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Perimenopause is an important phase in a woman's life characterized by extensive hormonal changes as the ovaries gradually lose their function. During this period, the body experiences significant hormonal fluctuations, particularly a decrease in estrogen and progesterone production, which can cause various physical discomforts such as fatigue. One way to overcome fatigue is through low-impact exercise. This exercise is a light, safe activity that can improve physical fitness and enhance the body's endurance, thereby potentially reducing fatigue levels in perimenopausal women. This study used a descriptive method with a case study approach conducted on two perimenopausal women, Mrs. T and Mrs. N. The results of the nursing care showed that after six sessions of low-impact exercise over two weeks, the fatigue levels of both respondents decreased, as evidenced by their Fatigue Assessment Scale (FAS) scores. Mrs. S's FAS score decreased from 28 to 23, while Mrs. N's decreased from 30 to 27. The symptoms experienced by Mrs. T decreased on the third day and further decreased on the sixth day. For Mrs. N, symptoms decreased on the third day and further decreased on the fifth day. The results of this study indicate that low-impact exercise is effective as an intervention for fatigue issues in perimenopausal women.

Background: Thel postpartum periodl is al recovery phase involving lphysical and psychologicall changes, during which mothersl often experience fatigue due to increased cortisol levels. Excessive fatigue can interfere with the breastfeeding process and reduce motivation for exclusive breastfeeding. Lavender aromatherapyl is al non-pharmacologicall therapy containing linalool with sedative effects to provide relaxation and reduce fatigue levels. lObjective: This studyl aimed tol determine thel effect ofl lavender aromatherapy onl reducing fatigue in postpartuml mothers atl Puskesmas Ibu, West Halmahera Regency. Methods: Thisl study was al Pre-Experimentall study withl a Onel Group lPretest-Posttest lDesign. The studyl population consisted of lall postpartum mothersl at Puskesmas Ibu, with a total sampling technique of 30 respondents. The research instrument used anl observation lsheet, and ldata analysis wasl performed usingl the Paired Sample T-Testl (α = 0.05). Results: The majorityl of lrespondents' characteristics were inl the agel range of 20-35 yearsl (76.7%), had Senior High School education (60%), were unemployed/housewives (70%), and were primiparous (60%). The resultsl of thel Paired Samplel T-Testl showed al mean fatigue score before the intervention of 27.33, which decreased to 11.50 after the intervention (mean difference 15.833) with a lp-value = l0.000. lConclusion: There isl al significant effectl ofl lavender aromatherapyl administration on reducing fatigue lin postpartum lmothers at Puskesmas Ibu, Halbar Regency. Lavender aromatherapy is effective as a complementary therapy to aid postpartum maternal recovery.

Low productivity and high sick leave in the weaving division of PT XYZ in Yogyakarta are caused by excessive physical and mental workload on Shuttle Loom Unit 2 operators. The productivity of the weaving division of PT XYZ was recorded at only 61.96% (target 75%) with sick leave of 4.17%, indicating operator fatigue. This study measured physical workload using the Cardiovascular Load (CVL) method based on heart rate and mental workload using NASA-TLX, and analyzed the correlation with age and length of service. The results showed a moderate physical workload category (40% light CVL <30, 60% moderate 30-60) at a temperature of 30.5°C, and high-very high mental workload (45% high 50-79, 55% very high ≥80, average EF 79.3) due to strict quality targets (0.5% defects). There is a correlation between CVL and NASA-TLX with age. Recommendations include reducing the daily production target from 100 to 85-88 yards, optimizing ergonomics, and training to reduce EF to 65 and defects to 0.3, to increase effective productivity.

Higher education management at the master's level currently faces urgent challenges, namely learning fatigue and low engagement among professional students, especially in Prior Learning Recognition (RPL) classes. Currently, lecturers still tend to apply conventional learning methods based on static presentations that fail to accommodate andragogical characteristics due to a lack of dynamic interaction. Therefore, this study aims to evaluate the effectiveness of the “Humanistic Digital Andragogy” approach through the integration of gamification (Kahoot) and visual thinking (Whimsical) in the Strategic Human Resource Management course. The researchers used a descriptive qualitative design with thematic analysis and collected data through feedback from students in the Master of Management Program (Semarang and Sorong classes). The results revealed that technology served as a double catalyst: Whimsical visualization effectively reduced the cognitive load of complex strategy material, while competition in Kahoot triggered positive adrenaline (eustress) that increased attention. These findings confirm that the success of technology is highly dependent on the role of lecturers as humanistic facilitators (high-touch). This synergy has been proven to change students' perceptions of HRM from merely administrative to strategic partners, as well as creating learning satisfaction that is relevant to the world of work.

