The residents of RW 05 Jomblang, Candisari District, Semarang City, are increasingly concerned about the impact of plastic waste on the environment. As a solution, used plastic bottles are being utilized as planting media in hydroponic techniques by MBKM students from various universities, such as UPN "Veteran" East Java, Padjadjaran University, and Semarang State University. This utilization of plastic bottles reduces waste while supporting sustainable agriculture by minimizing the use of land and water. The program raises community awareness about eco-friendly urban farming, focusing on water efficiency and quick harvesting processes. Education includes basic hydroponic techniques and their implementation using used bottles, which has been met with active community participation. Evaluations show tangible results, such as pakcoy plants being distributed to participants. Discussions with the RW 05 Chairman reveal significant benefits for the community in utilizing used items for agriculture. This program strengthens the community and suggests further development to enhance local food security and environmental awareness, as well as motivate the adoption of modern agricultural technologies

This research studies consumer protection against the dangers of using mercury skincare for health, so that consumers, especially women, can be more careful in choosing and using skincare. Mercury is an ingredient that is often added to skincare ingredients that function to produce white facial skin quickly. Mercury can flow through the blood throughout the body which can cause death. However, many consumers among women are more easily tempted to use mercury-based skincare because they see instant results. Skincare made from mercury is strictly prohibited from use because of its content which can cause damage to organs and nerves of the body by a substance such as chemicals and cause abnormalities in the functioning of the health system. The purpose of this study is to analyse consumer protection against cases of skincare products containing mercury such as the case of lightening cream and night cream brand MH.  
 

Early childhood education is an important foundation for a child's future development. For this reason, when learning at the early childhood education level, teachers are needed who have professional commitment in carry-ing out their duties. Teachers who have professional commitment will be able to display optimal performance for early childhood learning. There are many factors that influence professional commitment, one of which is job satisfaction. Job satisfaction factors are the topic of study in this research. This research aims to determine the relationship between job satisfaction and professional commitment in early childhood education teachers.  This research was conducted using quantitative methods. The sampling technique for this research uses convenience. The number of research subjects was 120 Early Childhood Education teachers. Data were collected using a psy-chological scale developed by the research team. The psychological scale consists of a job satisfaction scale and a professional commitment scale. Data analysis was carried out using the Pearson Correlation analysis tech-nique. The research results show that there is a significant positive relationship between job satisfaction and professional commitment in early childhood education teachers. The results of the correlation analysis show that the higher the job satisfaction, the higher the professional commitment. The novelty of this research is that there is still limited research regarding the relationship between job satisfaction and professional commitment among early childhood teachers. Several previous studies discussing job satisfaction and professional commitment used research subjects, such as nurses, auditor, employees and teachers at higher education levels.

This research aims to examine the role of consumer trust in mediating the influence of customer satisfaction and brand image on repurchase intention among Indomaret Kembarang Larang consumers in Tangerang. The method used is descriptive quantitative using a questionnaire. The analysis technique used in this research is Path Analysis. Sampling in this study used a purposive sampling technique with a sample size of 99 consumers. Data was collected through a questionnaire with an interval scale which was processed using Microsoft Excel 2013 and SmartPLS version 4.1.0.2 software. The results of this research indicate that the customer satisfaction variable has a positive and significant effect on repurchase intention. The brand image variable does not have a significant effect on repurchase intention. The consumer trust variable has a positive and significant effect. The customer satisfaction variable has a positive and significant effect on consumer trust. The brand image variable has a positive and significant effect on consumer trust. The consumer trust variable is able to mediate the customer satisfaction and brand image variables on repurchase intention.

