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Background: One of the factors that can trigger diabetes mellitus is a diet high in carbohydrates. Therefore, it is important to educate the community to adopt a healthy lifestyle in order to prevent various diseases, particularly diabetes mellitus. Objective: The objective of this health education activity on the prevention and management of diabetes mellitus through the implementation of a healthy lifestyle is to improve the knowledge of families of diabetes mellitus patients regarding prevention and management by applying healthy lifestyle practices. Methods: The activity was carried out for patients and their families using demonstration and discussion methods supported by leaflet media. Results: The counseling activity successfully increased respondents’ knowledge about the importance of preventing and managing diabetes mellitus through the implementation of a healthy lifestyle.Conclusion: Of the four respondents who attended the health education session on the prevention and management of diabetes mellitus through healthy lifestyle implementation, all participants demonstrated an understanding of the importance of adopting a healthy lifestyle for preventing and managing diabetes mellitus.

Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia which can lead to serious complications if not properly managed. This community service activity aimed to increase public knowledge regarding diabetes mellitus and its prevention among residents of Rejomulyo Village, Jati Agung District, South Lampung. The method used was health education through lectures supported by leaflets and blood glucose screening, followed by evaluation using pre-test and post-test. A total of 25 community members participated in this activity. The results showed a significant improvement in participants’ knowledge after the educational intervention. Pre-test results indicated limited understanding of blood glucose control and dietary management, while post-test results showed increased knowledge levels in both aspects. This activity demonstrates that health education is effective in improving community awareness and knowledge regarding diabetes mellitus prevention and management. This educational program is effective in increasing the knowledge of the people of Rejomulyo Village, Jati Agung District, South Lampung Regency regarding diabetes mellitus.

Depression is one of the mental health problems that often arise in patients with chronic diseases, such as diabetes mellitus, hypertension, and chronic kidney failure. This condition not only impacts the patient's quality of life, but also affects the treatment process and the burden on the family. However, mental health literacy in the community is still low, so targeted preventive and curative efforts are needed. The Community Service Program (PKM) aims to improve people's mental health through educational interventions with scientific booklet media that are easy to understand and apply. The activity method is carried out in a participatory manner, including the preparation stage, socialization, educational implementation, and evaluation. Education is provided to the community with a focus on preventing depression through a healthy lifestyle, stress management skills, and early intervention efforts by seeking professional support. Evaluation is carried out through pre-post tests, observations, and group discussions. The results of the activity showed an increase in public knowledge about depression, a change in attitudes to be more open in expressing feelings, as well as practical skills in relaxation, maintaining sleep patterns, and building social support. Participants also better understand the importance of seeking professional help when depressive symptoms are getting worse. The conclusion of this PKM is that the scientific booklet has proven to be effective as a preventive and curative educational intervention medium, and can be an innovative strategy in improving the mental health of people affected by chronic diseases.

Diabetes Mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both. Hyperglycemia is a medical condition in the form of an increase in glucose levels beyond normal limits which is a characteristic of several diseases, especially Diabetes Mellitus, in addition to various other conditions. Diabetes Mellitus is currently a global health threat. Classification is one of the techniques of data mining that can be used to help predict the results of the classification of types of diabetes using the naïve Bayes algorithm. Testing was carried out using 5 evaluation models including rapid miner with 3 options, namely use training set, 5 Fold Cross-Validation, 10 Fold Cross-Validation, and 2 other evaluation models, namely Microsoft Excel and Python. Testing data regarding Diabetes Mellitus has high accuracy in the excel evaluation model, which is 89.00% compared to other evaluation models. Meanwhile, the lowest accuracy is the Python evaluation model which obtains an accuracy of 86.36%. The Naïve Bayes algorithm can be said to be one of the most effective algorithms, both in terms of calculations and the final results, where the test can be used as a basis for diabetes mellitus considering the accuracy results are above 85%.

