cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Della Dwi Ayu
Contact Email
della.dwi.ayu@upnvj.ac.id
Phone
+62318945444
Journal Mail Official
notification@umsida.ac.id
Editorial Address
Jl. Mojopahit 666 B Sidoarjo, Jawa Timur 61215
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
Academia Open
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 27147444     DOI : 10.21070/acopen.11.2026.12985
Core Subject : Health,
Medicine & Pharmacology Public Health
Academia Open is published by Universitas Muhammadiyah Sidoarjo published 2 (two) issues per year (June and December). This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics research or review. Academia Open is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 2,389 Documents
 103   104   105   106   107 
Analyzing if calcium channel blockers can save pregnant patients with persistent hypertension from developing preeclampsia: Menganalisis apakah penghambat saluran kalsium dapat menyelamatkan pasien hamil dengan hipertensi persisten dari pengembangan preeklampsia Nada Mohammed Basil; Shatha Salim Mahmood; Ola Hikmat Makki
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8933

Abstract

Pregnant women with chronic hypertension face elevated risks during pregnancy, necessitating effective management strategies. This study evaluates the potential benefits of combining low-dose aspirin therapy with calcium channel blockers, particularly nifedipine, in this population. Thirty-seven participants were enrolled between July 2015 and September 2017, receiving combination therapy as part of their treatment regimen. Results indicate effective blood pressure control without significant adverse events, with 36.8% experiencing preeclampsia but no severe cases reported. Neonatal outcomes were generally favorable, although 15% of babies were classified as small-for-gestational-age, all achieving Apgar scores between nine and ten. These findings suggest promising outcomes with combination therapy, emphasizing the need for further research to optimize management approaches for pregnant individuals with chronic hypertension. Highlight: Controlled blood pressure: Combination therapy effectively manages blood pressure in chronic hypertension. Lowered severe complications: Potential reduction in eclampsia and placental abruption risks. Positive neonatal outcomes: Favorable Apgar scores and reduced small-for-gestational-age incidence. Keywoard: Chronic Hypertension, Pregnancy, Combination Therapy, Low-Dose Aspirin, Calcium Channel Blockers
Applications of Chitosan Polymer Membrane to Removal Methyl Orange Dye from Aqueous Solutions: Aplikasi Membran Polimer Kitosan untuk Menghilangkan Pewarna Metil Oranye dari Larutan Berair Sammah Naeem Ghazi; Saleh Abdel-Sahib Shamukh; Abbas Essam Abdulhassan; Ali JassimEbadi; Muhammad Youssef Jarmal; Rana Ali Qanbul; Rehab Saad abd Ali; Fatima abdalzahra laibi; Fatima Mohammed Mahdi; Zahraa Ali Hussein; Zahraa Mohammed Hassan
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8934

Abstract

In this study, membranes made from chitosan, a natural polymer derived from shrimp shells, were investigated for their ability to remove toxic methyl orange (MO) dye from water. The membranes were characterized using infrared spectroscopy, and the maximum absorption wavelength of MO dye was determined via UV-Visible spectrophotometry. Solutions of varying MO concentrations were passed through the chitosan membranes, and their absorbance was measured before and after filtration. Results showed high removal rates ranging from 85% to 95%, with the highest efficiency observed at 20 ppm MO concentration. This research highlights the potential of chitosan membranes as effective and sustainable solutions for water purification, addressing a crucial environmental and health concern posed by toxic dye pollution. Highlights: High removal rates: Chitosan membranes remove dye efficiently (85%-95%). Eco-friendly: Derived from shrimp shells, chitosan offers sustainable water purification. Advanced analysis: Infrared spectroscopy and UV-Visible spectrophotometry characterize membrane properties. Keywords: Chitosan membranes, Water pollution, Methyl orange dye, Removal efficiency, Environmental sustainability
Water injection in single well model case study: Injeksi air dalam studi kasus model sumur tunggal Jihad Al-Joumaa; Karrar Karem Saddam; Muhammad Ali Hammood; Mustafa Mohammed Fadhil
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8935

Abstract

This study compares two water injection patterns (line drive and five-spot) using CMG software in a cubic reservoir model based on Buzergan field data. Line drive injection showed higher water cut rates due to direct water flow, while the five-spot pattern distributes water flow across the area, resulting in lower water cuts. Economic analysis favors the line drive pattern for its lower setup cost and reduced water injection requirements. These findings offer insights for optimizing injection patterns and maximizing oil production in reservoir management. Highligt: Injection Pattern Comparison: Direct vs. Distributed Water Flow Analysis. CMG Software Simulation: Accurate Reservoir Modeling and Analysis Tool. Cost-Effective Optimization: Maximizing Oil Production with Economical Injection Strategies. Keyword: Water Injection Patterns, CMG Software, Reservoir Management, Oil Production Optimization, Economic Analysis
Resistance pattern of some bacterial isolates from burns and wound infection: Pola resistensi beberapa isolat bakteri dari luka bakar dan infeksi luka Reem Saad Ibrahim
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8936

