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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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Improvement Of Prediction Model Using K-Nearest Neighbors (Knn) And K-Means In Medical Data Lestari, Wiji; Sumarlinda, Sri; Binti Rahmat, Azizah
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4175

Abstract

Improving the performance of a prediction model is very important in its implementation. This study aims to improve the performance of the K-Nearest Neighbors (KNN) classification model with the K-Means clustering algorithm. The dataset used is UCI global data with 300 data and 12 features. The dataset is divided into 200 training data and 100 testing data. The training data is then processed by clustering with K-Means. The cluster centroid from the clustering results will be calculated for its distance from the testing data and produce data classification. The results of the classification process show that the accuracy of the proposed model is 76.45% better when compared to the results of the KNN classification process, for k = 5 the accuracy is 63.37%, k = 10 the accuracy is 64.36% and k = 15 the accuracy is also 64.36%.
Comparative Analysis of SQL Injection Attack Clasification Using Naïve Bayes Method And Support Vector Machine (SVM). Pramono, Pramono; Dwi Irawan, Ridwan; Arum Sari, Aprilisa
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4178

Abstract

SQL Injection is an attack that attempts to gain unauthorized access to a database by injecting code and exploiting SQL queries. SQL injection is an attack that is easy to execute but difficult to detect and classify because of the many types. The SQLI vulnerability is the result of incorrect validation of user input, enabling attackers to manipulate programmer queries by adding new SQL operators. Therefore, this study compares the use of the Naïve Bayes algorithm with the Support Vector Machine (SVM). The dataset that will be used in this study comes from a website called Kaggle. This study analyzes the comparison of methods resulting from the classification process based on the value of accuracy of confusion matrix, precision, recall. Naive Bayes, 95.594% accuracy quality while Support Vector Machine (SVM) 96.093% accuracy quality. The highest percentage of accuracy is obtained by the Support Vector Machine (SVM) while the Naïve Bayes accuracy score is slightly lower.
Analysis of Patient Safety Implementation Using Linear Regression Test Fanny, Nabilatul; Dyah Dewi Arini, Liss
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4179

Abstract

The background of this research is that interpersonal communication factors and attitudes can improve the implementation of patient safety in hospitals. The aim of this research is to analyze the influence of Interpersonal Communication and Attitudes on the implementation of Patient Safety in hospitals. Primary data was obtained through a questionnaire filled out by nurses at Jati Husada Karanganyar Regional Hospital. The sample was 31 midwives. The data from the questionnaire was then tested for linear regression at a significance level of 0.005. The results of the research show that the implementation of patient safety at RSU Jati Husada is good, 57.6% of patient safety has been implemented quite well through interpersonal communication and attitudes. Interpersonal Communication and Attitude variables have a significant influence on the implementation of patient safety at RSU Jati Husada Karanganyar. The variables Interpersonal Communication and Attitude have a significant influence on the implementation of patient safety at RSU Jati Husada, the influence is positive. Thus, the better the midwife's attitude in implementing patient safety SOPs, the higher the level of patient safety implementation.
A Study of Anemia Among Early Adolescent in Elementary School Maryatun, Maryatun; Rahmawatie Ratna Budi Utami, Dyah; Haryoto, Haryoto; Husain, Fida’
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4180

Abstract

Adolescents health is one of the most critical aspects of health in next step. Health problems often experienced by adolescents are anemia. Anemia is a condition in which the hemoglobin level is less than 12 mg/dl. Anemia is one of the health problems in Indonesia. Anemia in adolescence cause health disorder. If not getting the right treatment will cause reproductive health disorder. The purpose of this research is to examine the status of anemia, nutritional status and identify its characteristics. The subject of this study is elementary school students of 35 people who get from 5 and 6 grades. The research has been carried out at Jetis Elementary School. In this study, the measurement of body weight, height and Hb rate against 35 students. The results showed that the characteristics of the respondent based on the age of majority aged 11 years as much as 42.9%. The measurement results of Anthropometry showed that most are in the thin BMI status as much as 74.3. The prevalence of anaemia is 8.6% with majority are non anemia. The conclusion of this research is the incidence rate of anemia in early adolescent amounted 8.6%
Relationship Knowledge And Attitude Towards Stunting Prevention In Adolescent Girls Adriani, Prasanti; Lanti Retno Dewi, Yulia; Setyowati, Retno; Sugihardjo, Sugihardjo
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4181

Abstract

Indonesia possesses the second highest prevalence of stunting globally, surpassed only by Cambodia. Stunting is a pervasive problem that impacts not only infants and expectant mothers but even teenagers. Teenage females should be educated about the perils of stunting, including its indications, and the most effective strategies to prevent it by adopting healthful eating habits. Ensuring that adolescent girls do not develop anemia is a vital first measure in effectively avoiding stunting. The prevalence of stunted growth among babies and the occurrence of early marriages remain significantly high in Purbalingga Regency. Adolescents must improve their understanding and reproductive health in order to prevent stunting. The objective of this study is to investigate the correlation between the knowledge and attitudes of teenage girls in the Purbalingga Regency region about the prevention of stunting. This study employs a quantitative research design, a cross-sectional method, with a sample size of 75 female adolescents in Senior High School. The research findings demonstrate a robust correlation between the level of knowledge and the attitudes of teenage females in the context of preventing stunting. The correlation coefficient value of 0.675 and the significance value of 0.000, which is less than 0.01, clearly indicate this.
Analysis Of Factors Affecting Milk Productivity Of Dairy Cows In Boyolali District Nur Khayati, Nur Khayati; Dewi Lestari, Retna; Sepfrian, Bimoseno
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4186

