scholarly journals PENERAPAN ALGORITMA K-MEDOIDS CLUSTERING UNTUK PENGELOMPOKKAN PENYEBARAN DIARE DI KOTA MEDAN (STUDI KASUS: KANTOR DINAS KESEHATAN KOTA MEDAN)

Author(s):  
Bambang Riyanto

The health office is in charge of instructing and registering diarrhea sufferers in each region, then the area will be evaluated which areas are most affected by diarrhea. And checking directly into the field revealed that the most basic cause was about the unclean environment such as trenches that were too much garbage, causing floods during the rainy season. The health office also encourages the community to always maintain environmental cleanliness and familiarize people to always wash their hands with soap before eating and after cleaning with simple things like this is expected to help reduce diarrhea sufferers in the city of Medan. K-Medoids Clustering is clustering algorithm which is similar to K-Means. The difference between these two algorithms is the K-Medoids or PAM algorithm uses the object as a representative (medoid) as the center of the cluster for each cluster, while the K-Means uses the mean (mean) as the center of the cluster.Keywords: Diarrhea, Service office, Data mining, K-Medoids Algorithm

2017 ◽  
Vol 7 (1) ◽  
pp. 56-67
Author(s):  
Saniah Sembak ◽  
Norazilawati Abdullah

This study aims to assess the level of knowledge and the implementation of five Integrated Science Process Skills (ISPS) comprising Build hypothesis, control variables, redefinition In operation, interpreting data and experimenting in School Based Assessment (PBS). In addition, this study is to identify the difference between knowledge and implementation of the ISPS gender and school location. The sample consisted of 407 lower secondary science teachers in Melaka and randomly selected from 66 schools. Quantitative data analysis using SPSS version 19. The instrument consists of a questionnaire (Cronbach Alpha 0.884), and Knowledge Test ISPS and implementation checklist ISPS. Descriptive statistics as a whole that the level of knowledge and implementation of ISPS is moderate (Mean = 3.11 and 32.81). MANOVA analysis found no significant difference in terms of the mean scores of Knowledge and implementation between male and female teachers. While the mean score of knowledge Build hypothesis teachers in rural schools, higher and significantly different than the city school teacher. A number of recommendations put forward to improve the knowledge and implementation of the ISPS teachers. This is expected to meet the goals of the Malaysia Education Blueprint 2013-2025 that is to achieve the vision and aspirations of the student’s education system that can meet the needs of the country in the field of science and technology.


Author(s):  
Danielle Da Silva Batista ◽  
Jonathan Willian Zangeski Novais

Com expansão territorial, as cidades tendem a sofrer com as alterações climáticas, estudar essas alterações se apresentam como de extrema necessidade, pois auxiliarão na mitigação desses efeitos para a sociedade. O objetivo deste trabalho foi analisar séries temporais de temperatura média da cidade de Rondonópolis-MT no período de 2004 a 2016, os dados foram coletados pelo Instituto Nacional Meteorológico (INMET), obtidos por meio de seu Banco de Dados Meteorológicos para Ensino e Pesquisa (BDMEP), para essa análise foi utilizado o teste não paramétrico de Mann Kendall. Os resultados apresentaram tendência positiva, porém não significativa, ou seja, houve aumento na temperatura média durante o período estudado. Os meses de janeiro e fevereiro apresentaram o valor de ZMK -0,011 e -0,055 respectivamente, dessa forma o valor de ZMK<0 consequentemente decrescente, isso pode ter relação com o período chuvoso na região. Palavra-chave: Mudança Climática. Microclima. Urbanização. AbstractWith territorial expansion cities tend to suffer from climate change, studying these changes are extremely necessary, as it will help in mitigating these effects to the society. The objective of this work was to analyze the temporal series of the mean temperature of the city of Rondonópolis-MT from 2004 to 2016, the data were collected by the National Meteorological Institute (INMET), obtained through its Meteorological Database for Teaching and Research BDMEP), the non-parametric Mann Kendall test was used for this analysis. The results showed a positive tendency, but not significant, that is, there was an increase in the average temperature during the studied period. The months of January and February presented the value of ZMK -0.011 and -0.055 respectively, thus the value of ZMK <0 consequently decreasing, this may be related to the rainy season in the region. Keywords: Climate Change. Microclimate. Urbanization.