Abstract

Wound and burn infections present ongoing challenges in healthcare due to multidrug-resistant bacteria. This study aimed to identify bacteria from these infections, assess antibiotic resistance, and evaluate treatment efficacy. Samples from 86 patients were cultured and tested for antibiotic susceptibility. Imipenem showed effectiveness against Gram-negative bacteria, while ciprofloxacin was more effective against Gram-positive bacteria. Rifampicin demonstrated reduced sensitivity. Staphylococcus aureus and Enterobacteriaceae were prevalent, indicating increasing multidrug resistance. These findings emphasize the need for tailored treatment strategies to combat antibiotic resistance effectively in wound and burn infections. Highlight: Resistance Challenge: Addressing antibiotic resistance in wound and burn infections. Tailored Treatment: Importance of customized approaches for effective antibiotic management. Predominant Pathogens: Identifying prevalent bacteria to guide targeted treatment strategies. Keywoard: Wound Infections, Burn Infections, Antibiotic Resistance, Bacterial Identification, Treatment Efficacy
Covid-19 Disease Detector Using X-Rays Based On Deep Learning: Pendeteksi Penyakit Covid-19 Menggunakan Sinar-X Berbasis Deep Learning Ali T. Mohammed; Hussein A. Ghazi; Mustaeen R. Mahdi; MohammedAlbaqer A. Abd Ali; Ahmed A. Fadhil; Ali F. Leebi; Ali M. Sahib; Mohammed S. Jebur
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8937

Abstract

This study presents an automated deep learning approach for the rapid detection of COVID-19 using chest X-ray images. Given the urgent need for efficient disease diagnostics, we utilize convolutional neural networks (CNNs) to develop a ResNet-based classification model. Our dataset includes ten images, five depicting COVID-19 cases and five standard X-ray images, chosen for their rapidity and low radiation dose. The model demonstrates high accuracy, successfully classifying all images. Transfer learning techniques further enhance performance, indicating the potential for broader application and improved diagnostic capabilities. This research addresses the current knowledge gap in automated COVID-19 diagnostics, offering a reliable method for swift and accurate detection, with implications for enhancing disease management strategies. Highlights: Rapid COVID-19 detection using deep learning. High accuracy with convolutional neural networks. Quick results with low radiation in chest X-rays. Keywords: COVID-19, deep learning, chest X-ray, automated diagnosis, convolutional neural networks
Flow injection system design for the determination of brown bismarck dye: Desain sistem injeksi aliran untuk penentuan pewarna bismarck coklat Saif Haider Madlol Mohammed; Noor Razaq Abbas Raheem; Noor Al-Huda Ali Kazem Mohammed
Academia Open Vol. 9 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8938

Abstract

This study presents a low-cost flow injection system for estimating Bismarck brown dye, addressing the need for economical and efficient dye concentration measurement methods. The system's design and optimization process are detailed, focusing on parameters like carrier solution speed, dye model size, frequency, and dilution coefficient. Results show optimal conditions for accurate estimations, with the system outperforming traditional color methods in terms of sensitivity and measurement range. This novel approach offers a practical solution for various analytical applications requiring precise dye concentration assessments, with implications for cost-effective chemical analysis in diverse fields. Highlight: Low-cost flow system for Bismarck brown dye. Optimized for accuracy in dye concentration measurement. Practical and efficient for various analytical applications. Keyword: flow injection system, Bismarck brown dye, low-cost, optimization, dye concentration measurement
Fungi as a Sustainable Solution for Heavy Metal Removal in Wastewater Treatment: Jamur sebagai Solusi Berkelanjutan untuk Menghilangkan Logam Berat dalam Pengolahan Air Limbah Roaa Hassan Al-Tayef; Raad Abdalrazaq Hamdi
Academia Open Vol. 9 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8941

Abstract

This study investigates the ability of non-living fungal biomass from Aspergillus terreus, Rhizopus oligosporus, and Rhizopus arrhizus to reduce heavy metal concentrations in wastewater. Using non-living fungal blocks, the experiment targeted the removal of lead (0.70 ppm), cadmium (0.110 ppm), and copper (0.80 ppm) from wastewater at the Al-Dur district sewage treatment station. Conducted under controlled conditions (25 degrees Celsius, pH 6.5-7.6) over a 24-hour period, the results demonstrated significant reductions in metal concentrations, with statistical significance at P<0.01. These findings suggest that non-living fungal biomass could be a cost-effective and environmentally friendly alternative for heavy metal remediation in wastewater treatment. Highlights: Fungal biomass effectively reduces lead, cadmium, copper quickly. Results statistically significant, demonstrating reliability. Sustainable, cost-effective alternative to chemical treatments. Keywords: Heavy Elements, Aspergillus Terries, Rhizopus Oligosporium, Fungal Biosorption, Non-Living Biomass
Educational Boost Slashes SIDS Risk Awareness Gap Among Nurses in Iraq: Peningkatan Pendidikan Memangkas Kesenjangan Kesadaran Risiko SIDS di Kalangan Perawat di Irak Safa Ahmed Mohammed; Afifa Radha Aziz
Academia Open Vol. 9 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8942