Diabetes Mellitus is a disease caused by the failure of the pancreas organ in producing the hormone insulin in excess causing increased blood sugar levels and resulting in a lack of insulin. This study discusses the application of the k-means clustering method to determine risk factors for diabetes mellitus. By using the clustering method, data will be grouped into several clusters or groups which in this study compare by applying several data mining tools such as RapidMiner, SPSS, WEKA, and Python. From the results of the comparison carried out resulted in 5 calculations, namely the manual calculation of cluster 1 with a ratio value of 73% being the first priority, calculations using RapidMiner resulting in cluster 3 with a ratio value of 58% being the first priority, calculations using SPSS cluster 2 with a ratio value of 34% being the first priority, and calculations using Python produce cluster 1 with a ratio value of 55% being the first priority.

Diabetes Mellitus is a chronic disease that requires early detection to prevent serious complications. This study aims to implement the Artificial Neural Network (ANN) algorithm with the Backpropagation method to predict the risk of diabetes. The dataset used is the Pima Indians Diabetes Dataset, consisting of 768 medical records with 8 feature attributes. This study employs the Multi-Layer Perceptron method with an architecture of 8 input neurons, two hidden layers, and 1 output neuron. Model evaluation is conducted using a Confusion Matrix to measure accuracy levels. The test results show that the model is capable of predicting diabetes diagnosis with an accuracy rate of 76.62%. Based on these results, it can be concluded that the Backpropagation algorithm is effective as an alternative method for early detection of diabetes, although further development is needed to improve the model's sensitivity to positive cases.  

Diabetic nephropathy is a chronic complication resulting from hyperglycemia, which triggers oxidative stress and inflammation, leading to progressive structural and functional kidney damage. Orange peel and Aloe vera contain bioactive compounds with antioxidant and antifibrotic properties that may protect the kidneys from diabetes induced injury. Nanoemulsion delivery systems can enhance the bioavailability of these extracts in the body. This experimental study aimed to analyze the nephroprotective effects of orange peel and Aloe vera nanoemulsion in a diabetic nephropathy rat model, including glomerular morphology and kidney function. A post-test only control group design was used on Wistar rats divided into five groups: positive control, negative control, and three treatment groups receiving varying nanoemulsion doses. Glomerular structure was evaluated by assessing the number of glomeruli exhibiting synechiae and analyzed using the Kruskal–Wallis test due to non-normal data distribution, yielding p=0.2387 (p>0.05), indicating no significant differences among groups. Urea levels were elevated above normal, whereas creatinine levels remained within normal limits. Although not statistically significant, the treatment groups demonstrated nephroprotective tendencies, shown by improvements in glomerular synechiae in the diabetic nephropathy model.

Gestational Diabetes Mellitus (GDM) is a pregnancy-related metabolic disorder that poses health risks to both mother and fetus if not detected early, requiring accurate prediction methods for early screening and clinical decision-making. This study applies the Random Forest algorithm to detect GDM risk using clinical data from the Pima Indian Dataset. Data preprocessing included handling missing values, standardization, feature engineering, and a 70:30 train–test split. Two models were developed: a baseline and an optimized model using GridSearchCV hyperparameter tuning, validated with 5-fold cross-validation. Performance was assessed using a classification report, confusion matrix, and ROC–AUC. Results show that the optimized model outperforms the baseline, achieving 88% accuracy, an AUC of  93%, and average recall of 81%–85%. Compared to previous studies, this approach demonstrates improved predictive performance. The findings indicate that combining Random Forest with comprehensive preprocessing, feature engineering, and model optimization is effective and feasible for developing a medical decision support system for early GDM risk screening.

Diabetes mellitus is the second leading cause of death worldwide after cardiovascular disease. This condition causes physical and psychological burdens. Quality of life is influenced by various aspects, including the ongoing special needs of diabetes mellitus patients. Family support is a form of assistance provided by family members to provide physical and psychological comfort when someone is ill. This study aims to determine the relationship between family support and quality of life of diabetes mellitus patients at Santa Elisabeth Hospital Medan in 2024. This type of research is quantitative with a correlational design and a cross-sectional approach. The sampling technique used purposive sampling with a sample size of 80 respondents. Inclusion criteria included patients who had been diagnosed with diabetes mellitus for more than one year, were accompanied by their family, and were able to communicate in Indonesian. Data collection was conducted using the HDFSS questionnaire and the DQOL questionnaire. The results showed high family support and a high quality of life for diabetes mellitus patients. The Spearman statistical test produced a p-value of 0.048 and a correlation of 0.222. Thus, there is a positive relationship between family support and quality of life for diabetes mellitus patients. This means that the higher the family support, the better the patient's quality of life. Based on the results of this study, hospitals are advised to provide education regarding the importance of family support in influencing the quality of life of diabetes mellitus patients.

