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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences JURNAL SIPIL STATIK Majalah Kedokteran Bandung The Indonesian Journal of Occupational Safety and Health Manuju : Malahayati Nursing Journal Jurnal Respirasi (JR) Medica Hospitalia JOURNAL LA MEDIHEALTICO Indonesian Health Journal
Isa, Mohamad
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Dentistry Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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ANALISIS DEBIT BANJIR DAN TINGGI MUKA AIR SUNGAI MARISA KECAMATAN LIMBOTO BARAT KABUPATEN GORONTALO Isa, Mohamad; Sumarauw, Jeffry S. F.; Hendratta, Liany A.
JURNAL SIPIL STATIK Vol 8, No 4 (2020): JURNAL SIPIL STATIK
Publisher : JURNAL SIPIL STATIK

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sungai Marisa adalah salah satu sungai yang berada di Kecamatan Limboto Barat, Kabupaten Gorontalo, Provinsi Gorontalo. Sungai Marisa pernah meluap dan menyebabkan kerugian bagi warga yang tinggal di sekitar sungai, rusaknya areal pertanian serta menganggu lalu lintas kendaraan. Oleh karena itu dibutuhkan perhitungan debit banjir dan elevasi tinggi muka air dari Sungai Marisa.Analisis dimulai dengan mencari frekuensi hujan menggunakan metode Log Pearson III. Data hujan yang digunakan berasal dari dua pos hujan, yaitu pos hujan MRG DAS Limboto Datahu dan pos hujan Klimatologi DAS Limboto. Data curah hujan yang digunakan adalah data curah hujan harian maksimum tahun 2009 s/d 2018. Pemodelan hujan aliran pada program komputer HEC-HMS menggunakan metode HSS Soil Conservation Services, dan untuk kehilangan air dengan SCS Curve Number (CN). Untuk aliran dasar (baseflow) menggunakan metode recession. Dilakukan kalibrasi parameter HSS SCS sebelum melakukan simulasi debit banjir dengan menggunakan uji koefisien determinasi (r²). Parameter yang dikalibrasi adalah lag time, curve number, recession constant, initial discharge dan ratio to peak. Untuk batasan setiap parameter disesuaikan dengan nilai standar pada program komputer HEC-HMS. Hasil uji koefisien determinasi (r²) menunjukkan nilai 0,9799. Kemudian dilakukan analisis debit banjir dengan parameter terkalibrasi menggunakan program komputer HEC-HMS. Debit puncak hasil simulasi setiap kala ulang dimasukkan dalam program komputer HEC-RAS untuk simulasi elevasi tinggi muka air pada penampang. Hasil simulasi menunjukkan bahwa semua penampang Sungai Marisa yang ditinjau tidak mampu menampung debit banjir yang terjadi untuk kala ulang 5 tahun, 10 tahun, 25 tahun, 50 tahun, dan 100 tahun. Kata kunci: Sungai Marisa, Debit Banjir, Tinggi Muka Air, HEC-HMS, HEC-RAS.
Clinical and Laboratory Features of COVID-19 in Ulin Referral Hospital of South Kalimantan: Predictors of Clinical Outcome Haryati, Haryati; Isa, Mohamad; Assagaf, Ali; Nurrasyidah, Ira; Kusumawardhani, Erna; Suhartono, Eko; Arganita, Fidya Rahmadhany
Journal of Tropical Life Science Vol 11, No 3 (2021)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.11.03.06