1991 ◽  
Vol 24 (6) ◽  
pp. 149-155 ◽  
Author(s):  
G. T. Orlob ◽  
A. E. Bale ◽  
H. Rajbhandari ◽  
M. Malagoli

As a combined result of land subsidence and sea level rise in the vicinity of the City of Venice there has been a net decrease in the difference between the mean elevations of land and sea of about 30 centimetres over the past century. This has resulted in an increased incidence of flooding in Venice with occasional disastrous consequences, as in November 1966 when storm and tide conditions combined to flood the Piazza San Marco to depths exceeding one metre. Among the solutions proposed to solve the flooding problem is a modular tidal barrier that is designed to close the three major entrances to the shallow lagoon in which Venice is situated. Because the lagoon is highly eutrophic and circulation is driven primarily by the tide in the Adriatic Sea, there is concern that operation of the barriers could exacerbate an already serious problem of pollution. The lagoon currently receives the untreated waste water from Venice with an organic loading equivalent to more than 400,000 persons during the tourist season, industrial discharges from the Port of Marghera, and non-point accretions of nutrients from adjacent agricultural areas. Preliminary investigation of the effects of the proposed barrier scheme using mathematical hydrodynamic and water quality models suggests that prolonged isolation of the lagoon from the sea, if this should become necessary for flood protection, may enhance primary production and induce unfavorable water quality conditions. This paper presents results of this investigation and offers suggestions for further refinement and application of the models to assist in the environmental impact assessment which must be performed prior to barrier construction.


2020 ◽  
Vol 13 (2) ◽  
pp. 877-891
Author(s):  
Ekaterina Y. Zhdanova ◽  
Natalia Y. Chubarova ◽  
Alexei I. Lyapustin

Abstract. We estimated the distribution of aerosol optical thickness (AOT) with a spatial resolution of 1 km over the Moscow megacity using the MAIAC aerosol product based on MODIS satellite data (Lyapustin et al., 2018) for the warm period of the year (May–September, 2001–2017). AERONET (Aerosol Robotic Network)-based validation of satellite estimates near the city centre at Moscow_MSU_MO and over the Moscow suburbs at Zvenigorod revealed that MAIAC AOT at 0.47 µm is in agreement with AERONET AOT though underestimated by 0.05–0.1 for AOT<1 and overestimated for smoke conditions with AOT>1. The MAIAC AOT biases were almost the same for the Moscow_MSU_MO and Zvenigorod AERONET sites, which indicated that the MAIAC algorithm effectively removed the effect of the bright urban surface in the city centre. For the ground-based measurements, the difference between annual median AOT at Moscow_MO_MSU and Zvenigorod (ΔAOT) varied within −0.002 to +0.03, with statistically significant positive bias for most years, and an average ΔAOT was about 0.02. According to the MAIAC dataset, the ΔAOT varied within ±0.01 and was not statistically significant. The ΔAOT started decreasing recently due to intensive urban development of the territory around Zvenigorod and the decrease in pollutant emissions in Moscow, which is mainly caused by the environmental regulations. According to the MAIAC dataset, the most pronounced spatial AOT differences over the territory of Moscow were observed at the 5 % quantile level, where they reached 0.05–0.06 over several locations and could be attributed to the stationary sources of aerosol pollution, for example, large areas of construction sites, aerosol pollution from roads and highways, or agriculture activities. The differences between the maximum and the mean AOT for different quantiles, except the 95 % quantile, within the Moscow region, were about 0.02–0.04, which could be attributed to the local aerosol sources. The application of the MAIAC algorithm over the whole Moscow region has revealed a decreasing AOT trend over the centre of Moscow and an increasing trend over the “New” Moscow territory which experienced an intensive build-up and agricultural development.


