published between 2017 and 2023. The research process included gathering information through detailed interviews with employees directly involved in the merger process and analyzing company documents. The study identifies several effects of changes in organizational culture during mergers, such as feelings of uncertainty, concerns about losing corporate identity, and challenges in integrating different cultures. However, it also indicates that mergers can create synergy and long-term benefits if the new organizational culture is successfully integrated. Through empirical analysis, this research uncovers the characteristics, values, and norms that define post-merger organizational culture. It contributes not only to the academic understanding of organizational behavior and change but also offers valuable insights for practitioners in the telecommunications industry who face the complexities of post-merger integration
The Influence Of Brand Experience And Brand Image On Brand Loyalty With Brand Trust As A Mediation Variable (Case Study Of FCL Modest In Pekanbaru City)
No full textFamys Circle Label (FCL) is a modest fashion brand that offers thousands of articles from well-known local modest brands in Indonesia and is the only brand in Pekanbaru, giving it a strong competitive edge in the modest fashion market due to its ability to attract a variety of customer groups with diverse tastes and fashion styles. This study aims to examine the effect of brand experience and brand image on brand loyalty, with brand trust as a mediating variable.The research uses a quantitative method with a descriptive approach to illustrate the characteristics of a group, such as the characteristics of users or products, estimate product users' characteristics, and understand users' perceptions of a product. The study uses non-probability sampling, with 384 respondents who are FCL consumers. The data was processed and analyzed using Structural Equation Modeling (SEM) with SmartPLS3 software.The study results show a partial positive and significant effect of brand experience and brand image on brand loyalty and brand trust. Simultaneous testing also showed the same results, where the independent variables had a positive and significant effect on the dependent variable, brand loyalty, mediated by the intervening variable brand trust among FCL consumers in Pekanbaru City
Will The Income Of Womenpreneurs, Family Size, Husband's Income, Wife's Income, And Children's Income Affect Family Economic Improvement: An Islamic Economic Perspective?
No full textThis study aims to explore whether the income of womenpreneurs, family size, husband's income, wife's income, and children's income influence the improvement of family economics from an Islamic economic perspective. It is also hoped that the research can provide recommendations for women to understand and consider Islamic economic principles before deciding to become womenpreneurs and for husbands to consider Islamic Sharia principles when giving permission to wives and children to work. The research method used is quantitative, with a population of 1,898 people and a sample of 95 people obtained through the distribution of questionnaires. The results of the study show that: a) Womenpreneur income has an impact on improving family economics in Dompu Regency from an Islamic economic perspective; b) Family size influences family economic improvement in Dompu Regency from an Islamic economic perspective; c) Husband's income affects family economic improvement in Dompu Regency from an Islamic economic perspective; d) Wife's income contributes to family economic improvement in Dompu Regency from an Islamic economic perspective;e) Children's income has an impact on family economic improvement in Dompu Regency from an Islamic economic perspective
Analysis Of Glass Ceiling And Sustainable Business Optimization For Women Entrepreneurial Careers
No full textThese study reports the comprehensive study about rebuilt the business resilience is very important to achieve the rise industry, with women entrepreneurs because of their important role in the rising of national economy. Most business organizations in Indonesia have experienced disruption caused by the covid-19 pandemic, not a few have ended up bankrupt and unable to survive. For this reason, businesswomen need to manage marketing activities with adaptation and flexible innovation in accordance with the potential of MSMEs through current agile business and marketing strategy. This research aims to formulate a framework for business revival after a crisis such as Covid-19. It is hoped that this research can provide input regarding effective procedures for business organizations in dealing with business disruption for women business owners. This research aims to formulate a framework for business women entrepreneurs’ revival during and after a crisis like covid-19 with qualitative method. A qualitative descriptive approach was used in this research to obtain an overview of the situation experienced by MSMEs. The data collection methods used were interviews, observation, and documentation, using a purposive sampling method in selecting research sources. Source triangulation and technique triangulation methods were used in this research to ensure data validity. The data source for this research is 10 female business MSME owners in Tangerang Banten Indonesia. The results of this research show that agile, adaptation, and innovation, can be used as solutions to deal with business disruption and solutions in business optimizatio
Utilization Of Air Pollution As An Alternative For Growing Galah Shrimp (Macrobracium rosenbergii) In The Minapadi System Hydroganic
No full textThis research aims to increase farmers' income with high rice productivity and increase shrimp production. The method used was a Completely Randomized Design (CRD) experiment with 3 treatments and 4 replications. The treatments are: P1 (air pollution made from jengkol), P2 (air pollution made from noni), and P3 (air pollution made from garlic). This research was carried out for 100 days in the Teuku Umar University campus area using budikdamber aquaponics. The parameters observed were shrimp growth and survival. The research results showed that the best treatment was P2 which produced an average growth value for giant prawns of 3.42 g/ fish. From the results of this research, the application of air pollution with giant prawns has a positive impact on the observed parameters (P <0.05) and provides benefits for farmers