Abstract

Corona Virus Disease (COVID-19) is becoming a global pandemic. Indonesia, especially South Kalimantan had recorded increasing cases with a high fatality rate of 3.7%. Information about factors related to outcomes based on clinical and laboratory features in Indonesia is still limited. Identification of the risk is crucial to determine optimal management and reducing mortality. This retrospective study enrolled 455 adults COVID-19 patients, and data were extracted from medical records of Ulin General Hospital Banjarmasin. The latter is COVID-19 referral hospital in South Kalimantan between March-November 2020. Demographic data, comorbidities, and laboratory were all collected. Data were compared between survivors and non-survivors. Fisher’s exact test and chi-square were used to compare categorical variables. The Mann_Whitney U test was used to compare continuous variables. Analysis was continued by multivariate logistic regression then receiver operating characteristic (ROC) curve to determine cut-off value. The multivariate analysis showed that number of comorbidities [odds ratio (OR) 1,339 (95% confidence interval (CI): 1,064-1,685, P = 0,013) was a significant risk factor to the outcome. In laboratory, lactate dehydrogenase (LDH) [OR: 1.001, 95% CI: 1,000-1.002, P = 0.001], Ferritin (OR 1.000, CI: 1,000-1.001, P = 0.013), APTT (OR: 1.045, CI: 1.010-1.082, P = 0.012), and D-dimer (OR: 1.188, CI: 1.064 - 1.327, P = 0.002) were significant predictor factors but only LDH, ferritin, and D- dimer were obtained good AUC 0.731, 0.715, and 0.705, respectively. The cut of the value of LDH was 656.5 U/L, ferritin was 672.18 ng/ml, and D-dimer was 2.28 mg/L. Sensitivity and specificity were 66.7% and 68,0% for LDH, 83,2% and 56,3% for ferritin, and 62,8 and 70,8% for D-dimer. From this research, we revealed that the number of comorbidities was a risk factor for death. Elevated LDH, ferritin, and D-dimer could be good predictive factors for poor outcomes, thereby considering the accelerating management of COVID-19 patients.
The Influence of inflammatory factors (IL-6, CRP, NLPR, D-Dimer, LDH) on the PaO2/FiO2 ratio, in patients with severe and critical degrees of COVID-19 Harnoto, Yulia Octaviany; Assagaf, Ali; Pratiwi, Dewi Indah Noviana; Isa, Mohamad; Nurrasyidah, Ira; Kusumawardhani, Erna
Medica Hospitalia : Journal of Clinical Medicine Vol. 10 No. 3 (2023): Med Hosp
Publisher : RSUP Dr. Kariadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36408/mhjcm.v10i3.1014

Abstract

BACKGROUND: Several types of inflammatory biomarkers that are important in severe and critical Covid-19 infections include: levels of IL-6, C-reactive protein (CRP), lactate dehydrogenase (LDH), D-Dimer and neutrophil-lymphocyte platelet ratio (NLRP), which are independent variables. Meanwhile, the severity of Covid-19 infection can be determined by measuring the PaO2 /FiO2 ratio. However, the relationship between the PaO2/FiO2 ratio as the dependent variable is not yet known. AIMS: To analyze the relationship between PaO2/FiO2 ratio and inflammatory biomarkers in COVID-19 patients METHOD: An analytic observational study with a retrospective, cross-sectional approach. The research sample consisted of PCR-confirmed severe and critical COVID-19 patients who were treated in the isolation room of the Ulin Hospital in Banjarmasin from August–December 2021, who met the inclusion and exclusion criteria. Data analysis used the Spearman test to see the relationship between the PaO2/FiO2 ratio and various inflammatory markers. RESULT: 52 severe and critical patients were observed according to the research flow. The number of male and female subjects (32/20) was found. The mean age was 55.38 years. The correlation test found that: there was no significant relationship between the PaO2/FiO2 ratio and IL-6 (p = 0.964), but there was a negative correlation between the PaO2/FiO2 ratio and: a).CRP (p = 0.038), b).LDH ( p<0.001), c).NLPR (p = 0.013), and d). D-dimer (p<0.001). The inflammatory biomarkers NLPR, LDH, and D-dimer are important independent variables for the severity of COVID-19, namely the PaO2/FiO2 ratio. CONCLUSION: There are a significant correlation between the PaO2/FiO2 ratio to measure the severity of Covid-19 and several inflammatory biomarkers CRP, LDH, NLPR and D-dimer  
The Effect Of Nigella Sativa Administration In Reducing Oxidative Damage In Covid-19 Patients: A Clinical And In Silico Study Diany, Holly; Nurrasyidah, Ira; Haryati, Haryati; Isa, Mohamad; Kusumawardhani, Erna
Indonesian Health Journal Vol. 3 No. 3 (2024): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v3i3.552