Purpose: The main objective of this research is optimal use of customer segmentation using the Recency, Frequency and Monetary (RFM) approach so that companies can better understand and comprehend the needs of each customer. By carrying out this segmentation, companies can communicate better and provide services tailored to each customer.
Methods: The K-means algorithm is used as the main method for customer segmentation in this research. This research uses a dataset of online retail customers. Apart from that, this research also uses the elbow method to help determine the best number of clusters to be created by the model.
Result: Based on the elbow method, the most optimal is to use 3 clusters for this case. Thus, in K-means modeling, forming 3 clusters is the best choice. Clusters produce groups of customers who have specific characteristics in each cluster. The analysis shows that quantity and unit price have a significant influence on online retail customer behavior.
Novelty: This research strengthens the trend of using the K-means algorithm for customer segmentation in online retail datasets, which has proven popular in journals from 2018 to 2022. This research creates 3 new variables that will be used by the model to understand the characteristics of customer transaction behavior. This study also emphasizes the importance of exploratory data analysis in understanding data before clustering and the use of the elbow method to determine the most appropriate number of clusters, providing a significant contribution in analyzing customer segmentation.

One of the complaints faced by teachers at the Indonesian school of Bangkok was writing scientific articles and then publishing them in academic journals. The complaint was based on various considerations faced by teachers at the Indonesian school of Bangkok, namely (1) the absence of a socialization program for publishing articles from research activities; (2) lack of understanding related to the procedures, techniques, and methods of publishing scientific articles in reputable national and international journals; (3) lack of motivation, self-confidence, and experience to publish in reputable national and international journals. Participants in this community service activity were academics at the Indonesian School of Bangkok. This service was carried out using a participatory training model through socialization and training. After that, it continues with assistance in writing and publishing scientific articles. The socialization and training materials covered the basics of writing scientific articles until the publication process; methods, techniques, and methods of scientific publication. The success of the training process and results were measured using questionnaires and evaluation sheets from the participants. The results of this community service were an increase in the teacher competence of Indonesian school of Bangkok in the skills and understanding of writing until the publication of scientific articles in reputable national and international journals.

The research used a questionnaire method which was carried out at BMT Jambi City. This research used 100 samples as respondents with samples taken using Random Sampling Technique. The results of this research are: (1) Service quality has a significant effect on customer loyalty, (2) trust has a significant effect on customer loyalty, (3) religiosity has no significant effect on customer loyalty, (4) service quality has no significant effect on satisfaction, (5) ) trust has no effect on satisfaction, (6) religiosity has a significant effect on satisfaction (7) satisfaction has a significant effect on customer loyalty, (8) satisfaction does not mediate the effect of service quality on customer loyalty, (9) satisfaction does not mediate the effect of trust on customer loyalty ( 10) satisfaction does not mediate the effect of religiosity on customer loyalty

Customer sentiment analysis provides valuable insights for ecommerce businesses, but traditional methods often fall short in handling complex and contextrich language. This paper explores the use of Natural Language Processing (NLP) techniques, including BERT and transformer models, to improve sentiment analysis accuracy in ecommerce. The study compares the performance of different NLP models in capturing nuanced customer sentiment from online reviews. Findings indicate that advanced NLP techniques substantially increase accuracy and offer practical applications for improving customer experience and business strategy in ecommerce.Keywords: Natural Language Processing, sentiment analysis, ecommerce, customer experience, BERT, transformer models.

Business Innovation and Digital Marketing Literacy is important knowledge to improve business development and how to utilize digital marketing among society now and in the future. Good literacy knowledge of business innovation and digital marketing makes people who want to or have even entered the business world able to plan, manage and develop their business. Entrepreneurship is one way that can be done by various groups of people to gain social status in society, improve the community's economy and for investment in the future. The aim of this service is to improve the mindset of good, organized, innovative business development and more contemporary marketing, especially for MSMEs in the Cilacap Regency area. As a result of this activity, it is hoped that the public will gain knowledge regarding how to innovate business development and attractive digital marketing.

Thalassemia is a genetic disease that is still a problem in Indonesia. Patients often face emotional problems and difficulties in social relationships. This condition can affect the management and treatment of thalassemia. Family gatherings play an important role in strengthening the support system for thalassemia patients and their families. The collective strength and determination gained from this family gathering helps thalassemia patients and their families face the challenges of this condition head-on, bringing a sense of hope and optimism for the future. Family gathering activities were carried out which were attended by more than 200 patients and their families. Overall, family gatherings focused on strengthening thalassemia families and patients provide an important platform for support, education, and empowerment. Family gatherings increase emotional support, belonging, remove stigma, and motivate to always be better.