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PELS (Procedia of Engineering and Life Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 662 Documents
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Evaluation of Diagnostic Specifications and Appropriateness of ICD Codes for Diabetes Mellitus Based on Age and Gender of Inpatients in Magelang City Hospital in 2023 Mulyati, Ratnaningsih; Prasetya, Jaka; Agiwahyuanto, Faik
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1942

Abstract

Diabetes militus is classified into two types, namely type 1 and type 2, the disease ranks top as a non-communicable disease with a high number of sufferers. The determination of diagnoses and diagnosis codes must be precise so that the codes given by PMIK can be declared specific and appropriate, therefore it is necessary to review the provision of diagnosis codes on patients to determine the factors that cause non-specific and inappropriate codes based on age and gender and present the distribution of diabetes militus in Magelang City. The method used was descriptive qualitative by observing 144 medical record documents of patients with the main diagnosis of diabetes mellitus. The results showed that the specification of the main diagnosis of diabetes mellitus in Magelang City Hospital was 100%. The suitability of the main diagnosis code of diabetes mellitus based on the category can be concluded that the specific and appropriate code was found as much as 61%. While specific and inappropriate codes were found at 39%. The age of patients with diabetes is 23-90 years old, with the average age of patients being 59 years old. Patients with 56 years of age occupied the highest number of sufferers. Patients with female gender are more dominant in experiencing diabetes militus, when presented it reaches 63% while male patients are only 37%. The highest distribution of patients with diabetes mellitus in Magelang Hospital came from outside the city, namely Magelang District or 68%. Patients in Magelang city only reached 32%. Suggestions for further research would be better to consider taking the file period to avoid recording medical records during the media transfer period
Documentation of Tuberculosis Statistic Data Reporting at Primary Healthcare Facilities in Malang City Prisusanti, Retno Dewi; Afifah, Lilik
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1944

Abstract

Background: Tuberculosis is one of the top ten causes of death in the world, and is a serious public health problem in Indonesia. Malang City is one of the regions in Indonesia with a high incidence of TB. Based on data from the Malang City Health Office in 2023, there are 2,500 new TB cases with a death rate of 200 people. This shows that TB is still a public health problem that needs serious attention in Malang City. Objective: what is to be achieved in this study in order to find out the implementation and process of documenting the reporting of tuberculosis statistical data at the first level health service facility in the city of Malang. Research method: the research method uses qualitative descriptive with one respondent in each Health Service Facility that has been interviewed directly. Results: The results of this study refer to the implementation and process of documenting the reporting of tuberculosis statistical data at the first level of service facilities in Malang City. Conclusion: Documentation of TB statistical data reporting at FKTP Malang City is still not optimal. Efforts need to be made to improve the documentation of TB statistical data reporting at the Malang City FKTP.
Evaluation of the Implementation of Outpatient Electronic Medical Records Rosita, Riska; Risqika, Azzahra Mifta; Yuliani, Novita; Devhy , Ni Luh Putu
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1946

Abstract

The implementation of Electronic Medical Records (EMR) in X hospital has been running since 2022 but its use is still not optimal, especially in outpatient installations. This study aims to evaluate the implementation of outpatient EMR at X Hospital based on the HOT-FIT (Human, Organisation, Technology, and Net Benefit) framework. The research method with descriptive qualitative, uses a cross sectional approach. The research subjects were the head of medical records, head of outpatient polyclinic, head of outpatient registration, head of pharmacy, head of laboratory, doctor, head of cashier and head of IT team. The object of research was the implementation of outpatient EMR. Data collection through interviews and observations. The results showed that in the human aspect, there were still doctors who could not use EMR due to age. In the organization aspect, the standard operating procedures (SOPs) regarding EMR are still in draft form, have not been approved by the hospital director and have not been socialized. In the technology aspect, EMR system features that are not in accordance with user needs cause the output of health data information to be incomplete. The net-benefit aspect of RME, the use of EMR is more time efficient in health services and paperless. Conclusion, that the development of EMR at Hospital X is still ongoing, starting from improving the competence of medical personnel, organizational commitment, and improving the EMR system coding.
Optimizing the Success of Hospital Management Information Systems in the Digitalization Era Amalia, Rizkiyatul; Lestari, Sri
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1947