Abstract

This study aims to analyze the factors affecting cow's milk productivity in Boyolali District, which is known as the largest milk producer in Central Java. Despite high production levels, milk productivity per cow in this area is still low, reaching an average of 6 liters per day. Factors analyzed include cow breed, forage feed cost, concentrate feed cost, and frequency of vitamin administration. The analytical method used was multiple linear regression. The results showed that forage feed cost and concentrate feed cost had a significant influence on milk productivity with a significance value, namely the cost of forage feed is 0.003 smaller than 0.005 and the cost of concentrate feed has a significance value of 0.007 smaller than 0.05and milk productivity was influenced by 21% by the variables studied, while 79% was influenced by other factors not explained in this study. This study is expected to provide insight for farmers and other stakeholders to improve milk productivity through better feed management and utilization of more economical feed alternatives.
Technical Efficiency Of Ginger Commodity Farms In Wonogiri District Azziz Rohadi, Alif; Dewi Lestari, Retna; Sepfrian, Bimoseno
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4187

Abstract

Wonogiri Regency, located in Central Java Province, is the main center of ginger production in Indonesia with total production reaching 6,851,216 kg in 2019. Ginger, which consists of three main types: elephant ginger, emprit ginger, and red ginger, has high economic value as food ingredients, beverages, spices, and herbal medicines. This study aims to analyze the technical efficiency of ginger farming in Wonogiri Regency. The method used is technical efficiency analysis with the Technical Efficiency Level (TER) indicator, which shows that ginger farming in this area is not yet technically efficient. Factors affecting efficiency include seed quality, rhizome health, and farm environmental conditions. The results indicate the need for improvements in the use of production inputs to increase the efficiency and productivity of ginger farming, which in turn can increase farmers' income and support the sustainability of the ginger industry in Wonogiri Regency.
Analysis Of Sugar Planning In PG Mojo Sragen Mayang Puspitasari, Diah; Dewi Lestari, Retna; Rahyunanto, Setyo
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4191

Abstract

This study aims to analyze the planning of sugar production capacity is efficient or not in PG Mojo Sragen. Although the level of sugar production capacity in a particular year still exceeds capacity and also lacks capacity. The production capacity planning analyzed includes the available capacity and the required capacity of each station, namely the refining station, evaporation, cooking, turning, Waste Water Treatment Plant (WWTP), and stamfloor (sugar packaging place). The analysis method used is RCCP (Rought Cut Capacity Planning). The results showed that the comparison of the efficiency of each workstation which was said to be inefficient was found at the evaporation workstation, WWTP, and stamfloor. The three stations have lower available capacity compared to the higher required capacity. This research is expected to provide insight for PG Mojo Sragen to increase available capacity through better alternatives.
Analysis of AI-Based Big Data for Strategic Decision-Making in E-Commerce Oktaviani, Intan; Purawanto, Eko; Triana, Triana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4192

Abstract

In the current digital era, e-commerce faces significant challenges in managing and analyzing vast and complex data. Big Data presents tremendous opportunities for gaining valuable insights, but traditional analysis methods often need to be more accurate and relevant information. Artificial Intelligence (AI) emerges as an effective solution to this challenge, with its ability to deeply analyze data and identify patterns and trends that conventional methods may overlook. By leveraging AI, e-commerce companies can make faster and more accurate strategic decisions, such as optimizing marketing, managing inventory, and personalizing customer experiences. Although there are challenges in implementing this technology, such as data integration and security, the benefits of using AI in Big Data analysis are substantial. In conclusion, AI is crucial in supporting data-driven strategic decision-making in the e-commerce sector.
Safety of Rivaroxaban For Prophylaxis Vein Thrombosis Post Total Hip and Knee Replacement Luthfiyanti, Niken; Jayak Pratama, Kharisma; Noviana, Noviana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th 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.v5i1.4193

Abstract

Orthopaedic surgery such as surgery on the pelvis and knee bones has a high risk of developing Deep Vein Thromoembolism (DVT), especially in patients with hypercoagulability. Venous thromboembolism is the main cause of morbidity and mortality in orthopedic patients that can be prevented using thromboprophylaxis, but on the other hand is related to the risk of bleeding side effects. The study aimed to evaluate the safety of oral Rivaroxaban prophylaxis in patients after Total Hip and Knee Replacement. This research applied cross sectional technique. Retrospective data were taken from the medical records of Dr. Moewardi Surakarta, period January 2023- July 2024. The data taken are secondary data from the patient's medical record by recording clinical symptoms that appear. Rivaroxaban safety evaluation includes the incidence rate of bleeding as well as the factors that influence the occurrence of bleeding. A total of 38 patients met the inclusion criteria of the study. Bleeding occurred in 4 cases (10.5%). Factors that affect the incidence of bleeding renal failure (p = 0.001). Monitoring of Rivaroxaban side effects is indispensable. Pharmaceuticals can play an important role in monitoring and preventing the occurrence of bleeding by paying attention to risk factors, especially kidney failure.

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