This study explores the semantic fields of love and loss in Lord Huron’s song "The Night We Met," using a lexical semantics framework. Song lyrics, known for their emotional depth, serve as a rich source for analyzing affective meaning, particularly through word selection and repetition. The primary research question addresses how semantic fields are constructed within minimalist lyrical compositions to convey complex emotional states. In this analysis, a qualitative descriptive method is applied to examine the song's lexical items and group them into thematic semantic fields. The study finds that the song uses a concise set of lexemes connected to themes of memory, temporal disorientation, grief, and love. These thematic fields intertwine, interacting to depict a narrative that encapsulates unresolved emotional pain. Love and loss are not presented in isolation but are embedded in a broader emotional context, where words evoke both the sweetness of past affection and the sorrow of its absence. The overlap of these semantic fields reflects the internal conflict experienced by the narrator, torn between cherished memories and the painful realization of loss. The study concludes that despite the song’s brevity, the lyrics effectively evoke profound emotional responses through a meticulous choice of words and thematic consistency. The semantic fields constructed within the song illustrate how even minimal language can convey intense emotional content, providing valuable linguistic insight into the function of lyricism in popular music. The research demonstrates the ability of short, poignant lyrics to engage listeners emotionally, revealing how lyricists use limited language to encapsulate complex feelings of love and loss.

The transition of children from early childhood education to elementary school (SD) is a critical phase in their psychological and academic development. During this phase, children face significant challenges, including changes to a more structured learning environment and increasing academic demands. At SDN 055991 in Langkat Regency, this phenomenon is reflected in the difficulties experienced by some students, particularly with basic skills such as reading, writing, and arithmetic, as well as with socializing with peers. These difficulties can impact children's long-term academic and social development. This study aims to identify the key factors influencing children's learning readiness during this transition period, utilizing artificial intelligence (AI) technology. Specifically, this study uses Artificial Neural Networks (ANN) and Decision Trees as tools to analyze the data obtained. The use of this data-driven approach allows for a more in-depth analysis of the complex patterns and relationships between various variables that influence children's learning readiness, such as family factors, social environment, and students' basic skills. This study also references various previous studies demonstrating the effectiveness of backpropagation and Deep Learning algorithms in the context of education and student performance prediction. This approach is expected to provide more precise solutions for understanding children's learning readiness and provide a more accurate picture of the factors contributing to difficulties experienced by students in the transition to elementary school. The results of this study are expected to provide relevant recommendations for parents, educators, and education policymakers to support children's learning readiness and strengthen basic education policies that are adaptive to the needs of students in this digital era.

Financial statements play an important role in providing relevant, reliable, and trustworthy financial information to stakeholders. Although auditors are responsible for ensuring the fairness of these statements, cases of undetected financial fraud still occur. This research seeks to empirically examine the effect of experience and time budget pressure on the auditor’s ability to detect fraud, with an understanding of red flags as a moderating variable. The research was conducted on auditors who work in Public Accounting Firms (PAFs) in Bali. The sample was determined using purposive sampling technique and 94 auditors were obtained as a sample. Data was collected through a survey method using a structured questionnaire distributed to respondents. The analytical methods used include multiple linear regression analysis and Moderated Regression Analysis (MRA). The results showed that experience has a positive effect, and time budget pressure has a negative effect on the auditor’s’ ability to detect fraud. Furthermore, red flags strengthen the effect of experience and time budget pressure on the auditor’s ability to detect fraud. The findings provide valuable insights for auditors to manage their work focus effectively and for public accounting firms to allocate audit time proportionally, ensuring optimal awareness of red flags even under high time pressure.

The Cargo oil pump is one of the auxiliary units on board a ship, used to transfer cargo from one location to another during loading and unloading operations. On the MT?Pangrango vessel, an issue occurred with the cargo oil pump: its performance declined, resulting in slow suction during the unloading process. This problem hindered efficient cargo operations, as the pump was not functioning properly.This study aims to identify the contributing factors, impacts, and countermeasures for the decreased performance of the cargo oil pump. The research methodology applied in this thesis involved a descriptive approach combined with Miles and Huberman’s analytical method, with data validity tested via triangulation. Data collection techniques used to identify the problem included observation, interviews, documentation, and literature review.The results revealed that the pump’s shaft was worn due to excessive friction, and the ball bearing s exhibited wear and disintegration caused by lack of lubrication (grease). The recommended corrective actions were to add material to the shaft , perform realignment to correct any shaft misalignment, and implement routine maintenance—specifically, monthly grease lubrication. These measures, when properly applied, can significantly reduce the risk of Cargo oil pump damage.

