Publication Search

Urinary incontinence is a common medical condition among older women, characterized by the involuntary leakage of urine due to impaired bladder control. This condition not only affects physical health but also has significant psychosocial impacts, including reduced self-confidence and quality of life. Non-pharmacological interventions, particularly pelvic floor muscle exercises, have been recognized as effective strategies to strengthen the bladder sphincter and pelvic floor muscles, thereby enhancing urinary retention. The present study aimed to evaluate the effectiveness of pelvic floor muscle exercises in reducing the frequency of urinary incontinence among elderly women. An experimental design with a one-group pretest–posttest approach was employed. The study population consisted of 64 elderly women receiving care at the Gunung Pati Public Health Center in Semarang, from which 45 participants were selected through purposive sampling based on inclusion criteria. Data were collected using structured questionnaires and clinical observation to assess the frequency of urinary incontinence episodes before and after the intervention. Statistical analysis was performed using the Wilcoxon signed-rank test, and the results indicated a significant reduction in urinary incontinence episodes following the exercise program, with a p-value of <0.001. These findings suggest that pelvic floor muscle exercises are a simple, cost-effective, and non-invasive intervention to manage urinary incontinence in elderly women. Implementing such exercises in community health programs can play a vital role in promoting the well-being and independence of older women. The study recommends incorporating pelvic floor muscle training into routine elderly care services and encourages further research with larger samples and longer follow-up periods to confirm the long-term benefits.

Anxiety is an emotional response that is commonly experienced by patients before surgery, including in pre sectio caesarean patients. High levels of anxiety can affect the patient's physiological and psychological condition, so appropriate handling efforts are needed. Non-pharmacological interventions, such as prayer dhikr therapy, can be used as an alternative to help reduce anxiety because it provides relaxation, calmness, and increased spirituality. This study aims to analyze the effectiveness of dhikr sholawat therapy on anxiety levels in pre sectio caesarean patients. The research design used a quasi-experiment with a pre-test and post-test control group approach. The research sample consisted of pre-sectio caesarea patients who met the inclusion criteria, then divided into two groups, namely the intervention group that was given prayer dhikr therapy and the control group that only received standard treatment. The instrument used to measure anxiety levels is the Hamilton Anxiety Rating Scale (HARS). Data analysis was carried out by statistical tests according to the distribution of data to find out the difference in results between the two groups. The results showed a significant decrease in anxiety levels in the intervention group compared to the control group (p < 0.05). These findings prove that prayer dhikr therapy is effective in reducing anxiety in pre-sectio caesarean patients. Thus, this therapy can be recommended as one of the non-pharmacological nursing interventions that support the improvement of service quality and patient comfort.

The purpose of this research is to use the six sigma approach to assess the quality of cracker manufacturing at UD. Palapa in Nganjuk Regency. This technology was chosen because it allows for quantitative measurement and analysis of product defect levels, as well as the identification of defect-causing variables. The study was carried out using the DMAIC (Define, Measure, Analyze, Improve, Control) steps and statistical methods such as Pareto diagrams, fishbone diagrams, and C-chart control charts. According to the research, the cracker manufacturing process at UD. Palapa has an average sigma value of 2.74, which is still below the six sigma (6σ) threshold.  This figure implies that the product fault rate remains fairly high.  The most common forms of faults are irregular shape and uneven thickness, which are mostly produced by machine, human, process, and raw material problems. C-chart analysis reveals that most processes are still under control, while there are a few spots beyond the control boundaries that indicate unique variances. Based on these data, it is possible to infer that UD. Palapa's quality control system is still reactive and has to be improved in order to be more proactive. Routine equipment maintenance, operator training, the introduction of standard operating procedures (SOP), and more stringent raw material selection are all possible efforts. Six Sigma deployment has been shown to provide a full view of production quality conditions, as well as a foundation for future continuous improvement programs.

