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Indonesia is prone to natural disasters because it is located at the confluence of three active tectonic plates. This condition causes high earthquake, volcano, and tsunami activity in Indonesia. Mount Kelud is the most active volcano in Indonesia with cycles that recur every 8 to 15 years. The community service method carried out is to collect data on the area, population, targets, capacity, vulnerability level, and empirical data on the 2014 eruption of Mount Kelud. Then conduct analysis, calculate estimates of health logistics needs, especially reproductive health, socialize the results of the analysis, and conduct disaster preparedness education. This activity was carried out for 6 weeks from March 12 to April 21, 2025. Based on the results of the risk assessment, the Ngancar District, Kediri Regency area has a score of frequent risk scale, severe impact scale, and priority and impact scale in the high category. To overcome the health crisis, a contingency plan is needed, especially for the reproductive health sub-cluster, which includes the preparedness of target data, existing capacity in the region, the level of vulnerability, and the estimated amount of health logistics needed to anticipate the eruption of Mount Kelud. Mount Kelud has a periodic eruption pattern in 8 to 15 years. The contingency plan for dealing with the health crisis of the eruption of Mount Kelud is very important for health service stakeholders because it can minimize the adverse impacts caused, increase rapid response, and ensure smooth coordination between related institutions in dealing with the natural disaster effectively and efficiently. It also supports disaster risk reduction efforts at the community level and strengthens the resilience of local communities.

Mekarsari Village, located in Panimbang District, Pandeglang Regency, Banten Province, has local potential in the form of a bamboo-based home industry. This potential has long been part of the cultural and economic identity of the local community. Therefore, the goal of this Community Service (PKM) activity is to increase the income of bamboo craftsmen by encouraging innovation, improving product quality, and broader marketing strategies. The PKM activity was carried out by male and female students of KKM Universitas Bina Bangsa, group 41 of 2025. The stages of activities carried out in this program include three main phases. The pre-implementation stage was carried out through a process of observation and direct visits to the homes of bamboo craftsmen in Sumur Kuya Village, Mekarsari Village. Students conducted short interviews to explore obstacles and potential in production activities carried out so far. The implementation stage included practical work on making household products such as winnowing baskets, food covers, tissue holders, and bamboo baskets by KKM41 participants, guided directly by the craftsmen. Students also provided light training on product design to make it more attractive and competitive in the market. The final stage, the evaluation stage, was conducted through product socialization activities to the local community, including mini-exhibitions and open discussions. The community was educated on the importance of preserving local heritage while remaining open to innovation in production and marketing. This activity was held from July 18–20, 2025. The methods used included observation, field surveys, interviews, and hands-on practice. Bamboo was chosen as the basic material because it is abundant in the surrounding environment, as well as its advantages as an environmentally friendly material with high aesthetic value.

The use of technology in early childhood and elementary education is becoming increasingly important in the digital era. This study aims to evaluate the effectiveness of educational games as an interactive learning medium to increase the interest and motivation of elementary school students. This activity was carried out by the KKM group 95 team from Bina Bangsa University on 43 fourth-grade students at Bayak Public Elementary School. The research method used a descriptive quantitative approach through a pre-test and post-test using a Google Form questionnaire. The educational games were developed through the Educaplay platform, which provides various features such as interactive quizzes, crosswords, and picture-matching games. Prior to the intervention, observations were conducted on student learning behavior in the classroom. The results of the initial observations indicated that most students showed little interest in conventional, monotonous learning methods. Therefore, a more engaging approach involving active student participation was needed to rekindle their enthusiasm for learning. During the activity, students were very enthusiastic in participating in the educational games presented. The classroom atmosphere became more lively, and students were seen working together and showing a high curiosity about the material presented through the games. After using the educational games for several sessions, a post-test was conducted to measure changes in students' interest and motivation to learn. Preliminary data analysis results indicate an increase in student interest and motivation scores after participating in educational game-based learning. This indicates that interactive, technology-based approaches have strong potential to improve learning effectiveness at the elementary school level. This study recommends that teachers actively integrate interactive technology into the teaching and learning process. In addition to increasing student engagement, the use of media such as Educaplay can also adapt learning to the digital-native characteristics of today's generation of students.