The most valuable asset of a company is its employees due to their performance. The performance of PT. XYZ in recent times has tended to decline due to the heavy workload on Group A non-organic employees, which has resulted in reduced employee productivity. This study aims to determine the workload value and the level of fatigue experienced by Group A non-organic employees at PT. XYZ using the SOFI and SDS methods. It also aims to recommend efforts to reduce the workload and stress levels for Group A non-organic employees at PT. XYZ. This study is a descriptive qualitative research using interview methods and distributing questionnaires to 18 non-organic employees of group A. The results of the study indicate that the analysis of workload (fatigue) measurement using the SOFI method obtained a physical fatigue level among non-organic employees of group A at PT. XYZ with an average total score of 4.61, which means that the employees experienced a workload (fatigue) level categorized as moderate. Meanwhile, the analysis of work stress measurement using the SDS method obtained an average total score of 14, indicating that the stress level among non-organic employees of group A at PT. XYZ falls in the moderate category.

The most valuable asset of a company is its employees due to their performance. The performance of PT. XYZ in recent times has tended to decline due to the heavy workload on Group A non-organic employees, which has resulted in reduced employee productivity. This study aims to determine the workload value and the level of fatigue experienced by Group A non-organic employees at PT. XYZ using the SOFI and SDS methods. It also aims to recommend efforts to reduce the workload and stress levels for Group A non-organic employees at PT. XYZ. This study is a descriptive qualitative research using interview methods and distributing questionnaires to 18 non-organic employees of group A. The results of the study indicate that the analysis of workload (fatigue) measurement using the SOFI method obtained a physical fatigue level among non-organic employees of group A at PT. XYZ with an average total score of 4.61, which means that the employees experienced a workload (fatigue) level categorized as moderate. Meanwhile, the analysis of work stress measurement using the SDS method obtained an average total score of 14, indicating that the stress level among non-organic employees of group A at PT. XYZ falls in the moderate category.

MMP is a metal manufacturing company engaged in casting, forging, and machining processes with a three-shift work system, including night shifts that may increase mental and physical workload due to disruptions in workers’ biological rhythms. This study aims to analyze the mental and physical workload of die casting machine operators during the night shift and to propose improvement measures using the Fault Tree Analysis (FTA) method. The study involved 23 operators, with mental workload assessed using NASA-TLX and physical workload measured using CVL. The results indicate that mental workload falls into high to very high categories, with WWL values ranging from 46.6 to 97.3, where 12 operators experienced very high mental workload. The dominant contributing dimensions were effort, physical demand, and temporal demand. Meanwhile, physical workload ranged from 19.48% to 36.36% CVL, with most operators not experiencing fatigue. Although physical workload remains within acceptable limits, the high mental workload indicates the need for improvements. FTA analysis identified key contributing factors, including work methods, work systems, ergonomics, machine conditions, and the work environment. Proposed improvements include job rotation, improvements in work methods and task distribution, adjustments to the work system, enhanced machine maintenance, and ergonomics-based workplace improvements.

Postpartum depression (PPD) is a common and serious mental health disorder for mothers after givingbirth, which is a public mental health problem because it not only has a direct impact on the baby, but also on the family. The most common symptoms of PPD are overwhelming sadness, feelings of hopelessness and helplessness, moodiness, an inability to experience joy with the baby, serve anxienty, loss of appetite, poor concentration and memory, sleep disturbances, prolonged fatigue, and suicidal ideation (American Psychological Association, 2013). The design used in this study was quantitative by measuring the prevalence of postpartum depression in postpartum mothers using the EPDS form. The research was conducted at Gandapura Community Health Center, this location wa used as the research site because it had not been exposed at all regarding the use of the EPDS form as part of the initial assessment of midwifery services. A population is all elements that meet certain criteria for inclusion in a study. The population in this study was all postpartum mothers who gave birth in the obstetrics ward. The sample criteria in this study are divided into two, namely inclusion criteria and exclusion criteria. Conclusion: Postpartum guidance provided to mothers influences the risk of postpartum depression. Postpartum women who receive assistance are less likely to experience postpartum depression, and mothe who do not receive assistance are depression.