Abstract

This study evaluates the impact of an educational program on nurses' knowledge of Sudden Infant Death Syndrome (SIDS) risk factors at pediatric teaching hospitals in Baghdad City. Using a quasi-experimental design with fifty nurses divided into a control and a research group, we assessed knowledge levels through pre-tests and two post-tests. Results indicated that the educational intervention significantly improved nurses' knowledge from 60% to 76%, although this effect diminished slightly over time. The study underscores the importance of continuous education in enhancing nurse awareness and the implementation of safe sleep practices to reduce SIDS occurrences. Highlights: Educational Impact: The study demonstrates a significant increase in nurses' knowledge about SIDS risk factors following an educational intervention. Sustained Learning: Knowledge gains were observed to diminish slightly over time, highlighting the need for ongoing educational programs. Practical Implications: Enhanced nurse training supports safer sleep practices, potentially reducing the incidence of SIDS. Keywords: Nurse Education, Knowledge, Risk Factors, Sudden Infant Death Syndrome, Safe Sleep Practices
Zamzam Water Surpasses Global Standards in Quality and Mineral Content: Air Zamzam Melampaui Standar Global dalam Kualitas dan Kandungan Mineral Abed Sultan Hassan; Nadia Abd Ellatif Ali
Academia Open Vol. 9 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.8943

Abstract

This study investigates the physical, chemical, and bacteriological properties of Zamzam tap water and two popular bottled waters, "Rounaq" and "Naba' Al- Rayan," in Diyala Governorate. Conducted at Al-Rafidain University College and the Central Public Health Laboratory in Baghdad, the research analyzes taste, odor, color, pH, essential minerals, and bacterial contamination. Findings indicate that Zamzam water excels in sensory qualities and contains beneficial minerals like potassium and magnesium within safe limits, with no bacterial contamination detected. These results affirm Zamzam's superior quality and underline the necessity for regular quality checks of bottled waters to ensure public health safety. Highlights: Superior Sensory Qualities: Zamzam water was notably superior in taste, odor, and color compared to the other bottled waters tested. Mineral Content and Safety: All water samples contained essential minerals like potassium and magnesium within safe limits, confirming their nutritional value and compliance with health standards. Bacterial Purity: No bacterial or pathogenic contamination was detected in any of the water samples, ensuring their safety for consumption. Keywords: Zamzam Water, Bottled Water Quality, Mineral Content, Bacteriological Safety, Sensory Properties
Hubungan Antara Efikasi Diri dengan Kesiapan Kerja pada Mahasiswa Tingkat Akhir Tahun 2017: The Relationship Between Self-Efficacy and Work Readiness in Final Level Students Class of 2017 Fika Rizki Amaliah; Ririn Dewanti Samudera Indriani
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.8949

Abstract

General Background: University graduates face increasing challenges in entering the labor market, requiring adequate psychological readiness alongside academic competence. Specific Background: Work readiness among final-year students is closely related to internal psychological factors, particularly self-efficacy, which reflects an individual’s belief in their capability to perform tasks and achieve goals. Knowledge Gap: Although previous studies have examined self-efficacy and work readiness, limited empirical evidence specifically addresses final-year psychology students at Universitas Muhammadiyah Sidoarjo. Aims: This study aimed to determine the relationship between self-efficacy and work readiness among final-year students. Results: Using a quantitative correlational design with 103 students selected from a population of 140, data were analyzed using Pearson Product Moment correlation. The findings revealed a significant positive correlation between self-efficacy and work readiness (r = 0.915; p < 0.05), with an R Square value of 0.719, indicating that 71.9% of work readiness variance is associated with self-efficacy. Novelty: This study provides empirical evidence within the specific context of final-year psychology students in an Indonesian private university. Implications: Strengthening self-efficacy through institutional support and structured training programs may contribute to improving students’ preparedness for workforce transition. Keywords: Self Efficacy, Work Readiness, Final Year Students, Quantitative Correlational Study, Higher Education Key Findings Highlights A strong positive correlation was identified between psychological belief in capability and employment preparedness. Statistical analysis demonstrated a substantial proportion of variance explained by the independent variable. Most respondents were categorized in moderate to low levels of employment preparedness.

Page 105 of 239 | Total Record : 2389

 103   104   105   106   107 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 11 No. 1 (2026): June Vol. 10 No. 2 (2025): December Vol. 10 No. 1 (2025): June Vol. 9 No. 2 (2024): December Vol. 9 No. 1 (2024): June Vol. 8 No. 2 (2023): December Vol. 8 No. 1 (2023): June Vol. 7 (2022): December Vol. 6 (2022): June Vol. 5 (2021): December Vol. 4 (2021): June Vol. 3 (2020): December Vol. 2 (2020): June Vol. 1 No. 2 (2019): December Vol. 1 No. 1 (2019): June More Issue