This research was conducted from June to July 2025 in Binjai City, with the primary focus being analyzing the readiness of the Binjai City Regional Disaster Management Agency (BPBD) to implement a flood early warning system utilizing artificial intelligence (AI). The data collection process was conducted through a literature review, which involved reviewing various theories and previous research results regarding the application of AI and Internet of Things (IoT) technology in the context of disaster mitigation. Based on the results of the study, it was found that the use of technologies such as ultrasonic sensors, microcontrollers, fuzzy logic, and automatic notification systems can provide real-time warnings with a high level of accuracy and a fast response. This system enables early detection of rising river levels through automatic measurements, intelligent data processing, and sending notifications to authorities and affected communities within seconds. By integrating historical data and machine learning-based predictions, this system is also able to depict potential flooding before it occurs, providing a longer response time for evacuation. However, the readiness of the Binjai City BPBD still faces various challenges, such as limited digital infrastructure, the need for human resource training in the technology field, and inadequate budget allocation. Therefore, cross-sector collaboration and ongoing policy support are needed for optimal implementation of this system. The use of AI and IoT in early warning systems is not only technically relevant but also urgent in the face of increasing climate change and flood risks. A strategy involving cross-sector collaboration between government, academia, and the private sector is needed to develop an adaptive and sustainable early warning system.

The development of information technology has brought about significant changes in the social, economic, and legal life of global society. On the one hand, digitalization creates efficiency and convenience in various activities, such as financial transactions, communications, and access to information. However, on the other hand, this progress has also given rise to a new form of crime known as cybercrime. Cybercrime differs from conventional crime in that it is committed through electronic systems that can cross national borders and involve a large number of victims. This crime encompasses various forms, such as data hacking, online fraud, and malware distribution. This research aims to examine the development of cybercrime as a form of modern crime in the digital era and to assess the response of Indonesian criminal law to these challenges. The method used is normative legal, with a statutory, conceptual, and case study approach. This research also examines existing regulations, such as Law Number 11 of 2008 concerning Electronic Information and Transactions (ITE) and Law Number 27 of 2022 concerning Personal Data Protection, in addressing cybercrime issues. The research results show that although Indonesia has several regulations related to cybercrime, their implementation still faces various obstacles. Some of the main obstacles include suboptimal law enforcement, limited technology and human resources, and low levels of public digital awareness. Therefore, regulatory reform, institutional capacity development, and increasing public digital literacy are essential. This is part of a national strategy to address cybercrime comprehensively and sustainably, in order to create a safer and more trustworthy digital environment.

The current transformation of the workplace demands that organizations be more adaptive in understanding the factors that influence employee productivity, especially among the younger generation. Generation Z, as an age group that is starting to dominate the workforce, brings different characteristics and needs, including in terms of work-life balance and motivation. They tend to value time more, opportunities for self-development, and an inclusive work environment that supports a balance between professional and personal life. This study aims to determine the relationship between work-life balance and motivation on the performance of Generation Z employees in Klaten Regency. This study used a quantitative approach with a survey method. A total of 100 respondents were selected using a purposive sampling technique based on age and employment status criteria. The research instrument was a questionnaire using a five-point Likert scale, which included statements related to the dimensions of work-life balance, levels of work motivation (both intrinsic and extrinsic), and employee performance indicators. Data were analyzed using IBM SPSS version 25 software with correlation tests and multiple regression. The results showed that both work-life balance and motivation have a positive and significant relationship on employee performance. Among these two variables, motivation is the dominant factor influencing performance improvement. This suggests that while work-life balance is important, internal employee motivations such as passion, purpose, and a sense of belonging have a greater impact on job performance. The implications of these findings suggest that companies need to design human resource management strategies that are not only flexible but also responsive to the needs of the younger generation. Creating a work environment that supports work-life balance, provides recognition, and provides career opportunities.

