Wound Healing Effect of Laportea decumana Leaf Extract in a Biocellulose Wound Dressing for Polymicrobial-Infected Wounds in Rats

Diabetes is one of the risk factors that causes COVID-19 infection to become more severe and critical and has a prognostic impact on the course of COVID-19 to a more severe form of infection, even causing death. It turns out that 36% of deaths in COVID-19 patients are related to diabetes. The COVID-19 pandemic has decreased the health of people with diabetes mellitus due to changes in lifestyle, social and economic conditions which also have an impact on quality of life. Several studies on interventions aimed at improving the quality of life of Type 2 DM patients have been carried out, but very few studies have examined appropriate interventions during the current COVID-19 pandemic, which actually has many changes in lifestyle, social and economic conditions that have an impact on the quality of life of people with Type 2 DM. Interventions through family support are one of the focuses of this study as well as physical activity interventions. Likewise, interventions through education that focus on self-efficacy of Type 2 DM patients, related studies are still rarely conducted even though good self-efficacy will improve the quality of life of Type 2 DM patients. This study aims to improve the quality of life through family support, self-efficacy education, physical activity and modules in Type 2 DM patients in the Barombong & Aeng Towa Health Center work area during the Covid-19 pandemic using a quasi-experimental design with a non-randomized pretest posttest with control group (Murti B., 2018). This study used two groups, namely the intervention group and the control group through the stages of data collection, pre-test in the intervention and control groups, intervention in both groups, post-test for the intervention group and control group

The number of elderly people (elderly) is increasing in Indonesia. This has implications for changes in disease patterns in society. One of them is Alzheimer's, the number of which shows an increase. Alzheimer's disease is a type of dementia that causes impaired memory, thinking and behavior. Alzheimer's is associated with anemia, cognitive decline and sleep disorders. To overcome these problems, synthetic drugs are usually used. However, these drugs are accompanied by side effects such as liver damage and heart slowing. One natural ingredient that has many benefits is honey. Based on literature studies, it was found that honey is effective in improving Hb levels, cognitive abilities and sleep quality. This study aims to examine the effectiveness of giving honey on Hb levels, cognitive abilities and sleep quality in the elderly. This study is a quasi-experimental study with a randomized single-blinded design. The study will be conducted in the work area of ​​the health center in Makassar City in January - August 2023. The inclusion criteria are elderly age 60 years and over, do not have a history of serious illness, are recommended by a doctor to participate in the study and are willing to be involved in the study. Exclusion criteria were withdrawal or death and not consuming honey more than 80% of the intervention given. The number of samples needed was 44 people, 22 people each for each treatment group. Hb levels were measured using Easy touch Hb, cognitive ability was measured using the Mini Mental State Examination (MMSE) questionnaire, sleep quality was measured using the Pittsburgh Sleep Quality Index, anthropometry was measured using a seka scale and microtoise, and diet was measured using FFQ-SQ. The intervention group was given honey for 2 months as much as 10 ml/day, while the control group was given education about Alzheimer's for 1 session. Data analysis was carried out using SPSS according to the research objectives. To see the difference in Hb levels, cognitive ability and sleep quality in the intervention and control groups, the independent T test was used, while to see the difference in Hb levels, cognitive ability and sleep quality before and after the intervention, the paired t test was used.

This study aims to explore the therapeutic potential of Chromolaena odorata L. extract in inhibiting inflammatory processes involved in the pathogenesis of atopic dermatitis (AD). Given the limitations and side effects of long-term corticosteroid and immunomodulator use, alternative treatments derived from natural products are crucial. C. odorata L., traditionally used for wound healing, possesses anti-inflammatory properties that may benefit AD treatment. The research will involve extraction, fractionation, in vitro anti-inflammatory screening assays, and in vivo evaluation using a DNCB-induced AD model in animals, assessing clinical and histological improvements.

This study aims to investigate the therapeutic potential of Lannea coromandelica bark extract, a traditional remedy used by communities in South Sulawesi for wound healing, abdominal pain, and cough relief. The research focuses on identifying the bioactive compounds responsible for its anti-inflammatory and wound-healing properties and evaluating their efficacy through a combination of in vitro, in vivo, and in silico approaches. By integrating these methods, the study seeks to uncover the molecular mechanisms underlying the extract's therapeutic effects, particularly its interaction with key protein targets such as COX-2, TNF-α, and VEGF, which are critical in inflammation and wound healing processes.
The findings from this research are expected to provide a scientific foundation for the development of phytopharmaceutical products derived from Lannea coromandelica bark, leveraging its traditional use and potential as a natural therapeutic agent. The study also aims to contribute to the broader understanding of plant-based medicines and their applications in modern healthcare.
This research will employ a multidisciplinary methodology, including extraction and identification of bioactive compounds, biological activity assays, and computational simulations to predict molecular interactions. The results will be analyzed to determine the extract's effectiveness in reducing inflammation and promoting wound healing, with the ultimate goal of supporting the development of evidence-based herbal medicines.