This article examines the implementation of the Quality Control (QC) system at PT Yakult Indonesia Persada as part of the Field Work Lecture (KKL) activities. The main focus of the research is how the company maintains the consistency of the quality of probiotic products through thorough quality control. This research aims to provide an in-depth understanding of the implementation of QC which includes physical, chemical, microbiological testing, and quality assurance of production equipment. The methods used are direct observation in the field and literature review related to food quality standards. The results of the observation show that PT Yakult applies the principles of Good Manufacturing Practices (GMP), Statistical Process Control (SPC), and Total Quality Management (TQM) in an integrated manner in the entire production process. Quality control is carried out through Specific Gravity (SG), pH, and the number of Lactobacillus casei Shirota bacteria with a minimum standard of 6.5 billion per bottle. In addition, sterilization of production equipment is carried out in layers and validated through laboratory tests, and is supported by systematic recording of test results. These findings show that the QC system at PT Yakult not only focuses on the final product, but also covers the entire production stage. With this approach, the company is able to consistently ensure the quality, safety, and health benefits of products, as well as meet applicable food industry standards.

Dysmenorrhea is a painful cramping or aching sensation in the lower abdomen, often radiating to the lower back, hips, and thighs. This condition significantly affects daily activities, limiting women’s physical and academic performance, particularly among female students who frequently experience dysmenorrhea during menstruation. Various interventions can help prevent or reduce the prevalence and severity of dysmenorrhea, including specific physical exercises such as McKenzie exercises and Kegel exercises. McKenzie exercises focus on strengthening and mobilizing the lower back and abdominal muscles, whereas Kegel exercises target the pelvic floor muscles to enhance circulation and reduce uterine tension. The purpose of this study was to determine the difference in effectiveness between Kegel exercises and McKenzie exercises in alleviating dysmenorrhea pain among adolescents aged 12–15 years at SMP Negeri 28 Semarang. The study employed an experimental two-group pre-posttest design with a total sample of 22 female students who met the inclusion criteria. The Randomized Controlled Trial (RCT) technique was used to assign participants to the intervention groups. Pain intensity was measured using the Quadruple Visual Analog Scale (QVAS) both before and after the interventions, which were administered three times per week over a three-week period. The results showed a statistically significant reduction in pain for both groups, with a p-value of 0.001 (p < 0.05), indicating that both McKenzie and Kegel exercises effectively decreased dysmenorrhea pain. The study concluded that there is a measurable difference in the effectiveness of these two exercise interventions, emphasizing the importance of selecting appropriate physical exercises tailored to adolescent students for dysmenorrhea management. These findings provide evidence-based guidance for educators, healthcare providers, and adolescents seeking non-pharmacological strategies to reduce menstrual pain and improve quality of life.

Work fatigue is a significant issue faced by employees in Indonesia, with approximately 65% experiencing symptoms that reduce their concentration and performance. Excessive workload, particularly mental workload, can result in cognitive strain and decreased productivity. This study aims to measure the level of mental workload experienced by quality control employees at PT Delta Dunia Tekstil I using the NASA Task Load Index (NASA-TLX) method. The research also investigates the relationship between employees’ age, length of service, and perceived mental workload through T-tests and F-tests to provide a more comprehensive analysis. Data were collected from 20 quality control employees who are responsible for monitoring textile production under strict standards. Results from NASA-TLX calculations indicate that the average mental workload falls within the high category, with effort and own performance emerging as the dominant dimensions contributing to mental strain. Correlation analysis shows a negative but not statistically significant relationship between age, length of service, and mental workload, suggesting that other factors play a stronger role in shaping employees’ perceptions. The study further highlights fluctuations in employee attendance and quality performance indicators, emphasizing the importance of workload evaluation. To address these issues, recommendations include adding more operators per machine, which is projected to reduce mental workload scores by approximately 33%. Such measures can optimize task distribution, improve efficiency, and promote employee well-being. Overall, the findings suggest that systematic workload assessments using tools such as NASA-TLX are essential for enhancing productivity and supporting sustainable human resource management in the textile industry.

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.  

