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The quality of biometric solution products needs special attention. This is based on complaints submitted by consumers. Following up on these complaints, research needs to be conducted to find out how consumers feel about biometric solution products, find the root of the problem that affects product quality, and also find solutions that can be done to maintain the quality of this biometric solution product. This study uses a qualitative research method with a case study approach at a biometric solution provider company. The research sample is a biometric solution product produced from July 2023 to March 2025. The collaborative application of the Statistical Process Control and Root Cause Analysis methods is used to determine whether product damage is still within control limits and also to determine the main causes of the decline in product quality. The results of the study showed that the reported product damage reached 23.6%, which exceeds the maximum product damage standard determined by management, which is 10%. Although the product damage exceeds the maximum standard, the results of calculations using the control chart show that the damage is still within normal control limits. However, several factors causing product quality problems are determined by human factors, materials, methods and measurements. The lack of technical capabilities and technical documentation from the Research and Development team shows a major influence on the problems that occur. Improvement steps can be taken through improving Research and Development procedures, completeness of technical documentation, and increasing the technical capabilities of the Research and Development team.

Background: Type II Diabetes Mellitus is increasingly affecting young adults. Sleep quality is one of the factors influencing blood glucose levels. Poor sleep can impair glucose metabolism and worsen diabetic conditions. Objective: To determine the relationship between sleep quality and blood glucose levels among young adults with Type II Diabetes Mellitus at RSD Gunung Jati. Methods: This study used a quantitative approach with a cross-sectional correlational design. A total of 151 young adult respondents were selected using accidental sampling. Instruments included the Pittsburgh Sleep Quality Index (PSQI) questionnaire and a glucometer to assess sleep quality and blood glucose levels, respectively. Data were analyzed using the Spearman Rank test. Results: Statistical analysis showed a significant relationship between sleep quality and blood glucose levels, with a significance value of 0.001 (p < 0.05). Conclusion: There is a significant relationship between sleep quality and blood glucose levels among young adults with Type II Diabetes Mellitus. Good sleep quality plays a crucial role in diabetes management and glycemic control.

The objective of this study was to analyze the additional effect of eco-enzymes mixed in drinking water on the haught unit value, egg yolk index, and hatch weight of IPB-D1 chickens. A total of 96 chickens were used, comprising 72 females and 24 males. This study used a completely randomized design (CRD) with 4 treatments and 6 replicates. The treatments administered were: P1 = drinking water without eco-enzymes (control), P2 = 1 cc eco-enzymes/L drinking water/3 days, P3 = 2 cc eco-enzymes/L drinking water/3 days, P4 = 3 cc eco-enzymes/L drinking water/3 days. A total of 72 eggs were used to observe egg interior quality, with 3 eggs used per treatment per replicate. A total of 216 eggs were used for hatch weight (9 eggs per treatment and per replicate). The variables measured were egg yolk index, HU value, and hatch weight. Statistical analysis results demonstrated that there were significant differences (P<0.05) in hatched weight, HU value, and egg yolk index. Conclusion: Adding eco-enzymes to drinking water at a dose level of 2 mL/L of drinking water every 3 days can increase the egg yolk index, HU value, and hatch weight of IPB-D1 chickens. Further research is needed on eco-enzymes in chickens and different levels of eco-enzyme dosage.