Significant physical and psychological changes occur throughout pregnancy, especially in the third trimester (weeks 27–40).  Lower back pain, frequently caused by poor posture, changes in the curvature of the spine, and increasing body weight that shifts the center of gravity forward, is a common issue during this time.  Between 30% and 78% of pregnant women report experiencing lower back discomfort.  Maintaining physical health, endurance, and mental preparedness for childbirth are key objectives of prenatal exercise.  This study aimed to examine the effect of pregnancy exercise on lower back discomfort in third-trimester pregnant women at the Likupang Community Health Center.  The study used a one-group pretest-posttest design and was pre-experimental in nature, with the Likupang Community Health Center serving as the research site.  Fifteen pregnant women from the Likupang Community Health Center were chosen as the study sample.  The results indicated that pregnancy exercise had a significant impact on reducing back pain (p-value 0. 000), showing a clear effect between pregnancy exercise and the reduction of lower back pain (p-value 0. 000), as confirmed by the bivariate statistical test.  The findings suggest that pregnancy exercise can effectively alleviate lower back discomfort in third-trimester pregnant women.

This study aims to analyze the correlation between learning models and student achievement at SMA Negeri 1 Kuala by applying the Apriori algorithm in data mining, using Rapid Miner software as the primary tool for analysis. The research is motivated by the shift in educational approaches from conventional teacher-centered methods toward more innovative strategies such as project-based learning and cooperative learning, which are expected to foster higher levels of student engagement and improve academic outcomes. In many schools, particularly at the secondary level, the choice of learning model, availability of facilities, and attendance rates are crucial factors that shape learning effectiveness and student performance. The data collected in this study include student grades, the types of learning models implemented, school facility conditions, and attendance rates for the 2023/2024 academic year, covering a total of 680 students. The Apriori algorithm was employed to discover hidden patterns and associations among these variables, enabling the identification of relationships between learning factors and academic achievement. By applying Rapid Miner software, the research systematically generated association rules that reflect meaningful correlations in the dataset. The results indicated that the use of the Indonesian language subject in combination with a cooperative learning model, adequate and complete school facilities, and good student attendance was strongly associated with the attainment of an A grade. This finding was supported by a support level of 53.33% and a confidence level of 100%, suggesting a robust and reliable relationship between these factors. The implementation of data mining techniques through Rapid Miner not only allowed for efficient data processing but also provided practical recommendations for educators and school administrators in designing effective instructional strategies.

The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.

This study aims to identify and measure the influence of customer relationships, customer satisfaction, and brand image on customer loyalty at Ryandini’s Sweet Chicken Claw business, located in Sei Sijenggi Village, Hamlet III, Perbaungan District, Serdang Bedagai Regency. A quantitative research method was employed, with data collected through observation, documentation, and questionnaires. The questionnaires used a Likert scale as a measurement tool to assess respondents’ opinions accurately. Data analysis was conducted using several stages, including validity and reliability tests, classical assumption testing, and multiple linear regression analysis, processed through SPSS version 22. These methods were used to ensure the validity of the instrument and the consistency of the findings. The research findings demonstrate that customer relationships have a significant and positive effect on customer loyalty. Customers who feel connected and valued by the business are more likely to remain loyal. Likewise, customer satisfaction—reflecting the extent to which customers' expectations are met or exceeded—has a strong and positive influence on loyalty. In addition, the brand image of the business, which encompasses customer perceptions and reputation of the product, also significantly influences loyalty in a positive direction. Furthermore, the simultaneous analysis of customer relationships, customer satisfaction, and brand image shows that all three variables jointly have a significant and positive impact on customer loyalty. This means that enhancing these three factors can strengthen customer retention and long-term commitment. These results provide valuable insights for small business owners in the food and beverage industry. Focusing on building strong relationships with customers, consistently delivering satisfaction, and maintaining a positive brand image are essential strategies to increase loyalty. For Ryandini’s Sweet Chicken Claw and similar businesses, these findings offer practical guidance for developing customer-centered marketing strategies in an increasingly competitive market.