Abstract

The COVID-19 pandemic has posed significant challenges to public health, particularly about the oxidative damage caused by infection. Nigella sativa, known for its antioxidant properties, has been extensively studied as a potential therapeutic agent to reduce oxidative damage. This study aims to evaluate the effects of Nigella sativa administration in reducing oxidative damage in COVID-19 patients through a clinical and in silico approach. The research methods include a clinical trial on COVID-19 patients supplemented with Nigella sativa and in silico molecular analysis to identify the interaction mechanisms between the active components of Nigella sativa and SARS-CoV-2 proteins. The results showed that Nigella sativa significantly reduced oxidative stress biomarkers in patients, and in silico results revealed the potential of its active components to inhibit critical enzymes of the SARS-CoV-2 virus. Based on these findings, it is concluded that Nigella sativa has potential as an adjunct therapy in reducing oxidative damage in COVID-19 patients. Further research is required to confirm these results through broader, more in-depth clinical trials.
Bibliometric Mapping of Factors Influencing Compliance in Nursing Care Documentation Sai'ah, Sai'ah; Arifin, Syamsul; Isa, Mohamad; Noor, Meitria Syahdatina; Marlinae, Lenie
Malahayati Nursing Journal Vol 6, No 11 (2024): Volume 6 Nomor 11 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mnj.v6i11.17236

Abstract

ABSTRACT Accurate and complete nursing documentation plays an important role in ensuring the quality of nursing care and patient safety. However, adherence to documentation standards among nurses often remains a challenge that affects the overall quality of medical records and clinical interventions. This study was conducted to map research trends and factors affecting compliance in nursing documentation through a bibliometric analysis approach. The main objective of this study was to identify the main topics, key factors, as well as emerging publication trends related to nursing documentation compliance over the past few years. This study used the Publish or Perish application to collect 50 scientific articles published between 2016 and 2024, with keywords such as "compliance", "completeness", and "nursing care documentation". The data obtained was then analyzed using VOSviewer to visualize the bibliometric network based on the keywords that appeared in the literature. Through Network Visualization, Overlay Visualization, and Density Visualization, this study identified the main keywords such as "completeness", "motivation", "knowledge", and "compliance" that were most frequently discussed in related studies. The results of the analysis showed that documentation completeness and its influencing factors, such as nurse motivation and knowledge, are the main focus in the documentation compliance literature. In addition, the publication trend shows a significant increase in 2020 and 2021, most likely related to the COVID-19 pandemic situation that drives increased attention to the quality of documentation in healthcare. The conclusion of this study shows that adherence in nursing documentation, specifically related to the completeness, motivation, and knowledge of nurses, is an important topic that continues to grow in research. Although technologies such as electronic medical records are also relevant, the focus of research seems to be more on behavioral factors that influence documentation quality. This study provides guidance for researchers to identify gaps in the literature that could be further explored, especially in the development of more effective and integrated documentation systems. Keywords: Compliance, Completeness, Nursing Care Documentation, Motivation, Knowledge
Global Research Trends on Factors Affecting Tuberculosis (TB) Adherence and Dropout: A Bibliometric Study Risnawati, Risnawati; Adhani, Rosihan; Isa, Mohamad; Kania, Nia; Febriana, Silvia Kristanti Tri
Malahayati Nursing Journal Vol 6, No 11 (2024): Volume 6 Nomor 11 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mnj.v6i11.17235

Abstract

ABSTRACT Tuberculosis (TB) remains one of the significant global health challenges, especially in resource-limited countries. Adherence to TB treatment is key to successful therapy and preventing the emergence of drug resistance. However, dropout rates or discontinuation of treatment before completion remains a major problem that needs to be addressed. This study aims to analyze global trends in research focusing on factors affecting TB treatment adherence and dropout through a bibliometric approach. Using the Publish or Perish application, relevant scientific articles with keywords such as treatment adherence, tuberculosis, treatment dropout, and influencing factors were searched from 2017 to 2024. A total of 50 articles from Google Scholar were further analyzed to identify by publication year, country, publisher, citation, and article type. The data was then processed using VOSviewer to visualize the relationship between keywords and research trends through Network Visualization, Overlay Visualization, and Density Visualization. The results of the analysis showed that Indonesia is the country with the highest number of publications, demonstrating a great commitment in addressing the TB challenge. Articles published in reputable journals, especially those adopting systematic and meta-analysis approaches, show great impact with a high number of citations. Bibliometric visualizations reveal that the focus of research lies on factors such as treatment, adherence, health workers, and access. In addition, family and community support was also found to be an important element in ensuring treatment adherence. In conclusion, this study emphasizes the need for a comprehensive and collaborative approach in improving TB treatment adherence and preventing dropouts. Further research in this area is needed to address existing gaps and develop more effective strategies in the fight against TB. Keywords: Treatment Adherence, Tuberculosis, Dropout, Influencing Factors, Health Worker
Lead (Pb) Exposure on Hemoglobin Levels and Decreasing Lung Function of Fuel Station Workers Banjarmasin Taufiqurrahman, Muhamad; Ansori, Isa; Noor, Meitria Syahadatina; Haryati, Haryati; Assagaf, Ali; Isa, Mohamad
The Indonesian Journal of Occupational Safety and Health Vol. 13 No. 3 (2024): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v13i3.2024.271-277

