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Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Published by Universitas Duta Bangsa Surakarta
ISSN : -     EISSN : 2962634X     DOI : https://doi.org/10.47701/icohetech.v3i1
Core Subject : Health, Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology
- Health and Medical - Health Information Technology - Science - Engineering - Information Technology
Arjuna Subject : Profesi Kesehatan - Menejmen Informasi Kesehatan
Articles 530 Documents
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IMPLEMENTATION OF FUZZY INFERENCE SYSTEM (FIS) FOR CARDIOVASCULAR DISEASES PREDICTION Sumarlinda, Sri; binti Rahmat, Azizah; Awang Long, Zalizah binti; Lestari, Wiji
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3418

Abstract

Abstract- Cardiovascular diseases (CVDs) continue to be a leading cause of mortality worldwide. Early and accurate prediction of CVDs risk is crucial for effective prevention and management. This study presents the implementation of a Fuzzy Inference System (FIS) for predicting suseptibility cardiovascular diseases. The implementation of FIS for the prediction of cardiovascular disease is by determining the membership function for risk factors that influence the susceptibility of the disease. The FIS developed in this study integrates five risk factors, including age, systolic blood pressure, diastolic blood pressure, blood sugar and cholesterol and one output parameter CVDs prediction. The FIS method used Mamdani with 162 rules. Real-world patient data diagnosed with cardiovascular disease is used to train and validate the FIS. Validity testing produces 100% valid data. Testing is carried out using patient data. The method used to validate the results of the FIS implementation is by distributing questionnaires to several paramedics.. These findings provide insights into further refinements of CVD risk modeling and potential applications in clinical practice.
THE ROLE OF THE FARMER WOMEN'S GROUP (KWT) IN INCREASING THE INCOME OF FARMER FAMILIES IN SRAGEN REGENCY Lestari, Retna Dewi; Sari, Intan Lukita; Sari, Vinanda Puspita
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3419

Abstract

Data analysis to determine the effect of the role of KWT on the family income of farm women is to perform a simple linear regression analysis. Based on the results of the regression test, it is known that the calculated t value on the effect of the role of KWT on the income of farm women's families results is a significant influence between the role of KWT and the income of farmer women's families. The average income of farm women in managing farming activities is Rp 729,200, the income is used to help meet the needs of the family. Based on the results of interviews with farmer women, the income of farmer women from the KWT business unit and their own business is used for school fees, buying daily food needs and social community needs such as social gatherings, garbage dues, and others. The role of farmer women's groups in increasing the income of farm women's families is shown from the many types of businesses run by farm women. The average group of peasant women in Sragen Regency has a business unit as a source of business income. These business units include herbal medicine agribusiness units ranging from cultivation to marketing of herbal products, hydroponic agribusiness, and other business units.
AUTOMATIC ICD TO IMPROVE DIAGNOSIS CODING ACCURACY: A LITERATURE STUDY Tominanto, Tominanto; Widyaningrum, Linda; Khoirunnisa’, Arifah; Anggraini, Eva Ayu
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3420

Abstract

ICD coding is usually done by a coder who assigns the ICD code according to the Doctor's clinical diagnosis. However, because coders need to master specific skills, such as knowledge in the field of medicine, coding rules, and medical terminology, manual coding can be costly, time-consuming, and inefficient. Based on this, developing a computationally accurate approach to automatic ICD encoding is imperative. This literature study aims to provide an overview of automatic ICD in terms of the dataset and classification method used. The literature study results show that automatic ICD research to improve the accuracy of diagnosis coding has been done and is still a challenge today. Most of the datasets used are the public MIMIC-III dataset, while automatic ICD classification is the current research trend with deep learning. The deep learning algorithms that are widely used include CNN, RNN, and LSTM. The resulting accuracy based on the dataset and classification method is very diverse. Future research still has many opportunities to contribute and improve the correct classification method to improve automatic ICD accuracy.
THE RELATIONSHIP BETWEEN REGULAR ACUPUNCTURE SESSIONS AND DIETARY PATTERN CHANGES IN OBESE PATIENTS Dwi Binuko, Raafika Studiviani; Agustina, Tri
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3421

