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This study examines the role of the private sector in collaborative politics to strengthen human security in preventing human trafficking in Kupang City, East Nusa Tenggara Province. Human trafficking is an extraordinary crime that poses serious threats to human security, particularly for Indonesian Migrant Worker Candidates (CPMI) who are highly vulnerable to exploitation and illegal recruitment. The complexity of this issue requires the involvement of multiple actors, including not only the government but also the private sector. This research employs a qualitative descriptive method, with data collected through interviews, observation, and documentation. The research sites include BP3MI East Nusa Tenggara as a government representative and two private companies, PT Bakti Unggul Sejahtera (PT BUS) and PT AKKA AL-MATAR. The analysis is based on the collaborative governance framework proposed by Ansell and Gash, which emphasizes face-to-face dialogue, trust building, commitment to the process, shared understanding, and intermediate outcomes. The findings indicate that collaboration between the government and the private sector plays a significant role in preventing human trafficking through legal recruitment processes, pre-departure training, capacity building, and supervision of labor placement procedures. Although challenges remain in coordination and policy consistency, these collaborative practices contribute positively to strengthening the protection of migrant workers’ rights and security. This study concludes that collaborative politics between the government and the private sector is a crucial strategy in developing a human security–oriented human trafficking prevention system

This study aims to determine the level of knowledge of U16 women's national team athletes regarding injury management using the PRICES (Protect, Rest, Ice, Compression, Elevation, Support) method to improve athlete safety.. The study used a quantitative descriptive method with a cross-sectional approach. Data were collected through a Google Form questionnaire with 21 athletes as subjects. Data were classified using the Guttman scale and a dichotomous scale, then converted into a five-criteria scale. The data were processed using SPSS 22. The average score obtained was 136.81 with the lowest score being 117 and the highest score being 150. There were 8 (38.10%) subjects in the very high category, 10 (47.62%) subjects in the high category, and 3 (14.29%) subjects in the moderate category. These results indicate that the average subject's knowledge of the PRICES method is in the high or fairly good category. This indicates that most athletes have understood the basic principles of PRICES. An integrated educational program and practical simulation are needed in routine training to ensure that all athletes are able to apply the PRICES method quickly, precisely, and effectively when an injury occurs.

The development of the digital era demands that youth possess practical and applicable information technology (IT) skills to enhance competitiveness in the workforce and entrepreneurship. However, the gap between theoretical knowledge and basic technical skills—such as computer assembly, installation, and troubleshooting—remains a real challenge among youth, particularly in community settings such as the Patitech Academy in Pati Regency. The training program was implemented using experiential learning methods and a participatory approach over three days. A total of 25 participants engaged in a series of activities, including socialization, technical training, intensive mentoring, and evaluation. Measurement instruments included written pre- and post-tests, practical performance observation, and satisfaction questionnaires. Data analysis showed a significant improvement in participant competencies. The average post-test score increased by 40.2% compared to the pre-test, with 85% of participants demonstrating mastery in assembling computers, installing operating systems, and performing basic troubleshooting independently. The troubleshooting aspect recorded the highest increase (45%). The success of the program was supported by direct learning methods, an ideal participant-instructor ratio, and a curriculum relevant to industry needs. Hands-on training proved effective in significantly improving youth technical IT competencies. The program not only built hard skills but also increased participants' self-confidence and independence. For sustainability, it is recommended to develop advanced modules, strengthen industry networking, and establish a digital alumni forum. The findings of this study can serve as a model for developing youth empowerment programs based on digital skills in other communities.

This study evaluates the implementation of the Job Analysis (Anjab) policy at the Provincial General Elections Commission (KPU) of East Java using William N. Dunn’s policy evaluation model. The purpose of this research is to assess the extent to which the Anjab policy has been effective, efficient, adequate, equitable, responsive, and appropriate in supporting human resource management within the Provincial KPU. This study employs a descriptive qualitative approach, with data collected through interviews with personnel in the Subdivision of Personnel, observations, and document analysis of relevant regulations and internal documents. The evaluation shows that the implementation of Anjab within the KPU has not been optimal, as the Anjab documents have not been updated regularly, the job map remains generic and nationally standardized, there is no dedicated team responsible for Anjab management, and personnel’s understanding of Anjab remains limited. These conditions result in discrepancies between job descriptions and actual tasks performed, disproportionate task distribution, and low utilization of Anjab in human resource structuring. Consequently, the policy has not been fully effective, efficient, responsive, or well-targeted. Key recommendations include establishing an Anjab implementation team, providing technical training, developing an institution-specific job map, and conducting regular document updates

