This study aims to determine and analyze the potential and challenges of culinary businesses, the implementation of digitalization and halal certification, and the development of an effective and sustainable model for the "Resto Apung" culinary business to support food economic independence in coastal villages. The research was conducted at "Resto Apung" using a qualitative descriptive method with data collection techniques such as interviews, observations, and focus group discussions. The findings show that the "Resto Apung" business holds significant potential as a culinary destination with a strong attraction due to its unique location and menu offerings based on local marine products. However, several challenges hinder its development, including low digital literacy among business managers, lack of structured and professional management systems, and the absence of halal certification which is crucial in targeting broader Muslim consumer segments. Currently, digitalization has only been applied in the marketing aspect, primarily through social media, while other aspects such as financial management, customer service, and operational processes are still managed conventionally. Nevertheless, the managers have shown awareness and initiatives to improve, especially in recognizing halal certification as a strategic competitive advantage. The proposed development model integrates digitalization into all aspects of business management, enhances human resource capacity through technical and managerial training, and includes efforts to obtain halal certification. This holistic approach is expected to increase the competitiveness of the culinary business, optimize local potential, and ultimately contribute to the achievement of food economic independence in coastal areas.

Exclusive breastfeeding for the first six months of a baby's life is an important strategy to support optimal growth and development. Breast milk has many benefits for babies, such as strengthening the immune system and supporting brain development. However, various obstacles such as emotional stress, lack of self-confidence, and minimal support from family and the community remain significant barriers to successful breastfeeding. These issues often lead to failure to provide exclusive breastfeeding in accordance with health recommendations. This study aimed to evaluate the effectiveness of hypnobreastfeeding training in improving breastfeeding knowledge, attitudes, and practices among mothers with infants aged 0–6 months in the Bojongkerta area of Bogor City. Hypnobreastfeeding is a psychological approach that combines relaxation techniques, positive affirmations, and education about breastfeeding to help mothers feel more confident in the breastfeeding process. This study used a quasi-experimental approach with a pre- and post-test design without a control group. A total of 31 breastfeeding mothers participated in this training, which included education about breastfeeding, positive affirmation techniques, and relaxation exercises. Data analysis results showed a significant increase in mothers' knowledge and attitudes towards breastfeeding after the training intervention. Furthermore, the study also recorded an increase in the success of exclusive breastfeeding during the observation period. Based on these findings, it can be concluded that hypnobreastfeeding is an effective approach to supporting the empowerment of breastfeeding mothers at the community level. This method offers a psychologically based solution to overcome social barriers that affect the success of exclusive breastfeeding.

This study compares the performance of two deep learning models, namely Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN), in the task of recognizing human activity from videos. Human activity recognition is an important field in computer vision with many applications, such as security monitoring, human-computer interaction, and social media-based video analysis. ConvLSTM is a model that combines convolution operations with long-term memory LSTM, thus capable of capturing spatial and temporal information simultaneously. This approach is ideal for processing video data sequences that have spatial and temporal dimensions. On the other hand, LRCN combines the power of spatial feature extraction from Convolutional Neural Network (CNN) and temporal sequence modeling through Recurrent Neural Network (RNN), specifically LSTM, to understand movement patterns in videos. The study used the UCF50 dataset consisting of 50 activity classes, but was limited to five classes for the focus of the experiment. The dataset was divided into 80% for training and 20% for testing, and the model was drilled for 50 epochs using early stopping to prevent overfitting. The results show that both models have high training performance. ConvLSTM achieved a training accuracy of around 98% and a validation accuracy of 90%, while LRCN achieved a training accuracy of 99.5% and a validation accuracy of 88%. Although ConvLSTM demonstrated good stability on the validation data, further testing using TikTok videos as real-world data showed that LRCN had a higher confidence level in recognizing activities, with most predictions achieving confidence scores above 80%. This difference in performance indicates that while ConvLSTM excels in generalizing on training data, LRCN is more robust to real-world data variations.

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.

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.

The rapid growth of information technology has driven digital transformation in various sectors, including micro, small, and medium enterprises (MSMEs), the backbone of the Indonesian economy. In response to the challenges and opportunities of digitalization, the Surabaya City Government launched the Peken e-commerce platform on October 31, 2021. This platform aims to help MSMEs market their products online, expand market reach, and increase competitiveness. However, the use of digital systems also presents new challenges, particularly in terms of cybersecurity. Dependence on technology opens the door to various threats that can compromise data confidentiality, integrity, and availability. This study aims to analyze and evaluate information security risks on the Peken Surabaya website using a risk management approach based on the ISO/IEC 27005:2019 standard. The analysis method involves identifying information assets, recognizing potential threats, identifying vulnerabilities, and assessing risk levels based on the likelihood of occurrence and impact. To support the analysis, technical testing was also conducted using the Open Web Application Security Project Zed Attack Proxy (OWASP ZAP) tool. The research results indicate that most of the risks faced by Peken Surabaya are moderate to very high. These risks include Distributed Denial of Service (DDoS) attacks, user data leaks, and the lack of a two-factor authentication (2FA) system. Based on these findings, a risk management strategy was developed using the Risk Modification, Risk Sharing, Risk Retention, and Risk Avoidance approaches. Furthermore, this study recommends security controls based on ISO/IEC 27005 and OWASP Top 10 to enhance system protection. These findings emphasize the importance of implementing international standards-based risk management in maintaining the continuity and security of digital public services, particularly those supporting the MSME sector in the digital era.

This research is motivated by the low ability to write short stories in students, which is thought to be caused by the use of learning methods and media that are less varied and have not been able to stimulate students' imagination and creativity optimally. To overcome this problem, the application of innovative learning strategies is needed, one of which is the use of storyboard techniques. The purpose of this study was to determine the effect of storyboard techniques on the ability to write short stories of class X students of SMK Tritech Informatika Medan. The method used in this study is a quantitative method with a quasi-experimental design, specifically the Pretest-Posttest Control Group Design. The sample in this study amounted to 42 students who were divided into two groups, namely the experimental group who were given treatment using the storyboard technique and the control group who used conventional methods. Data collection techniques were carried out through observation, interviews, short story writing tests, and documentation. The data obtained were analyzed using normality tests, homogeneity tests, and t-tests (independent samples t-test). The results showed that there was a significant difference between the posttest scores of the experimental group and the control group. The experimental group experienced an average score increase of 18.81 points, while the control group only increased by 9.76 points. The t-test results showed a t-value of 2.677 and a significance level of p = 0.011 (p < 0.05), indicating that the storyboard technique had a significant effect on students' short story writing skills. Therefore, it can be concluded that the use of the storyboard technique is effective in improving students' creative writing skills. The implication of this finding is that the storyboard technique can be used as an alternative, creative and innovative learning strategy in writing instruction at the Vocational High School (SMK) level.

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.

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.

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.