The hyper-connected work era has fundamentally blurred the temporal and psychological boundaries between professional and personal spheres, triggering a productivity paradox phenomenon where increased digital connectivity is inversely proportional to long-term cognitive efficiency. Consequently, this research aims to explore deeply and comprehensively the critical roles of cognitive resilience and digital wellbeing strategies as vital preventive mechanisms against the rising risk of burnout resulting from cumulative cognitive fatigue. Employing a qualitative approach with a rigorous literature review design, this study synthesizes extensive secondary literature retrieved from accredited academic databases and global policy reports within the last five years to analyze current trends and theoretical frameworks. The in-depth analysis reveals that cognitive resilience, significantly bolstered by metacognitive digital literacy, functions as an adaptive shield against the mounting pressures of information overload and attention fragmentation. Furthermore, the findings emphatically confirm that sustainable productivity is not achieved through borderless connectivity, but rather necessitates disciplined cognitive energy management and the strict implementation of "right to disconnect" protocols. Concluding the study, it is strongly recommended that organizations integrate comprehensive digital wellbeing policies into their work culture architecture to safeguard long-term employee performance and ensure organizational sustainability amidst the challenges of the attention economy.  

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.

Waste from used Polypropylene (PP) and High Impact Polystyrene (HIPS) plastic is problematic in its management. The purpose of this research is to obtain the fatigue life of a mixture of used PP and HIPS plastics in its pure plastic. The research method is through the stages of mixing pure PP and 50% volume of used PP, pure HIPS and 50% volume of used HIPS, injection molding of R.R. Moore standard fatigue test specimens for pure PP, pure HIPS, pure PP + used PP, and pure HIPS + used HIPS, checking the straightness and smoothness of the molded specimen surface, fatigue testing with increasing serial loads, analysis of the bending stress curve (S) against fatigue life (N). The results showed that mixing used PP and used HIPS in pure plastic affected the fatigue life at the test speed (n)=2100 rpm for recycled PP was 9.84% shorter than pure PP, and at n=1600 rpm for recycled PP it was 9.32% shorter than pure PP, while at n=2100 rpm for recycled HIPS it was 4.45% shorter than pure HIPS, and at n=1600 rpm for recycled HIPS is 4.77% shorter than pure HIPS, while the fatigue life of pure PP is 1627704 cycles and the fatigue life of pure HIPS is 1291636 cycles or the fatigue life of pure HIPS is 20.65% shorter than pure PP, the implication of which is that the addition of used PP and used HIPS reduces the fatigue life to 9.84% for PP and 4.45% for HIPS.

This research is motivated by the high risk of fatigue experienced by ship crews during voyages, which directly affects occupational safety and mental well-being. Fatigue arises from long working hours, inadequate rest time, heavy workloads, and extreme environmental conditions such as high temperatures, engine noise, and vessel vibrations. On the MT. Sultan Mahmud Badaruddin II, the problem becomes more complex due to the tight work rhythm, short berthing periods, and fast, repetitive loading–unloading activities. Harsh weather conditions, short but intensive sailing distances, and limited relaxation facilities make the crew increasingly vulnerable to both physical and mental fatigue. In addition, a work culture that tends to be authoritarian and lacks communication exacerbates psychological pressure, especially when crew members find it difficult to report their fatigue to superiors. This study uses a qualitative method through direct observation and interviews with all crew members in the deck and engine departments. The aim is to analyze the influence of the work environment and work culture on fatigue levels onboard. The results show that environmental factors such as high temperatures, narrow workspaces, and vessel instability significantly affect physical fatigue. Meanwhile, mental fatigue is triggered by ineffective communication, hierarchical pressure, and an unsupportive work culture. These findings align with the perspectives of Mathis and Jackson and comply with the provisions of the STCW 2010 and MLC 2006, which emphasize the importance of regulating working hours and fatigue management. Overall, optimizing rest hours, improving the work environment, and reforming organizational culture are required to reduce fatigue risks.

This study aims to comprehensively analyze the influence of workload and work environment on employee performance at PT Bintang Matrik Indonesia, Bekasi City, both partially and simultaneously. The background of this research lies in the importance of optimal human resource management to enhance company effectiveness and efficiency. An unbalanced workload can lead to physical and mental fatigue, reducing motivation and productivity, while an unsupportive work environment may decrease employee comfort and job satisfaction. This study uses a quantitative research method with the Slovin sampling technique and data collection through questionnaires distributed to company employees. Data analysis was conducted using classical assumption tests and multiple linear regression to examine the relationships between variables. The results indicate that both partially and simultaneously, workload and work environment have a positive and significant effect on employee performance. Therefore, the company should pay greater attention to workload balance and create a safe, comfortable, and supportive work environment to improve employee performance and loyalty.