2018 ◽  
Vol 6 (7) ◽  
pp. 63
Author(s):  
Murat Çalışoğlu

A teacher should be just and compassionate to be a good teacher. If there is weakness in these two, what a pity for those children who are trained by that teacher! Because one of the biggest diseases of this time is that mercilessness and unjustness are the raising trends. The purpose of this study is to analyze the mercy levels of the classroom teachers in terms of different variables. The study was conducted on 227 classroom teachers, 132 females and 95 males, working in Ağrı Province, Turkey in 2017.In the study, the Compassion Scale (CS) developed by Pommier (2011) and adapted to Turkish by Seher Akdeniz and Mehmet Engin Deniz was applied to the teachers. A statistical program was used to analyze the data. Frequency distribution to determine demographic characteristics, t test to analyze the relationship between compassion level and two independent variables, and ANOVA variant analysis to analyze the relationship between compassion level and variables more than two were used in the analyses of the data. The difference between the variables was interpreted on the basis of p0.05 significance level.According to the findings, it was determined that there is a significant difference between the level of compassion of the teachers and the gender, the settlement they work in, and their term of office. It was determined that the mean scores of male teachers were higher than the female teachers in the dimensions of indifference, disconnection and intercourse in the sub-dimensions of compassion level, the mean scores of the teachers working in the village in the sub-dimension of being aware of the sharing is higher than the teachers working in the city, and the mean scores of the teachers with 6-10 years of period of office is higher than those with 16 years of period of office in the sub-dimension of being aware of the sharing and the mean scores of the teachers with 5 years and below of period of office is higher than those with 6-10 years of period of office in the sub-dimension of disengagement.It can be recommended that increasing the compassion levels of the teachers in social and school life will have a positive effect on their relationships with students. It is also of higher importance to analyze other variables which are thought to positively affect compassion.


2021 ◽  
Vol 03 (02) ◽  
pp. 87-91
Author(s):  
Sura I. Mohammed ALI ◽  
Rafid Habib BUTI

Disease detection is one of the applications where data mining techniques achieved more accurate and useful results. The healthcare sector collects massive volumes of healthcare data that are not mine to discover hidden data for better decision-making, a field of data mining introduces more efficiently and effectively to predict different kinds of diseases. Clustering medical data into small, meaningful chunks will help in pattern discovery by allowing for the retrieval of a large number of specific data points. The difference in using clustering the medical data from traditional data mining techniques is in extracting many features of the dataset that have been split into small segments to enable us to discover patterns by adding the data structure. By using clustering techniques, discovered overall correlations between data attributes. Selected data processing makes the mining process more efficient. The processed disease data are clustered using the K-means algorithm with the K values. Its ease of use and speed, which enable it to perform on a massive dataset. This paper highlights the theoretical side in using the K-Means Clustering algorithm in the context of data mining of disease detection and allowing for reliable and effective diagnosis.


Author(s):  
V. I. Oreshkov ◽  

The article discusses the problem of choosing the number of clusters in popular k-means clustering algorithm. It is noted that an unsuccessful choice of this hyper parameter can lead to the creation of a cluster structure the meaningful interpretation of which in the process of data mining leads to false conclusions and making incorrect management decisions based on them. The aim of the work is to develop a method for automatic selection of the number of clusters for k-means algorithm. The article provides an analytical review of the known methods for determining the number of clusters, their advantages and disadvantages being noted. The proposed approach is based on the elbow method, which uses the entropy of cluster solutions instead of the mean squares of clustering error. A practical example shows that the use of cluster solution entropy makes it possible to choose the number of clusters even in the case when the approach based on clustering error turns out to be untenable.


