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International Journal of Science Technology and Health
Published by Institut Sains Teknologi dan Kesehatan Aisyiyah Kendari
ISSN : 30217636     EISSN : 30217636     DOI : -
Core Subject : Health, Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Health Professions Public Health
International Journal of Science Technology and Health (IJSTH) is an International journal with a frequency of 2 (two) times a year (January and July), published by the Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), ISTEK Aisyiyah Kendari. Manuscripts submitted must be original Research Articles and Literature Reviews which aim to contribute and disseminate sustainable updates in relation to Science, Technology, and Health research. Submission of manuscripts requires the work described has never been published before, not being considered for publication in another journal, publication was approved by all authors. The publisher will not be legally responsible if there is a compensation claim. Published articles cover key areas in the development of chemical and environmental engineering, such as Science, Technology and Health.
Arjuna Subject : Umum - Umum
Articles 6 Documents
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Search results for , issue "Vol 2 No 1 (2024): Science, Technology and Health" : 6 Documents clear
Review of Risk Management and Patient Safety in the Context of Hospital Quality Management: Literature Review Asriani Asriani; Suci Dwi Yanti; Vergina Anggraini Abrar; Nurul Fajriah Istiqomah
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

Introduction: One of the elements of general welfare of national goals is the realization of optimal health. Therefore, quality health services will become one of the basic needs required by everyone. In improving quality and patient safety, there are risks that must be overcome to get the desired results, for this reason hospitals need to carry out risk management. Risk management is closely related to the implementation of patient safety and worker safety in hospitals and has an impact on achieving hospital quality, etc. Methods and materials: This research is a literature review based on sources from Google Scholar with the search keyword "Risk Management and Patient Safety to Improve Hospital Quality Management." A total of five articles were identified and used in this research. Articles used in the literature review are limited to 2019-2023. Research results: Risk management and patient safety depend heavily on effective communication, knowledge and good attitudes from all parties involved in the hospital. Accurate and consistent implementation of policies and procedures is an important foundation, and the use of information technology can facilitate risk reporting and analysis. Audits and evaluations need to be carried out to ensure the effectiveness of actions provided by medical and non-medical personnel in accordance with procedures.
Performance Test of Residu Powder Distillation from Fermentation Result Cocoa Fruits (Theobroma Cacao L.) as Adsorbent For Metal Ions (Cr3+, Fe3+, Pb2+) Kaharuddin Kaharuddin; Kurnia Sri Yunita; Muh. Edihar; Mawaddah Zaqinah Diah; Salniati Hade; Sapril Kartini
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

Research this which is used as an adsorbent powder obtained through hydrolysis, fermentation and distillation of cacao fruit skin. This study aims to determine the ability of the cacao fruit skin powder to adsorb metal ions chromium (Cr3+), iron (Fe3+) and Lead (Pb2+) with adsorbent mass variation. Adsorption is done on metal chromium (Cr3+), iron (Fe3+) and lead (Pb2+) with three variations of the adsorbent mass of 0.25, 0.50 and 0.75 grams. The results showed that the performance of cacao fruit skin powder the most effective to metal ions lead (Pb2+) with percent adsorption 97.70%, for metal ions iron (Fe3+) with percent adsorption 94.33%, and crom (Cr3+) metal ions with the percent adsorption was 89.71% with adsorbent mass of 0.75 grams.
Microwave-assisted extraction of Phenolic Compounds from Pineapple Peel against Staphylococcus aureus and Escherichia coli Mashuni Mashuni; Fitri Handayani Hamid; M Jahiding; Nur Cahya Islamiati MR; Sitti Hadijah Sabarwati; Andi Muhammad Naufal Khaeri
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