Menstrual pain, also known as dysmenorrhea, is one of the most common reproductive health problems experienced by adolescent girls. This condition often recurs every month and can interfere with school attendance, concentration, and participation in daily activities. Many individuals choose pharmacological treatments such as analgesics to relieve symptoms. However, excessive use of pain relievers can lead to side effects, prompting interest in non-pharmacological approaches. One such approach is the consumption of pineapple juice, which contains beneficial compounds such as pectin, vitamin C, and the enzyme bromelain. Bromelain has anti-inflammatory properties, aids in muscle relaxation, and improves blood circulation, potentially reducing uterine muscle contractions that cause pain. This study aimed to determine the effect of pineapple juice consumption on reducing menstrual pain among adolescent girls. The research design used was pre-experimental with a pretest–posttest approach. The population included 121 adolescent girls who experienced menstrual pain, and the sample was obtained through accidental sampling. Pain quality was evaluated using observation sheets, while pain intensity was measured with the Numeric Rating Scale (NRS), which has a validity coefficient of r = 0.90 and reliability above 0.95. Before the intervention, the majority of respondents reported a pain intensity score of 6 (46.7%), with a mean score of 5.86. Following the administration of pineapple juice, pain intensity predominantly decreased to a score of 4 (86.6%), with a mean score of 3.06. The Wilcoxon test produced a p-value of 0.000 (<0.05), indicating a statistically significant difference between pre- and post-intervention pain levels. In conclusion, pineapple juice is effective in significantly reducing menstrual pain in adolescent girls. This finding supports its potential as a simple, affordable, and natural alternative to pharmacological treatments. Further research with a control group and larger sample size is recommended to strengthen the evidence.

Menstrual pain, also known as dysmenorrhea, is one of the most common reproductive health problems experienced by adolescent girls. This condition often recurs every month and can interfere with school attendance, concentration, and participation in daily activities. Many individuals choose pharmacological treatments such as analgesics to relieve symptoms. However, excessive use of pain relievers can lead to side effects, prompting interest in non-pharmacological approaches. One such approach is the consumption of pineapple juice, which contains beneficial compounds such as pectin, vitamin C, and the enzyme bromelain. Bromelain has anti-inflammatory properties, aids in muscle relaxation, and improves blood circulation, potentially reducing uterine muscle contractions that cause pain. This study aimed to determine the effect of pineapple juice consumption on reducing menstrual pain among adolescent girls. The research design used was pre-experimental with a pretest–posttest approach. The population included 121 adolescent girls who experienced menstrual pain, and the sample was obtained through accidental sampling. Pain quality was evaluated using observation sheets, while pain intensity was measured with the Numeric Rating Scale (NRS), which has a validity coefficient of r = 0.90 and reliability above 0.95. Before the intervention, the majority of respondents reported a pain intensity score of 6 (46.7%), with a mean score of 5.86. Following the administration of pineapple juice, pain intensity predominantly decreased to a score of 4 (86.6%), with a mean score of 3.06. The Wilcoxon test produced a p-value of 0.000 (<0.05), indicating a statistically significant difference between pre- and post-intervention pain levels. In conclusion, pineapple juice is effective in significantly reducing menstrual pain in adolescent girls. This finding supports its potential as a simple, affordable, and natural alternative to pharmacological treatments. Further research with a control group and larger sample size is recommended to strengthen the evidence.

Effective nursing documentation and optimal nurse performance are essential pillars of high-quality healthcare services. Despite standardised guidelines being available, incomplete documentation and low compliance rates persist in various hospital settings. This study investigated the impact of implementing the 3S-based Nursing Care Guidelines, comprising standardised nursing diagnoses (SDKI), interventions (SIKI), and outcomes (SLKI), along with structured supervision by the hospital's nursing committee, on improving documentation quality and nurse performance. Employing a true experimental pre-posttest control group design, the research involved 49 nurses allocated into three groups: control, intervention with 3S, and intervention with 3S combined with the supervision nursing committee. Data were collected through observation sheets, document audits, and performance checklists. Statistical analyses using Wilcoxon, Mann-Whitney U, and Kruskal-Wallis tests revealed significant post-intervention improvements (p = 0.000) in both outcome areas. The results affirm that integrating structured care models and active supervision effectively enhances the quality of nursing care delivery.