This study examines the effectiveness of the SIPELANDUKILAT program (Population Administration Service System for Border and Remote Areas) in improving population administration services in rural and remote areas of Tanjung Palas Timur District, Bulungan Regency, North Kalimantan Province. Using qualitative descriptive methods with an inductive approach, data were collected through interviews with 10 informants, direct observation, and documentation. The theoretical framework employs Siagian's (2011) effectiveness theory, assessed through four dimensions: human resources, funds, facilities and infrastructure; quantity and quality of services; time; and procedures. Findings indicate that the program has not yet reached full effectiveness, particularly due to the absence of specialized training for operators, inadequate facilities and infrastructure, and the transition from the distributed SIAK system to a centralized SIAK system that rendered offline recording equipment unusable. Supporting factors include qualified human resources, assistance from the Provincial Civil Registry Office, and high community participation. The study recommends that Bulungan Regency accelerate adaptation to the centralized SIAK system, improve facilities and infrastructure, and strengthen inter-agency cooperation to optimize population administration services in remote areas.

Rainfall is a crucial factor in the stability of the Earth's ecosystem and has a significant impact on agriculture, forestry, energy, and water management. However, increasingly unstable climate change makes rainfall patterns difficult to predict accurately using traditional methods. The city of Medan, the capital of North Sumatra Province, has a tropical rainforest climate with an average annual rainfall of approximately ±2200 mm and an average temperature of 27°C. Significant weather fluctuations in this area can trigger flooding when rainfall increases and cause water shortages when rainfall decreases (BMKG, 2021). Therefore, a prediction approach that can manage non-linear and dynamic data is needed. Artificial Neural Networks (ANN) are one of the reliable machine learning methods for detecting data patterns. By using the backpropagation algorithm, the model can gradually reduce prediction errors, making it widely used in weather forecasting applications. In this regard, this study uses ANN with the backpropagation method to forecast monthly rainfall in Medan City by utilizing data from 2022–2024 as training and testing data.

Digital transformation in the management of state property is a necessary step towards achieving transparent and accountable governance. The Minstry of Finance, through the Directorate General of State Assets, has developed the State Asset Management Information System Version 2 application as a means of digital based management, but its implementation still faces challenges related to interest in its use by work unit operators. This study aims to evaluate the impact of intentions, attitudes, and subjective norms on interest in using the SIMAN V2 application at the Surabaya State Assets and Auction Service Office using the Theory of Reasoned Action (TRA) approach. Using a quantitative design through a survey, this study was conducted at the Surabaya KPKNL with subjects being SIMAN V2 application operators in work units in the working area. Data colection techniques used a questionnaire with a Likert scale. Data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS software. The results of the study indicate that intention, attitude, and subjective norms have a positive and significant effect on interest in using the SIMAN V2 application. This study shows that psychological and social factors play an important role in supporting technology adoption in the public sector. The conclusion emphasizes that increased interest in use can be achieved by strengthening individual intentions, forming positive attitudes, and providing workplace support. Increased socialization, ongoing technical training, and recommendations for further research institutional supportfrom agencies to optimize the use of the SIMAN V2 application.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

This community service was carried out at the Sebesi Island Coconut Brown Sugar Artisans Group, South Lampung Regency, which faced the problem of low product competitiveness due to the use of conventional plastic packaging that was simple, unattractive, and environmentally unfriendly. This topic was chosen because it is relevant to the issue of the plastic waste crisis and the urgency of implementing a circular economy in island regions that are vulnerable to environmental pollution. The objective of this activity was to improve the hard and soft skills of partners through the innovation of environmentally friendly packaging designs based on local materials, while also increasing the economic value of coconut brown sugar products. The community service was carried out using a participatory approach through socialization, training, co-design of packaging, and assistance with production and marketing for 40 partners consisting of brown sugar craftsmen, BUMDes administrators, and local natural material weavers. The results of the activity showed an increase in the partners' skills in product design and packaging, strengthening of soft skills in the form of confidence and marketing readiness, as well as an increase in the selling value and image of the product in the local market. This activity confirms that environmentally friendly packaging innovation based on local resources is an effective strategy in empowering MSMEs as well as implementing a circular economy at the village level.

Rapid global environmental changes, especially due to advances in technology and information, have had a significant impact on various sectors of life, including the health sector. In the context of modern health services, hospitals are no longer just places of healing, but also institutions that are required to provide high-quality services, based on patient safety, and are able to adapt to the dynamics of community needs. This change requires a transformation in human resource management, especially related to the interpersonal and psychosocial competencies of nurses as the spearhead of medical services.Purposes:​ to analyze the effect of effective communication and Assertive Attitude on Nurses' Work Productivity in hospitals, with Work Fatigue as a mediating variable.Methods: This type of research is quantitative, using statistical figures to measure the influence of independent variables on dependent variables. The research design is a cross-sectional study.Results: The results of this study indicate that effective communication, assertiveness, and job fatigue collectively significantly influence nurses' work productivity. Communication and assertiveness positively contribute to job fatigue, which in turn affects productivity. Job fatigue is also shown to be a significant mediator in the relationship between communication and assertiveness on work productivity .Conclusion : The importance of strengthening effective communication as a strategy to increase productivity. Organizations need to design communication systems that support openness, transparency, and clarity of information and culture-based assertiveness training, so that employees can express their opinions appropriately without causing resistance in the team.