This study aims to determine how Customer Engagement influences Customer Satisfaction and Repurchase Intention in Choosing a Cafe in Makassar City.

The expected benefits of this study are how much influence Customer Engagement and Customer Satisfaction have in increasing Repurchase Intention so that it will create loyalty for each visitor to a Cafe in Makassar City. This study is a causal study. The research method used is a quantitative method with data processing using the Smart PLS version 3 software program.

The population in this study were customers who had visited a Cafe in Makassar in the past year consisting of men and women aged 18-60 years where that age is early adulthood (Kotler and Armstrong, 2010) to be able to feel the quality of service and feel satisfaction when visiting a Cafe in Makassar.

The sampling technique in this study was non-probability sampling, because the population studied was not identified. In this study,the researcher will use viokumvi snowball sampling.

Data collection was carried out by distributing questionnaires via google form to 154 respondents with the characteristics of male and female respondents aged 18-60 years, and had eaten and drunk at the Café in Makassar City at least 2x in the past year.

This study aims to identify the main themes in building the concept of quality in weaving  micro/small/medium enterprises (MSMEs). Using the systematic literature review method and Theo Van Leeuwen's social semiotic theory, this study interprets the meaning of traditional weaving based on the region of origin, interpretation of sign readers, and exchange of meaning through semiotic resources.

Data were collected through in-depth interviews and focus group discussions with weavers and other stakeholders. The results of the study indicate that quality in weaving MSMEs can be interpreted as:

1. Commitment to continual process improvement,
2. Honesty and respect for culture and nature,
3. Reputation,
4. Investment in human resources (HR),Synergy, and Compliance with Standard Operating Procedures (SOP).

The Total Quality Management (TQM) approach is considered less effective for weaving MSMEs due to the simplicity of their governance. However, the quality aspect remains closely related to HR, production, and management. In addition, mastery of information technology by MSME managers can strengthen the meaning of quality in organizational culture, improve performance, and encourage sustainable competitive advantage.

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The era of cultivation technology 4.0 demands a smart agricultural concept to increase efficiency and effectiveness in plant cultivation. One of the approach models used by a number of people researchers is the Drone-Based Vegetation Index, which aims to assess conditions plant health. This research aims to (1) Obtain the best NPK dose in sorghum plants based on drone vegetation index, (2) Obtain the best varieties for sorghum plants based on drone vegetation index, (3) Obtaining interactions between dose and variety that provide growth and production best in sorghum plants based on drone vegetation index, and (4) Obtaining a model drone vegetation index of sorghum plants under NPK fertilization. Research activities are focused on developing a data base Drone-Based Vegetation Index model for sorghum planting in various varieties and doses NPK fertilizer. Data base development is carried out by combining several sorghum varieties at Nitrogen (N), Phosphorus (P) and Potassium (K) fertilizer dosage levels. The study used a split plot design within groups.

This project focuses on producing high-quality polled Bali cattle seeds using modern biotechnology. It integrates processes from upstream to downstream, ensuring comprehensive development. Emphasizing participatory breeding, it engages breeders and stakeholders collaboratively, enhancing genetic improvement, productivity, and sustainability in Bali cattle farming for better economic and environmental outcomes.

This study explores the information and technology requirements for implementing Smart BAFES in goat farming in Polewali Mandar Regency. It focuses on integrating digital tools to optimize waste management, improve productivity, and generate additional income. The initiative aims to empower farmers through innovative solutions, fostering sustainable practices and enhancing economic opportunities in the region.