Agricultural waste such as pineapple crown leaves (Ananas comosus) has not been optimally utilized, despite its high cellulose fiber content, making it a potential alternative raw material for paper production. One of the main challenges in this process is controlling the paper's moisture content, as excessive water content can reduce product quality. This study aims to investigate the effect of sodium hydroxide (NaOH) concentration on the moisture content of paper made from pineapple crown leaf fibers. Three NaOH concentrations (2%, 8%, and 14%) were applied during the pulping process to remove lignin and hemicellulose, followed by gravimetric analysis of the resulting paper’s moisture content. The results showed that the 8% NaOH treatment produced the lowest moisture content of 8.35%, while the 2% NaOH treatment resulted in the highest moisture content of 10.34%. One-way ANOVA indicated that variations in NaOH concentration had a statistically significant effect on moisture content (p < 0.001). The findings revealed a non-linear relationship between NaOH concentration and moisture content, with 8% being the optimal point. A lower concentration resulted in dense fiber structures that retained water, while a higher concentration led to the formation of cellulose II, which is more hygroscopic. This study highlights the importance of optimizing NaOH concentration in paper production from agricultural waste to achieve the best quality.

This study aimed to develop a competency-based performance evaluation model for mathematics teachers at the junior secondary level. Recognizing the crucial role of teacher quality in student achievement, the study focused on measurable aspects of performance, including content mastery, instructional management, and professional commitment. A quantitative approach was employed using a research and development (R&D) framework, supported by a quasi-experimental design with pretest-posttest control groups. Data were collected via structured questionnaires, classroom observations, interviews, and expert validations through focus group discussions. Statistical analyses included descriptive statistics, ANOVA, t-tests, and confirmatory factor analysis using SPSS and LISREL. The results indicated that the developed model effectively differentiated teacher performance across various school categories, with 45% categorized as good, 53% adequate, and 2% poor. Student achievement was positively correlated, with 82% achieving the minimum competency threshold. The factor analysis confirmed a valid measurement model: F1 = 0.505ZX1 + 0.475ZX2 + 0.308ZX3, explaining 57.92% of the variance in teacher performance. The findings suggest that teacher evaluation must integrate multidimensional competencies and contextual factors to be accurate and actionable. This study contributes a validated, data-driven evaluation framework aligned with national standards and global educational expectations, offering practical implications for policy, supervision, and teacher development.

Osha Snack UMKM faces issues related to product defects, which are suspected to arise due to a lack of quality control in the production process. This study aims to identify the causes of product defects, provide improvement suggestions, and determine effective ways to control product quality. Data were collected through interviews with relevant parties and field surveys to gather information on production volume, product defects, and production activities. The data were processed by organizing it into check sheets, performing regression calculations, and analyzing it using scatter diagrams and fishbone analysis. The Statistical Process Control (SPC) method was applied to analyze, control, and improve the production process. The results show a significant relationship between production volume and the number of defective products, with the regression equation Y = 0.0764X and a coefficient of determination R² = 0.9625. The most common type of defect is broken snacks before packaging. In addition, waste products also come from product returns by buyers, which leads to raw material waste and hinders the achievement of production targets. The analysis results suggest that the UMKM should implement quality control measures in the form of process improvements, enhancement of work skills, proper machine maintenance, implementation of SOPs, and improvement of working conditions.

Children who live in today's era have the characteristic that the behavior of dependence on the internet is very high, so it requires supervision from parents to monitor and control their children's time when playing gadgets. This behavior eventually causes the main problem of sleep quality related to parenting and children's sleep patterns. The purpose of this study was to determine the relationship between parenting patterns in gadget use and sleep patterns with the quality of sleep of elementary school children at SDN 3 Baureno. This research design used a cross sectional approach, a population of 30 children at SDN 3 Baureno, which was taken by total sampling technique. Data were taken using a questionnaire which was analyzed using the Spierman Rho Test with a significance level of p = 0.05. The results showed that almost most (76.7%) parents gave permissive parenting, most children (60%) experienced disturbed sleep patterns, and most children (53.3%) had poor sleep quality. While the statistical test obtained the value of r =0.369 p=0.023 (p<0.05) which means there is a relationship between parenting patterns in the use of Gadgets with the quality of sleep of elementary school children and obtained the value of r =0.462 p=0.013 (p<0.05) which means there is a relationship between sleep patterns with the quality of sleep of elementary school children. Parents should pay more attention to how to properly use Gadgets in children with the right duration so that sleep patterns are more regular and uninterrupted and good sleep quality.