Abstract

The research addresses the issue of understanding the potential influence of acupuncture sessions on dietary choices in obese patients. While acupuncture's effects on various health aspects have been explored, the direct link between acupuncture frequency and dietary patterns remains relatively underexplored, especially within the context of obesity. The primary objective is to determine whether there exists a significant relationship between the frequency of acupuncture sessions and shifts in dietary consumption patterns. Additionally, the study aims to identify any potential moderating factors, such as individual patient characteristics or demographic variables, that might impact this relationship. A quantitative methodology is employed to measure and analyze the aforementioned relationships. Data is collected from a sample of obese patients who undergo routine acupuncture sessions. The variables of interest include the frequency of acupuncture sessions, changes in dietary factors (such as protein, fat, fiber, and sugar intake), and any alterations in physical activity levels. A multiple regression analysis is utilized to assess the strength and significance of the relationship between acupuncture session frequency and dietary pattern changes while controlling for potential confounding factors. results indicate a statistically significant positive correlation between the frequency of acupuncture sessions and the number of attended sessions, suggesting that patients who engage in more frequent sessions tend to attend more of them. However, the influence of other variables like dietary factors and physical activity on session attendance appears limited. These findings suggest that acupuncture session frequency plays a pivotal role in influencing patient participation, potentially overshadowing the impact of other factors within this context.
EFFECT ICT ON E-LEARNING AND SCHOOL BRAND IMAGE Widyaningrum, Reno Moeliasari; Suryandaro, Retno Tanding
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3422

Abstract

This study aims to analyze the effect of information and communication technology on e-learning and school brand image. The research method uses a quantitative approach, the sample in this study is vocational school students, the data collection method uses a questionnaire, and the data analysis method uses Structural Equotion Modeling. The results of data analysis show that e-learning is influenced by ICT and e-service quality. E-WOM and student satisfaction are influenced by e-learning, while school brand image is influenced by e-WOM and student satisfaction. This study contributes to the literature by developing a framework for responding to COVID-19.
ANALYSIS OF ELECTRONIC BANKING ( E-BANKING) USERS IN INDONESIA DURING AND AFTER THE COVID-19 PANDEMIC Prastiwi, Putri Intan; Hanifah, Umi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3423

Abstract

The purpose of this study is to examine the differences in the impact of the covid-19 pandemic on electronic banking users. This study used the Wixolcon Test analysis method to test the differences between paired data. Testing comparisons between observations before and after being given treatment and knowing the effectiveness of a treatment. The dependent variables in this research are mobile banking, internet banking and the dependent variable is the covid-19 pandemic. This research uses a quantitative research approach. The data source is from the official website of the Indonesian Stock Exchange, namely www.idx.co.id in 2019 - 2022. The total research population was 47 companies. The sampling method was purposive sampling so that a total sample of 39 companies was obtained. The results of the Wixolcon test, namely on the mobile banking variable, show that there are differences in mobile banking users in Indonesia during and after the Covid-19 pandemic. Regarding the internet banking variable, the results of internet banking research show that there are differences in internet banking users in Indonesia during and after the Covid-19 pandemic.
LITERATURE REVIEW: EFFECTIVENESS OF HONEY, CURCUMA AND TURMERIC FOR CHILD HEALTH Marni, Marni; Firdaus, Insanul; Wahyuningsih, Wahyuningsih; Soares, Domingos; Tahta Raharja, Muhammad Langlang; Siska Savitri, Dessy Nourma
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3424

Abstract

Introduction: Malnutrition causes children to experience health problems in the short and long term. The research method used is a literature review. Checklist Prisma has been used for registration of titles, abstracts, full texts and methodologies with the keywords Honey AND Turmeric AND Curcuma AND Child Health. The computerized databases that have been used to search for articles in this study are Science Direct, Pubmed, ProQuest and Google Scholar. The journals published in the period 2013 to 2023. Result: There were 8 articles that were relevant to the search keywords used. Foods that contain lots of bioactive compounds such as Curcuma Zanthorrhiza, turmeric / Curcuma Ionga, honey are very beneficial for health, especially for children's growth and development, preventing infections, preventing various diseases. Conclusion: Curcuma Zanthorrhiza, turmeric / Curcuma Ionga, honey improve health, increase body weight, prolong life, prevent infection, prevent various diseases, increase nutrients such as carbohydrates, protein, fat.
IMPLEMENTATION OF ASSOCIATION RULES USING APRIPORI ALGORITHM FOR ANGKRINGAN Lestari, Wiji; Hasanah, Herliyani; Susanto, Rudi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3425