Anomaly Detection In IoT Sensor Data Using Machine Learning Techniques For Predictive Maintenance In Smart Grids
No full textThe proliferation of Internet of Things (IoT) devices in the smart grid infrastructure has enabled the generation of massive amounts of sensor data. This wealth of data presents an opportunity to implement sophisticated data analytics techniques for predictive maintenance in smart grids. Anomaly detection using machine learning algorithms has emerged as a promising approach to identifying irregular patterns and deviations in sensor data, leading to proactive maintenance strategies. This article explores theapplication of machine learning techniques for anomaly detection in IoT sensor data to enable predictive maintenance in smart grids. We delve into various machine learning algorithms, including Isolation Forest, One-Class SVM, Autoencoders, and Random Forest, assessing their capabilities in identifying anomalies in large-scale data streams. The study also reviews the Performance Evaluation and Model Selection techniques for Anomaly Detection in IoT Sensor Data, possible integration and deployment challenges, and critique of the few selected studies. Explicitly, this scholarly inquiry questions the profound significance of predictive maintenance within the context of Smart Grids. It elucidates distinct categories of anomalies inherent within IoT Sensor Data.Furthermore, the article expounds upon various classes of Machine Learning Algorithms while also clarifying the criteria employed for their selection. Notably, the study probes the potential hindrances that could emerge during the deployment and integration of Machine Learning Techniques specifically aimed at Anomaly Detection in IoT Sensor Data. In addition, the research sheds light on the aspects that might have been inadvertently overlooked within the existing corpus of literature
Three Phase Series Active Power Filter Based Adaptive Linear Neuron (ADALINE) to overcome voltage harmonics in power systems
Get PDFVoltage harmonics in the power system can interfere with the work of equipment and reduce the quality of electrical power. This is overcome by using a Series Active Power Filter which is a three-phase Voltage Source Inverter (VSI). The artificial neural network compensation method is used as the control circuit of the Series Active Power Filter to generate a reference voltage from the harmonic distorted and unbalanced source voltage. The artificial neural network determines the amplitude of the sine and cosine components of the reference voltage. Computer simulation results show that the three-phase Series Active Power Filter with artificial neural network compensation method is effectively able to remove harmonics and produce a sinusoidal and balanced three-phase voltage that will be received by the load.
The Influence Of Celebrity Endorsement, Brand Equity, And Features Services On Purchasing Decisions
Get PDFThe purpose of this research is to determine the influence of Celebrity Endorsement, Brand Equity, and Features Services on purchasing decisions (Study on TikTok Shop during January-March). Celebrity Endorsement, Brand Equity, and Features Services are the independent variables of this research. Purchase decision is the dependent variable. The Tiktok Shop application was used from 2021–2023 for this research. This research uses quantitative methods with primary data and data collection using questionnaires. This research analyzes data using multiple linear regression analysis.The partial test results show that (1) celebrity endorsements do not have a significant effect on purchasing decisions with a calculated value of tcount< ttable (0.045< 2.028) and a sig value.0.964 > 0.05 (2)brand equityhas a significant positive effect on purchasing decisions with tcount > ttable (2.206 > 2.028) and sig. 0.034 < 0.05 (3) feature services have a significant negative effect on purchasing decisions with tcount<ttable (0.927<2.028) and sig. 0.360 < 0.05. Meanwhile, the results of the simultaneous test show that Celebrity Endorsement, Brand Equity, and Features Services do not have a significant effect on purchasing decisions with valueFcount<Ftable (1.872 < 2.866) and sig value. (0.152>0.05)
Exploring the Influence of Viewers Engagement in Live Shopping: A Study on the Impact of Skepticism and Perceived Emotional Value on Purchase Intention
Get PDFThe primary aim of this study is to investigate how viewer engagement during live streaming shopping impacts consumer skepticism, perceived emotional value, and purchase intention. Utilizing the Structural Equation Modeling (SEM) Partial Least Squares (PLS) method, we analyzed survey data gathered from consumers actively involved in the live streaming e-commerce scene in Indonesia. .The research findings indicate significant support for the proposed hypotheses. Viewer engagement is proven to have a positive impact on consumer skepticism levels and significantly contributes to the enhancement of perceived emotional value. However, interesting findings emerge when consumer skepticism levels do not significantly influence their purchase intentions. On the contrary, perceived emotional value has a significant positive impact on purchase intention. Practical implications of this research involve expanding marketing strategies that focus on increasing viewer engagement and providing strong emotional value to encourage consumer purchase intentions during live streaming shopping sessions. This research contributes to the understanding of consumer dynamics in the context of live streaming e-commerce and provides guidance for companies to optimize customer interactions and sales outcomes
Green Vehicles For Sustanability In Support For Smart City Development
Get PDFGreen vehicles are vehicles that produce less harmful impacts to the environment than vehicles that use conventional internal combustion comparable to gasoline or diesel, or that use certain alternative fuels. Green vehicles consist of electric, hydrogen and hybrid. Where this green vehicle will help develop and advance smart cities. This research aims to Support the sustainability of Smart City Development and provide Innovation to research and develop green vehicles that are low emission and Dependent on renewable energy or renewable energy. This research was carried out by qualitative methods. By focusing on the sustainability of green vehicles to support smart cities