To fight the COVID-19 pandemic, immunity against SARS-CoV-2 should be achieved not only through natural infection but also by vaccination. The effect of COVID-19 vaccination on previously infected persons is debatable. Methods: A prospective cohort was undergone to collect sera from unvaccinated survivors and vaccinated persons—with and without COVID-19 pre-infection. The sera were analyzed for the anti-receptor binding domain (RBD) titers by ELISA and for the capacity to neutralize the pseudovirus of the Wuhan-Hu-1 strain by luciferase assays. Vaccination with whole-inactivated vaccines does not increase the antibody titer against RBD in individuals with pre-existing immunity. Moreover, the viral neutralization capacity of vaccine serum is relatively low compared with that of the convalescent serum. However, the vaccine may be crucial in preventing the disease among people without an infection history.

The currently available malaria prophylactic drugs remain limited, and the issue of parasite resistance to antimalarial agents has necessitated this study's long-term goal of identifying and producing alternative malaria prophylactic drugs for individuals traveling to malaria-endemic regions. In Indonesia, Papua remains an endemic area where parasite resistance to artemisinin, the first-line antimalarial drug, has been reported. This study specifically aims to develop a formulation that consistently produces a product with nanoparticle characteristics that meet the required criteria and to determine the optimal dosage for malaria prevention in experimental animals or in vitro parasite inhibition. Additionally, toxicity tests will be conducted to assess the safety of the developed nanoparticles.

The methodology includes extracting Carica papaya L. (papaya) or Moringa oleifera (moringa) leaves, followed by nanoparticle formulation using chitosan. The formulated nanoparticles will be characterized and subsequently tested for malaria prophylactic efficacy in experimental animals. The test subjects will receive the drug before being injected with Plasmodium berghei malaria parasites to evaluate the inhibitory effect on parasite growth. Furthermore, an in vitro assay will be performed on Plasmodium falciparum cultures to assess the inhibition of parasite growth, as this species is the primary cause of malaria in humans. To ensure the formulation’s safety, toxicity tests will also be conducted on experimental animals.

This study aims to analyze the influence of individual capability and motivation, leadership, and organizational climate on workgroup effectiveness in efforts to improve the performance of regional government employees in South Sulawesi Province. Using both quantitative and qualitative approaches, this research explores how these factors interact and contribute to enhancing productivity and the quality of public services. The findings are expected to provide strategic recommendations for regional governments in designing policies that support more effective and sustainable human resource development.

This study aims to analyze tax avoidance models and their implications for improving tax governance in Indonesia. By examining various tax avoidance strategies used by corporations and individuals, this research seeks to identify key factors influencing tax compliance and the effectiveness of existing regulations. Through a combination of quantitative and qualitative approaches, the study explores potential policy improvements to enhance transparency, fairness, and efficiency in the taxation system. The findings are expected to provide valuable insights for policymakers in developing more effective tax governance strategies.

This study aims to analyze strategies for increasing the Original Regional Income (PAD) of Pangkep Regency. It explores the key factors influencing regional revenue growth, evaluates existing policies, and identifies potential sectors that can contribute to sustainable economic development. The research employs both qualitative and quantitative approaches to provide comprehensive insights into revenue optimization. The findings are expected to offer recommendations for policymakers to enhance financial management and boost local economic performance.

This study aims to analyze the relationship between profit management and the level of disclosure in manufacturing companies listed on the Indonesian Stock Exchange. It explores how earnings management practices influence the extent and transparency of financial and non-financial disclosures. By employing quantitative methods, the research examines financial reports and disclosure patterns to identify potential correlations. The findings are expected to provide insights into corporate financial behavior, contributing to the development of more transparent and accountable financial reporting standards in Indonesia’s manufacturing sector.

This study examines governance models for detecting fraud in local government procurement of goods and services. It aims to identify effective mechanisms, policies, and frameworks that enhance transparency, accountability, and fraud prevention. By analyzing existing governance structures and best practices, the research seeks to develop recommendations for improving fraud detection and mitigation strategies in public procurement processes.

This study examines the impact of auditor experience, commitment, and competence on audit quality, with reward as a moderating variable. It aims to analyze how these factors contribute to enhancing audit quality and whether rewards strengthen or weaken these relationships. By employing quantitative methods, the research seeks to provide empirical evidence on the role of auditor characteristics and incentives in ensuring high-quality audits. The findings are expected to offer valuable insights for audit firms and regulatory bodies in improving audit practices and professional standards.

This research aims to optimize the utilization of State Property (BMN) to enhance Non-Tax State Revenue (PNBP). By analyzing current management practices, regulatory frameworks, and potential efficiency improvements, the study seeks to identify strategies that maximize the economic value of state assets. The research explores innovative approaches, including asset leasing, strategic partnerships, and digital optimization, to ensure effective and sustainable revenue generation. The findings are expected to provide policy recommendations for improving state asset management and increasing government revenue from non-tax sources.