Abstract

Introdution:Exposure to airborne pollutants such as lead (Pb) can cause health problems. Fuel stations are one of the places with a high risk of Pb exposure sourced from fuel or motor vehicle exhaust emissions. This research aims to know the effect of Pb exposure on hemoglobin levels and lung function in fuel station workers. Methods: This study was observational, analytical, and cross-sectional on 40 fuel station workers in South Banjarmasin District. Urinary Pb measurement was carried out by spectrophotometry, then the relationship to peripheral blood hemoglobin (Hb) levels and lung function was analyzed based on FEV1 (%), FVC (%), and FEV1/FVC ratio with a simple linear regression test. The data met the classical assumptions of normality, heteroscedasticity, and with no autocorrelation. If abnormal distribution was found, data transformation was carried out. Results: Study obtained urinary Pb levels below the normal threshold of 0.0356±0.0074 ppm. Respectively, urinary Pb levels did not have a significant effect on Hb levels (mean±SD:14.39±1.41, adjusted R2:6.2%, p=0.067), FEV1 (94.15±6.93, 5.8%, p=0.074) and FVC (89.68±6.24, 0.5%, p=0.380). However, urinary Pb significantly correlated with decreasing the FEV1/FVC ratio (90.87±3.36, 10%, p=0.026) with the equation y=96.550159.454x even without any obstruction value. Conclusion: This study showed that urinary Pb levels were normal. An increase in urinary Pb levels has a significant effect on decreasing the FEV1/FVC ratio. Prevention to reduce the health impacts of Pb needs to be taken. More research on at-risk populations with longer years of service needs to be done
The Effect of Suplementation Omega-3 on Sputum Conversion, Body Mass Index, Interleukin-6 and Monocyte Lymphocyte Ratio in the Treatment of Pulmonary Tuberculosis Ferryansyah, Ferryansyah; Isa, Mohamad; Juhairina, Juhairina; Haryati, Haryati; Assagaf, Ali; Kusumawardhani, Erna
Journal La Medihealtico Vol. 6 No. 3 (2025): Journal La Medihealtico
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamedihealtico.v6i3.2041

Abstract

Tuberculosis (TB) is a disease caused by Mycobacteriun Tuberculosis. Its cases continue to increase both in Indonesia, and in the world. Efforts to increase the success rate of TB treatment and reduce the level of transmission need to continue to be developed, one of which is with additional therapy in its treatment. Omega-3 has anti-inflammatory and anti-bacterial potential, which is predicted to increase the success of TB treatment, as seen from sputum conversion, increased body mass index (BMI) and important inflammatory parameters in TB infection namely interleukin-6 (IL-6), monocyte lymphocyte ratio (MLR) values. This study was conducted to determine the effect of Omega-3 addition on sputum conversion, BMI, IL-6 levels and MLR values in pulmonary tuberculosis treatment. Experimental study with consecutive sampling in drug-sensitive pulmonary TB patients who were given additional Omega-3 dose of 1,200 mg (@600mg/capsule), compared with the control group. Each sample was monitored for sputum conversion, BMI, IL-6 levels and MLR values at week 0 (m0), week 4 (m4) and week 8 (m8). In this study, there was a significant effect of adding Omega-3 on reducing IL-6 levels (p= 0.013), reducing MLR values (p= 0.005) and increasing BMI (p= 0.047) but no significant effect on sputum conversion (p= 1,000). The addition of Omega-3 had a significant effect on reducing IL-6 levels, reducing MLR values and increasing BMI, but did not have a significant effect on sputum conversion in pulmonary TB treatment.
Prognostic Nutritional Index (PNI) at Admission Predicts In-Hospital Mortality of COVID-19-Infected Patients Haryati, Haryati; Isa, Mohamad; Rudiansyah, Mohammad; Juhairina, Juhairina; Nor, Muhamad; Arganita, Fidya Rahmadhany
Majalah Kedokteran Bandung Vol 57, No 2 (2025)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15395/mkb.v57.3930