Sleep disturbances in infants can cause significant physiological and psychological impacts, such as decreased immune function, impaired cognitive development, and an increased risk of emotional problems (Tanty & Pramesti, 2023). Poor sleep not only inhibits physical growth but also affects infants’ mental development, including attention disorders, anxiety, and low cognitive abilities (Hendri & Sari, 2021). Therefore, it is important to provide effective interventions to improve infants’ sleep quality. This study aimed to determine the effect of baby massage on infant sleep quality at BPM Aida Nospita, Manunggal Village, Labuhan Deli Subdistrict, Deli Serdang Regency, North Sumatra Province, in 2025. This research employed a quasi-experimental method with a pretest–posttest design using an experimental group and a control group, also known as a pretest–posttest with control group design, which is a form of quasi-experimental research design. The population of this study consisted of all infants aged 3–6 months at BPM Aida Nospita, Manunggal Village, Labuhan Deli Subdistrict, Deli Serdang Regency, North Sumatra Province, totaling 32 infants, with 16 infants in the experimental group and 16 infants in the control group. The results of the statistical analysis using the Wilcoxon test showed a significant probability value of 0.001 (p < 0.05). This indicates that the null hypothesis (H₀) was rejected and the alternative hypothesis (H₁) was accepted, meaning that baby massage had a significant effect on sleep quality among infants at BPM Aida Nospita, Manunggal Village, Labuhan Deli Subdistrict, Deli Serdang Regency, North Sumatra Province, in 2025.

Every individual who experiences a change in role in social responsibility including being a prisoner mostly experiences psychological problems, one of which is stress and the effect of stress shown is anxiety, as a result of anxiety that cannot be handled, it has an impact on disturbing individual sleep patterns. The purpose of this study was to determine the relationship between anxiety and the quality of sleep of detainees at the Bitung District Attorney's Office. This research method is observational analytic research with a Cross Sectional study design. The sample taken amounted to 45  respondents using Purposive sampling. Data collection using a questionnaire sheet. The collected data were processed using the IBM SPSS Version 23 computer. For the analysis test using Spearman Rho with a level of significance (α < 0.05). Spearman Rho statistical test obtained a value ≤ ρ = 0.001 (α <0.005). This means that Ha is accepted or there is a significant relationship between the relationship between anxiety and the quality of sleep of detainees at the Bitung District Attorney's Office. This study found a relationship between anxiety and the quality of sleep of detainees at the Bitung District Attorney's Office. Suggestions for the results of this study to all respondents to be able to control the anxiety experienced by increasing spiritual activities so that anxiety does not become a contributing factor to sleep disorders.

This study aims to comprehensively examine the influence of the Problem-Based Learning (PBL) model integrated with the Internet of Things (IoT) on enhancing students’ problem-solving abilities in physics education. The integration of IoT into PBL is seen as a progressive approach to address the growing demand for innovative instructional strategies that promote higher-order thinking skills. A quantitative approach was adopted, utilizing a quasi-experimental design with a pretest-posttest nonequivalent control group format to assess the effectiveness of the intervention. The participants were 25 undergraduate physics students from the University of West Sulawesi, selected through saturated sampling due to the limited population size. To evaluate students’ problem-solving skills, data were collected using structured written tests designed around five key indicators: understanding the problem, describing the problem, planning the solution, executing the solution, and evaluating the results. Prior to hypothesis testing, normality of the data was assessed using the Kolmogorov-Smirnov test, followed by paired sample t-tests with IBM SPSS Statistics 23 to determine the significance of differences in pretest and posttest scores. The findings revealed a statistically significant improvement in students’ problem-solving skills following the implementation of the IoT-based PBL model, with results showing significance at the 5% level and gain scores classified as effective. These outcomes demonstrate the potential of the PBL-IoT integration to foster critical thinking and improve educational quality. Therefore, the implementation of this instructional model is recommended for physics educators seeking to enhance student engagement, problem-solving proficiency, and learning outcomes through the integration of emerging technologies.    