Identifying and exploring care needs in chronic patients, such as patients with CKD undergoing hemodialysis therapy, patients with Diabetes Mellitus, and patients with Tuberculosis, which are classified as chronic diseases.

This project, funded by the Pew Charitable Trusts, aims to address the challenges of transferring Marine Protected Area (MPA) management responsibilities in Indonesia following the enactment of Act 23/2014. This legislation shifted authority for managing marine waters (0–12 nautical miles from the coastline) from local regency/city governments to provincial governments, replacing the previous framework under Act 32/2004.

The project focuses on facilitating and building capacity for this management transition by developing coordination and collaboration mechanisms between provincial and regency governments, endorsed by the Central Government, and supported by diverse stakeholders. Study areas include MPAs in South Sulawesi, South-East Sulawesi, East Nusa Tenggara, and West Papua. Activities involve field visits to these regions and engagement with the Ministry of Marine Affairs and Fisheries to align strategies.

The ClimateREEFS program focuses on developing socially equitable pathways for climate adaptation in coastal communities that rely on coral reef ecosystems, particularly in Indonesia and the Philippines. The initiative integrates multidisciplinary research to address the vulnerabilities of these communities, especially marginalized groups such as women, who are often disproportionately affected by climate change.

Key components of the program include:

• Social Research: Identifying climate vulnerabilities and designing gender-inclusive adaptation strategies.
• Geospatial Analysis: Using satellite data to detect resilient coral reefs capable of adapting to climate stressors.
• Ecological and Genomic Research: Investigating how genetic and ecological factors contribute to reef adaptability.
• The program aims to enhance local and national policies for sustainable and climate-smart fisheries, providing communities with critical information about reef health and promoting inclusive governance for better adaptation to climate change impacts​

Hasanuddin University is among the key partners in this initiative, collaborating with institutions such as Pattimura University, the University of Leeds, and international NGOs like Rare and the Coral Reef Alliance. The program aims to inform sustainable fisheries management and reef conservation at both local and national levels

For more details, you can visit the ClimateREEFS project page:

The COSMARindo project, supported by the G20 Coral Research & Development Accelerator Platform (CORDAP), focuses on enhancing coral restoration efforts in Indonesia. This initiative emphasizes integrating advanced monitoring and educational approaches to address challenges in coral reef restoration and conservation. It aims to build capacity among local stakeholders, improve techniques for coral restoration, and foster innovative practices to ensure sustainable recovery of coral ecosystems.

Hasanuddin University is one of the key partners in this program, collaborating with other institutions to advance restoration strategies and support community-based conservation efforts. This partnership highlights the university's commitment to coral ecosystem sustainability through multidisciplinary research and education initiatives.

For more details, you can visit the project page on the CORDAP website:

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Hypertension of productive age is one of the main risk factors for global mortality. Uncontrolled hypertension can result in stroke, cognitive decline and dementia. Low compliance with taking antihypertensive drugs will increase the risk of complications. Herbal plants are an alternative natural treatment for hypertension in the form of a functional moringa ginger drink. This study aims to determine the effect of giving Moringa ginger drink on blood pressure and cognitive function in hypertension sufferers of productive age in Bone Regency

This research is a quasi-experimental design intervention with a two-group pre test-post test control group design. The research sample was 60 people consisting of 30 people in the intervention group and 30 people in the control group who were given Moringa ginger drink 5 grams/sachet with 200 ml of water 2 times a day for 30 days.
The results of the study showed that there was a significant reduction in blood pressure in the intervention group compared to the control group. Moringa ginger drink has the potential as a functional food to help reduce blood pressure therapy in people with hypertension

This research aims to analyze the behavior of a specific social group (students) in using money as a transaction tool. By analyzing this educated group, financial inclusion can be more precisely targeted to avoid the illusion of money after the implementation of financial inclusion.

The results of this study will contribute to research that supports learning, academic studies, and the production of analyses that can be published in accredited journals at Hasanuddin University. By selecting students as respondents, this research indirectly provides financial literacy to students before they enter society. Additionally, the findings of this study will serve as input for policymakers in developing financial innovation and technology to determine their target audience.

The thermal behavior of Red Mud on phase transformation with the addition of Phosphate and its ceramic characteristics

Surface Engineering on the R350HT Material by Long Heating-Annealing Cycle Treatment

Our research group focuses on the identification of molecular biomarkers in colorectal cancer (CRC) to enhance early detection, prognosis, and personalized treatment strategies.

