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Pendampingan Kesehatan Dan Pemeriksaan Tensi Darah Pada Posyandu Lansia Untuk Meningkatkan Kesadaran Kesehatan Lansia Afrizal Hasan; Khairunnisa Batubara; Shandra; Wiyanna Mathofani Siregar
Jurnal Pengabdian Keperawatan Dan Kesehatan Holistik Vol. 2 No. 1 (2026): Jurnal Pengabdian Keperawatan Dan Kesehatan Holistik - Januari
Publisher : LPPM AKPER GITA MATURA ABADI KISARAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65386/jpkkh.v1i1.47

Abstract

Hypertension is one of the major health problems among the elderly and often goes unnoticed due to the lack of apparent symptoms. Limited routine blood pressure monitoring and low health awareness contribute to an increased risk of complications in older adults. This community service program aimed to improve health awareness among the elderly through health assistance and blood pressure screening at an elderly integrated health post (Posyandu Lansia). The program employed a promotive and preventive approach by conducting individual blood pressure measurements, health assistance, and health education related to hypertension and healthy lifestyle practices. The activity involved 30 elderly participants registered at the Posyandu. The results showed that 40% of the participants were classified as hypertensive, 33% as pre-hypertensive, and 27% had normal blood pressure levels. Evaluation of participants’ understanding indicated that approximately 80% of the elderly were able to comprehend the educational materials provided. In addition, the level of participation and enthusiasm during the activities was high. This program had a positive impact on increasing awareness of the importance of regular blood pressure monitoring and self-management of health among the elderly. Therefore, health assistance through Posyandu Lansia can be an effective strategy for early detection and prevention of hypertension in the elderly.
Pemanfaatan Ular Tangga Edukatif untuk Menurunkan Stres dan Meningkatkan Kadar Hb Remaja Khairunnisa Batubara; Afrizal Hasan; Shandra; Wiyanna Mathofani Siregar; Naila Khalis; Salsa Billa; M. Hafinawa Husaini
Jurnal Pengabdian Keperawatan Dan Kesehatan Holistik Vol. 2 No. 2 (2026): Jurnal Pengabdian Keperawatan Dan Kesehatan Holistik - Juli
Publisher : LPPM AKPER GITA MATURA ABADI KISARAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65386/jpkkh.v2i2.52

Abstract

Teenagers are particularly susceptible to psychological stress, which can affect physiological problems like low hemoglobin (Hb) levels. Adolescents who experience unmanaged stress may experience worsening health and a higher risk of anemia. The purpose of this community service project is to evaluate how well instructional snakes and ladders media may lower stress levels and raise hemoglobin levels in teenagers. Thirty teenagers aged 15-17 years were subjected to an educational-participatory approach using a pretest-posttest strategy. For four weeks, the intervention was implemented using a modified version of the snakes and ladders game that included resources on stress reduction, healthy eating, and preventing anemia. An adolescent stress scale questionnaire was used to gauge stress levels, and a digital hemoglobinometer was used to assess hemoglobin levels both before and after the intervention. The activity's findings demonstrated that adolescents' average stress scores significantly decreased following the intervention, while their average hemoglobin levels increased. Teenagers' active involvement in the game also improved their comprehension of stress management and the significance of iron consumption. The instructional snakes and ladders medium has been shown to be a creative, entertaining, and successful method for promoting teenagers' physical and mental well-being.
The Relationship Between Health Locus of Control and Vulnerability and Treatment Adherence in Pulmonary TB Patients at Setio Husodo Hospital: Health Locus of Control and Vulnerability Zulfahri Lubis; Indahwati; Kristina; Afrizal Hasan
Jurnal Keperawatan Dan Kesehatan Holistik Vol. 2 No. 1 (2026): Jurnal Keperawatan & Kesehatan Holistik - Januari
Publisher : LPPM AKPER GITA MATURA ABADI KISARAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65386/jkkh.v2i1.48