This study was conducted at Bio Live Healthy Home, located in Sei Bamban District, Serdang Bedagai Regency. The primary objective of this research is to determine how lifestyle, reference groups, and consumer attitudes influence the decision to use services offered by the institution. In a rapidly growing health and wellness industry, understanding consumer behavior is essential to improve service quality and increase customer engagement. To achieve the research objectives, the study employed a survey method with a quantitative approach. The target population consisted of service users, and a sample of 92 respondents was selected. Data collection was carried out through a combination of observation, interviews, documentation, and the distribution of structured questionnaires. The questionnaire was designed to capture variables related to lifestyle, reference groups, attitudes, and service usage decisions. Before conducting the main analysis, the data were tested for validity and reliability to ensure that the instrument accurately measured what it intended to measure. Furthermore, classical assumption tests, including normality, multicollinearity, and heteroscedasticity tests, were conducted to confirm the feasibility of using a multiple linear regression model. The analysis was performed using the Statistical Package for the Social Sciences (SPSS) software. The results of the study revealed that lifestyle, reference groups, and attitudes each had a significant and positive influence on the decision to use services at Bio Live Healthy Home. This indicates that individuals with health-conscious lifestyles, influenced by their social environment and holding positive attitudes toward wellness services, are more likely to engage with the services offered. Moreover, these three factors collectively contributed to a meaningful explanation of the variation in consumer decisions. In conclusion, the findings highlight the importance for service providers to consider psychological and social factors when designing marketing strategies.

This study aims to examine the mediating role of Organizational Citizenship Behavior (OCB) in the relationship between Perceived Organizational Support (POS), Perceived Organizational Commitment (POC), and employee performance in a state-owned enterprise in Indonesia. In the context of growing public expectations for improved service quality, organizations are challenged to enhance employee performance not only in formal roles but also in discretionary behaviors. Based on Social Exchange Theory (SET), this research proposes that POS and POC can affect performance both directly and indirectly through OCB. Data were collected through a census of 138 permanent employees at PT Jasa Raharja, East Java Branch. The analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypothesized relationships. The findings show that POS has a significant positive influence on both OCB and employee performance. On the other hand, POC significantly influences OCB but does not have a direct impact on performance. The results also reveal that OCB plays a partial mediating role in the relationship between POS and performance, while it acts as a full mediator in the relationship between POC and performance. These findings emphasize the importance of fostering OCB within the organization to optimize the impact of support and commitment on employee performance. Encouraging voluntary, extra-role behaviors can bridge the gap between how employees perceive organizational treatment and how they perform. The study suggests practical implications for human resource management in public sector institutions. Policies should focus on building a supportive and engaging work climate that enhances affective commitment and acknowledges employee contributions beyond formal duties. Doing so will not only improve individual performance but also contribute to broader organizational effectiveness in a competitive and service-oriented environment.

The purpose of this paper is to examine the role of Green Intellectual Capital (GIC) in the development of waste-to-energy (WtE) technologies, which is of special relevance for the incineration plants in the Gulf Cooperation Council (GCC) countries. Although previous studies have focused primarily on technological and infrastructural aspects, this paper investigates the contribution of intangible assets such as green human, structural, and relational capital towards the performance and sustainability of WtE systems. Adopting a mixed-method approach, the results show that Green Structural Capital has the first place in supporting operational efficiency, followed by Green Human Capital and Green Relational Capital. The statistical analysis based on Structural Equation Modeling (SEM) shows that all GIC dimensions are positively related to plant performance, with institutionalized knowledge and systems as the most significant enablers of innovation. Qualitative findings also highlight constraints such as lack of training, unhandy knowledge systems, and poor public-private interaction. The findings recommend policy suggestions for promoting GIC assimilation within environmental infrastructure and provide a region-based theoretical model connecting knowledge-based resources and sustainable waste management practices. The study emphasizes the importance of integrating intellectual capital into the strategic decision-making process of waste-to-energy plants to enhance their operational effectiveness and long-term sustainability. Additionally, the research underlines that fostering a knowledge-sharing culture and enhancing collaboration between various stakeholders, including governmental bodies, private firms, and research institutions, is critical for the success of green initiatives. Training programs aimed at developing green human capital and improving public-private partnerships are essential to overcoming the current barriers to innovation in the WtE sector. This study has practical and scholarly implications in unifying the focus from just technology to the facilitating role of human and intellectual capital in green transformation, further bridging the gap between environmental sustainability and technological advancements in waste management.