This study aims to determine the relationship between conflict management, occupational safety and health (OHS), and work motivation towards increasing employee productivity at PT. Ratna Beton Giriwoyo. The background of this study is based on the importance of human resource management as a company's main asset in achieving optimal productivity targets, especially in the construction industry sector which has its own challenges in creating a safe and productive work environment. This study uses a quantitative approach with data collection techniques through distributing questionnaires to all company employees as respondents. The data obtained are then analyzed statistically to determine the effect of each variable on employee work productivity. The results show that conflict management has a significant relationship with employee productivity. Properly managed conflict not only avoids a decline in performance but can also increase morale and cooperation between employees. In addition, the implementation of good occupational safety and health (OHS) contributes to a sense of security and comfort at work, thereby reducing workplace accidents and increasing employee focus and work efficiency. Work motivation has also been shown to have an important role in encouraging employees to achieve predetermined performance targets. These three variables, both partially and simultaneously, have a significant effect on employee work productivity. These findings suggest that an integrated approach to conflict management, OSH implementation, and increased work motivation can be an effective strategy for improving company performance. This research is expected to provide practical contributions to the management of PT. Ratna Beton Giriwoyo in formulating human resource development policies, as well as serve as an academic reference for researchers and students interested in human resource management, particularly in the construction sector.

Exclusive breastfeeding coverage remains a challenge in several areas, including Bojongkerta Village, within the Cipaku Community Health Center (Puskesmas) jurisdiction, South Bogor District, Bogor City. Lack of knowledge, high levels of stress during breastfeeding, and minimal family support are often major obstacles to successful exclusive breastfeeding. One approach that can be applied to address these issues is hypnobreastfeeding, a relaxation technique combined with positive affirmations to support mothers' readiness to breastfeed. The objective of this activity is to increase the capacity of breastfeeding mothers in exclusive breastfeeding through community-based hypnobreastfeeding training, which also involves Posyandu RW 1 cadres as the main supporting partners of the activity. The method used in this activity involves three stages: first, education and training in hypnobreastfeeding techniques for breastfeeding mothers; second, practical mentoring by lecturers involving students from the Midwifery Diploma Three Program at Ummi University Bogor; and third, evaluation of results through knowledge measurement and observation of breastfeeding practices. A total of 10 breastfeeding mothers and 4 Posyandu cadres participated in this activity. The evaluation results showed an increase in understanding of the benefits of exclusive breastfeeding and a positive change in attitudes towards breastfeeding practices. Furthermore, the active involvement of Posyandu cadres is expected to strengthen ongoing support at the community level. In conclusion, the hypnobreastfeeding training had a positive impact on empowering breastfeeding mothers and strengthening the role of Posyandu cadres as supporters of the exclusive breastfeeding program at the community level. This program also has the potential to expand the reach of education about exclusive breastfeeding and increase the success of sustainable exclusive breastfeeding in the community.

WhatsApp is one of the most widely used messaging platforms, offering fast and simple communication. Among its active users are students from Islamic boarding schools (santri), including those involved in micro, small, and medium enterprises (MSMEs). However, despite its convenience, many users lack awareness regarding digital safety and privacy, exposing them to cyber risks such as phishing, scams, and identity theft. In Nusukan, Surakarta, this issue is particularly relevant for santri who rely on WhatsApp for both academic and business communication. This community service initiative was conducted at Al-Mukminun Islamic Boarding School in Nusukan, Surakarta, with the aim of increasing awareness and understanding of safe WhatsApp usage among MSME santri. The program consisted of counseling sessions, which included lectures and interactive discussions tailored to the participants’ needs. Key topics included how to adjust privacy settings, identify suspicious links and messages, protect personal data, and recognize common cyber threats. Participants responded positively to the training. Feedback showed that 80% of them reported they would avoid clicking unknown links in messages. Another 80% stated they would refrain from sharing personal information with strangers. Furthermore, 80% expressed their commitment to regularly updating the WhatsApp application to ensure optimal security features are in place. This program successfully raised awareness and empowered santri with essential knowledge about digital communication safety. It highlights the importance of integrating communication psychology and practical digital literacy into community education to support secure online behavior for young entrepreneurs. Overall, this training shows that a contextual and applicable communication psychology approach is very effective in forming positive digital awareness and behavior in religious-based communities such as MSME students.