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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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OPTIMIZATION OF THE QUEU SYSTEM USING LINE BALANCING METHODS AND FLEXSIM SOFTWARE SIMULATION AT THE SIAGA MEDIKA BANYUMAS HOSPITAL Karunianto, Hernawan; Agusti, Febrina; Buwono, Ringgo Ismoyo
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.v4i1.3428

Abstract

Service is an important aspect for the service industry, including hospitals, one of the important aspects in a service is the queue. Siaga Medika Banyumas Hospital provides services with 3 doctors and there are 4 main services at Siaga Medika Banyumas Hospital, namely, registration, doctor services, payment and taking medicine. This research carries out queue simulations using flexsim and line balancing calculations. The results show that the line balancing calculation in the initial state has an average path efficiency of 64.90% with simulation results of 31 patients queuing. calculations after line balancing showed an average path efficiency of 87.17% with simulation results of 37 patients queuing. The alternative of adding 1 new doctor obtained an average path efficiency of 78.80% and made a difference in the number of queues for doctor services to 14 patients.
CORRELATION BETWEEN THE ACCURACY OF MEDICAL TERMINOLOGY AND DIAGNOSTIC CODES FOR RESPIRATORY CASES IN HOSPITAL INPATIENTS Utami, Yeni Tri; Wariyanti , Astri sri; Susilowati , Sheilla
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.v4i1.3429

Abstract

Accuracy of writing terminology medical necessary to get accurate diagnosis code. Based on results studies introduction to document record medical patient take care Inpatient diagnosis of respiratory cases carried out at Mitra Pedan General Hospital was found to be 60% inaccurate medical terminology and 40% diagnostic code inaccuracies. This research aims to determine the relationship between accuracy in writing medical terminology and accuracy respiratory case diagnosis code for the patient take care stay. Deep method study This namely analytics with a retrospective approach. Amount population 530 documents with sample a total of 229 documents use proportionate stratified random sampling technique. Research instruments include observation guidelines, interview guidelines, checklists, and ICD – 10. Data management by editing, coding, classification, tabulation, cleaning, and data presentation. Analysis using univariate and bivariate. Accuracy writing diagnoses in respiratory cases was more than 140 documents (61%). big rather than inaccuracy as many as 89 documents (39%). For accuracy accurate respiratory case diagnosis code more than 195 documents (85%). big than inaccuracy as many as 34 documents (15%). Data is processed with the Chi-Square statistical test using SPSS, the p value is = 0.149 so p> 0.05. In conclusion namely H0 accepted and Ha rejected, meaning that there is no connection between accuracy of writing medical terminology with accuracy of respiratory case diagnosis codes at Mitra Pedan General Hospital in 2022. This because in handle inaccuracy writing medical terminology, coding officers will confirm directly with doctor so that the resulting diagnosis code still accurate.
DIGITAL MARKETPLACE IN SMEs SUSTAINABILITY Oktaviani, Intan; Triana
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.v4i1.3432

Abstract

The application of the K-Means algorithm in digital marketplaces is an effective data analysis strategy for grouping customers, products or reviews based on certain characteristics. In the context of digital marketplaces, K-Means is used to understand customer behavior, improve the shopping experience, and optimize business operations. This article describes the basic concept of implementing K-Means in a digital marketplace, including implementation steps and benefits that can be obtained. This method helps marketplaces in customer segmentation, product recommendations, sentiment analysis, and data-driven decision making. By using K-Means, digital marketplaces can optimize marketing strategies, product and service offerings, and increase overall customer satisfaction. In conclusion, the K-Means algorithm is an important tool in data analysis that supports the growth and success of digital marketplaces in the ever-developing digital era.
INCREASING SALES WITH THE ROLES OF MARKETING MIX (A STUDY OF THE COSMETICS BUSINESS) Nur Muftiyanto1, R.Taufiq; Hastuti, Indra
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.v4i1.3433

Abstract

Marketing mix is one method of winning an edge that makes sense for both organizations producing labor and products. The advertising mix is intended to determine the direction, the purpose of promotional options in the business related to market division, the idea of the target market, and the components of the marketing mix. Sometimes business in cosmetics tends to continue to grow. The growing interest in beautifying themselves has become a basic human need, having an impact on increasing the supply of cosmetic products. In the promotional role, the most difficult condition is to restrain the buyer from continuing to use the goods of the merchant, or it is often alluded to as client devotion. To ensure customer constancy, business people must have the right marketing procedures in promoting their products. One type of marketing techniques is a marketing mix system that combines products, prices, promotions, and places. If buyers are satisfied with the goods sold, they will be loyal. Assuming the reliability of the client is understood, it will affect the expansion of the deal.
THE ROLE OF SOCIAL MEDIA MARKETING ON BRAND AWARENESS AND STUDENT DECISIONS TO CHOOSE UNIVERSITY Yoga Kharisma, Alfin; Haryono, Tulus
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.v4i1.3434

Abstract

This study is aimed to analyze the influence of social media marketing activities on brand awareness and students' decisions in choosing higher education institutions. The population in this study was students of Universitas Duta Bangsa, data collection methods using online questionnaires, and data analysis methods using SEM-PLS. The results of this study found that marketing activities through social media have a positive effect on the decision to choose a university. The components of social media marketing activities that influence the decision to choose a university are entertainment, interactivity, trendy, customization, and E-WOM. Meanwhile, what affects brand awareness is entertainment, customization, and E-WOM.
AN ANALYSIS OF SLANG ON TWITTER IN INDONESIA Setyowati, Ratini; Yanottama , Fourica
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.v4i1.3437

