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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 114 Documents
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Search results for , issue "2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)" : 114 Documents clear
PERCEPTUAL ANALYSIS OF ETHICAL FACEBOOK MARKETING Sharma, Ritika
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.v4i1.3366

Abstract

The primarily motive is to investigate the Ethical concern of customers towards the Facebook Marketing. The various past studies explored the benefits of Online Marketing and Facebook is a very popular Social platform among it and in the transforming world so far. Most of the research work was done on describing the security concerns as well as perception of customer towards S-commerce but yet not discovered the ethical values towards Facebook Marketing and what customers actually feel about Facebook Marketing. Due to time constraints, snowball sampling was used to collect the data from the respondents and only 250 respondents were selected for the study, those who were frequently accessing the Facebook and other social platforms for shopping purposes. Prior to actual research, pilot survey was conducted to ensure that all the questions were asked in questionnaire were understandable as well as appropriate for this study. In addition, Cronbach’s Alpha techniques were used to check whether all statements have positively correlated to each other. Therefore, reliability of the statements extracted which allowed us to proceed further for analysis of the data. In this study, three factors were extracted through factor analysis, from the responses of respondents. Based on the variables included in each factor, we labeled for factors as quality services, mechanisms of trust, adoption of Facebook Marketing, prosperity of shopping, flexibility behavior and user friendly. The findings of the study highlighted the importance of quality services offered by the E-Marketers. The websites marketers must be user-friendly so that consumers feel flexible or free to make purchases at low prices. The marketers should be focused on the youth, because youth generation is very much prosperous regarding online shopping, because Facebook Marketing provides varieties of products, lower shipping fee, easily accessibility of products and provide products to their home. There are many laws and acts which increases trust among customers regarding the Facebook Marketing. The privacy of customers is also a concern, their personal information would not be shared with others or third party and proper feedback is provided to the customers regularly.
THE EFFECET OF STRESS AND PRODUCTIVITY DUE TO TRAFFIC CONGESTION AMONG WORKERS IN KUALA LUMPUR Syafiq D.R, IIyas; Buqhari, Ahmas; Andy, Onery
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.v4i1.3367

Abstract

Stress at work’ is a concept which there are lots of potential causes of stress in a working environment that can affect the productivity of a worker. Traffic congestion is a condition in transport that is characterised by slower speeds, longer trip times, and increased vehicular queueing. The experience of workers during traffic congestion before attending work could induce stress towards them, hence being assessed in this study. This study aims to assess the relationship between traffic congestion and work productivity. This study was conducted among a total sample of 133 individual workers in Kuala Lumpur which are prone to road traffic congestion in city areas. Raw data were collected in an online standardized survey. Data analysis was done using Microsoft Excel and SPSS using multiple hypotheses testing formula including ANOVA test, Linear Regression Analysis and Correlation Analysis. The findings of this study concluded that the data from all of the tests show consistent results which there is significant relationship between Stress at Work (p-value <0.05) and Road Traffic Congestion (p-value <0.05), but Work Productivity (p-value >0.05) shows insignificance towards the two variables. Therefore, it can be concluded that road traffic congestion causes stress to workers in Kuala Lumpur, but the stress induced from road traffic congestion does not hinder their productivity at work.
SALES TRANSACTION DATA EVALUATION INFORMATION SYSTEM USING CLUSTERING MODEL Purwanto, Eko; binti Mohd, Farahwahida; Awong Long, Zalizah; Purnomo, Singgih
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.v4i1.3368

Abstract

Sales evaluation exercises at instruments or trading enterprises with many outcomes and components are critical to determining the company's business development. Enterprise managers must know and evaluate sales data through reports on all branchesA trading business that has a department store, so it is essential to assess the sales trade. This sales evaluation knowledge system is necessary to promote store leadership in the deals evaluation strategy, which aims to aid the administration's decision-making process. The dealing data is evaluated using a clustering model to find a group of products selling well, especially in demand and not selling well. The algorithm used in clustering is by using K-Means. The sample data used is sales transaction data of 122 sales transaction data. Based on the results of the Davies Bouldin, it was found that the number of clusters with the best performance was 4 clusters with a Davies Blouldin value of -0.371. This analysis results in the sales data evaluation information system using the clustering model as an instrument for store managers to evaluate deals data at all department stores. The result of this method can be caused by the supervision as data in the decision-making method.
AN ANALYSIS USING OWAS METHOD FOR IMPROVING EMPLOYEE WORK POSTURE IN OMAH KANDANG SMES Diansari, Brillian Nur; Saputro, Fery Wisnu; Mu’aafii, Anjab; Cahyo, Anthony Tegar
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.v4i1.3369