Abstract

Corona Virus Disease-2019 (COVID-19) was declared a pandemic in March 2020 and caused considerable deaths in all parts of the world. Mortality is influenced by the immune system status and increased vulnerability to infection, both related to nutritional status. The Prognostic Nutritional Index (PNI), calculated using lymphocyte count and albumin levels, may have the ability to more accurately characterize the nutritional and inflammatory conditions of COVID-19 patients. This retrospective study analyzed 967 COVID-19 patients at Ulin Hospital Banjarmasin, Indonesia, by examining demographic data, laboratory results, and PNI in relation to survival outcomes. The study revealed that factors such as age, sex, comorbidities (including hypertension, diabetes mellitus/DM, obesity, etc.), number of comorbidities, and disease severity correlated with mortality. Leucocyte count, lymphocyte count, albumin levels, and PNI all showed significant correlations with survival (p<0.001), suggesting that these factors may serve as useful prognostic indicators for COVID-19 patient’s survival. The PNI was associated with an increased risk of mortality, with a univariate odds ratio (OR) of 0.923. Receiver operating characteristic (ROC) analysis demonstrated that a PNI cut-off value of p<41.9 had a sensitivity of 44.9% and a specificity of 82.4%, with an area under the curve (AUC) of 0.666 (p<0.001). Hence, PNI at admission, which reflects patients' immune system and nutritional status upon hospital admission, can be used as a simple, cost-effective, and reliable predictor of mortality in COVID-19 patients.
Differentiation of Malignant Pleural Effusions from Lung Squamous Cell Carcinoma and Adenocarcinoma through FTIR Spectroscopy: A Prognostic Approach Madargerong, Vincentius Adrian; Suhartono, Eko; Oktaviyanti, Ika Kustiyah; Haryati, Haryati; Isa, Mohamad; Assagaf, Ali; Kusumawardhani, Erna; Nurrasyidah, Ira; Syafa’ah, Irmi
Jurnal Respirasi Vol. 11 No. 2 (2025): May 2025
Publisher : Faculty of Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jr.v11-I.2.2025.114-122

Abstract

Introduction: Malignant pleural effusion (MPE) is common in cancer patients and is often caused by neoplastic involvement of the pleural surface. This study aimed to determine the utility of Fourier transform infrared spectroscopy (FTIR) spectral analysis and anatomical pathological differentiation in MPE, squamous cell carcinoma (SCC), and lung adenocarcinoma as prognostic predictors. Methods: This study used a cross-sectional design at Ulin General Hospital, Banjarmasin, involving advanced lung cancer patients with MPE. A non-probability sampling technique was used to recruit 30 patients. Fourier transform infrared spectroscopy was analyzed to evaluate anatomical pathology differentiation. Results: Differences were observed in the FTIR spectral ratios A1080/A1243 and A1080/A1170 between SCC and adenocarcinoma, with p-values of 0.026 and 0.022, respectively. Significant differences were also found in the A2959/A1545 ratio between well-differentiated and poorly differentiated adenocarcinomas, with a p-value of 0.023. The receiver-operating characteristic curve (ROC) indicated good predictive value for poorly differentiated adenocarcinoma at a cut-off value of 0.944, with a sensitivity of 50% and specificity of 100%. However, no significant correlation was found between FTIR absorbance and anatomical pathology differentiation in MPE due to SCC and lung adenocarcinoma. Conclusion: The FTIR spectral ratios A1080/A1243 and A1080/A1170 differentiate SCC from adenocarcinoma. Fourier transform infrared spectroscopy may be an adjunct to cytology, offering a more rapid and cost-effective method for differentiating MPE.
Co-Authors Ali Assagaf Arganita, Fidya Rahmadhany Dewi Indah Noviana Pratiwi, Dewi Indah Noviana Diany, Holly Eko Suhartono Ferryansyah, Ferryansyah Harnoto, Yulia Octaviany Haryati Haryati Ika Kustiyah Oktaviyanti Ira Nurrasyidah Isa Ansori Jeffry Swingly Frans Sumarauw Juhairina, Juhairina Kusumawardhani, Erna Lenie Marlinae Liany Amelia Hendratta Madargerong, Vincentius Adrian Meitria Syahadatina Noor Mohammad Rudiansyah Muhamad Taufiqurrahman, Muhamad Nia Kania Noor, Meitria Syahdatina Nor, Muhamad Risnawati Risnawati Rosihan Adhani, Rosihan Sai'ah, Sai'ah Silvia Kristanti Tri Febriana Syafa’ah, Irmi Syamsul Arifin