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Breast milk production during the postpartum period is a crucial factor in successful breastfeeding and achieving exclusive breastfeeding. However, during the early postpartum period, many postpartum mothers experience difficulties in breast milk production, influenced by physical and psychological conditions. One non-pharmacological intervention that can be used to help facilitate breast milk production is oxytocin massage, which aims to stimulate the release of the hormone oxytocin and increase the let-down reflex. This study aims to analyze the effect of oxytocin massage on breast milk production in postpartum mothers at the Marisa Community Health Center. This study used a quantitative pre-experimental design with a one-group pretest–posttest approach. The study sample consisted of 30 postpartum mothers selected using purposive sampling according to the inclusion criteria. Breast milk production was measured before and after the oxytocin massage intervention using a structured observation sheet with units of milliliters (ml). Data analysis was performed using univariate and bivariate methods. Normality was tested using the Shapiro–Wilk test, while differences were tested using the Wilcoxon signed-rank test. The results showed that the average milk output before oxytocin massage was 18.00 ± 5.95 ml, and increased to 51.83 ± 10.94 ml after the intervention. The Wilcoxon test showed a p-value of 0.000 (p < 0.05), indicating a significant effect of oxytocin massage on increasing breast milk output. It was concluded that oxytocin massage is effective as a non-pharmacological intervention to increase breast milk production in postpartum mothers and can be integrated into postpartum care in primary health care services.

Labor pain is a significant challenge faced by in-partum mothers, with a prevalence of 70% in Indonesia, and 40% of women reporting severe pain (Central Statistics Agency, 2022). Conventional pharmacological methods often do not provide optimal results and can cause side effects. As a non-pharmacological alternative, oxytocin massage has shown promise in reducing labor pain intensity by stimulating the endogenous production of oxytocin, a natural analgesic hormone. This study aimed to assess the effect of oxytocin massage on labor pain intensity in in-partum mothers at Manado Medical Center Hospital. A pre-experimental design with a one-group pre-test post-test approach was used. The sample consisted of 30 in-partum mothers who met the inclusion criteria. Pain intensity was measured using the Numeric Rating Scale (NRS) before and after a 30-minute oxytocin massage administered by trained health workers. Data were analyzed using a paired t-test. The results showed a significant reduction in pain intensity from an average of 7.23 (SD=1.08) before the massage to 4.63 (SD=1.11) afterward, with a decrease of 2.6 points. The proportion of mothers experiencing severe pain decreased from 50% to 20%, while mild pain increased from 16.7% to 46.7%. The paired t-test revealed a highly significant difference with t=10.274 (df=29), p=0.000 (p<0.05). In conclusion, oxytocin massage is an effective non-pharmacological intervention that can significantly reduce labor pain and improve the birth experience. It can be incorporated into standard maternity nursing protocols to enhance maternal care.

Media relations, as an important part of Public Relations, supports the success of a program efficiently and at low cost through publicity techniques. The role of mass media, especially television, is significant in delivering information, entertainment, and education. Public Relations at PT Surya Citra Media (SCM) plays an active role in designing strategies to support the success of a program. This study analyzes the strategies used by SCM to increase media engagement for the special event "Konser Raya 3 Dekade Indosiar Luar Biasa" using a descriptive qualitative method with in-depth interviews and observations. Interviews were conducted with two relevant sources. The first resource person is the Head of Public Relations at PT Surya Citra Media (SCM) and the second resource person is the Public Relations Officer of PT Surya Citra Media (SCM) where both sources are equally responsible for the supervision and implementation of all public relations activities at PT Surya Citra Media (SCM). The results show that SCM has successfully implemented effective media relations strategies to improve media engagement.

The active phase of labor is a crucial stage that determines the progress and success of the delivery process. Prolonged labor during this phase can increase the risk of maternal complications and reduce the comfort of the laboring mother. Various non-pharmacological interventions have been developed to support the physiological progress of labor, including acupressure at the SP6 point and oxytocin massage. This study aims to analyze the differences in the effects of SP6 acupressure and oxytocin massage on the duration of the active phase of labor at the Galala Health Center in the Tidore Islands. This study used a quasi-experimental design with a comparative approach in two intervention groups. The sample consisted of 40 mothers in the first stage of active labor who met the inclusion criteria, with 20 respondents in the SP6 acupressure group and 20 respondents in the oxytocin massage group. The duration of the first stage of labor was calculated from 4 cm cervical dilation to complete 10 cm dilation and recorded using a partograph. Data were analyzed univariately to describe the distribution of labor duration and bivariately using the Mann–Whitney U test to assess the difference between the two groups. The results showed that the median duration of the first stage of labor in the SP6 acupressure group was shorter than in the oxytocin massage group. The Mann–Whitney test showed a statistically significant difference between the two intervention groups (p < 0.05). The conclusion of this study indicates that SP6 acupressure is more effective than oxytocin massage in shortening the duration of the first stage of active labor. These findings support the use of SP6 acupressure as a safe and effective nonpharmacological intervention in intrapartum midwifery care in primary health care facilities.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