Abstract

Digitalization has changed aspects, one of which is in the Healthcare sector. Digitalization will help organizations overcome the problem of limited resources. Hospital management information systems (HMIS) are becoming increasingly important in operational, clinical, and administrative management. Although many hospitals have adopted HMIS, not all systems have successfully achieved their goals. Some common problems include data integration difficulties, user resistance, and lack of management support. Accurate and complete data is key to the success of HMIS. However, hospitals still face challenges in managing data quality. HMIS can provide valuable data to support strategic and operational decision-making. However, existing data has not been optimally utilized. The study aims to analyze how system quality affects HMIS Implementation. This study used an analytic observational method conducted at Dr. Gondo Suwarno Hospital. The sample consisted of 65 HMIS users. Data analysis in this study used SEM (Structural Equation Modeling) analysis techniques. The application used is Smart Partial Least Square (SmartPLS). The results showed that the quality of the system on the implementation of HMIS through System Use and Organizational Structure provides a negative value. The path coefficient values obtained are -0.005 and -0.048 and the P-value is 0.722 and 0.256. The implication of this result is that system quality should be able to increase system usage, in the context of this study, the quality of the existing system is not enough to encourage users to be more active in using HMIS. This may be due to other factors such as lack of adequate training or technical support for users. system quality did not contribute significantly to the organizational structure that supports the implementation of HMIS. Although the existing system has certain qualities, the existing organizational structure may not be supportive enough to facilitate effective implementation.
An Online-based Application of Health Education Media for Prolanis Participants Wijayanta, Setya; Naryanti, Indah
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1949

Abstract

Prolanis is a government program to reduce the prevalence of chronic diseases and prevent patients with chronic diseases from entering the complication stage. In Prolanis activities conducted by health facilities or Fasyankes, Prolanis participants sometimes come late to the health education activities, so participants do not receive information or benefit from health education activities. The purpose of this study is to investigate the use of online-based health education media for Prolanis participants. This research method is descriptive, with primary data sources from the interviews, documentation studies and literature. The application is developed using the prototype method. The Prototypes is created, evaluated, and continued to the implementation stage. The result of this research shows the developing of an online-based application for presenting health education materials to Prolanis participants. This application was tested on Prolanis participants from Padangsari Puskesamas in Semarang City and received positive responses from them. However, some participants still complained about the limited access to smartphones and the assistance need for elderly participants.
Implementation of the Support Vector Machine Method for Early Detection of Stunting Based on Anthropometric Features Widodo, Sri; Sulistiyanti, Anik; Yuliana , Anan
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1951

Abstract

Stunting describes chronic undernutrition during the growth and development period from the beginning of life. This situation is represented by a z-score for height for age (TB/A) less than -2 standard deviation (SD). The current method used to detect stunting in toddlers is to use KMS. The way to do this is to weigh the under-fives every month, the weighing results are recorded in the KMS, and between the points of weight from last month's weighing results and the results of this month's weighing are connected with a line. The series of child growth lines forms a child growth chart. This procedure is of course less effective. Based on these problems, the research conducted is the Implementation of the Support Vector Machine Method for Early Detection of Stunting Based on Anthropometric Features. The SVM method consists of a training process as system learning and testing to obtain classification results. The parameter tests carried out are lambda, complexity, and maximum iteration tests. The data used in this study were 90 data which were divided into 2 classes, namely stunting toddlers and normal toddlers. The SVM algorithm is a linear classification method, so it uses the kernel to deal with nonlinear data. The final results of this research produce the highest average accuracy of 86% λ = 10, C = 1, itermax = 200 and also use polynomial kernels. Comparison of the results of the classification of child stunting with the help of midwives shows that the system produces good accuracy
Factors Associated with Length of Stay of Inpatients: A Cross-sectional Study at RSD KRMT Wongsonegoro, Semarang, 2024 Fani, Tiara; Saptorini, Kriswiharsi Kun
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1953