This study aims to analyze and improve the quality control of packaging printing production at PT XYZ by applying the Lean Six Sigma methodology. Lean Six Sigma combines waste reduction principles with statistical quality control to achieve operational excellence. The research identifies major production challenges, including high defect rates, overproduction, and ineffective inventory management, all of which contribute to increased costs and reduced efficiency. The DMAIC framework—Define, Measure, Analyze, Improve, and Control—was employed to systematically address these issues. During the Define and Measure phases, types of waste were identified and defect rates were calculated using Defects Per Million Opportunities (DPMO). In the Analyze phase, root causes were examined using a Fishbone (Ishikawa) diagram, highlighting factors related to manpower, materials, machines, and methods. The analysis revealed a sigma level of 3.2, indicating a moderate level of process quality and substantial room for improvement. To address the identified issues, several improvement strategies were proposed. These include implementing a Just-In-Time (JIT) system to reduce inventory waste, adopting the First-In-First-Out (FIFO) inventory method for better material rotation, and conducting targeted technical training for operators to minimize human error. In the Control phase, the study suggests process standardization, routine inspections, and continuous monitoring as key practices to ensure that improvements are sustained over time. The findings and recommendations from this study are expected to contribute to better quality control, reduced operational waste, and enhanced productivity in the packaging printing process. Ultimately, this approach aims to strengthen PT XYZ’s competitiveness in the printing industry by fostering a culture of continuous improvement and quality excellence.

          During the second and third trimesters of pregnancy, as fetal development progresses, pregnant women often experience lower back pain. This condition not only causes discomfort but also affects daily activities and overall quality of life. One of the non-pharmacological approaches believed to reduce lower back pain is prenatal exercise. This study aims to evaluate the effect of pregnancy exercise on reducing lower back pain among pregnant women in the second and third trimesters. This research employed a quasi-experimental design with a pre-post test approach without a control group. The sample consisted of 28 pregnant women in their second and third trimesters who met the inclusion criteria and reported experiencing lower back pain. Pain levels were assessed before and after the intervention using a valid and reliable pain scale. Data were analyzed using appropriate statistical tests, particularly the paired sample t-test. The findings revealed that the mean pain score before the intervention was 3.32 with a standard deviation of 0.772. After the intervention, the mean pain score decreased to 2.25 with a standard deviation of 1.005. Results of the paired t-test indicated a p-value of 0.000 (p < 0.05), demonstrating a significant difference in pain levels before and after pregnancy exercise. These results indicate that pregnancy exercise is effective in reducing lower back pain in women during the second and third trimesters of pregnancy. Therefore, prenatal exercise can be recommended as a safe, simple, and beneficial non-pharmacological intervention in midwifery care. It is expected that this study provides scientific evidence supporting the role of pregnancy exercise in improving maternal comfort and quality of life throughout pregnancy.

This study aims to determine the level of problematic smartphone use (PSU) and revenge sleep procrastination (RBP) among MTs/SMP students in District X, while also examining the relationship between the two variables. The problem of excessive smartphone use among adolescents is increasingly important to study because it can impact sleep quality, learning concentration, and mental health. This research approach uses a quantitative correlational method with data collection through a bold questionnaire (Google Form). The research sample consisted of 103 MTs/SMP students in District X who were selected using an incidental sampling technique. The RBP variable measurement scale was developed by the researcher with reference to aspects proposed by Kroese et al. (2014). Meanwhile, the PSU Scale was developed based on dimensions formulated by Foerster et al. (2015), including withdrawal, desire, loss of control, dependence on peers, and negative life consequences. The results of the correlation analysis showed that PSU had a very strong positive relationship with RBP (r = 0.833) and was statistically significant (p < 0.000). This means that the higher a person's tendency to experience problematic smartphone use, the greater the likelihood of revenge bedtime delay. Among the dimensions of PSU, withdrawal showed the highest correlation with RBP (r = 0.831). This was followed by negative life consequences (r = 0.778), craving (r = 0.577), loss of control (r = 0.489), and dependence on peers (r = 0.333). Overall, this study concludes that PSU plays a significant role in increasing RBP trends among students. These findings highlight the urgent need for awareness and intervention programs to reduce excessive smartphone use among adolescents. Therefore, the results of this study are expected to serve as a reference for schools and parents in designing strategies to prevent the negative impacts of smartphone use on adolescents.