This study aims to comprehensively examine the influence of the Problem-Based Learning (PBL) model integrated with the Internet of Things (IoT) on enhancing students’ problem-solving abilities in physics education. The integration of IoT into PBL is seen as a progressive approach to address the growing demand for innovative instructional strategies that promote higher-order thinking skills. A quantitative approach was adopted, utilizing a quasi-experimental design with a pretest-posttest nonequivalent control group format to assess the effectiveness of the intervention. The participants were 25 undergraduate physics students from the University of West Sulawesi, selected through saturated sampling due to the limited population size. To evaluate students’ problem-solving skills, data were collected using structured written tests designed around five key indicators: understanding the problem, describing the problem, planning the solution, executing the solution, and evaluating the results. Prior to hypothesis testing, normality of the data was assessed using the Kolmogorov-Smirnov test, followed by paired sample t-tests with IBM SPSS Statistics 23 to determine the significance of differences in pretest and posttest scores. The findings revealed a statistically significant improvement in students’ problem-solving skills following the implementation of the IoT-based PBL model, with results showing significance at the 5% level and gain scores classified as effective. These outcomes demonstrate the potential of the PBL-IoT integration to foster critical thinking and improve educational quality. Therefore, the implementation of this instructional model is recommended for physics educators seeking to enhance student engagement, problem-solving proficiency, and learning outcomes through the integration of emerging technologies.

Mustofa Bakery is one of the businesses in Sukoharjo that operates in the food sector. The purpose of this study is to analyze product quality control using the Statistical Quality Control (SQC) method to reduce the number of damaged products and analyze the factors that cause product damage at Mustofa Bakery. The type of data used in this study is quantitative data. The data source used in this study is secondary data. Data collection methods by interview and observation. The data analysis technique used in this study uses the Statistical Quality Control (SQC) method. Based on the results of the research that has been done, it can be concluded that in March, April, and October it still exceeds the standard limit of production damage that has been set by Mustofa Bakery in Sukoharjo by 2%. The application of quality control with SQC can reduce the number of damaged products at Mustofa Bakery in Sukoharjo, proven to be true. The results of the Pareto Diagram of the types of damage that often occur are damage due to burning, 1,719 breads or 35.25%, damage due to inappropriate shape, namely 1,607 breads or 32.96%, and damage due to inappropriate texture as much as 1,550 breads or 31.79%. The results of the cause-and-effect diagram (fishbone) of the factors of product damage that occurred at Mustofa Bakery in Sukoharjo occurred due to machines, humans, methods, and raw materials.

Product quality is a key factor in enhancing a company's competitiveness. PT Nugraha Potong Tekuk, a producer of MPGG products, experienced a significant increase in the defect rate, reaching 11% of total production during the period from June 24 to July 16, 2024. This study aims to analyze the defect rate, identify the main causes, and provide improvement recommendations. The study follows the Six Sigma methodology, including the Define, Measure, Analyze, Improve, and Control (DMAIC) phases. Based on P-Chart analysis, the production process is within statistical control limits, but the defect rate still requires improvement. Two main types of defects were identified: unevenness and size defects, each accounting for 50% of the total defects. Fishbone diagram analysis revealed four main contributing factors: people, machines, materials, and environment. The people factor includes lack of operator skills and operator fatigue, while the machine factor covers worn-out tools and uncalibrated measuring instruments. The material factor is related to low-quality raw materials, and the environmental factor includes poor lighting and unstable work surfaces. Improvement recommendations include operator training, routine machine maintenance, quality control of raw materials, and improvement of the work environment. This study is expected to help PT Nugraha Potong Tekuk enhance product quality, reduce defect rates, and maintain competitiveness in the market.