This study aims to analyze the effect of workload and work stress on the performance of teachers at Madrasah Aliyah Negeri Tana Toraja. The study uses a quantitative approach with a population of 38 teachers, all of whom were selected as the sample using the total sampling technique. Data collection was carried out using questionnaires, and data analysis was performed using multiple linear regression assisted by SPSS version 26. The results show that workload has a significant positive effect on teacher performance, with a t-value of 2.081, which is greater than the t-table value of 2.030, indicating a significant positive relationship between the two. In addition, work stress also has a significant positive effect on teacher performance, with a t-value of 8.046, which is greater than the t-table value of 2.030. Simultaneously, both variables have a significant effect on teacher performance at Madrasah Aliyah Negeri Tana Toraja. In conclusion, an increase in workload and work stress, when managed properly, can improve teacher performance. Therefore, it is important for the school to pay attention to managing workload and work stress to optimize teacher performance.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

Lower back pain is one of the most common discomforts experienced by third-trimester pregnant women due to increased uterine size, postural changes, and musculoskeletal strain. Complementary therapies such as effleurage massage offer a non-pharmacological, safe, and easily applicable technique to reduce pregnancy-related pain. This study aimed to examine the effect of effleurage massage on reducing lower back pain among third-trimester pregnant women at TPMB Lina Contesa. This research employed a quasi-experimental one-group pretest–posttest design. The study was conducted from October to November 2025 involving 32 third-trimester pregnant women selected through purposive sampling. Pain intensity was measured before and after the intervention using the Visual Analog Scale (VAS). Effleurage massage was administered for 15–20 minutes on the lower back region following standard midwifery procedures. Data were analyzed using the Wilcoxon test. The findings showed a significant reduction in lower back pain intensity after the intervention (p < 0.001). The proportion of respondents in the moderate-pain category decreased from 65.6% to 21.9%, while those in the mild-pain category increased from 34.4% to 78.1%. The mean VAS score dropped from 5.81 ± 1.12 before intervention to 2.47 ± 1.03 after effleurage massage. Effleurage massage is effective in reducing lower back pain among third-trimester pregnant women and can be recommended as a complementary therapy in midwifery care to improve maternal comfort.

The ecological crisis affecting Central Kalimantan reveals systemic environmental degradation, ranging from deforestation and river pollution to peatland destruction caused by massive extractive activities. The impact of this crisis extends beyond ecological damage, disrupting the social, cultural, and spiritual order of the Dayak Indigenous communities. This article aims to reflect on Dayak communal spirituality as a path toward ecological conversion in the light of the encyclical Laudato Si’. Employing a qualitative approach through theological–contextual hermeneutics and library research, this study examines the dialogue between Dayak cosmology, communal life values, and the Catholic Church’s vision of integral ecology. The findings indicate that Dayak communal spirituality affirms a reciprocal relationship among humans, nature, the community, and the Creator, which resonates with the call for ecological conversion articulated in Laudato Si’. This article argues that integrating Dayak communal spirituality into the Church’s pastoral praxis holds transformative potential in fostering ecological awareness, strengthening the inculturation of faith, and encouraging the active participation of the faithful in caring for our common home in a sustainable manner.

The massive adoption of Internet of Things (IoT) devices is expanding the cyberattacks surface, particularly by the Mirai botnet, which exploits the dynamic characteristics of data traffic. This research proposes a Mirai detection approach based on a Recurrent Neural Network (RNN) optimized using Bayesian Optimization to improve prediction accuracy on sequential data. Unlike previous studies, this research utilizes the latest CIC IoT-DIAD 2024 dataset and applies probabilistic optimization to the hyperparameter space, including RNN units, dropout, and learning rate. The experiment was conducted on 201,021 valid data points, with dimensionality reduction using PCA as the optimal point to represent essential features without redundancy. The results show a significant increase in accuracy from 97.95% to 99.69%, accompanied by an 84% decrease in False Negatives, an 86% decrease in False Positives, and an AUC value of 0.9999. These findings confirm that integrating RNN and Bayesian Optimization not only improves numerical performance but also strengthens the reliability of the intrusion detection system for modern IoT ecosystems with controlled computational loads.