This study aims to identify the factors that influence the local community in developing the swallow nest business and to examine how the practice of swallow nest farming aligns with the principles of Islamic business ethics in Marioriwawo District, Soppeng Regency. The swallow nest industry has grown significantly in this area, shifting the economic landscape from primarily agricultural activities to a more diversified business sector. Before the emergence of this business, most residents were involved in farming. However, due to factors such as unpredictable harvests and unstable agricultural income, many community members have turned to swallow nest cultivation as an alternative and promising source of livelihood. According to Islamic business ethics, the practice of breeding swallows is permissible, as long as it does not involve cruelty to animals. This view is supported by the Indonesian Ulema Council (MUI) Fatwa Number 2 of 2012, which states that raising or cultivating swallows is allowed, provided the birds are not harmed or subjected to distress. Furthermore, the consumption and trade of swallow nests are also considered halal under Islamic law, adding to the business's appeal among the Muslim population. To explore the underlying motivations and social dynamics of this business shift, the study employed a qualitative research method. This approach was chosen to gain a deeper understanding of the local context, including the experiences, beliefs, and socioeconomic conditions of the people involved. The results revealed several influencing factors: the potential for high profit from selling swallow nests, the challenges faced in traditional agriculture (such as frequent crop failure), and the religious assurance that the business is acceptable under Islamic teachings. Overall, the swallow nest business represents a strategic and ethical economic opportunity for the community, enabling them to improve their livelihoods while staying aligned with their religious values.

The drama Woman Talking has many feminist values can be found, especially about gender equality, women’s freedom, and moving away from patriarchy. The values shown in this film are already being practiced today, where women and men are seen as equals in terms of rights and opportunities. These important ideas inspire writers to explore them more deeply, aiming to raise awareness among men so they do not look down on women. This study aims to examine the representation of feminism in Women Talking, a drama directed by Sarah Polley. Using a qualitative descriptive approach, this research analyzes the film’s narrative and dialogue to explore how the women fight for bodily autonomy, voice, and the freedom to choose their own paths. The results indicate that Women Talking has five of six types of feminism theory, which the liberal feminism is the largest one with 39%, and then radical feminism 32%, traditional marxist feminism 16%, socialist feminism 12%, and the last is postmodern feminism 6%. This drama has no dialog that talking about critical race feminisim. The findings show that Women Talking is not only a space for the expression of voices long silenced, but also a quiet yet powerful form of collective resistance against systemic oppression.

Urban logistics is a significant source of carbon emissions in Indonesia, and effective decarbonization strategies are required. EVs offer a promising solution, but their impact requires quantitative evaluation within the local context. This study analyzes the effect of adopting an electric van fleet on total well-to-wheel carbon emissions within an urban distribution network in Indonesia. This study employs a comparative case study method. A baseline scenario consisting of 25 diesel vans is compared to an intervention scenario where electric vans replace the entire fleet. The emission analysis was conducted using the WtW framework, utilizing specific emission factors for diesel fuel from the IPCC (2006) and the Java-Madura-Bali (JAMALI) grid emission factor from IESR (2023) to ensure contextual relevance. The transition to an electric fleet successfully reduces the total well-to-wheel carbon footprint by 13.63%. This reduction is equivalent to an absolute CO2 emission decrease of nearly 3 tons of CO₂ per month. Nevertheless, indirect emissions from electricity generation still contribute a significant carbon footprint, indicating that the national energy mix is highly dependent on the environmental benefits of EVs. This study concludes that fleet electrification is a viable and effective decarbonization strategy for Indonesia’s logistics sector, even with the current state of the electricity grid. However, fleet decarbonization efforts must run in parallel with policies for a national transition toward renewable energy to maximize the emission reduction potential of electric mobility. Future research should include the total cost of ownership (TCO) and life cycle assessment (LCA) for a more holistic evaluation.