Sugar consumption in Indonesia remains high, with diabetes affecting 20.4 million people. This condition has prompted the government to introduce an excise policy on Minuman Berpemanis Dalam Kemasan (MBDK) to reduce sugar intake. Social media, particularly the X platform, serves as a medium for the public to express their opinions regarding this policy. This study aims to analyze public sentiment toward the MBDK excise policy using a lexicon-based approach for data labeling and the Multinomial Naive Bayes algorithm with unigram and bigram feature extraction. The initial results show that the highest performance was achieved using 5-Fold Cross Validation, with an average accuracy of 83%, precision of 84%, recall of 75%, and an F1-Score of 77%. After applying data balancing using Stratified Cross Validation combined with Borderline-SMOTE and limiting the features to the 700 most frequent terms, the model’s performance improved. The best results were obtained with 10-Fold Cross Validation, achieving 86% accuracy, 84% precision, 83% recall, and an F1-Score of 83%. These findings indicate that the Multinomial Naive Bayes model can effectively classify public sentiment regarding the MBDK excise policy after the data balancing process.

Background: Diabetes mellitus is a chronic metabolic disorder caused by inadequate insulin action. Poor disease control can lead to complications such as neuropathy, commonly marked by tingling or sensory loss. Effective prevention requires structured management through the five pillars of diabetes care. This case study describes the application of these pillars in a patient with hyperglycemia. Case: A 58-year-old male with diabetes mellitus presented with reduced sensation in the feet, abdominal discomfort, and consistently elevated blood glucose levels. The patient had limited disease knowledge and misconceptions related to diabetes self-management. Intervention: Education on the five pillars of diabetes was provided using a structured approach consisting of three self-care pillars and two collaborative pillars. Leaflet-based educational materials developed by the author were used to facilitate understanding for both the patient and family. Results: Following the intervention, the patient demonstrated increased knowledge, awareness, and improved ability to manage hyperglycemia. The family also showed enhanced understanding and support for diabetes care. Conclusion: Nurse-led education using the five pillars of diabetes effectively improves knowledge, awareness, and self-management abilities in individuals with diabetes mellitus, contributing to better glycemic control and prevention of complications.

Diabetes mellitus (DM) is one of the global health challenges that continues to rise, including in Indonesia. However, the lack of education and counseling from pharmacists regarding the use of natural ingredients medicines has the potential to affect the effectiveness of treatment and the management of DM. This study aims to measure the level of knowledge, attitudes, and behaviour of DM patients, related to the use of natural ingredient drugs in DM management. This study uses a cross-sectional method design, starting with the collection of quantitative data. Sampling was conducted using purposive sampling technique over a period of four months. The research involved 101 DM patients from 15 pharmacies in Kendal Regency. The level of knowledge (44.6%), attitude (66.3%), and behaviour (39.6%) of patients in the moderate category. However, the limited knowledge of pharmacists remains a barrier to optimizing pharmaceutical services related to educating patients about natural ingredient medications.