By integrating multi-omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, we aim to uncover key molecular signatures associated with tumor progression, metastasis, and therapeutic resistance.

We employ advanced bioinformatics and experimental validation to identify novel biomarkers that can serve as diagnostic, prognostic, or predictive indicators. Our ultimate goal is to bridge the gap between basic research and clinical application, contributing to precision medicine and improving patient outcomes in CRC.

Based on our previous research published in Scientific report entitled " Genetic Risk factors for Colorectal Cancer in Multiethnic Indonesians" https://www.nature.com/articles/s41598-021-88805-4

We want to explore more  about  both genetic and non genetic factors related Colorectal cancer. Our previous  study investigated both genetic and non‐genetic risk factors for colorectal cancer in a diverse, multiethnic Indonesian population. We collected detailed lifestyle and demographic information via questionnaires from 162 colorectal cancer cases and 193 frequency‐matched healthy controls, alongside blood samples for genomic analysis. After quality control, genome-wide association analysis on 84 cases and 89 controls confirmed known risk variants on chromosomes 6 (rs9497673, rs6936461, rs7758229), 10 (rs11255841), and 15 (rs4779584, rs11632715, rs73376930). In addition, a Bayesian polygenic risk model identified 10 single nucleotide polymorphisms that appear to be associated with colorectal cancer risk. These findings implicate genes including SLC22A3, SCG5, GREM1, and STXBP5-AS1 and highlight the combined influence of genetic predisposition and non-genetic (environmental and lifestyle) factors on colorectal cancer risk in Indonesians, paving the way for future research and personalized screening strategies.

With further biobanking and international research collaborations, variants specific to colorectal cancer risk in Indonesians will be identified.

Patients who undergo hemodialysis every week face complex psychosocial challenges. Virtual Reality Spiritual Emotional Freedom Technique is one of the breakthrough independent nursing interventions given to hemodialysis patients. The aim of this research is to determine the effect of VR SEFT therapy on stress conditions and cortisol levels as well as the mental resilience of hemodialysis patients. This research was carried out for one year in two hospitals in Makassar City.

Patients who undergo hemodialysis every week face complex psychosocial challenges. Virtual Reality Spiritual Emotional Freedom Technique is one of the breakthrough independent nursing interventions given to hemodialysis patients. The aim of this research is to determine the effect of VR SEFT therapy on stress conditions and cortisol levels as well as the mental resilience of hemodialysis patients. This research was carried out for one year in two hospitals in Makassar City.

Drone-Based Vegetation Index to Predict Corn Yield Under Varieties of Nitrogen Fertilization and Water Regime" explores the use of drone-derived vegetation indices (VIs) to predict corn yield under varying nitrogen fertilization levels and water management practices. Drones equipped with multispectral sensors capture high-resolution imagery, enabling the measurement of VIs such as NDVI (Normalized Difference Vegetation Index) across large agricultural fields. These indices provide insights into the health and vigor of corn plants, which are influenced by nitrogen availability and water stress. The study evaluates how different nitrogen fertilization rates and water regimes impact plant growth, and how these factors can be monitored and quantified using drone technology. By correlating the drone imagery data with ground-based measurements of corn yield, the study aims to validate the predictive power of vegetation indices in forecasting yield outcomes. This approach allows for real-time monitoring and early identification of potential yield-limiting factors, offering farmers a valuable tool for optimizing fertilizer application and irrigation schedules. Ultimately, the research aims to enhance the sustainability and productivity of corn farming by providing precise, data-driven recommendations that can help improve resource use efficiency under different environmental conditions.

Validating Drone-Based Vegetation Index Model in Predicting Growth and Yield of Cotton" focuses on assessing the effectiveness of using drone technology to monitor cotton crop health and predict its growth and yield. The study employs vegetation indices (VIs) derived from drone imagery, particularly focusing on the Normalized Difference Vegetation Index (NDVI) and other relevant indices, to evaluate their correlation with cotton plant development. Drones equipped with high-resolution cameras and multispectral sensors capture real-time aerial images, offering a detailed, high-frequency overview of the cotton fields. These images allow for precise assessment of various growth parameters, such as plant vigor, leaf area, and overall biomass. By validating the VI models with ground-truth data collected through traditional agronomic practices (e.g., measuring plant height, biomass, and yield), the study examines how effectively these drone-derived indices can predict crop outcomes. The results provide insights into the potential of drones as a tool for precision agriculture, enhancing yield predictions, optimizing irrigation, and improving pest management strategies. This validation process is crucial for establishing reliable, scalable models that farmers can use for better decision-making and resource allocation throughout the growing season, ultimately contributing to higher cotton production efficiency.