Ironing activities in the laundry service industry are performed repeatedly and for long periods, creating a high potential for non-ergonomic work postures. At Laundry Cio’ta, ironing is carried out every day from 08:00 to 21:00 by two workers, which increases the risk of fatigue and musculoskeletal disorders due to continuous and repetitive movements. This study aims to analyze workers’ ironing postures using the REBA method to determine the level of ergonomic risk. Data were collected through direct observation and measurement of body posture angles during the ironing process. The assessment results showed a Score A of 4 and a Score B of 2, producing an initial REBA score of 4. With the addition of an activity score of +1, considering the repetitive nature of the task, the final REBA score increased to 5. This score indicates a moderate level of risk, suggesting that corrective actions are necessary to prevent long-term strain or injury. Based on these findings, ergonomic improvements such as adjusting the ironing table height, modifying the work layout, and encouraging workers to adopt better posture are recommended. Implementing short rest breaks and task variation can also help reduce physical strain and improve worker comfort and productivity.

The rapid development of the digital era has led to a major shift in the modern workplace, with over 1.5 billion people spending more than six hours daily in front of computer screens. This working condition poses significant occupational health risks, including Musculoskeletal Disorders (MSDs) such as Low Back Pain (LBP) and neck strain, with a global prevalence of 60-80%. Furthermore, prolonged screen exposure and high workload contribute to mental health issues like chronic stress and digital fatigue. This community service aimed to increase awareness among PT. XYZ employees regarding the importance of integrated ergonomics to achieve optimal productivity. The method used was an informative sharing session through a presentation and discussion. The material emphasized a three-pronged intervention approach: physical ergonomics (workstation adjustment), technology-based interventions (wearable devices, break reminder apps, and electromagnetic radiation prevention), and mental well-being integration (mindfulness and relaxation techniques). The results showed a significant increase in participant understanding of the health risks and the practical steps to implement integrated ergonomic solutions. It was found that combining technology-based reminders and mindfulness exercises can reduce health complaints by up to 40% better than physical interventions alone. The implication of this service is the recommendation for PT. XYZ to adopt an integrated ergonomic policy that addresses physical, technological, and mental aspects to create a healthier, safer, and more productive work environment for its employees.

Type 2 diabetes mellitus (DM type 2) is a chronic metabolic disorder marked by elevated blood glucose due to insulin resistance and impaired insulin secretion. Its prevalence continues to rise worldwide, including in Indonesia. Psychological stress is known to worsen glycemic control by activating the sympathetic nervous system and increasing cortisol levels, which can cause fluctuations in blood glucose. This case report aims to describe the effect of combining Benson relaxation techniques with warm foot soaking on blood glucose regulation in a type 2 DM patient. The subject was Mrs. M, a 52-year-old woman diagnosed with type 2 DM. The intervention was conducted for seven consecutive days and consisted of daily Benson relaxation followed by warm foot soaking for 15–20 minutes. Blood glucose levels were measured before and after each session using a glucometer and analyzed descriptively. After seven days, the patient’s blood glucose level decreased from 248 mg/dL to 186 mg/dL. She also reported improved relaxation, better sleep quality, reduced anxiety, and decreased fatigue. These findings suggest that Benson relaxation helps activate the parasympathetic response and reduce stress hormones, while warm foot soaking supports improved circulation and metabolic processes. In conclusion, the combination of Benson relaxation and warm foot soaking is a simple, safe, and effective complementary therapy to support blood glucose regulation in type 2 DM patients. This intervention can be integrated into self-care routines and community nursing practice as part of evidence-based non-pharmacological management.