Abstract

Angkringan is a culinary business that is often found, especially in Surakarta and Yogyakarta in particular and Central Java in general. Most angkringan include small and medium enterprises (SMES). Food and drink merchandise mapping is an important thing in angkringan. In this research, food and drink mapping was carried out at several snack bars in Jebres sub-district, Surakarta city using word clouds and the Apriori algorithm. The word cloud will produce the dominant food and beverage itemsets which will then be processed using the Apriori algorithm. The results of mapping with the Apriori algorithm for food yield support(tempeh) = support (tofu) = 95 which is the highest. Relationship value between dominant itemsets: Confidence(tempeh, tofu→satay, milkfish rice, quail egg, bakwan) = 21. Results for drinks have the highest support value for tea, support(tea) = 100. Relationship value between dominant itemsets: Confidence(tea → coffee, milk, ginger) = 15.
EFFECTIVENESS OF MANALAGI MANGGO LEAF EXTRACT GEL (Mangifera indica L.) ON CUTTING WOUND HEALING IN MALE RABBITS NEW ZEALAND WHITE Luthfiyanti, Niken; Muktamaroh, Anif; Khasanah, Isna Nur
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3426

Abstract

Wounds are pathological conditions that occur in skin tissue and mucous membranes of other tissues. Mango leaves (Mangifera indica L.) contain alkaloids, flavonoids, tannins and saponins which have an effect on wound healing. The purpose of this study was to determine the effectiveness of mango leaf extract gel concentration (Mangifera indica L.) on wound healing in rabbits. The test animals were divided into five treatments, namely positive control, negative control, and gel preparation with 3 variations of extract concentration, namely formula I (10%), formula II (15%), and formula III (20%). This research is an experimental study with observations for 14 days. The statistical test uses the Anova test and the Post-Hoc test. The average healing time of the positive control and negative control groups with mango leaf extract gel (Mangifera indica L.) concentrations of 10%, 15%, and 20% had a significant difference with a sig 0.000 result (P<0.05). Manalagi mango leaf extract gel (Mangifera indica L.) provides the best wound healing effect at a concentration of 20%.
THE EFFECT OF HUMAN RESOURCE COMPETENCY TRAINING AND ADMINISTRATIVE SYSTEM FOR PHARMACEUTICAL PERSONNEL CAPABILITY IMPROVEMENT AT UDB MEDIKA PHARMACY Listyani, Tiara Ajeng; Listyorini, Puguh Ika; Akhmad, Khabib Alia; Oktaviana, Aptika
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3427

Abstract

UDB Medika Pharmacy is a new form of business that was established to increase the income generating of Duta Bangsa University, Surakarta. The lack of experience of Pharmacy Staff at the UDB Medika Pharmacy as practitioners in the pharmacy sector creating human resources in UDB Medika pharmacies requires real training in carrying out pharmaceutical service standards in pharmacies. This study aims to assess the level of knowledge and ability of pharmacy staff, and to find out whether there is a significant influence before and after the Human Resources Competency and Administration System training for pharmacists at UDB Medika Pharmacy. This study was a pre-experimental study with a one-group design that was given a pre-test and a post-test. The results of this study indicate that the average score after training is 78.51, which is higher than the score before training, which is 52.58. Competency Training on Human Resources and Administrative Systems for pharmacists at UDB Medika Pharmacy has been proven to be able to increase the knowledge and skills of pharmaceutical staff at UDB Medika pharmacies in providing pharmaceutical services in accordance with pharmacy service standards at pharmacies, assessed from test results before and after training.

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