Abstract

Omah Kandang SMEs is a SMEs in Surakarta that produce handmade cat cages. The customer of Omah Kandang SMEs scattered in several cities in Indonesia. Unfortunately, the booming demand is still difficult for producer to provide these, it caused by unproductive employee because of poor working postures. This research aims to determine the level of work risk for the employee using OWAS Method and providing suggestions of ergonomics work posture for improving employee productivity. OWAS Method is a method used for body measurement with dividing work activities in several time interval to avoid musculoskeletal disorder risk. The codes in this method includes back, arms, legs and load/use factor. In this research is known that employee work posture in weaving station fall into the category 2. It means unsafe for musculoskeletal system and need an improvement in the future. It is recommended to provide table for ergonomics work posture, so the employee become more productive.
FACTORS ASSOCIATED WITH HYPERTENSION: RESULTS FROM THE INDONESIAN FAMILY LIFE SURVEY-5 IN 2014 Rahayuningrum OI, Rahayuningrum OI; Probandari AN, Probandari AN; Sumardiyono S, Sumardiyono S
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.v4i1.3370

Abstract

Hypertension is still a serious global problem. In developing countries prevalence of hypertension increased from 18,8% in 2002 to 29,6% in 2014. Age, gender, Body mass index (BMI) and education can be the factors associated with hypertension. This study aimed to describe factors associated with hypertension in Indonesia from Indonesian Family Life Surveys (IFLS) wave 5 were conducted in 2014-2015. This crosssectional study analyzed data by using Chi2. Respondents aged > 40 years with complete information was 12.840, obtained from questionnaire-based interview and measurement. The result showed that the prevalence of hypertension was 5.426 (42,26%). The prevalence of hypertension on age 45-59 years old was 2.553 (47,05%), and women was higher 3.078 (56,73%) than men. Furthermore, the most prevalence of hypertension was on Body mass index (BMI) overweight 2.630 (48,47%). Respondents who had the higher level of education has the lowest prevalence of hypertension 425 (7,83%). All these results were statistically significant (P<0,001). The study found that middle-aged people, women, overweight, and lower level of education can be the factors increasing the prevalence of hypertension. Future intervention should emphasize to improve the promotion of healthy life style, education and inspire the population to maintain the ideal body weight.
ABILITY INTEGRATE DIGITAL TECHNOLOGY BY HEALTH PROFESIONALS DURING THE TEAHING AND LEARNING PROCES IN THE ERA OF GLOBALIZATION: A INTEGRATED RIVIEW Soares, Domingos; Marni; McKenna, Lissa; Efendi, Ferry; Ahsan; Martin, Nelson; Perreira, Sebastio; Pinto Baptista, Edinha da Silva
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.v4i1.3371

Abstract

In the era of the industrial 4.0, there is an increase in the availability of portable digital technology equipment that supports the learning process in various sectors including health. It is become a core requirement to support the learning process. Digital technology application media such as You Tube, Google Apps, Zoom, Face books, Skype, Dropbox, twitter, WhatsApp and others have become core health learning tools today. The readiness of health workers to utilize digital applications in the learning process, so in needs to be considered. The aims of this study was to explore the readiness of health professional in using digital technology to facilitate the teaching and learning process. Mechanism of goal attainment in this study using the five measures of Whitmore and Knafl. Researcher searched for articles through the google scholar, ProQuest and Science Direct. Article search of January to August 2022 publication period have concentrated of the health professional use technology digital to facelifted their learning. Was used PRISMA checklist with key word: Ability AND health AND Integration AND digital AND Learning. Was choose a cross sectional study for this study. The total 15 articles selected and included in this study with JBI analysis value is at least 88,5%. The use of digital technology in the learning process in the health sector has proven to be very effective and efficient.
SPYWARE AS BARRIER TO E-MARKETING: AN EMPIRICAL STUDY Kumar , Dr. Satinder; Dubey, Rohit Kumar
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.v4i1.3372