Measuring Liquefied Petroleum Gas (LPG) levels and inventory in storage tanks is a critical aspect of terminal operations, directly influencing safety, operational efficiency, and accurate stock management. The Integrated Terminal Palembang – Pulau Layang LPG Site has implemented a servo-type Automatic Tank Gauging (ATG) system, namely the Proservo NMS81, to provide precise and real-time volume measurements. Despite its operational importance, there remains a limited in-depth understanding of how this ATG system functions, particularly regarding the complete process from sensing LPG levels to converting them into accurate inventory data. This study aims to analyze the working mechanism of the Proservo NMS81 in measuring LPG height and generating digital stock data for monitoring purposes. The research method combines a literature review of the Proservo NMS81 technical datasheet and related scientific references with direct field observation (KSM-LP) at the LPG Pulau Layang site. The analysis covers the operating principle of the servo sensor, which relies on displacement measurement via a mechanical float and wire system; the analog-to-digital conversion process utilizing a 12-bit ADC to transform continuous signals into discrete digital values; the communication protocols employed, including HART and Modbus RS-485, for transmitting processed data to the control system; and the algorithmic data processing that converts tank level measurements into standardized inventory figures based on tank calibration tables and product density. The results of this study are expected to improve technical knowledge regarding servo-type ATG systems, enhance the accuracy and reliability of inventory monitoring, and contribute to more informed operational decision-making. Furthermore, the research findings are intended to serve as a valuable academic reference for the application of advanced instrumentation technology in the energy industry, supporting both professional practice and further scholarly exploration in the field.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Fatigue is a critical issue in labour-intensive small industries, especially in traditional food production such as tofu manufacturing. This study aims to develop a fatigue classification model using a decision tree algorithm by integrating subjective assessments of the work system through the Macroergonomic Organizational Questionnaire Survey (MOQS) and objective physiological indicators, specifically Cardiovascular Load (CVL). The research was conducted in a tofu home industry located in Kalisari Village, Banyumas, Indonesia. Primary data were collected from 10 workers through MOQS questionnaires and heart rate measurements taken at rest and during work. CVL values were calculated and used as labels for classification into three categories: low, moderate, and high fatigue. Meanwhile, MOQS dimension scores (organization, job, personal, environment, and technology) were transformed into interval data and used as classification features. A decision tree model was built using the CART algorithm and visualized for interpretability. The results show that all workers experienced at least moderate fatigue, with 20% categorized as high fatigue. The decision tree revealed that the dimensions of organizational and personal factors were the most influential in predicting fatigue levels. The model provides a practical and interpretable tool to support decision-making in scheduling, workload balancing, and ergonomic interventions. This study demonstrates a novel approach to combining macroergonomic assessments and physiological data with machine learning for practical fatigue risk management in small-scale food production environments.

Delivery delays pose a major challenge in the e-commerce industry, often leading to decreased customer satisfaction and negatively impacting business operations. In this study, the XGBoost (Extreme Gradient Boosting) algorithm is applied to predict delivery delays based on a dataset containing 96,476 records. These records include various features relevant to the delivery process, such as shipping distance, carrier performance, and order characteristics. The model achieves a high overall accuracy of 93.24%, indicating strong general performance. In particular, XGBoost demonstrates excellent results in predicting on-time deliveries, achieving a precision of 93% and a recall of 100%. However, the model struggles to correctly identify delayed deliveries. The recall for delayed deliveries is 0%, and the F1-score is extremely low at 0.01. This significant discrepancy reveals a critical limitation in the model's performance — the inability to detect minority class cases (delayed deliveries) due to class imbalance within the dataset. The results highlight the importance of addressing data imbalance in predictive modeling for delivery outcomes. When the dataset is dominated by on-time delivery records, the model tends to be biased toward that class, failing to learn the patterns associated with delays. To improve performance, the study recommends integrating class balancing techniques such as SMOTE (Synthetic Minority Oversampling Technique) to generate synthetic samples of the minority class. Additionally, the use of alternative evaluation metrics beyond accuracy — such as precision, recall, and F1-score for each class — is suggested to provide a more comprehensive understanding of model effectiveness. Overall, the study provides valuable insights into the complexities of predicting delivery delays and outlines practical strategies for enhancing future models in e-commerce logistics analytics.