Diabetes mellitus adalah penyakit gangguan metabolisme yang disebabkan oleh defisiensi sekresi insulin, kerusakan sel Beta pankreas, atau resistensi insulin sebagai akibat insulin yang tidak digunakan. DM secara progresif menyebabkan terjadinya komplikasi makrovaskuler, mikrovaskuler, dan neuropatik kronis yang mengancam jiwa. Selain berdampak pada masalah kesehatan, DM juga memiliki konsekuensi ekonomi yang besar. Biaya pengobatan meningkat khususnya apabila terjadi komplikasi jangka panjang dan pilihan pengobatan modern. Perubahan gaya hidup dapat meningkatkan kesehatan dan kualitas hidup sehingga penderita tidak mengalami komplikasi. Modifikasi gaya hidup dilakukan dengan mengurangi asupan energi, meningkatkan aktivitas fisik sebagai terapi utama untuk pasien DM yang obesitas. Penurunan berat badan dikombinasikan dengan peningkatan aktivitas dapat meningkatkan sensitivitas insulin dan kontrol glikemik serta mencegah perkembangan DM tipe 2 terhadap risiko tinggi gangguan toleransi glukosa. Target pengabdian masyarakat ini adalah meningkatkan pengetahuan, dan kemampuan penderita diabetes mellitus tipe 2 dalam melakukan modifikasi gaya hidup guna mencegah komplikasi diabetes. Kegiatan  ini dilakukan di layanan kesehatan praktik mandiri bidan (LKPMB) dengan melibatkan mitra dari lahan yaitu bidan dan tim kesehatan terkait dalam bentuk pemberian edukasi dan pelatihan keterampilan mengenai cara melakukan menejemen gaya hidup. Hasil evaluasi menunjukkan pemahaman peserta menjadi lebih baik tentang modifikasi gaya hidup dan memiliki motivasi untuk diterapkan dalam kehidupan sehari-hari

Diabetes mellitus is a non-communicable disease that causes global health problems in society. The International Diabetes Federation predicts that the prevalence of diabetes worldwide will increase to 853 million by 2050. The increase in the number of diabetes patients is due to unhealthy lifestyle habits, such as lack of physical activity. Therefore, interventions such as foot exercises and warm water baths are needed to help control blood glucose levels. The purpose of this study was to determine the effectiveness of a combination of foot exercises and warm water baths in reducing blood glucose levels in patients with diabetes mellitus. The study design used a descriptive case study. The sample size was n=2 people, conducted from May 25, 2025, to May 27, 2025, in the Sukoanyar Village RT 03/RW 03 area, Pakis District, Malang City. The results of this study showed that after three consecutive days of intervention, there was a decrease in blood glucose levels in both research subjects. In Mrs. S, the initial GDS level of 360 mg/dl decreased to 240 mg/dl after the third day of intervention. Meanwhile, in Mr. D, the initial GDS level of 349 mg/dl decreased to 220 mg/dl after the same intervention. Thus, the combination therapy intervention of foot exercises and foot soaking in warm water can lower blood glucose levels in diabetes mellitus patients.

Persistent elevation of blood glucose levels defines diabetes mellitus, a chronic metabolic disorder that occurs when insulin production is insufficient, diminished sensitivity of insulin receptors, or a combination of both factors. The medicinal properties of red ginger (Zingiber officinale var. rubrum) are attributed to its rich content of bioactive compounds, including gingerol and shogaol, which are considered key contributors to its various therapeutic effects. The effectiveness of red ginger extract in lowering blood glucose levels in experimental mice was evaluated in this study. A true experimental design with a quantitative approach was applied, employing a pretest–posttest control group format. The study involved twelve samples, which were randomly allocated into four separate groups. The treatment phase was conducted over a period of seven days. Findings revealed mean values of 10.4 prior to the intervention and 15.2 afterward, indicating a notable increase. A significant difference between pre-treatment and post-treatment measurements in group K1 was revealed by the statistical analysis, which yielded a P-value of 0.001 (P < 0.05). It was observed that red ginger extract, given at 100 mg per kilogram of body weight, effectively reduced blood glucose levels in the mice studied..

Diabetes mellitus (DM) is a metabolic disease characterized by elevated blood glucose levels. This condition includes several types, such as type 1 and type 2 diabetes. It occurs when the body is unable to produce enough insulin, experiences impaired insulin function, or faces a combination of both. As a result, glucose cannot be effectively absorbed by the body’s cells and accumulates in the bloodstream, leading to high blood sugar or hyperglycemia. If this condition persists, the buildup of glucose can cause various disorders in different organs. Without proper management, diabetes may lead to severe and life-threatening complications. Chronic hyperglycemia in diabetic patients is associated with long-term damage, dysfunction, and even failure of vital organs such as the eyes, kidneys, nerves, heart, and blood vessels. In this activity, percentage-based methods and demonstrations of blood glucose testing were used as educational tools for students. The results showed that students’ awareness of the dangers of elevated blood sugar levels remains low. Many of them are still unfamiliar with the importance of regular blood glucose monitoring and maintaining a healthy lifestyle to prevent diabetes. Therefore, continuous efforts are needed to provide education and outreach on the prevention and early management of diabetes mellitus.