Increasing Corn Yield Through Appropriate Nitrogen Fertilization Based on Drone-Based Vegetation Index" focuses on optimizing corn yield by utilizing drone technology to assess crop health and determine the ideal nitrogen fertilization levels. Drones equipped with multispectral sensors capture high-resolution images of corn fields, providing vegetation indices (VIs) like NDVI (Normalized Difference Vegetation Index) to monitor plant vigor and nutrient status. By analyzing these VIs, farmers can identify areas of the field experiencing nitrogen deficiencies or excess, enabling targeted and precise nitrogen application. This approach aims to improve nitrogen use efficiency, reducing waste and minimizing environmental impact while maximizing crop yield. The study validates the relationship between drone-derived VIs and corn yield by comparing the imagery data with traditional ground-based assessments. The real-time monitoring capabilities of drones allow for early detection of nutrient imbalances, making it possible to adjust fertilization practices promptly. This method also helps prevent over-fertilization, which can lead to environmental pollution and increased costs. By leveraging drone-based VIs to fine-tune nitrogen management, farmers can achieve better resource allocation, optimize crop productivity, and enhance sustainability. Ultimately, this approach empowers farmers to make data-driven decisions, improving corn yield while minimizing the negative effects of improper fertilization practices.

As a follow-up to the collaboration between the Faculty of Medicine, Hasanuddin University (FK Unhas) and Asia and African Area Studies (Asafas) Kyoto University, Japan, Kyoto University invited FK Unhas to discuss and present a research plan which is part of the Maritime Asia Pacific Studies (MAPS) funded by the National Institute of Humanity Japan. This research project involves leading institutions in Japan, namely Tokyo University, Kyoto University, National Museum of Ethnology, Tokyo Metropolitan University and Toyo University. The international symposium was held on January 26-28, 2024 at Kyoto University, Japan.

The FK Unhas delegation consisted of Prof. dr. Irawan Yusuf, Ph.D (Professor of FK Unhas) and Dr. dr. Andi Alfian Zainuddin, M.KM (Vice Dean for Partnership, Research and Innovation) and Prof. dr. Muh. Nasrum Massi, Ph.D, Sp.MK (Head of LPPM Unhas) who is also a Professor of FK Unhas.

The FK Unhas team represented by Prof. dr. Irawan Yusuf, Ph.D presented a research design entitled "Syndemic Approach of Diseases Burden in Wallacea Region; Geospatial and Network Analysis". Prof. Irawan said that the Wallacea area consisting of the Sulawesi Island, Maluku Islands and Nusa Tenggara has diversity not only in terms of ecology but also the characteristics of certain diseases that interact with other diseases, social and economic factors and other environmental factors.

FK Unhas is the only delegation from Indonesia along with several international researchers from other countries such as Germany, Palau, Solomon Islands and from Japan itself.

Dr Alfian stated that this event was the initial follow-up to the collaboration that had been signed by both parties in December 2023 and was expected to result in collaborative research, especially in the Asia Pacific area.

The Disease Mapping Research Group in Indonesia is dedicated to studying the distribution and dynamics of diseases across various regions in the country. Utilizing a spatial analysis approach, this research group aims to identify patterns, clusters, and risk factors contributing to the spread of both communicable and non-communicable diseases. By leveraging Geographic Information Systems (GIS) and remote sensing technologies, the group conducts geospatial epidemiological monitoring to understand the dynamics of diseases such as tuberculosis, dengue fever, malaria, and COVID-19.

In addition, the research encompasses epidemiological risk assessment to identify high-risk areas based on population density, environmental conditions, and socioeconomic factors. Through spatial analysis techniques such as hotspot analysis, Moran’s I, the group can detect disease spread patterns and predict potential outbreaks in the future.

Regarding healthcare service planning, the research group plays a crucial role in assessing healthcare facility accessibility and designing optimal resource allocation strategies through spatial modeling and network analysis. Moreover, climate change and disease dynamics are key areas of study to understand the impact of climate variability on vector-borne disease transmission. By utilizing spatial-temporal modeling and machine learning techniques, the group strives to develop early warning systems for public health risk mitigation.

