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Adri Adri; Aulia Mustika

Jurnal Riset Ilmu Farmasi dan Kesehatan 2026 Asosiasi Riset Ilmu Kesehatan Indonesia

Cardiovascular dysfunction is a disorder of the blood vessels, such as hypertension, heart failure, and stroke. In 2016, cardiovascular disease was the leading cause of death worldwide, based on data from the World Health Organization (WHO). Coronary Heart Disease (CHD) is the leading cause of death, along with stroke, as shown by the Sample Registration System survey in 2014.This case involves a 64-year-old male, Mr. N, who presented to the emergency department of RSUD dr. Fauziah Bireuen with complaints of chest pain that developed gradually and worsened over the past month. The pain was located across the entire chest and radiated to the back and neck. The pain was described as severe, like being crushed by a heavy load, worsened during strenuous activities such as cutting grass and chopping wood, and relieved when the patient bent forward. The pain could occur at any time, with a Visual Analog Scale (VAS) score of 10 (severe pain). The patient also reported easy fatigue during heavy physical activity over the past month. Laboratory examination revealed elevated leukocytes, mean corpuscular volume (MCV), segmented neutrophils, troponin I, cholesterol, and triglycerides. The patient was diagnosed with extensive anterior ST-elevation myocardial infarction (STEMI) post successful fibrinolytic therapy.

Anisa Azzahra; Anita Oktaviana Trisna Devi; Agung Widyanto F S

Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 2026 Asosiasi Riset Ilmu Teknik Indonesia

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

Intan Berlianty; Miftahol Arifin

International Journal of Engineering and Applied Science 2025 International Forum of Researchers and Lecturers

Fatigue is a critical issue in labour-intensive small industries, especially in traditional food production such as tofu manufacturing. This study aims to develop a fatigue classification model using a decision tree algorithm by integrating subjective assessments of the work system through the Macroergonomic Organizational Questionnaire Survey (MOQS) and objective physiological indicators, specifically Cardiovascular Load (CVL). The research was conducted in a tofu home industry located in Kalisari Village, Banyumas, Indonesia. Primary data were collected from 10 workers through MOQS questionnaires and heart rate measurements taken at rest and during work. CVL values were calculated and used as labels for classification into three categories: low, moderate, and high fatigue. Meanwhile, MOQS dimension scores (organization, job, personal, environment, and technology) were transformed into interval data and used as classification features. A decision tree model was built using the CART algorithm and visualized for interpretability. The results show that all workers experienced at least moderate fatigue, with 20% categorized as high fatigue. The decision tree revealed that the dimensions of organizational and personal factors were the most influential in predicting fatigue levels. The model provides a practical and interpretable tool to support decision-making in scheduling, workload balancing, and ergonomic interventions. This study demonstrates a novel approach to combining macroergonomic assessments and physiological data with machine learning for practical fatigue risk management in small-scale food production environments.

Putri Widia Agustina; Meri Andriani; Dewiyana

JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI 2023 CV. ALIM'SPUBLISHING

The work of farmers is prone to the risk of health problems such as pain in the joints and fatigue. The research problem is that farmers complain of rapid fatigue, so the purpose of the study is to determine the physiological workload on rice farmers when planting rice and determine the best time for farmers. Methods used are Cardiovascular Load (%CVL) and Energy Consumption to determine the weight of the workload of farmers, and rest time to determine the length of rest. Results and discussion, %CVL is 7 people with action no fatigue and 46 people with action needed improvement. Energy consumption is the smallest percentage of 4.14 kcal / minute with a mild classification and the largest percentage of 6.14 kcal / minute with a moderate classification. In the second measurement, the smallest percentage was 4.49 kcal/min with a mild classification, and the largest percentage was 6.90 kcal/min with a moderate classification. In the third measurement, the smallest percentage was 3.96 kcal/min with a mild classification, and the largest percentage was 6.39 kcal/min with a moderate classification. The smallest rest time was 12.65 minutes and the largest rest time was 120.39 minutes. In conclusion, the mean %CVL was 13.21% with no fatigue, 86.79% with improvement needed. Average energy consumption with mild classification with a percentage of 4.21% and moderate classification with a percentage of 6.26%. The smallest rest time is 12.65 minutes while the largest is 120.39 minutes

Sarah Aliyah Sabhirah; Rusindiyanto Rusindiyanto

JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA 2023 Pusat Riset dan Inovasi Nasional

A manufacturing company engaged in the furniture industry, specializing in wood, rattan and glass products. Most of the production orders were related to table products, stands and chests, with a total of 15,224 orders for other products. Based on results of direct observation at PT. Romi Violeta from the production process department says that due to the limited working hours, especially as the production orders for tables, shelves, etc. increase every month, the physical and mental strain employees take to meet their production targets. I often complain about. For commodity products. The purpose of the research is to find cases of high physical and mental stress at manufacturing sites with high stress standards such as tables, shelves, and chests of drawers, and to provide suggestions for improving the reduction of physical and mental stress. . Based on an analysis of the results, the mean cardiovascular load (CVL) percentage was found to be 43.902%, indicating that the assessment needs improvement, and the Bourdon Vielsma test speed result was 12.593 seconds with a score of 7. , a body weight score (WS) of 11.5 is included in the adequate group (C). Accuracy is 3.26, score is 8, fair group (CB) weighted score (WS) is 12, constant is 8.185 seconds, score is 5.5, score is . 8 are in the suspicious (R) group.