Didik Bag Convection is a manufacturing business specializing in bag production. However, its production activities often encounter issues related to product quality, such as defects caused by employees' lack of understanding of new sewing machines, the absence of standard operating procedures (SOPs), and an unsupportive work environment. To address these issues, quality control measures are necessary, which can be analyzed using Statistical Process Control (SPC) to identify the root causes of defects in product quality and production processes. The quality control analysis techniques employed include Check Sheets, Pareto Diagrams, Control Charts (P-Charts), and Fishbone Diagrams (Cause-and-Effect Diagrams). The results of this study indicate that the quality control at Didik Bag Convection is within acceptable limits as it falls within normal control boundaries. The number of defective products remains within a reasonable threshold. Based on the Pareto Diagram, damaged stitching defects account for the highest proportion of defects, making up 43.28% of the total defects. Improvements to address stitching defects are needed, which can be achieved using the Fishbone Diagram by focusing on the factors of Man (human resources), Material (raw materials), Machine, Method, and Environmental indicators that influence product defects during production.

PT. XYZ is an international company operating in the energy sector, especially oil and gas, with a focus on fabrication and construction activities for large-scale projects. One of the main production processes that is very influential is welding. To ensure welding quality, PT. XYZ uses the Non-Destructive Testing – Ultrasonic Testing (NDT-UT) method. However, during the inspection process, problems are often found in the form of rejects due to defects that do not meet welding quality standards. Some types of defects detected include LOF (Lack of Fusion), LOP (Lack of Penetration), and ESI (Excessive Spatter Inclusion). This research aims to determine the percentage of the most dominant welding defects, identify factors that cause defects, and provide recommendations for improvements to improve welding quality. The method used is Statistical Quality Control (SQC) with the help of tools such as check sheets, histograms, Pareto diagrams, scatter diagrams, control charts and fishbone diagrams. Based on the data collected, a LOF defect of 5,434 mm was found, an ESI defect of 1,990 mm, and an LOP defect of 1,030 mm. SQC analysis shows that the dominant defect is LOF with a percentage of 64%. The main causal factors come from methods, humans, machines and materials. Therefore, companies need to make improvements and developments to reduce product defects so that they can improve welding quality.

This study aims to analyze the effect of implementing learning media through the Quizizz application on student learning outcomes in grade V. This study uses an experimental design by comparing two groups, namely the experimental class using Quizizz and the control class using conventional learning methods. The research instrument is a learning outcome test consisting of pretest and posttest questions. The results of the study indicate that the application of Quizizz can significantly improve student learning outcomes. Statistical tests conducted on pretest and posttest data show significant differences between the experimental class and the control class. The results of the validity and reliability of the instrument also show that the test used has good quality. Based on these findings, it can be concluded that the use of Quizizz as a learning medium can improve student learning outcomes and can be applied in the learning process to improve teaching effectiveness.  

This study examines the effectiveness of the experimental method in improving the learning outcomes and learning motivation of third-grade elementary school students in science subjects. The research employed a quasi-experimental design with a pretest-posttest control group design, involving an experimental group taught using the experimental method and a control group taught with conventional methods. Data were collected using tests, questionnaires, and observation sheets. The findings reveal that the experimental method significantly enhances both learning outcomes and motivation compared to conventional methods. Statistical analysis using t-tests showed a significant difference (p < 0.05) between the experimental and control groups in terms of posttest scores and motivation levels. The experimental method proved effective in promoting active student engagement, deeper conceptual understanding, and intrinsic motivation. This method is recommended as a strategy to improve science learning quality in elementary schools.