PT Sinar Semesta is a company engaged in the metal casting industry. In its production process, defects were still found during the period from March 2023 to February 2024. Out of a total production of 4,950 units, there were 1,004 defective units, consisting of 534 units with flow error defects and 470 units with porosity defects. To address this issue, quality control methods such as Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) are necessary to minimize product defects, improve quality, and maintain high standards. Based on the Pareto diagram, the most dominant defect percentages are flow error defects at 53.19% and porosity defects at 46.81%. The control chart shows points beyond the upper control limit (UCL) occurring in April with 148 units, May with 145 units, and October with 149 units, and below the lower control limit (LCL) occurring in August with 35 units, January with 36 units, and February with 32 units. Based on the fault tree analysis, five main factors causing defects were identified: human, machine, raw material, method, and environment. Proposed improvements include operator training, routine machine maintenance, accurate raw material measurement, use of high-quality raw materials, pre-pouring temperature checks, increased supervision, and environmental improvements.

Dysmenorrhea, or menstrual pain, is a common gynecological problem among adolescent girls and often interferes with their daily activities, school performance, and overall quality of life. Conventional pharmacological treatments such as nonsteroidal anti-inflammatory drugs (NSAIDs) are widely used but may cause side effects with long-term consumption. Therefore, safe and natural alternatives are needed to manage menstrual pain effectively. Carrot juice, which is rich in beta-carotene, vitamin E, and other antioxidants, has been reported to possess anti-inflammatory and analgesic properties that could potentially reduce the severity of dysmenorrhea. This study aimed to determine the effect of carrot juice on reducing menstrual pain in female students at SMAN 1 Trimurjo. A pre-experimental study with a one-group pretest–posttest design was conducted involving 27 students who experienced dysmenorrhea. Pain intensity was assessed before and after the intervention using the Numeric Rating Scale (NRS). Data were analyzed using the Wilcoxon signed-rank test. The results showed that before the intervention, the majority of respondents (85.2%) reported moderate pain, while after consuming carrot juice, 92.6% reported mild pain and 7.4% reported no pain. Statistical analysis revealed a significant difference in pain levels before and after the intervention (p = 0.000, p < 0.05). These findings indicate that carrot juice is effective in reducing dysmenorrhea intensity among adolescent girls. As a safe, affordable, and easy-to-implement non-pharmacological therapy, carrot juice has the potential to be recommended as a complementary approach to menstrual pain management, especially for adolescents who seek natural remedies. Further research with larger samples and control groups is recommended to strengthen the evidence and explore the long-term benefits of carrot juice in menstrual health.

Bronchial asthma is a chronic respiratory disease that significantly impacts the quality of life of sufferers. The severity and level of asthma control are important factors in determining a patient's condition. Data from the Pulmonary Clinic of Dr. H. Moch. Ansari Saleh Regional General Hospital (RSUD) show an increase in the number of asthma patients every year, necessitating further analysis of the factors that influence the quality of life of sufferers. This study aims to analyze the relationship between severity and control levels and the quality of life of bronchial asthma patients. This study used an observational analytical design with a cross-sectional approach. The study sample consisted of 47 respondents selected using a purposive sampling method according to the inclusion criteria. The instruments used included a severity questionnaire based on the Global Initiative for Asthma (GINA) guidelines, the Asthma Control Test (ACT), and the Mini Asthma Quality of Life Questionnaire (Mini-AQLQ). Data analysis was performed using the Kendall's Tau-b test with a significance level of 0.05. The results showed that the majority of respondents were female (53.2%) and aged 31–45 years (36.2%). The highest asthma severity was mild persistent (29.8%), while the most dominant level of control was fully controlled (38.3%). The quality of life of the respondents was mostly in the moderate category (38.3%). Statistical tests showed a significant relationship between severity and quality of life (p = 0.003) and between control and quality of life (p = 0.001). It can be concluded that the higher the level of asthma severity, the lower the patient's quality of life tends to be, while better asthma control is associated with a better quality of life. These results emphasize the importance of early detection, optimal asthma control, and regular monitoring by healthcare professionals to improve patients' quality of life.

