Articles

Considerations in the Adoption of Solar Home System Technology in Indonesia

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The high potential for solar energy in Indonesia has prompted the Ministry of Energy and Mineral Resources of the Republic of Indonesia to aim for solar energy utilization. Unfortunately, since it was planned in 2010, the target has not been achieved due to the low interest of society to purchase and use solar home systems.

Using the Technology-Personal-Environment (TPE) framework, this study aims to identify the factors that are being considered in the adoption of solar home system technology and understand the interest of the Indonesian people in repurchasing it. The data for the study were obtained through in-depth interviews with eight participants.

The study found that most participants do not consider perceived simplicity, but they consider perceived compatibility, regulations, technology support providers, performance expectations, and personal innovation. It was found that trust is also considered by participants. Additionally, they consider Regulations, Need/Urgency, Price, Technology Specifications, and Maintenance in repurchasing solar home systems. A new model proposed which exchange the perceived simplicity from technology context by trust in personal context.

It is recommended that renewable energy companies disseminate information about solar home systems through targeted websites, social media, and advertisements. Moreover, it is recommended that the government enact regulations that can support the use of solar home systems, such as providing incentives, subsidizing its materials, and building domestic factories that can produce the materials. Finally, it is recommended that further studies use other research methods, test new variables, and us the proposed models.

Technology in Training Delivery of Education Management: AI in ELT Approach

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The aim of this research is to describe availability of tablet computers, personal computers, mobile devices and the other technologies offers such as using virtual reality, augmented reality and artificial intelligence can be used in practical English classroom in good strategies for lecturers and to share the knowledge with their students or some trainers. The research employed a descriptive qualitative method on with the communicative approach collaborating AI in ELT. The results show that technology can take offer several existing jobs and could create opportunities which offer new ways to learn, communicate, share, create and collaborate with human beings. Using these technologies, training design and understanding human being preferences are important steps in seeing on technology in training such as e-learning: online training, simulations and games and mobile learning. Computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. In classroom that can be used technology as digital tools for the implications for language classroom. It can be improve the learning with using four skills (reading, listening, speaking, writing) using AI for English language teaching. Here are some recommendations for teachers and lecturers to use the technology and to improve teaching method in English classroom. These technologies as smart machines that think like human with the ability to stimulate intelligence through a process by using computers, smartphones etc. such as Kuki, Elsa, Quillionz, Readlang and many more AI will help students.

The Impact of Airline Responds to Service Failure towards Customers’ Satisfaction and Loyalty in the Airline Industry

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This study explores the relationship between airline responses to service failures and customer’s satisfaction and loyalty in the airline industry. Using a framework that includes various airline response categories derived from a service blueprint such as overbooking, flight delays, cancellations, lost or damaged luggage, in-flight service issues, customer service failures, and security issues, this study investigates the relationship between these factors and customer satisfaction, as well as the resulting impact on customer loyalty. A qualitative approach has been used alongside by using non-probability sampling that will be use in this study includes snowball sampling and convenience sampling. Upon collected data through survey, the result is then being regressed linearly in SPSS. The analysis of data reveals that effective and timely handling of service failures, as well as considerate handling of complaints, play a significant role in determining customer satisfaction. In addition, customer satisfaction influences customer loyalty positively, highlighting the significance of service recovery in nurturing long-term customer relationships. The findings emphasize the need for airlines to prioritize efficient service recovery processes, such as transparent communication and adequate compensation for service failures. Future research recommendations include investigating the role of technology in service recovery efforts and other service failure scenarios. This study contributes to the existing body of knowledge on service recovery in the airline industry and offers insights for marketing strategies to increase customer satisfaction and loyalty.

Analysis of Simpeldesa Application Acceptance Using the UTAUT 2 Modification Method in Cibiru Wetan and Pangandaran Villages

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This study aims to analyse the effect of performance expectancy, effort expectancy, social influence, habit, and trust on behavioral intention and the effect of facilitating conditions, behavioral intention, and habit on adoption behavior in using Simpeldesa. This variable is a variable derived from the Modified UTAUT 2 Model. Simpeldesa is a digital platform the village government uses with digitization features covering governance, social governance, and commerce processes.

This study uses quantitative research methods with conclusive or causal research types. This research survey used questionnaires with 268 respondents from early adopter users of the Simpeldesa application from the Cibiru Wetan and Pangandaran villages.

The findings from this study are that effort expectancy, social influence, facilitating conditions, and habits significantly affect behavioral intention. Facilitating conditions, habits, and behavioral intentions significantly affect the Simpeldesa application’s adoption behavior. The independent variable with the most significant influence is facilitating condition on behavioral intention, with a t-statistic value of 5.203 and a p-value of 0.000.