Abstract

Technology provides both exciting opportunities and complex challenges that influence human’s life, one of the influences is language changes. This paper aims to provide the reader with an understanding of the slang types on social media, especially Twitter. This paper applies qualitative data research to discover and research types of slang and why it is used for interactions. Data were collected from document analysis and used the interactive model of data analysis. The results shows that the types of slang language on Twitter showed different results for each type. The highest is acronyms with a percentage of 78,57% and the least are imitative, compounding, and clipping with a percentage of 1,42%. There were 2 reasons for using slang, the reasons is to build a good impact on social interaction, and to use slang language to make the conversation run much more smoothly. The conclusion of this study is people use a variety of languages from formal language to informal. One of language variations is slang on social media or even in daily conversations with types of slang such as fresh and creative, imitative, compounding, clipping, and acronyms.
Data Analytics On Web-Based Document Notification System Rose Mae U. Reyes, Joana; V. Origines Jr, Domingo
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.v5i1.4108

Abstract

This study aimed to address the inefficiencies associated with manual document submission by providing and implementing data analytics within a web-based document notification system. The project also aimed to deliver a user- friendly data analytics dashboard, presenting submitted document data through various visualizations such as count metrics, bar graphs, and tables. This approach holds promise in enhancing decision-making processes, operational efficiency, communication, and collaboration within organizations. Descriptive data analytics methodology was employed to effectively summarize and present data points. Moreover, the project adopted the Rapid Application Development methodology for its development. The project received favorable evaluations from its assessors, attaining high ratings with an overall mean score of 4.17 for functionality, 3.95 for reliability, and 3.98 for usability. Consequently, it successfully achieved its objective of integrating descriptive data analytics into the document notification system. This implementation notably benefited the Human Resource Management Office of Davao del Sur State College by furnishing an analytical dashboard equipped with visualizations such as count metrics, bar graphs, and tables. Furthermore, the system facilitated seamless information updates, empowering administrators to make evidence-based decisions and discern trends within their data.
Validation of System Usability Scale From Expert and Ordinary User Perspective Kelana, Bayu; Riskinanto, Anggar; Nasyiah, Mudrikah; Fajar Fiandhika, Muhammad
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.v5i1.4109

Abstract

This meticulous and comprehensive study aims to provide a thorough overview of the validation results of the ten System Usability Scale (SUS) indicators from the perspectives of experts and ordinary users. The study meticulously compares the validation results of SUS scores in expert and ordinary user groups. The validation results of SUS scores in the expert group are derived from a comprehensive analysis of SUS evaluation results, heuristic evaluation, and interviews with three usability experts. Similarly, the validation results of SUS scores in the ordinary user group are obtained from a rigorous comparison of SUS evaluation results, remote moderated usability testing, and interviews with five ordinary users. While inconclusive, this study's findings shed light on four crucial points. First, there are no universally valid validation results of SUS scores in all SUS indicators from expert and ordinary user perspectives. Second, the ease of use indicator is the only one with a complete and valid evaluation result from the expert perspective. Third, the intuitiveness indicator, while full, yields invalid evaluation results from the standpoint of ordinary users. Fourth, a weak relationship is observed between SUS scores and the results of heuristic evaluation and usability testing. These findings, derived from a robust and meticulous methodology, are expected to significantly contribute to the existing research in application usability, particularly in the context of SUS usage.
Image-Based Recognition of Herbal Plants and Flowers Using Convolutional Neural Networks for Innovative Learning B. Fernandez, Ronald; A. Agustin, Vivien; Contreras, Jennifer
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.v5i1.4110

Abstract

In the current era of rapid technological advancements, there is a significant increase in the demand for technology applications, which are evolving at an astonishing pace. Consequently, obtaining appointments for minor illnesses at hospitals became increasingly difficult due to the overwhelming number of COVID-19 cases. However, being resilient as Filipinos are, the majority tried to find alternative ways to treat minor health concerns by using herbal plants. This study aims to determine the key functionalities required in a mobile application to facilitate innovative learning approaches and effectively enhance students' knowledge and understanding of herbal plants, including their applications and uses. Convolutional neural network is used to develop a real-time image-based recognition system for herbal plants and flowers and a dataset of herbal plants and flowers photos were used to train the system. The mobile application system's functionalities were assessed by learners using ISO 25010, and the findings reveal that the system can identify various herbal plants and flowers with high accuracy. It was concluded that the mobile application functionalities (3.92) are the highest consideration in designing the mobile application to achieve innovative learning when it comes to plants as compared to portability (3.86), usability (3.85), reliability (3.80), and maintainability (3.64).
Implementation of Work in Progress Adjustment Form at PT PLN Nusantara Power Pratama Nugraha, Rizal; Anjar Nugroho, Rizki; Sulistijono, Primaditya
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.v5i1.4113

Abstract

Work In Progress Form is a tool that is used to assess the occupational safety and health program of contractors. However, the Work in Progress Form currently used is made using only best practices. which can increase the risk of work accidents because it does not follow SMK3. Therefore, adjustments need to be made to the current Work in Progress Form. After adjustments were made, the Work In Progress Form which was initially only following 18 of 64 criteria of SMK3 based on PP No. 50 of 2012 at the Initial Level, then after being adjusted, it now follows 38 of 64 SMK3 at initial Level. The implementation of SMK3 at Initial Level was chosen because it's in the project phase. Back then, contractors always got 100% score. When an assessment was carried out using the adjusted Work In Progress Form, for the contractor PLN NPC received score of 90.53% in April 2024 then increased to 95.52% in May 2024. Meanwhile, for the contractor PLN NPS in April 2024, PLN NPS received a score of 88.06% then increased to 93.28% in May 2024. It’s because the form is more in line with SMK3 PP No. 50 of 2012 Initial Level.

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