Pineapple production is mostly marketed as a processed product, resulting in large amounts of industrial waste consisting of pineapple peel, core and crown. This study evaluated organic solvents for microwave-assisted extraction (MAE) of phenolic compounds from pineapple peel and their total phenolic content and antibacterial activities. The application of microwave technology in phenolic extraction provides a fast extraction process and produces higher yields. In addition, organic solvent ethanol is considered an environmentally friendly solvent characterized by low toxicity and increased capacity to extract bioactive compounds. The solvent compositions are ethanol (80%), ethanol-HCl (80%-5%), and ethanol-NaOH (80%-5%). A higher phenolic compound was obtained using ethanol-HCl (80%-5%) of 2.68 mg eq GA/g DW. The results of the antibacterial activity test against Staphylococcus aureus was 19.00 mm and Escherichia coli was 19.31 mm. These results indicate that pineapple peel extract from ethanol-HCl solvent can be an effective antibacterial agent.
Literature Review: The Importance of Patients Satisfaction in Hospital Quality Management Suci Dwi Yanti; Alifa Ainaya Gafar; Mujtahidah Salim
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

Introduction: Hospital is a health service institution that provides comprehensive health services for individuals, including inpatient, outpatient and emergency services. Patient satisfaction is measured through emotional responses, such as feelings of joy and satisfaction, that arise in patients because their needs, hopes and desires are met in receiving health services. There is a link between hospitals, patient satisfaction, and quality management; where hospital quality management has a significant role in influencing patient satisfaction and service quality. This research uses a literature review method with sources from Google Scholar using the keyword "The Importance of Patient Satisfaction in Hospital Quality Management". The research results showed that three aspects, namely staff communication, hospital responsiveness, and environmental cleanliness and comfort, were proven to have an impact on hospital quality management.
Health Data Analysis for In-Depth Understanding of Patterns, Prediction, and Disease Management: A Case Study on Diabetes Mellitus Syaiful Bachri Mustamin; Muhammad Atnang; Sahriani Sahriani; Baso Sulham; Samsidar Samsidar
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

The present study aims to address the intricate nature of diabetes mellitus by employing data analysis to gain profound insights into individual health patterns, predict risks of complications, and formulate personalized solutions for disease management. Data were sourced from diverse repositories, including the UCI Machine Learning Repository, Kaggle, and Data.gov, encompassing medical records, laboratory histories, and lifestyle data of diabetes patients. Preprocessing involved outlier detection, normalization, and handling data imbalances using the Synthetic Minority Over-sampling Technique (SMOTE). Principal Component Analysis (PCA) was utilized for feature extraction to facilitate a comprehensive understanding of health patterns. Predictive models, namely Random Forest, Support Vector Machine, and Neural Network, underwent rigorous training and validation. Concurrently, disease management solutions were crafted based on model recommendations. Research findings demonstrated commendable performance, particularly with the Neural Network model achieving an AUC-ROC of 0.92. This study's contribution is anticipated to usher in novel approaches in chronic disease management, particularly diabetes, by applying data science principles to enhance comprehension, prediction, and disease management, potentially elevating the quality of life for patients.
Analysis of Risk Factors for Low Birth Weight Babies (LBW) in the Working Area of RSU Bahteramas Southeast Sulawesi La Ode Muhammad Ady Ardyawan; Alwahab Alwahab; Dwi Anggriani; Wa Ode Gustiani Purnamasari
International Journal of Science Technology and Health Vol 2 No 1 (2024): Science, Technology and Health
Publisher : LPPM ISTEK 'Aisyiyah Kendari

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Abstract

This study aims to analyze the risk factors for LBW events at Bahteramas General Hospital in Southeast Sulawesi in 2020. This type of research is an analytic descriptive study with a case-control design. This research was conducted at Bahteramas General Hospital in Southeast Sulawesi in 2020. This research was conducted to collect secondary data, namely patient medical records. The sample in this study were mothers who gave birth to LBW babies, and the control sample in this study were mothers who gave birth to babies who were not LBW, with a total sample of 136 samples consisting of 68 case samples and 68 control samples. Data were analyzed using the Odds Ratio test. The results of this study showed that maternal age was a risk factor for LBW with OR = 3,16 (1,57-6,90; 95%), maternal parity was a risk factor with OR = 2,07 (1,00-4,25; 95%), and petting is also a risk factor for LBW with OR = 5,03 (1,05-24,24; 95%). Maternal age, maternal parity, and obesity are risk factors for LBW events in the Working Area of RSU Bahteramas, Southeast Sulawesi, in 2020.

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