To enhance the effectiveness of its research, the group collaborates with various stakeholders, including the BPJS Kesehatan, the Meteorology, Climatology, and Geophysical Agency (BMKG), academic institutions, and international health organizations. Through the application of advanced spatial epidemiology, this research group aims to support data-driven public health interventions and evidence-based disease control strategies at both national and regional levels.

Description:
STEPMIC is a research group dedicated to advancing knowledge in spatial epidemiology and syndemic theory. By integrating geographic information systems (GIS), spatial analysis, and public health data, STEPMIC investigates the relationships between co-occurring health conditions and their social, environmental, and structural determinants.

Mission:

• Conduct cutting-edge research on spatial patterns of syndemics.
• Utilize GIS and data analytics to explore the intersection of multiple health conditions.
• Provide data-driven insights to inform public health policies.
• Collaborate globally to promote interdisciplinary research on syndemics and health disparities.

Core Values:

• Scientific Excellence:Ensuring rigorous and impactful research.
• Innovation:Applying the latest technologies for spatial and syndemic analysis.
• Collaboration:Building strong networks with academic and community partners.
• Public Impact:Producing research that improves community health outcomes.

Tagline Suggestions:

• Unveiling Patterns, Advancing Public Health
• From Spatial Insights to Health Solutions
• Exploring Spaces, Understanding Syndemics

Geospatial Trends and Patterns

By employing Geographic Information Systems (GIS) and spatial epidemiological modeling, the study has mapped CVD prevalence across Indonesia, revealing significant variations between urban and rural areas. The data indicates that high-density urban centers, such as Jakarta, Surabaya, and Medan, have experienced an increasing trend in CVD cases due to factors like high pollution levels, sedentary lifestyles, and high rates of hypertension and diabetes. Conversely, rural regions exhibit lower reported cases but may face challenges related to underreporting and limited access to healthcare services.

Risk Factor Mapping and Hotspot Identification

The analysis incorporates various risk factors, including air pollution levels, dietary habits, economic disparities, healthcare infrastructure, and climate variables.

Temporal Trends and Predictive Modeling

By integrating spatial-temporal analysis and predictive modeling, the study examines how environmental changes, urbanization, and public health policies have influenced CVD trends from 2018 to 2024. The use of machine learning-based spatial interpolation helps project future disease burdens, supporting the development of targeted preventive measures and public health policies.

Nutritional status contributes to health status in old age and the risk of several other diseases. In old age it is influenced by the cumulative effects of comorbidities, functional status, medical history and economic status. Hormonal, metabolic and other changes can also affect nutritional status in old age, risking abnormalities. The association between CKD and nutritional disorders in the general population has long been recognized, but clinical evidence on nutritional status in relation to old age is scant.

This study is a cohort study conducted for 2 years with elderly subjects who perform outpatient examinations at the DR.Wahidin Sudirohusodo Hospital and UNHAS Education Hospital Makassar will be the subject of this study. Data processing will be carried out at the Department of Public Health Sciences / Family Health Sciences, Faculty of Medicine, Hasanuddin University. This study is targeted for publication in reputable international journals.
This study can provide an overview of the relationship between renal function, nutritional status and antopometric examination in elderly patients as a relevant step in the strategy of preventing the progressiveness of CKD in the elderly. There are still very few studies conducted in the elderly, so the results of this study are expected to be an effort to implement efficient and effective control strategies in CKD management.

Interactions between the kidney and heart have long been recognized and reported in the literature. Since 1998, the National Kidney Foundation (NKF) in the US reported a high incidence of Cardio Vascular Disease (CVD) in patients with Chronic Kidney Disease (CKD). Over the past 2 decades, many studies have been reported on the interactions between these two organs.

There is no specific report that studies the incidence of renal impairment both acute and chronic in patients with acute and chronic heart disease in Makassar. Analyzing the risk factors of renal impairment in patients with heart disease is a prevention and treatment strategy that must be done. This study aims to: Know the risk of acute renal impairment (GgGA) in patients with acute heart disease (1), Know the risk of CKD in patients with chronic heart function decline (2), Know what risk factors are associated with the incidence of GgGA in patients with acute heart disease (3), and know what risk factors are associated with the incidence of CKD in patients with chronic heart function decline (4).

