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.

Human rights in the Indonesian political context show a discrepancy between the principles set out in the constitution and their implementation on the ground. While the Indonesian constitution guarantees fundamental rights, various institutional, political and cultural barriers often prevent their effective implementation. This research investigates the dynamics of human rights in the Indonesian political system, highlighting the gap between constitutional norms and their application in practice. Through the analysis of various legal documents and human rights case studies, this article identifies key challenges in the enforcement of human rights in Indonesia. The main results show that while Indonesia's constitution clearly guarantees a range of human rights, there are institutional, political and cultural barriers that hinder the implementation of these rights. The article provides policy recommendations to strengthen human rights protection, including legal reform and capacity building of law enforcement agencies. It discusses the protection of human rights in the Indonesian constitution, its implementation in political practice, as well as cases of violations that have occurred. The Indonesian Constitution guarantees human rights through various provisions listed in the 1945 Constitution, including civil, political, economic, social and cultural rights. However, the implementation of human rights in political practice often faces challenges, including corruption, abuse of power, and discriminatory policies. Various cases of human rights violations, such as arbitrary arrests, violence against minorities, and labor rights violations, show the gap between law and practice. Various parties, including the government, non-governmental organizations, civil society, and the international community, play an important role in protecting and promoting human rights in Indonesia. Effective cooperation between these various parties is needed to ensure respect and protection of human rights in all aspects of national life.

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.

Sand is the main commodity of the Gondoruso community, almost all levels of society feel the impact of the presence of sand mining. From sand, it can form a network ecosystem for local residents' livelihoods. Based on this phenomenon, researchers conducted an analysis using Max Weber's concept of Protestant Ethics and McLeland's need for achievement. Weber stated that the Protestant Ethics was the forerunner to the birth of the spirit of capitalism which brought human civilization to become the creature of capital it is today. This is in line with the thoughts of Mc Cleland who stated that to achieve progress in civilization, you need encouragement to achieve your goals. The need for achievement makes humans move to realize the progress of their civilization. This encouragement encourages people to think more rationally, ultimately encouraging capitalization to maximize existing potential. This research uses qualitative methods with an ethnographic approach. This is in line with analysis that attempts to describe and explain the reality that exists within a society.
 

The remaining food waste in Indonesia reaches around 46.35 million tons, with economic losses reaching 23 million to 48 million tons per year. This condition has led to various campaigns to reduce food waste from people concerned about the problem of food waste. However, the increase in food waste campaigns has yet to be accompanied by a decrease in the volume of food waste in Indonesia. This research aims to determine public sentiment toward food waste campaigns on Instagram social media and determine the accuracy of the methods used in data classification. The method used is the Naïve Bayes Classifier method. The results obtained were from a total of 118 data regarding the food waste campaign; 79% data showed that the public had a positive sentiment, and 21% other data had a negative sentiment. The accuracy results of using sentiment analysis were 78.94%; this shows that the performance of the Naïve Bayes method in classifying data is quite good.

The author conducted this research based on the low literacy and numeracy abilities of students. This research activity was attended by grade 6 students, where this activity aims to be able to improve literacy and numeracy skills for students. In this study, the author used a qualitative research method by observing the actions of a person directly and then describing them in detail so that readers could understand them. This research activity has three stages, namely the first stage is planning an activity to be carried out, the second stage is the implementation process to observe grade 6 students, and the third stage is the evaluation and conclusion stage. Based on the research results, it was found that students will tend to have literacy skills if they continue to practice literacy and learn numeracy. In addition, if the learning process is carried out by learning while playing so that these students can develop a strong sense of enthusiasm in learning literacy and numeracy.

The aim of this research is to analyze the influence of market share in the novel "Resign" by Almira Bastari on company shares. The method used in this research is a qualitative description method. This method analyzes presentation data in the novel "Resign" by Almira Bastari. The object studied in this research is the function of market share and share on changes in the company's economy in the novel 'Resignation' by Almira Bastari. The data source for this research is the novel "Resign" by Almira Bastari. Published in 2018 by the publisher Gramedia Pustacautama. Data collection techniques in this research used reading and note-taking techniques. Based on the research results, it can be concluded that the market share strategy and increasing the company's share price index influence the running of a business in the company.

This study aims to conduct a literature review of the results of research on the Implementation of Mudharabah Agreements in the Economy in Indonesia. This study uses a Systematic Literature Review (SLR) with a qualitative approach. The results of this study indicate that based on the results of the Systematic Literature Review, it shows that the mudharabah contract is one of the pillars of the sharia economy that represents Islamic principles to realize social justice through a profit-sharing system. As well as the implementation of the mudharabah contract in the Indonesian economy is in accordance with maqasyid sharia which is able to encourage the welfare of the people. This research method uses the Systematic Literature Review (SLR) method using a qualitative descriptive approach.

The development of technology in the era of modernization creates risks on the rise of social media use. The high number of social media use raises concerns about the consequences of problems that arise, especially related to social media dependence. This dependence makes them feel to always be connected to other activities in social media, which then creates anxiety fear of being left behind by news or trends. This phenomenon is referred to as FOMO (Fear of Missing Out). This sociological research aims to identify the FOMO phenomenon as a result of social media dependence among Jember regional students. Based on interviews and data analysis, this research explores the extent to which Fomo affects the behavior of the use of social media students of Jember University. In addition, this research also identifies the risks and consequences of the dependence of social media that arise due to FOMO. The results of research on a number of Jember University students show that students who experience FOMO tend to have a higher degree of dependence on social media.