This study is aimed at building and analysing a SIRS model and also simulating the model to predict the number of dengue fever cases. Methods applied for this model are building the SIRS model by modifying the SIR model, analysing the SIRS model using the Lyapunov function to prove three theorems (the existence, the free disease, and the endemic status of dengue fever), and simulating the SIRS model using the number of dengue case data in South Sulawesi by Maple. The results obtained are the SIRS model of dengue fever transmission, stability analysis, global stability, and the value of the basic reproduction number R 0 . The simulation done for the dengue fever case in South Sulawesi found the basic reproduction number R 0 = 26.47609 > 1 ; it means that South Sulawesi is in the endemic stage of transmission for dengue fever disease. Simulation of the SIRS model for dengue fever can predict the number of dengue cases in South Sulawesi that could be a recommendation for the government in an effort to prevent the number of dengue fever cases.
This study aims to determine the quality of the Dayak cultural tourism area in the village of Pampang village in East Kalimantan and determine the contribution of the Dayak cultural tourism area to the level of income of the Dayak tribe community in the village of Pampang, East Kalimantan. The population in this study were people who work in the Dayak cultural tourism area in the village of Pampang, East Kalimantan as many as 30 people. The number of samples taken was 30 people using total sampling. Retrieval of data in this study using observation techniques, questionnaires, and documentation. Then analyzed using qualitative and quantitative analysis techniques (mix methods). Research data is displayed in the form of frequency and percentage tables. The results showed that the quality of the Dayak cultural tourism area in the village of Pampang was included in the "good" category of 61.1%. With the contribution of the Dayak Kenyah community in the village of Pampang to the level of income, the highest number of contributions obtained by respondents was 85.71% and the lowest number of contributions obtained by respondents was 15.62%.
Indonesia is an archipelago with a tropical climate with very high rainfall. In the rainy season floods occur which cause losses, namely loss of life and property. This condition is a routine disaster that always threatens people's lives. Therefore, research needs to be done to identify flood-prone areas and flood-causing factors in the Maros River Basin. The method used to determine flood-prone areas is used by a combination of remote sensing, terrestrial, secondary data and interviews using the criteria of Sutikno et al (1995) with development. The variables used topography (flat and sloping), soil texture, drainage, inundation time and flood return period. The analysis shows that in the Maros watershed there are 3 classes that are prone to flooding namely not prone, prone and very prone. Most are vulnerable because more than 50 percent of the area is at a vulnerable and very vulnerable level. The class is very prone to spread from downstream to the middle of the watershed, covering the southern sub-districts of Maros Baru, Marusu, Turikale, southern Bantimurung, western Simbang, northern Mandai and northern Tanralili. The contributing factors are high rainfall, flat and sloping topography, fine soil texture in the downstream river, poor drainage due to poor waste management, land use dominated by ponds and paddy fields and high flood return periods.
Objectives: The aim of this study is to obtain SIRI model for dengue fever (DHF) transmission, conduct analysis, and simulation of SIRI model in disease-free and endemic and also to predict the number of DHF cases. Methods/statistical analysis: Dengue fever is caused by a virus carried by the Aedes aegypti and Aedes albopictus mosquitoes, the SIRI model is a modification of the SIR model. Analysis of the SIRI model use the Lyapunov function method, then the data used in the simulation are assuming to show two possible dengue status are disease free and endemic status. The simulation also using the number of dengue case in Makassar city for showing the status of dengue fever transmission in Makassar city. Simulation models using Maple software are to predict the number of dengue cases in the following months. Findings: The results of this study are the SIRI model of the transmission of dengue fever with variables that have recovered can be re-infected with dengue fever, analysis of the SIRI model of dengue transmission provides information that the equation system in the SIRI model which is asymptotically stable, it means that dengue cases always exist at a certain time and certain region. The simulation results of the SIRI model in this study illustrate the number of dengue cases in the following months. While the first simulation found the basic reproduction number is R 0 = 0.0366 ≤ 1 this means that dengue transmission is at an alarming stage, but the second simulation finds the basic reproduction number R 0 = 31.2733 > 1, this means that, a person infected with dengue causes eight individuals will be infected with dengue fever, so that it is in the endemic stage, and the last simulation using data of the number of dengue case in Makassar city found = 1, that means, Makassar city is a free disease case for dengue fever transmission. Application/ improvements: SIRI model for DHF transmission is a mathematical health application. Model analysis guarantees existence, disease-free Article Type: Article
This research is included in a qualitative research that aims to determine public perceptions about the structure of macrocosm and symbol of the construction of a Bugis traditional house in Manurungnge village Tanete Riattang sub-district based on cultural geography. Macrocosm is an understanding of Bugis Bone society's trust in the universe that implemented into a form of dwelling. This understanding has been around for decades. After conducting research, it can be concluded that with the times, the understanding of this macrocosm has begun to fade among the people, the structure of the macrocosm is very closely related to the symbol of Bugis traditional house construction, because every time when building a traditional house, the public always includes the symbol of construction on the Bugis traditional house
Quasi-experimental research design with pretest-posttest control group design, involving two groups: experimental group was taught learning of strategies PAILKEM in Outdoors Study methods and control groups were taught with conventional learning. This study aims to determine, 1) how the result of students learn geography of the control group, 2) how the results of students learn geography of the experimental group, 3) whether there are differences in geography student learning outcomes between the two groups, 4) whether learning strategies PAILKEM in Outdoor Study methods effective against learning geography results in students XI IPS SMA Negeri 1 Tanete Rilau. Sampling is done with Purposive Sampling. Data collection was carried out through the provision of pre-test and post-test. Data analyzed descriptive and inferential. The results showed that: 1) learning outcome of groups control score average learning outcomes 73.17 and there are 50 percent of the number of learners who achieve the value criterion exhaustiveness, 2) learning outcome of experiment groups average score earned 81.50 93.33 percent and there were a number of learners who achieve the value exhaustiveness minimum criteria or has been completed, 3) there is a significant difference between the results of the study of geography is taught by learning strategies PAILKEM in Outdoor Study method and a control group who were taught with the conventional learning , 4) learning strategies PAILKEM in the Outdoor Study method is effective in improving outcomes of learning geography grade XI IPS SMA Negeri 1 Tanete Rilau, Barru Regency
The objectives of this research are to obtain a mathematical model for the spread of typhoid by including the factor of flies and food as variables in the model; analyze and simulation models that will provide predictions and status of typhoid. The data used are secondary data on the number of Typhus cases in Makassar City, analysis of the model is done using the lyapunov function method, while the simulation uses the MatLab model. The results of this study are the SEIR model for typhoid spread, then the simulation results of the model using secondary data on the number of typhoid cases in the city of Makassar provide the number of typhus sufferers and the status of typhoid in Makassar city that is disease free or endemic. Prediction of the number of typhoid cases which can be a reference in the early steps of typhoid cases in Makassar.
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