This research will support Hasanuddin University's strategic plan and research roadmap. The leading theme of research to be carried out is on non-infectious disease research. The impact of this research can make this research provide benefits for people's lives, the development of science and the achievement of ren

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Preclinical Study of Paliasa Leaf Extract (Kleinhovia hospita Linn.) as a Protector Against Liver and Kidney Damage Induced by Anti-Tuberculosis Drugs in White Rats (Year II)

Pharmacological Effect of Breadfruit Leaf Ethanol Extract (Artocarpus altilis) on Blood Glucose, Insulin Levels, Lipid Profile, and Pancreatic Histology in Alloxan-Induced Diabetic Rats

Evaluation of Plasma Adiponectin Levels and Insulin Resistance Index in Non-Diabetic Dyslipidemia Patients Using Statin Drugs

The Effect of Black Cumin Oil (Nigella sativa) in Protecting Liver and Kidney Function in Rats Induced with Subchronic Administration of Levofloxacin

Potential Use of Clove Oil (Oleum Caryophylli) for Organ Toxicity Protection due to Long-Term Levofloxacin Administration

Potential Use of Swamp Eel (Monopterus albus) Extract and Vitamin D Emulsion as Supplement for Dyslipidemia Using a High-Fat Diet Animal Model

Wound Healing Effect of Laportea decumana Leaf Extract in a Biocellulose Wound Dressing for Polymicrobial-Infected Wounds in Rats

Diabetes is one of the risk factors that causes COVID-19 infection to become more severe and critical and has a prognostic impact on the course of COVID-19 to a more severe form of infection, even causing death. It turns out that 36% of deaths in COVID-19 patients are related to diabetes. The COVID-19 pandemic has decreased the health of people with diabetes mellitus due to changes in lifestyle, social and economic conditions which also have an impact on quality of life. Several studies on interventions aimed at improving the quality of life of Type 2 DM patients have been carried out, but very few studies have examined appropriate interventions during the current COVID-19 pandemic, which actually has many changes in lifestyle, social and economic conditions that have an impact on the quality of life of people with Type 2 DM. Interventions through family support are one of the focuses of this study as well as physical activity interventions. Likewise, interventions through education that focus on self-efficacy of Type 2 DM patients, related studies are still rarely conducted even though good self-efficacy will improve the quality of life of Type 2 DM patients. This study aims to improve the quality of life through family support, self-efficacy education, physical activity and modules in Type 2 DM patients in the Barombong & Aeng Towa Health Center work area during the Covid-19 pandemic using a quasi-experimental design with a non-randomized pretest posttest with control group (Murti B., 2018). This study used two groups, namely the intervention group and the control group through the stages of data collection, pre-test in the intervention and control groups, intervention in both groups, post-test for the intervention group and control group

The number of elderly people (elderly) is increasing in Indonesia. This has implications for changes in disease patterns in society. One of them is Alzheimer's, the number of which shows an increase. Alzheimer's disease is a type of dementia that causes impaired memory, thinking and behavior. Alzheimer's is associated with anemia, cognitive decline and sleep disorders. To overcome these problems, synthetic drugs are usually used. However, these drugs are accompanied by side effects such as liver damage and heart slowing. One natural ingredient that has many benefits is honey. Based on literature studies, it was found that honey is effective in improving Hb levels, cognitive abilities and sleep quality. This study aims to examine the effectiveness of giving honey on Hb levels, cognitive abilities and sleep quality in the elderly. This study is a quasi-experimental study with a randomized single-blinded design. The study will be conducted in the work area of ​​the health center in Makassar City in January - August 2023. The inclusion criteria are elderly age 60 years and over, do not have a history of serious illness, are recommended by a doctor to participate in the study and are willing to be involved in the study. Exclusion criteria were withdrawal or death and not consuming honey more than 80% of the intervention given. The number of samples needed was 44 people, 22 people each for each treatment group. Hb levels were measured using Easy touch Hb, cognitive ability was measured using the Mini Mental State Examination (MMSE) questionnaire, sleep quality was measured using the Pittsburgh Sleep Quality Index, anthropometry was measured using a seka scale and microtoise, and diet was measured using FFQ-SQ. The intervention group was given honey for 2 months as much as 10 ml/day, while the control group was given education about Alzheimer's for 1 session. Data analysis was carried out using SPSS according to the research objectives. To see the difference in Hb levels, cognitive ability and sleep quality in the intervention and control groups, the independent T test was used, while to see the difference in Hb levels, cognitive ability and sleep quality before and after the intervention, the paired t test was used.