Management of household waste in Final Disposal Sites (TPA) faces a serious problem, where most of the waste accumulates and is difficult to decompose due to its complex nature. This condition substantially inhibits natural decomposition processes and limits the effectiveness of recycling efforts. Pre-processing operations, such as sorting and crushing, which are still dominated by manual methods, are proven to be inefficient, high-risk, and require large allocations of land resources and manpower. Therefore, automated technological innovation is needed to facilitate the efficient separation of organic components from inorganic materials (packaging). This research was conducted to determine the design and structural strength analysis of a hammer mill type depackaging machine, carried out using Solidworks software. Structural analysis simulation utilizes Finite Element Analysis (FEA) to determine the structural strength of the machine. The specifications of the hammer mill type depackaging machine include a capacity of 3000 kg/hour, a hammer mill input power of 12 KW, and a rotational speed of 2500 rpm with a torque of 34.54 Nm. Meanwhile, the screw conveyor input power is 0.75 KW and the rotational speed is 20 rpm. The FEA simulation analysis results for the hammer mill type depackaging machine showed that the maximum Von Mises stress value recorded is 3,022×10^7   N⁄m^2 , the maximum displacement value measured is very minimal, namely 2,793×10^(-1)  mm, and the Factor of Safety (FOS) obtained is 8.3. This FOS value significantly exceeds the required minimum safety limit (>3), confirming that the machine design has optimal reliability, fatigue resistance, and structural integrity for operation under intensive working conditions at the TPA. The conclusion of this study indicates that the engineering design of this hammer mill type depackaging machine is safe and meets structural technical requirements to proceed to the implementation phase, potentially becoming a sustainable technological solution in improving the efficiency of waste pre-processing.

The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus are crucial. To address these shortcomings, we propose "ArchEvolve," a novel framework designed to facilitate collaborative, multi-architect decision-making. ArchEvolve employs a cooperative coevolutionary model that concurrently evolves a population of candidate architectures and distinct populations representing each architect's unique preferences. This structure guides the search towards high-quality consensus solutions that accommodate diverse, often conflicting, stakeholder viewpoints. An integrated Artificial Neural Network (ANN) serves as a preference learning module, trained on explicit team feedback to act as a surrogate evaluator. This active learning cycle substantially reduces the number of required human interactions and alleviates user fatigue. Empirical evaluation on two industrial case studies (E-Commerce System and Healthcare Management System) compared ArchEvolve to a state-of-the-art interactive baseline. Results indicate that ArchEvolve achieves statistically significant improvements in both solution quality and consensus-building. The preference learning module demonstrated over 90% accuracy in predicting team ratings and reduced human evaluations by up to 46% without compromising final solution quality. ArchEvolve provides a practical, scalable framework supporting collaborative, consensus-driven architectural design, making interactive optimization a more viable and efficient tool for real-world software engineering teams by intelligently integrating cooperative coevolutionary search with a preference learning surrogate.

Many used ABS plastic wastes have problems in their management. The aim of this research is to obtain a prediction of the fatigue life of a mixture of ABS plastic and used ABS as an injection molding product. The research method is carried out through the stages of mixing used ABS with a volume of 10%, 20%, and 30% in ABS grade A and grade B; making fatigue test specimen molds according to R. R. Moore standards, injection molding of a mixture of used ABS and ABS grade A and grade B, checking the straightness and smoothness of the specimen surface, fatigue testing with increasing serial loads, analysis and making a graph of bending stress (S) against fatigue life (N) (S-N Curve). The results of the study showed that the addition of used ABS had an effect on the fatigue life of both grade A and grade B of ABS, where the fatigue life of grade A of ABS increased with the addition of the volume percentage from 0% -30% of used ABS with the highest value at the addition of 30%, namely 43698.9 cycles, while in grade B of ABS, the fatigue life decreased with the increase in volume from 0% -30% with the highest fatigue life in grade B of ABS plastic without a mixture or 0%, namely 41377.5 cycles, the implication of which is that the addition of 0% -30% of used ABS in grade A can increase the fatigue life, but grade B of ABS actually decreases its fatigue life.

The demand for lightweight materials with high mechanical strength has driven the development of aluminum alloys, particularly Al-Mg-Si, through deformation processes such as cold rolling. This study aims to analyze the effect of varying degrees of cold rolling deformation on the grain aspect ratio and macrohardness of homogenized Al-Mg-Si alloys. Deformation was applied at three thickness reduction levels—5%, 10%, and 20%—followed by microstructural characterization using optical microscopy and macrohardness testing in accordance with ASTM E-18 standards. The results show that increasing deformation levels lead to elongated grain morphology, with the grain aspect ratio rising from 1.16 to 2.07 and macrohardness increasing from 46.64 HRE to 62 HRE. The emergence of slip lines and grain flattening indicates the occurrence of intense plastic deformation, while work hardening results from dislocation accumulation that impedes further slip motion. These findings confirm a strong correlation between microstructural evolution and mechanical property enhancement in cold-deformed Al-Mg-Si alloys. This research contributes to the optimization of cold rolling parameters to produce engineering materials with a desirable balance of strength, formability, and fatigue resistance for applications in the mining and heavy manufacturing industries.