The prevalence of chronic diseases in Jambi City has tended to increase in the last three years, especially hypertension and diabetes mellitus. Chronic diseases that are high risk, high volume and high cost have an impact on the household economy of sufferers who tend to incur health costs that exceed the family's financial capacity (catastrophic). The existence of the Chronic Disease Management Program (Prolanis) from BPJS Health should contribute to reducing the number of chronic diseases, reducing the burden of disease and improving the social relations of chronic disease sufferers, however the coverage of Prolanis activity is still low and several responses from community experience indicate there are problems with the acceptability of the program. This research aims to measure the level of community acceptability of health interventions and social relations in the Prolanis practice as assessed by analyzing affective attitudes, burden, ethics, intervention coherence, costs, perceived effectiveness and self-confidence of chronic disease sufferers in Jambi City in 2023. The research was conducted with Quantitative research methods use a cross-sectional design. Respondents were selected based on a purposive sampling technique totaling 180 respondents spread across five Puskesmas work areas in Jambi City. The research instrument is a questionnaire. The research results show that the indicators of burden, ethics and effectiveness are the most dominant factors in influencing the acceptability of Prolanis participants. As a recommendation, it is suggested to the government and BPJS Health to increase public understanding of the importance of using Prolanis in an effort to reduce the number of chronic diseases in Jambi City.

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.

Diabetes Mellitus is a common non-communicable disease in the community and is now a global health problem with prevalence rates that continue to increase every year. Age and gender are thought to play a role in influencing the incidence of diabetes mellitus. This study aims to analyze the relationship between age and gender with the incidence of diabetes mellitus in the community in the Jaya Baru Health Center Work Area, Banda Aceh. The research design used was analytical with a cross-sectional approach. The population in this study amounted to 552 people, with a sample of 85 respondents obtained through the Proportional Random Sampling technique. The study was conducted in the Jaya Baru Health Center Work Area, Banda Aceh from May 3 to 15, 2025. Data analysis was carried out univariately and bivariately using the chi-square test. Data collection was carried out through questionnaires and random blood sugar level examinations. The results of the study showed a significant relationship between age and the incidence of diabetes mellitus (ρ-Value = 0.008), and there was no significant relationship between gender and the incidence of diabetes mellitus (ρ-Value = 0.650). In conclusion, there is a significant relationship between age and the incidence of diabetes mellitus, but there is no significant relationship between gender and the incidence of diabetes mellitus in the community in the Working Area of ​​the Jaya Baru Banda Aceh Health Center. It is hoped that the community will increase awareness of the importance of regular health checks, especially individuals in the at-risk age group and the more vulnerable gender.

Type 2 Diabetes Mellitus is a chronic disease that not only causes physical disorders, but also has an impact on the patient's psychological condition, especially increased stress levels. Unmanaged stress can worsen medical conditions, decrease adherence to treatment, and negatively impact the patient's quality of life. Social support is known to have an important role as a protective factor in helping patients cope with psychological burden. This study aimed to analyze the relationship between social support and stress levels in patients with Type 2 Diabetes Mellitus. The research design used was descriptive correlation with a cross-sectional approach, involving [number of respondents] patients selected with the [mention sampling technique]. The research instrument used a validated social support questionnaire and stress scale. The data were analyzed by the Pearson/Spearman correlation test according to the data distribution. The results showed that there was a significant relationship between social support and stress levels in patients with Type 2 Diabetes Mellitus (p < 0.05), with a negative correlation direction, which means that the higher the social support received by the patient, the lower the level of stress experienced. These findings confirm the importance of the role of family, health workers, and the social environment in supporting patients to manage stress and improve quality of life. This study recommends the need for social support-based interventions in diabetes management programs in health services.