In the textile industry, quality control is a crucial aspect to ensure the stability and consistency of production results. One of the important stages in yarn production is the warping process, which has a significant influence on the quality in the subsequent process. This study aims to apply the Statistical Process Control (SPC) method to assess the quality of 40 CD KNB yarn in the warping process in the GKBI PC company, Preparation Department, and determine whether the process is already in a controlled condition. Currently, the average quality and amount of monthly yarn production show fluctuations with a downward trend of 1.64 per 5,000,000 meters in the period February–July 2024. This figure is below the company's daily production target of 1.00 per 5,000,000 meters, so the target has not been achieved. This discrepancy indicates the need for a more systematic evaluation and improvement of the quality control system. Based on the analysis of the X-Bar control chart in January 2025, two data points were found outside the control limits (UCL = 176.8; LCL = -29.5; average = 73.6), ie on January 4 and 20. The main cause of such uncontrollability is the weak yarn that comes from the rewinding process. Check sheet analysis and Pareto diagram shows that the most common factors causing thread breakage are weak threads. Furthermore, through the cause-and-effect diagram (fishbone diagram), it was identified that the factors that cause thread breakage come from four categories: human (HR), material (raw material), environment, and machine. Of the four factors, human resources and material aspects are the biggest contributors to influence. Therefore, it is recommended that quality control at PC GKBI be strengthened through training and counseling programs to employees, in order to improve skills and awareness of the importance of quality. This step is expected to reduce the rate of yarn breakage, maintain the stability of the production process, and ensure consistent achievement of company targets.

Epilepsy is a chronic neurological disorder characterized by recurrent seizures due to abnormal electrical activity in the brain. This condition can significantly impact the quality of life of sufferers, making the development of effective and safe anticonvulsant therapies a priority in pharmacological research. This study aimed to evaluate the effectiveness of various anticonvulsant drugs, including herbal candidates, in a mouse model (Mus musculus) using acute and subchronic test protocols. Seizures were induced by administering strychnine, a glycine receptor antagonist that triggers excessive neuronal excitability. Parameters observed included seizure onset (the time from strychnine administration to the onset of the first seizure) and deadtime (the time of survival after a seizure). The study involved six treatment groups: a negative control (Na-CMC), four conventional drug groups (phenytoin, diazepam, pregabalin, and gabapentin), and one herbal candidate group made from Polyalthia longifolia (glodokan tiang). The results showed that most treatment groups were able to delay seizure onset and significantly prolong deadtime compared to the negative control. Statistical analysis using ANOVA yielded a p-value <0.05, indicating a significant difference between groups. The herbal candidate Polyalthia longifolia showed promising anticonvulsant potential, although it did not fully match the effectiveness of conventional drugs such as phenytoin or diazepam. The negative control (Na-CMC) showed the fastest onset and shortest survival time, reflecting the absence of a protective effect against seizures. This study emphasizes the importance of further testing using chronic protocols and evaluating additional parameters such as plasma drug concentrations and neurological side effect profiles. The obtained data are expected to form the basis for the development of anticonvulsant therapies based on a combination of modern drugs and natural ingredients, with the hope of producing safer, more effective treatment alternatives, and potentially reducing dependence on long-term synthetic drugs.

Improving the quality of biology learning in secondary schools requires pedagogical innovations that connect academic content with real-life contexts and leverage digital technology. This study aims to analyze the effect of a contextual teaching approach assisted by interactive PowerPoint on students’ learning outcomes in the human respiratory system topic. A true experimental design with a pretest–posttest control group was employed at SMA Negeri 1 Langowan, involving two eleventh-grade classes selected through simple random sampling. The experimental class received contextual instruction integrated with interactive PowerPoint, while the control class was taught using conventional methods. Data were collected through validated achievement tests and analyzed using normality and homogeneity tests, followed by independent and paired t-tests. The results indicate a significant improvement in learning outcomes for students in the experimental class compared to the control group. The experimental group’s posttest scores were substantially higher, and the difference was statistically significant. Integrating a contextual approach with interactive visualization effectively enhanced students’ understanding of abstract biology concepts, promoted active participation, and strengthened learning motivation. These findings support constructivist theory and highlight the relevance of contextual teaching in science education aligned with the Merdeka Curriculum. The study implies the importance of implementing context-based strategies combined with simple digital media to improve biology learning effectiveness. Future research may explore its impact on non-cognitive skills such as critical thinking and scientific attitudes. Furthermore, the results of this study provide opportunities for teachers to be more creative in designing teaching materials that are not only informative but also interactive and relevant to students' lives. By utilizing media such as interactive PowerPoint, teachers can present complex biological content in a more engaging and understandable way.