Abstract

ABSTRACT The rise in the count of tuberculosis patientss tems from the low degreeof patient adherence in using anti-tuberculosis medications,which is impacted by the level of insight regarding tuberculosis,drive to heal,remoteness,health care expenses, drug adverse effects,familial backing, and the function of medical personnel.. This study is to determine the relationship between Health Locus of Control and Vulnerability with Treatment Compliance in Tuberculosis patients. The sort of research carried outis an analytical design poll utilizin ga cross- sectional perspective, the quantity of samples in this investigation comprised 27 pulmonary TB sufferers via purposive selection. The data analysis used was Rank Spearman. The findings of the research indicated a noteworthy association between Health Locus of Control and Treatment Adherence among Pulmonary TB sufferers. 0.000 < 0.05,featuring a correlation coefficient of 0.877. There is a significant relationship between vulnerability and Treatment Compliance in Pulmonary TB patients. 0.001 < 0.05. with a correlation coefficient of 0.598. The conclusion of this study is that there is a relationship between Health locus of control and Vulnerability with Treatment Compliance in Pulmonary TB Patients. It's hoped that with this research, health care staff will be more proactive in delivering health in struction concerning dimensions of locus of control, susceptibility to adhering to pulmonary TB therapy.
Perbandingan Genetic Algorithm dan Ant Colony Optimization dalam Optimasi Penjadwalan Perawat di Rumah Sakit Sri Dewi; Afrizal Hasan
Jurnal Nasional Teknologi Komputer Vol 6 No 1 (2026): Januari 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v6i1.351

Abstract

Nurse scheduling is a complex problem that must satisfy various constraints, such as shift requirements, work hour constraints, and nurse preferences. This study compares the performance of two metaheuristic algorithms, Genetic Algorithm (GA) and Ant Colony Optimization (ACO), with each algorithm producing the best schedule. The evaluation is based on solution quality, convergence, multi-run consistency, and computation time. The results show that ACO produces higher solution quality and consistency, with an average fitness of 8268.06 and a desired shift fulfillment rate of 86%. Conversely, GA excels in time efficiency, with an average execution time of 15.07 seconds, significantly faster than ACO's 72.05 seconds. This difference creates a trade-off between optimal quality and execution speed. These findings suggest that algorithm selection is highly dependent on the hospital's operational needs. ACO, for example, is better suited for nurse satisfaction, while GA is better suited for rapid response.
Comparing PSO and ACO for XGBoost Heart Rate Classification in IoT Monitoring Joni Siagian; Afrizal Hasan; Khairunnisa Khairunnisa
SISTEMASI Vol 15, No 10 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i10.6729

Abstract

Advances in Internet of Things (IoT) technology have transformed health monitoring systems, making them more adaptive and capable of acquiring real-time data. Heart rate, measured in beats per minute (BPM), is an important indicator of health status; however, BPM data generated by IoT devices is generally presented as numerical values without automatic classification of normal or abnormal conditions. This study aims to develop an IoT-based heart rate pattern classification system using the Extreme Gradient Boosting (XGBoost) algorithm, optimized with two metaheuristic algorithms Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), and to compare their performance characteristics. The study employs a quantitative experimental approach, beginning with real-time BPM data acquisition using a MAX30102 sensor and an ESP32-C3 Mini microcontroller from 40 participants, followed by data preprocessing, the development of an XGBoost model, parameter optimization using PSO and ACO, and model performance evaluation. The results show that both algorithms deliver equally good classification performance. PSO successfully identified an optimal threshold range of 68.44–97.82 BPM with an inference complexity of O(1), making it very fast during the prediction stage, while ACO excelled in training convergence speed and feature reduction effectiveness by using only 30% of the total features. The main contribution of this research is a comprehensive comparative analysis of the characteristics of PSO and ACO in terms of computational efficiency, optimization speed, inference complexity, and feature selection effectiveness, resulting in recommendations for selecting the appropriate optimization method to meet the implementation needs of IoT-based health monitoring systems, whether for real-time devices or cloud-based systems.