Abstract

Length of hospital stay is an essential indicator of the quality of inpatient hospital services, including in RSD KRMT Wongsonegoro as a Type B hospital in Semarang City. There were various factors related to the length of hospital stay. Therefore, the study objective was to determine the factors associated with the length of stay of inpatients at RSD KRMT Wongsonegoro Semarang. The cross-sectional study distributed a questionnaire to 122 inpatients in RSD KRMT Wongsonegoro from January to February 2024. The variables in this study were patient characteristics, self-rated health status (physical and mental), and hospital stay. The data analysis used descriptive and inferential statistics with comparative tests to determine the study objective. The results showed that the average length of hospital stay among the respondents was five days. The majority of respondents in this study were female patients (55.7%), junior high school (36.9%) and high school graduates (31.1%), and aged >45 years or older (63.9%). The results of the comparison test showed that gender (p-value: 0.987), education (p-value: 0.278), and age (p-value: 0.425) were not associated with the number of patient care days. Based on the comparison test, self-rated physical health (p-value: 0.034) and self-rated mental health (p-value: 0.016) were significantly associated with the number of hospital days. In general, patients who perceived poor physical and psychological health had longer hospital stays than patients who perceived better physical and mental health. Therefore, hospitals need to assess patients' perceived physical and mental health status to improve inpatient services.
Development of a Machine Learning-Based Web Application for Quality Justification in Dialysis Healthcare Nisak, Umi Khoirun; Kautsar, Irwan Alnarus; Ilmi, Laili Rahmatyul; Natasya, Nabila Insyira; Cholifah, Cholifah; Aditiawardana, Aditiawardana
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1962

Abstract

The quality of healthcare services, especially for chronic conditions like kidney failure requiring dialysis, is critical. This study aims to develop a machine learning-based web application to evaluate and justify dialysis healthcare quality. Conducted at Siti Khodijah Hospital from January to June 2024, the research employed a developmental and experimental design involving 123 medical professionals. The methodology included needs assessment, system design, algorithm selection, data collection, model training, system integration, and validation. The web application, named Renal Data Processor, features user-friendly navigation, robust data visualization, and machine learning algorithms. It provides real-time analysis and predictive insights, allowing healthcare providers to make data-driven decisions. Results showed significant improvements, including a 20% reduction in data entry time and a 15% enhancement in nurse certification tracking efficiency. User feedback indicated high satisfaction with the application's functionality and its impact on workflow efficiency. In conclusion, the Renal Data Processor has enhanced dialysis healthcare quality by streamlining data management and providing actionable insights. This study demonstrates the potential of machine learning to transform healthcare delivery and outcomes, suggesting further research to expand its capabilities and applicability in other healthcare settings.
Implementing Artificial Intelligence in the United Arab Emirates Healthcare Sector Alhashmi, Shaikha FS; Salloum, Said A.; Mhamdi , Chaker
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1984

Abstract

The United Arab Emirates (UAE) has recently focused on implementing Artificial Intelligence (AI) projects in the government healthcare sector to help manage chronic diseases and early detection. However, successful AI implementation depends on adoption and acceptance by decision-makers, physicians, nurses, and patients. This paper develops and tests a modified Technology Acceptance Model (TAM) to explore critical success factors (CSFs) for the adoption of AI in the healthcare sector. The most widely used CSF variables for TAM are Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitudes toward Use (ATU) and Behavioral Intention to Use (BIU). However, a review of 23 qualitative and quantitative studies of TAM literature from 2015 to 2018 suggested that five key external factors should be included in CSF studies using TAM. An extended model was developed (ETAM) and tested using a qualitative study comprising 53 employees working in the Dubai IT and healthcare sectors. The study showed that managerial, organizational, operational and IT infrastructure factors have a positive effect on PU and PEU and, hence, should be included as CSFs in determining the implementation of AI in the healthcare sector.
Study of Some Immune Changes That Related to Leishmania (CL) Infection Shaker, Maha Mahmoud
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.2063

Abstract

Cutaneous leishmaniasis is an infection of the skin. The symptoms graduated causes bumps that after that turn into ulcers (large) in the future. Healing may take a long time. Symptoms begin within weeks or may be months after bite of sand fly.This study was conducted in the city of Hilla. This study included 90 patients who were selected from visitors to private clinics. These study participants were then divided into two groups of similar ages. The first group included 60 people with cutaneous leishmaniasis who were diagnosed by a doctor, in addition to a second group that included 30 people who were not infected with any disease as a control group. Cytokine concentrations were also measured using... ELISA technique, then statistical testing was performed. Results: showed high concentration of the cytokines that were under study interleukin 17 and interleukin 33 in the patient group compared to the group of control. Conclusions and recommendations: The increase in the level of cytokines in the patient group may indicate the role that these cytokines play in the regression of the disease Highlights: Cutaneous Leishmaniasis: Skin infection causing bumps, ulcers, slow healing. Study Groups: 60 patients, 30 controls, cytokines measured via ELISA. Findings: Elevated IL-17, IL-33 indicate cytokines' role in disease regression. Keywords: Cutaneous leishmaniasis, cytokines, interleukin-17, interleukin-33, ELISA

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