2019 ◽  
Vol 50 (4) ◽  
pp. 562-578 ◽  
Author(s):  
Dawna Duff

Purpose Vocabulary intervention can improve comprehension of texts containing taught words, but it is unclear if all middle school readers get this benefit. This study tests 2 hypotheses about variables that predict response to vocabulary treatment on text comprehension: gains in vocabulary knowledge due to treatment and pretreatment reading comprehension scores. Method Students in Grade 6 ( N = 23) completed a 5-session intervention based on robust vocabulary instruction (RVI). Knowledge of the semantics of taught words was measured pre- and posttreatment. Participants then read 2 matched texts, 1 containing taught words (treated) and 1 not (untreated). Treated texts and taught word lists were counterbalanced across participants. The difference between text comprehension scores in treated and untreated conditions was taken as a measure of the effect of RVI on text comprehension. Results RVI resulted in significant gains in knowledge of taught words ( d RM = 2.26) and text comprehension ( d RM = 0.31). The extent of gains in vocabulary knowledge after vocabulary treatment did not predict the effect of RVI on comprehension of texts. However, untreated reading comprehension scores moderated the effect of the vocabulary treatment on text comprehension: Lower reading comprehension was associated with greater gains in text comprehension. Readers with comprehension scores below the mean experienced large gains in comprehension, but those with average/above average reading comprehension scores did not. Conclusion Vocabulary instruction had a larger effect on text comprehension for readers in Grade 6 who had lower untreated reading comprehension scores. In contrast, the amount that children learned about taught vocabulary did not predict the effect of vocabulary instruction on text comprehension. This has implications for the identification of 6th-grade students who would benefit from classroom instruction or clinical intervention targeting vocabulary knowledge.


2020 ◽  
Vol 33 (1) ◽  
pp. 41-47
Author(s):  
Mohsena Akhter ◽  
Ishrat Bhuiyan ◽  
Zulfiqer Hossain Khan ◽  
Mahfuza Akhter ◽  
Gulam Kazem Ali Ahmad ◽  
...  

Background: Scabies is one of the most common skin diseases in our country. It is caused by the mite Sarcoptes scabiei var hominis, which is an ecto-parasite infesting the epidermis. Scabies is highly contagious. Prevalence is high in congested or densely populated areas. Individuals with close contact with an affected person should be treated with scabicidal which is available in both oral and topical formulations. The only oral but highly effective scabicidal known to date is Ivermectin. Amongst topical preparations, Permethrin 5 % cream is the treatment of choice. Objective: To evaluate the efficacy & safety of oral Ivermectin compared to topical Permethrin in the treatment of scabies. Methodology: This prospective, non-randomized study was conducted at the out-patient department of Dermatology and Venereology of Shaheed Suhrawardy Medical College & Hospital over a period of 6 months, from August 2016 to January 2017. The study population consisted of one hundred patients having scabies, enrolled according to inclusion criteria. They were divided into two groups. group A was subjected to oral Ivermectin and the group B to Permethrin 5% cream. Patients were followed up on day 7 and 14 for assessment of efficacy and safety. Result: The mean scoring with SD in group A (Ivermectin) and group B (Permethrin) were 8.26 ± 2.22 and 7.59 ± 2.01 respectively at the time of observation. The difference between the mean score of the two group is not significant (p=0.117) the mean scoring with SD in group A and group B were 4.54 ± 2.05 and 1.64 ± 1.84 respectively at 7thdays. The difference between the mean score of the two group is significant (p<0.001). The mean scoring with SD in group A and group B were 2.68± 2.35 and .36± 1.10 respectively at 14th day difference between the mean score of the group is significant (p<0.001). Conclusion: Topical application of permethrin 5% cream is more effective and safer than oral Ivermectin in the treatment of scabies. TAJ 2020; 33(1): 41-47


2020 ◽  
Vol 3 (1) ◽  
pp. ACCEPTED
Author(s):  
Rho-Jeong Rae

This study investigated the boreal digging frog, Kaloula borealis, to determine the egg hatching period and whether the hatching period is affected by incubation temperature. The results of this study showed that all the eggs hatched within 48 h after spawning, with 28.1% (±10.8, n=52) hatching within 24 h and 99.9% (±0.23, n=49) within 48 h after spawning. A significant difference was noted in the mean hatching proportion of tadpoles at different water temperatures. The mean hatching rates between 15 and 24 h after spawning was higher at a water temperature of 21.1 (±0.2) °C than at 24.1 (±0.2) °C. These results suggest that incubation temperature affected the early life stages of the boreal digging frog, since they spawn in ponds or puddles that form during the rainy season.


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