A research about study of sandstone slope stability using the Bishop Simplified method in Uu Samarinda has been conducted. This study was conducted to analyze the rebound number values of sandstone slopes, evaluate their stability level, and calculate the safety factor using the Bishop method. The results showed that the rebound number values were 22.34 at point 1, 19.83 at point 2, and 18.07 at point 3. The Uniaxial Compressive Strength (UCS) values at the observation points were 1.90 MPa, 1.62 MPa, and 2.21 MPa, respectively. Geological Strength Index (GSI) evaluation indicated a rating of 80–85, demonstrating intact/massive rock structure, fresh and unweathered rock surfaces, and very good rock quality. Based on the Bishop method analysis, the slope factor of safety in 6.525  with a probability of failure is 0.000%, indicating that the sandstone slope in Ulu Samarinda is highly stable even under external pressures such as heavy rainfall or minor earthquakes. This study provides crucial information on the mechanical characteristics and stability of sandstone slopes in ulu Samarinda, which can serve as a reference for technical planning, geotechnical risk mitigation, and the sustainable development of safe areas.

This research is purposely conducted to evaluate and compare the effectiveness, efficiency, applicability  and appropriateness of modern firefighting systems installed on board ships. As a result, the review attempt to  ascertain the significance of firefighting systems on ships in terms of their safety, types, structure, principles as  well as installations. In this way, the review tries to justify the importance of these systems on board ships. The design of this survey revolves around three basic elements that incorporate the complete firefighting  procedure. These components include: modern technology of firefighting, different types of systems that are  used on board ships and people traits in terms of drilling, firefighting training to deal with any incident of fire.  In the previous decade, the globe has experienced massive destructions, harms and injuries resulting from fire incidents on ships. This has triggered and ignited enhanced fabrication and staging of new practices,  technologies and inventions aimed at efficiently deal with fire incidents so as to support the safekeeping and  reliability on these fire systems on board ships. Equally, through this technological enhancement, the  firefighting systems have been designed to facilitate rapid detection capable of differentiating between real  smokes or flames indicators in case of a fire event on board ship. In recent times, these technological  developments have been viewed as strategies that help ship owners to ensure better protection of the crew’s life,  ship’s inventories as well as minimising on the possible losses that occur as a result of fire events on board ship.  Therefore, with the review of the recent or latest methods and technologies for speedy fire detection on ships,  the review demonstrates enhancement attributes, features and qualities of these new systems. Additionally, the  paper critically evaluates the components of these firefighting systems, as well as looking at their competences,  capabilities, benefits and applicability on board ships.

Early childhood is a critical period for growth and development, characterized by rapid changes in neurological, motor, sensory, and emotional systems. Stimulation during this stage plays a vital role, and non-pharmacological interventions such as massage and aromatherapy may enhance developmental outcomes. This quasi-experimental study employed a pretest–posttest control group design to evaluate the effectiveness of infant massage combined with aromatherapy. Twenty infants aged 3–12 months who met inclusion and exclusion criteria were recruited and assigned to either a control group (infant massage only) or an intervention group (infant massage with aromatherapy). Growth parameters (weight, length, head circumference) and developmental outcomes were measured using the Developmental Pre-Screening Questionnaire, covering gross motor, fine motor, language, and personal-social domains. Infants in the intervention group demonstrated significantly greater improvements in body weight, body length, head circumference, and developmental scores compared to the control group. These findings indicate that the addition of aromatherapy to infant massage provides measurable benefits for both physical growth and developmental progress. Combined infant massage and aromatherapy represent effective non-pharmacological strategies for early stimulation, supporting optimal growth and developmental trajectories in infants.

This study examines the emerging paradigm of federated intelligence architectures as a secure, privacy-preserving, and scalable foundation for data-driven innovation across AI, IoT, and cloud ecosystems. With billions of interconnected devices generating massive heterogeneous data, traditional centralized machine-learning models face critical limitations, including privacy risks, regulatory constraints, latency, and single points of failure. Through a qualitative content-analysis approach, this paper synthesizes contemporary research on federated learning, blockchain integration, zero-trust governance, and edge intelligence to formulate a comprehensive understanding of distributed AI infrastructures. The findings highlight that federated learning enables collaborative model training without exposing raw data, significantly enhancing privacy, security, and compliance. Moreover, combining blockchain with federated learning strengthens auditability, model integrity, and trust, while zero-trust principles provide continuous verification and adaptive security enforcement across devices. Edge-AI integration further reduces latency and bandwidth consumption, enabling real-time analytics in resource-constrained IoT environments. Collectively, these elements contribute to the formation of cognitive ecosystems capable of autonomous, interoperable, and context-aware operations. The study underscores the transformative potential of federated intelligence while identifying critical gaps that inform future research trajectories.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