This community service program aims to enhance the capacity of UMKM Mentari Padangsari in developing visual content to strengthen branding and competitiveness. It is hoped that this training activity will have an impact on the development of MSMEs in Padangsari sub-district.The main problems faced by partners include limited skills in creating product photos, graphic designs, promotional videos, and managing social media consistently. The program was implemented through training, mentoring, and evaluation stages involving 14 UMKM actors in Padangsari Village, Semarang City. Training materials focused on product photography using smartphones, simple graphic design, short promotional videos, visual storytelling, and the use of digital platforms such as social media and Google Business are  considered very necessary in this era of rapid technological development. The results show increased knowledge and skills among UMKM actors in producing more attractive visual content, improving brand identity, and enhancing engagement on social media. This program contributes to strengthening UMKM competitiveness and supports sustainable digital-based marketing practices.

Abstract. This study aims to examine the causes, forms, and strategies for combating violence against female Indonesian migrant workers (PMI) from a legal, sociological, and gender perspective. The background of this research is based on the vulnerability of female PMI to various forms of physical, psychological, sexual, and economic violence, which occurs from the pre-placement stage to the post-placement stage, as well as the long-term impact on mental health, human rights, and socio-economic reintegration. The method used is empirical legal with primary data collection through in-depth interviews with female PMI victims of violence and accompanying institutions, as well as secondary data in the form of literature reviews, laws and regulations, and scientific publications. The analysis was conducted using descriptive qualitative methods, integrating human rights theory, Feminist Legal Theory, and international migration policy. The results of the study show that the vulnerability of female migrant workers is caused by economic factors, education, patriarchal culture, non-transparent recruitment processes, the characteristics of work in the informal sector, power imbalances with employers, and weak legal protection in the destination country. The forms of violence experienced include beatings, sexual harassment, threats, social isolation, wage withholding, and structural exploitation practices. Protection efforts implemented include preventive approaches through training, legal education, legal document guarantees, and assistance from law enforcement agencies, as well as repressive approaches through action against perpetrators of violence and bilateral cooperation with destination countries. This study emphasizes the importance of comprehensive and sustainable protection for female Indonesian migrant workers, covering all stages of labor migration as well as strengthening digital-based monitoring systems, officer capacity, and cross-sector collaboration to ensure the safety, dignity, and fulfillment of the human rights of female Indonesian migrant workers.  

This study is a case study that analyzes the handling of sexual violence in Cianjur Regency, examining the relationship between social morality, the role of law enforcement officials, and the effectiveness of criminal law policy after the enactment of Law Number 12 of 2022 concerning Sexual Violence Crimes (TPKS Law). This study uses a descriptive qualitative approach with an empirical juridical method through a sociological approach to law. Data was obtained through interviews with law enforcement officials, field observations, and a literature review of relevant legislation and scientific literature. The results of the study show that the handling of sexual violence cases in Cianjur Regency still faces obstacles in the form of weak social morality, strong stigma against victims, and a patriarchal culture that affects reporting and law enforcement processes. In addition, the role of law enforcement officials has not been optimal due to limited capacity, coordination between institutions, and a lack of sensitivity to the victims' perspective. This study recommends strengthening the capacity of law enforcement officials through training on gender perspectives and the implementation of the TPKS Law, continuous education on social morality at the community level, and strengthening inter-agency coordination to improve victim protection and the effectiveness of criminal law policy in Cianjur Regency.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the regional economy, including in Boyolali Regency. However, this contribution has not been fully matched by adequate human resources (HR). The main problem in this study is the still low capacity of MSMEs' human resources, particularly in aspects of managerial skills, digital literacy, and adaptability to changes in the business environment, which impact business performance. This study aims to analyze human resource development strategies implemented in the MSME context and examine the impact of these strategies on improving MSME performance in Boyolali Regency. The research method used is a Systematic Literature Review (SLR) with a content analysis approach to relevant scientific literature from the past five years. The research process includes determining inclusion and exclusion criteria, searching for literature sources, thematic coding, and synthesizing research findings. The results show that effective HR development strategies can be grouped into three main aspects: skills training, marketing digitalization, and cross-sector collaboration. These three strategies have been proven to contribute positively to improving MSME competency, operational efficiency, market expansion, and business competitiveness. Thus, human resource development is a key factor in driving sustainable improvement in MSME performance, particularly in facing the challenges of digital transformation and increasingly complex economic competition.