Abstract

Present paper motive is to explore perceptions of customers towards Spyware issues in E-Marketing and their structural relationship to influence the perception. In present scenario E-Marketing is playing an essential part in Indian economy, especially where Prime Minister promotes cashless economy or online marketplace. Although E-marketing is one of the best modern and economical mediums for reaching out to new customers, although internet has created many advantages for the business but it has also brought many numerous risks. It would be wise to contemplate the various E-marketing ethical issues because innovative way of marketing has also lead to unethical practices as spyware problem. Spyware has been in controversy as it gets setup without knowledge and breaks the user’s privacy; even it has the potential to be misused. The study has revealed the customers have no control on their personal information as spyware leads to control the online user’s visits, collecting personal information and also misusing the same. Majority Customers are unaware regarding Spyware problems and they do not know how to handle with it. As the result the customers felt more Unsecure while transacting on the network because of their ignorance in this respect as SEM analysis has revealed that most of the variance in spyware is explained by two factors, Unsecure and Control. The results of the study are useful for the marketers as it would help them to frame comprehensive policy in relation to protect the personal information of customers so that they can feel safe and secure while buying online.
ANTIOXIDANT PROPERTY ON VARIOUS LEAF MATURITY OF PIPER SARMENTOSUM Syafiq D.R., Ilyas; Ghazali, Nabilah; Dewi, Aptika; Jelita, Mega
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.v4i1.3374

Abstract

Piper sarmentosum known as Kaduk in Malaysia is a climbing herb with long runners comes from the family of Piperacaeae. Piper sarmentosum has been traditionally used in culinary and alternative medicines in different parts of the world to cure many diseases and ailments. Thus, this study aims to screen antioxidant activity of P. sarmentosum based on the leaf maturity, from young, middle-matured and matured leaf. First and foremost, the leaf will be extracted in 70% methanol and the antioxidant activity was determined by using Ferric Reducing Antioxidant Power (FRAP) assay. Result showed that the young leaves contain the highest antioxidant activity rather than middle-matured and matured leaves. Hence, if P. sarmentosum’s leaves are to be collected for its antioxidant properties, it is best to harvest the young leaves to gain the optimized yield of antioxidant properties.
THE USE OF CODE-MIXING BY THE CASTER IN PUBG MOBILE TOURNAMENT “PMPL SEA FINALS SEASON 2” Abdul Rozzaq Wijaya, Rahmaditya Khadifa; Hidayatullah, Aris; Mayangseto, Ginarsiwi
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.v4i1.3375

Abstract

This study aims to determine the types of code mixing and the factors that cause code mixing. The data in this study are the types of code mixing Inter Sentential Code Mixing and Inter Lexical Code Mixing. The source of the data in this study was the PUBG Mobile e-sport tournament video with the title "PMPL SEA FINALS SEASON 2" taken from the research location of the PUBG MOBILE INDONESIA Youtube channel. This research is descriptive qualitative. Data collection techniques in this study used observing (simak) and note-taking (catat) techniques. In addition, the data analysis technique in this study uses theory from Hoffman (1991) and Jendra (2007). The result of this study is that the use of code mixing by the caster found Inter Sentential Code Mixing in the form of phrases and clauses. Then, the type of Inter Lexical Code Mixing code mixing is found in the form of words. The factors found in this study: (1) the language factor, (2) the speech participant factor, and (3) the purpose of the conversation factor.
PREDICTION AND PREVENTION OF DISEASE DIAGNOSIS DELAY USING DATA MINING METHODS IN HEALTHCARE QUALITY MANAGEMENT Maulindar, Joni; Guterres, Juvinal Ximenes; Rosita, Riska
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.v4i1.3376

Abstract

This study analyzes the issue of disease diagnosis delay in healthcare quality management using data mining methods. The aim is to understand the relationship between several key variables and diagnosis delay for various diseases. The study focuses on the variables of Age, Symptom Duration, Physician Experience, and Diagnosis Delay. Advanced data mining methods are employed to predict and prevent disease diagnosis delays. The results of this study present the findings from the analysis of the collected dataset. The dataset consists of patient information, including attributes such as Patient ID, Age, Symptom Duration, Physician Experience, Diagnosis Delay, and Treatment Initiation. Each attribute plays a crucial role in understanding and predicting diagnosis delay. The approach using linear regression yields coefficients [0.03260123, 0.24605912, 0.01765057, 1.09631713], indicating the influence of each variable on Diagnosis Delay. The Mean Squared Error (MSE) value of 0.7926 signifies the model's ability to predict Diagnosis Delay accurately. The scatter plot illustrates the linear relationship between actual Diagnosis Delay and predicted Diagnosis Delay. The Pearson's Correlation Coefficient of 0.5222 indicates a moderate positive correlation between the two. However, the residual plot indicates a tendency for underestimation of Diagnosis Delay for higher values.

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