Nicotine is the main chemical substance found in cigarettes and has toxic and addictive properties. Exposure to nicotine in active smokers can cause various health problems, including respiratory and cardiovascular disorders and dependence. The prevalence of active smokers in RT 08 RW 05, Duren Jaya Village, East Bekasi Subdistrict is quite high. However, data on nicotine levels in the bodies of active smokers remain very limited. This study aims to determine the nicotine levels in active smokers in Duren Jaya Village, RT 08 RW 05, Bekasi Timur District, using urine samples. The research method employs a descriptive design with a cross-sectional approach. Urine samples were collected from 30 male active smokers aged over 35 years who had smoked for at least 15 years. Nicotine levels were measured at the Jakarta Regional Health Laboratory using Gas Chromatography-Mass Spectrometry (GC-MS). Data were analyzed descriptively using SPSS version 22. The study included 30 male respondents (100%) with an average age of 41 years. The analysis results showed nicotine levels ranging from 59.908 ng/mLto 459.941 ng/mL, with the majority of respondents falling into the category of active smokers based on the biological threshold for nicotine levels. It can be concluded that the results obtained indicate that these levels correspond to active smokers using light tobacco.

The rolling process is a material forming method that is greatly influenced by the roll rotation speed parameter. Inappropriate rotation variations can cause various defects such as waves, tears, thickness irregularities, and ovalization. This review aims to compare the effect of variations in the roll machine rotation speed on the quality of rolling results on various types of materials, including Al6061-O aluminum plate, rubber sheets, and hollow and pipe-shaped materials. The method used is a literature study by collecting and comparing data on roll speed, defects that appear, deformation results, and process efficiency from several relevant journals. The results of the analysis show that high rotation speeds increase productivity but also increase the risk of defects because the material does not have time to adapt to deformation. Conversely, low rotation speeds produce more stable shapes and minimize defects, but are less efficient for mass production. Each material has a different optimal rotation range, including 23–36 rpm for Al6061-O plate, 45–72 rpm for rubber sheet formation, 24.4 rpm for hollow and pipe rolling, and around 21 rpm for corrugated plate. Overall, this study confirms that rotational speed control is a critical factor in achieving a balance between deformation quality and machining efficiency.

The stability of slopes in open-pit coal mining in Indonesia is significantly influenced by geological faults, which are a major factor causing slope failures. This study aims to examine the impact of faults on slope stability by conducting a systematic literature review of 25 scientific publications from 2018 to 2025. The results indicate that faults and fault zones consistently reduce rock mass integrity through several mechanisms, including stress concentration in weak zones, the formation of preferential sliding surfaces, amplification of hydro-mechanical effects from groundwater and rainfall, and the reduction of rock strength parameters. Case studies in Kalimantan and Sumatra confirm these mechanisms with slope failures aligning with fault orientations. Kinematic and numerical analyses using the Limit Equilibrium Method (LEM), Finite Element Method (FEM), and Distinct Element Method (DEM) show a reduction in the safety factor (SF) by up to 36% on slopes affected by faults. Practical recommendations include continuous monitoring using Slope Stability Radar (SSR), optimization of slope geometry with angles < 18° in fault zones, groundwater control, reinforcement with anchors and bolting, and UAV-based discontinuity mapping for hazard zoning. This study concludes that managing slopes in fault zones requires an integrated approach combining detailed geological investigation, multi-method numerical analysis, real-time monitoring, and specific mitigation design.

The growing demand for energy-efficient and intelligent thermal systems has driven significant advancements in adaptive compressor design. This paper presents a comprehensive literature review on the development of AI-based compressor systems, with a specific focus on enhancing efficiency under partial-load conditions and optimizing the utilization of residual energy. Through the synthesis of five recent high-impact studies (2020–2025), we examine the application of deep reinforcement learning (DRL), hybrid evolutionary algorithms, and neural network surrogate modeling in compressor optimization. Key findings indicate that model-based DRL combined with surrogate CFD can achieve up to 8% efficiency gains at off-design conditions. Hybrid approaches integrating Genetic Algorithms (GA) with DRL reduce optimization time by 30% while improving pressure ratios. Neural network surrogates provide high-speed, real-time performance predictions with less than 1% error, enabling mass iterative design. Furthermore, intelligent load classification using radial basis function networks (RBFN) allows adaptive response to varying operating conditions with over 95% accuracy. Collectively, these methods form a framework for intelligent, self-optimizing compressor systems capable of real-time adaptation and energy recovery. The results suggest that AI-enhanced adaptive compressors represent a transformative direction for energy-sensitive sectors, including HVAC, power generation, and sustainable industry.