Blockchain logistics represents the integration of blockchain technology into the logistics sector, aiming to enhance efficiency, transparency, and security across supply chain processes. From an Islamic economics perspective, digital transformation must align with core values such as justice, transparency, and honesty to support the development of fair and sustainable logistics systems. The decentralized nature of blockchain offers promising solutions for building supply chains rooted in Islamic ethical principles. This study conducts a bibliometric analysis to examine the development and research trends of blockchain logistics within the context of Islamic economics. Using VOSviewer software, relevant scientific publications were analyzed based on bibliographic data sourced from reputable academic databases. Bibliometric parameters—such as the maximum number of authors per document and the minimum number of documents per author—were applied to identify key contributors and dominant research themes. The bibliometric mapping reveals the growth trajectory of blockchain logistics research framed by Islamic values. The visualization highlights research clusters, prominent authors, co-authorship networks, and publication trends that illustrate the evolution and scholarly interest in this interdisciplinary area. Emerging themes suggest a convergence between blockchain-driven logistics innovation and ethical economic practices advocated in Islamic teachings. The findings provide a comprehensive overview of the current landscape and collaboration opportunities in blockchain logistics research through an Islamic lens. This study contributes to the strategic positioning of future research by identifying gaps, potential synergies, and critical areas for development. Ultimately, it offers a foundational reference for scholars seeking to explore the integration of Islamic ethical principles within the advancement of blockchain-enabled logistics systems.

This study aims to determine whether the Penal and Non-Penal Integral Policy can be implemented to increase the effectiveness of eradicating online gambling crimes and to determine the obstacles faced by the local government in implementing the Integral Policy on Online Gambling Crimes in Surakarta. This type of research uses empirical legal research, with a descriptive research nature. The research location is at the Surakarta Police, Surakarta City. The types and sources of data in the study consist of two types, primary data and secondary data. Data collection techniques are by observation, interview, and decision study techniques. The results of this study show that the causes of the rampant online gambling in the Surakarta Police area are economic problems, community disobedience to the law, morality factors, low Human Resources (HR), and tradition. The eradication of online gambling in the Surakarta Police area can be said to be effective, although in reality online gambling continues to grow, but during the last five years (2020-2025) there has only been one case file handled regarding online gambling, However, the role of the Police in handling online gambling cases is still limited, so that the perpetrators of gambling are only subject to Article 303 of the Criminal Code concerning gambling. and in handling online gambling cases, there are various obstacles found in the field, both in terms of time, costs and processes that are not easy to imagine.

Indonesia's digital transformation has accelerated dramatically, creating unprecedented opportunities alongside significant cybersecurity challenges. This article examines the current state (das sein) and normative expectations (das sollen) of Indonesia's cybersecurity and data protection legal framework through a comprehensive normative legal analysis. The study reveals critical gaps in existing legislation, particularly the Information and Electronic Transactions Law (UU ITE). It evaluates the potential impact of emerging regulatory frameworks, including the Draft Law on Personal Data Protection (RUU PDP). Using normative legal research methodology, this analysis draws from statutory regulations, policy documents, and comparative legal studies to assess Indonesia's legal preparedness for evolving cyber threats. The findings indicate that while foundational legal instruments exist, significant normative reforms are required to address sophisticated cybercrime, protect individual privacy rights, and maintain national digital security. The research concludes with actionable recommendations for legislative enhancement, institutional strengthening, and public-private collaboration to establish a robust, adaptive cybersecurity legal regime that meets international standards while addressing Indonesia's unique socio-legal context.