The gap between vocational students’ competencies and the needs of the digital creative industry requires efforts to enhance students’ technological and creative skills. This community service program aimed to improve the digital competence and creativity of vocational students through Canva-based motion graphics training. The program was conducted at SMK Swasta Nur Azizi Tanjung Morawa using lectures, demonstrations, hands-on practice, and mentoring methods. The results showed that participants were able to understand bassic motion graphics concepts and produce simple animated works using Canva. Evaluation results indicated that more than 80% of participants were able to operate Canva’s basic animation features, and all participants successfully produced at least one motion graphics project, with an average competency improvement of approximately 30% compared to pre-training levels. Overall, the training proved effective in enhancing students’ creative skills, confidence, and readiness to meet the demands of the digital creative industry.

Organic waste is one of the major environmental problems caused by household activities. Improper waste management leads to environmental pollution and health risks. This community service activity aimed to educate and train the community in processing organic waste into ecoenzymes as a multifunctional and environmentally friendly product. The method used included socialization, training, and direct assistance to the community in producing ecoenzymes from fruit and vegetable waste through fermentation. The results showed that the community was able to understand the benefits and production process of ecoenzymes and began implementing them in daily life and agriculture. Ecoenzymes can be used as natural cleaning agents, plant fertilizers, and pest repellents. This activity contributes to reducing organic waste and improving environmental awareness and sustainable agriculture practices.

Basketball requires mastery of basic technical skills and supportive physical conditions, including agility, which plays a crucial role in dribbling control and game effectiveness. In the extracurricular activities of Stepa Basketball Madiun, agility training has not been applied systematically, necessitating effective training methods to enhance athletes’ abilities. This study aimed to examine the effects of zig-zag run and shuttle run exercises on athletes’ agility and to compare the effectiveness of both exercises. A numerical methodology utilizing a pre-experimental One-Group Pretest–Posttest framework was implemented. The participants comprised 12 athletes between 13 and 15 years of age, who were allocated into two intervention groups. Data were collected using the Edgren Side Step Test before and after six weeks of training, conducted three times per week, and analyzed using t-tests. The results indicated that both exercises significantly improved athletes’ agility, with shuttle run showing a slightly greater improvement than zig-zag run. These findings reinforce the concept that agility can be enhanced through structured training emphasizing directional changes and speed, and provide practical implications for coaches to integrate shuttle run and zig-zag run exercises in training programs to optimize athletes’ performance.

This study aims to analyze employee performance and identify factors that need to be considered in efforts to improve employee performance at PT. Bank Negara Indonesia (Persero) Tbk Maumere Branch Office using the Performance Analysis Quadrant (PAQ) method. Data were collected through interviews and questionnaires. Interviews were used to obtain an overview of employee performance which was analyzed descriptively qualitatively, while questionnaires were used to measure aspects of employee knowledge and work attitudes which were then analyzed using PAQ. The results of the study indicate that in general employee performance is in the good category and has been in accordance with the company's operational standards, however there are still obstacles in the aspects of work quality and timeliness, especially during high workloads. PAQ mapping shows that most competency attributes are in Quadrant A (motivation) and Quadrant D (training), so that improving employee performance needs to be focused on strengthening work motivation, improving work processes and environments, and implementing ongoing training.

The 50 meter freestyle is a sprint event that requires explosive strength, efficient technique, and optimal body stability. Arm muscle strength contributes directly to propulsion, while core muscle strength supports stability and force transfer. This study aimed to analyze the influence of arm and abdominal muscle strength on 50-meter freestyle swimming performance among athletes of the Science Swimming Team (SST) Sidoarjo. A quantitative correlational design was employed with a sample of 10 athletes aged 10–12 years (5 males, 5 females). Arm muscle strength was measured using the pull-up test, abdominal strength with a 30-second sit-up test, and swimming performance with the best time in a 50-meter freestyle trial. Data were analyzed using Spearman correlation and multiple linear regression with a 0.05 significance level. Results indicated a significant correlation between arm strength and swimming performance (r = 0.773; p = 0.009), while abdominal strength showed a positive but non-significant correlation (r = 0.609; p = 0.062). Regression analysis revealed that both variables together explained 57.7% of the variance in swimming speed. It is concluded that arm muscle strength has a dominant influence on freestyle sprint performance, whereas core muscles serve as supporting factors for stability and efficiency. These findings highlight the importance of integrated training programs combining arm and core strengthening to optimize sprint performance in young swimmers.