Sustainable consumption has become a global priority, yet the factors that encourage people to adopt environmentally friendly purchasing behavior differ across cultures and technologies. This study explores how environmental knowledge, environmental attitude, and the perception of AI-driven personalization influence green purchasing intention and actual purchasing behavior among young consumers in Java, Indonesia. A survey of 517 university students was conducted, and the relationships among these factors were analyzed using structural equation modeling. The findings reveal that environmental knowledge strongly shapes environmental attitudes, which in turn enhance the intention and behavior to purchase green products. Perception of AI-driven personalization also strengthens green purchasing intention, although its direct effect on behavior is limited. These results suggest that digital platforms and marketers can promote sustainable consumption by combining environmental education with transparent and value-based AI personalization. The study contributes to understanding how psychological readiness and technological engagement together encourage greener consumption among youth in emerging economies.

This case study explores the critical success factors (CSFs) that drive the effective utilisation of artificial intelligence at tiket.com, an established online travel agency in Indonesia. Through in-depth interviews with key employees, this case identifies and describes essential elements that contribute to the successful deployment of data science initiatives, which are essential for enhancing operational efficiency and competitive advantage in the digital travel industry. This study explores how tiket.com leverages a problem-driven approach, cost–benefit analysis, data understanding, top management support, collaboration, communication, essential knowledge and skills, and operational agility to address specific business challenges and foster continuous innovation and customer-centric strategies. By analysing real-world applications and employee insights, this case highlights how tailored artificial intelligence strategies can significantly impact business outcomes, providing valuable lessons for the broader travelling and entertainment sector.

The activity aimed to help school to determine whether the school furniture which were provided to the students match with their dimensions. The evaluation focused on students from Grade 1-3. By using ergonomics criteria and students’ anthropometry, the chair and desk were evaluated. Results showed that most students’ did not match with the chair available to them. The height of chair were too high for the majority of students with percentage are ranging from 12.5% (Boys in Grade 3) to 87.5% (Girls in Grade 1). Meanwhile, the height of desk was not appropriate for all students from Grade 1 to Grade 3 (100% percentage). Findings from this activity suggested that the school authority should evaluate the used of their school furniture.

Digital transformation has become an essential aspect of economic development and modern society, especially in Indonesia, which is currently a leading player in the ASEAN digital economy. A 2022 study by Google Temasek Bain & Company showed that Indonesia contributes around 40% of the total value of digital economy transactions in ASEAN. One of the challenges of digital transformation in Indonesia lies in the use of information and communication technology in business processes and community activities. This community service project aims to analyze the main challenges in digital transformation in Indonesia's business sector, particularly in utilizing information and communication technology to improve business efficiency. The method used is a national webinar-based community service involving legislators, academics, and practitioners, with an awareness-raising approach through presentations and interactive discussions. The results of this activity show that public awareness of the challenges of digital transformation increased by 70%, with participants gaining a better understanding of the importance of strategies in utilizing digital technologies, such as social media, data analytics, and artificial intelligence (AI). In conclusion, digital transformation is an urgent necessity to enhance business competitiveness in the digital economy era, with the involvement of diverse stakeholders being key to addressing these challenges.

PT. XYZ intends to create a Human Resources Information System (HRIS), requiring HR master data. During the formation of HR master data, many errors were found in the business processes within it, necessitating corrections. The numerous errors in HR business processes have hindered the creation of the Human Resources Information System (HRIS) system. Business process improvements are carried out in the recruitment and people development modules. Improving business processes is the initial step in creating master data to be used in the Human Resources Information System (HRIS) system. Business process improvements begin with the identification of business processes, evaluation of business processes, and proposing business process improvements. The evaluation of business processes is done using the business process improvement method and the ESIA (Eliminate, Simplify, Integrate, Automate) technique. The proposed business processes for recruitment and people development show significant differences in the number of activities and the flow of processes performed

A good human resources management practice will produce quality and quantity output for sustainable business. The employee recruitment process is a crucial initial stage to fulfil the needs of a quality employee. In this process, a company usually opens an advertisement for a job vacancy and selects based on job qualification requirements. This research contributes to determining job specification standards in a café or coffee shop based on Big Data analysis. Analysis has been done by Latent Dirichlet Allocation (LDA), and Analytical Hierarchy Process (AHP) method is implemented to select the type of works and work qualifications available in the food and beverages sector. Questionnaires and interviews have been conducted to collect primary data, and three leading websites of job seeker online platforms (Jobstreet.com, Gawean.id, and Lokerindonesia.com) are used as references in data collection. Finding gives information regarding four types of works in a cafe: manager, barista, chef, and waiter; eleven points for manager specifications, twelve points for barista specifications, eleven points for chef specifications, and fifteenth points for barista waiter specifications.