Background : Self-management of hyperglycemia refers to a series of efforts carried out independently by individuals suffering from diabetes or hyperglycemia to manage and control their health condition. These efforts include regulating diet, physical activity, medication adherence, blood glucose monitoring, and preventive measures to avoid complications. Such complications may include vascular issues like heart disease and stroke, as well as neuropathic problems such as nerve damage. Proper implementation of self-management practices can help stabilize blood glucose levels and significantly improve the overall quality of life for patients. General Objective : This study aims to examine the effect of self-management on the risk of complications in patients with hyperglycemia in the working area of the Kandangan Health Center, Kediri Regency.Research Method : This research utilized a quasi-experimental design with a one-group pretest-posttest approach accompanied by a control group. The sampling technique applied was probability sampling using simple random sampling, involving a total of 45 respondents. The research instruments included the Diabetes Self-Management Questionnaire (DSMQ) and observation sheets to assess the risk of complications. The study population consisted of all hyperglycemic patients residing in Putuk Hamlet, Banaran Village, Kandangan District, Kediri Regency. Data processing was carried out through editing, coding, and tabulation, followed by data analysis using the Wilcoxon statistical test. Results : The Wilcoxon test results showed a significance value of p = 0.000 (p < 0.05), indicating a significant effect of self-management on reducing the risk of complications in hyperglycemic patients. Therefore, the alternative hypothesis (H1) was accepted. Recommendation : The implementation of self-management in hyperglycemic patients is essential to prevent long-term complications. Thus, healthcare professionals, especially nurses, are encouraged to provide continuous education regarding diabetes self-management. This will enable patients to manage their health conditions independently and reduce the risk of further complications.

Employee performance, which is a reflection of their competence in completing tasks, is very important for achieving organizational goals. Therefore, improving performance is a top priority for the company.This quantitative research aims to analyze the factors that influence employee performance in the Quality Control division of PT. Hwa Seung Indonesia, Jepara. Of the total 174 employees, 121 were used as research samples selected using the Slovin formula. Data collection was carried out through questionnaires with saturated sampling techniques. The collected data was then analyzed using various statistical methods, including multiple linear regression analysis. The research results show that the variables workload, compensation (t-value 2.865), work discipline (t-value 4.707), and motivation (t-value 4.425) together have a positive and significant influence on employee performance.

This study aims to analyze the effect of different mordant types on the quality of ecoprinted scarves, particularly in terms of color sharpness and motif clarity. A controlled experimental method was conducted by testing three types of mordants—alum, sodium acetate, and iron sulfate—on cotton fabric using the pounding technique. Each treatment was evaluated by 30 respondents to ensure statistical validity.  The results revealed significant differences (p<0.05) among the three mordants, with alum demonstrating the best performance, achieving a color sharpness score of 3.8 and motif clarity of 3.7, followed by iron sulfate (3.2 for color and 3.1 for motif), while sodium acetate yielded the lowest scores (2.6 for color and 2.9 for motif). The superiority of alum is attributed to the optimal fixation capability of Al³⁺ ions and pH stability within the range of 5.2–5.8. The research instruments were validated (r=0.92) and reliable (α=0.89).  These findings provide significant contributions to the advancement of ecoprinting techniques, particularly in mordant selection for producing high-quality textile products. 

In the era of data-driven digital commerce, Artificial Intelligence (AI)-based product personalization has become a key strategy to enhance user experience and foster customer loyalty. However, in the Indonesian e-commerce landscape, there remains a lack of empirical understanding of how personalization systems influence long-term user engagement. This study investigates the impact of AI-driven product personalization on customer loyalty among Indonesian e-commerce users. Employing a mixed-methods approach, quantitative data were collected through an online survey of 150 active users, and qualitative insights were obtained from in-depth interviews with six informants. Statistical analysis using simple linear regression revealed that personalization significantly influences customer loyalty, with a beta coefficient of 0.653 (t = 8.241, p < 0.001) and an R² value of 0.567. Qualitative findings highlight user concerns over recommendation accuracy, interface overload, and repetitive suggestions, which affect emotional satisfaction and platform attachment. This research contributes to the growing body of knowledge on AI adoption in e-commerce by integrating behavioral and technological dimensions of loyalty formation. It also offers practical implications for designing more context-sensitive personalization systems that prioritize not only algorithmic precision but also user control and experience quality.