scholarly journals Implementasi Metode K-Medoids Clustering Dalam Pengelompokan Data Penyakit Alergi Pada Anak

2021 ◽  
Vol 6 (1) ◽  
pp. 130
Author(s):  
Haryati Ningrum ◽  
Eka Irawan ◽  
Muhammad Ridwan Lubis
Keyword(s):  
Immune System ◽  
Allergic Diseases ◽  
Health Department ◽  
Clustering Method ◽  
The Public ◽  
National Statistics ◽  
Abnormal Response ◽  
Data Grouping ◽  
Cluster 2 ◽  
High Cluster

Allergies are an abnormal response from the immune system. People who experience allergies have an immune system that reacts to a substance that is usually harmless in the environment. There are two limitations in this study, namely, seafood allergy and air allergy. In this study, the data used were sourced from the National Statistics Agency in 2011-2019. This study uses data mining techniques in data processing with the k-medoids clustering method. The k-medoids method is a clustering method that functions to split the dataset into several groups. The advantages of this method are able to overcome the weaknesses of the k-means method which is sensitive to outliers. Another advantage of this method is that the results of the clustering process do not depend on the order in which the dataset is entered. This method can be applied to data on the percentage of children affected by allergies by province, so that it can be seen the grouping of provinces based on this data. From this grouping data obtained 3 clusters namely low cluster (2 provinces), medium cluster (30 provinces) and high cluster (2 provinces) from the percentage of allergy immunization under five in each province. It is hoped that this research can provide information to the health department, especially the public health center regarding data grouping of Allergic Diseases in children in Indonesia which has an impact on equity in giving anti-allergic immunization to children in Indonesia

scholarly journals Analisis K-Medoids Clustering Dalam Pengelompokkan Data Imunisasi Campak Balita di Indonesia

2019 ◽  
Vol 1 ◽  
pp. 687
Author(s):  
Siti Sundari ◽  
Irfan Sudahri Damanik ◽  
Agus Perdana Windarto ◽  
Heru Satria Tambunan ◽  
Jalaluddin Jalaluddin ◽  
...  
Keyword(s):  
Data Processing ◽  
Virus Transmission ◽  
Clustering Method ◽  
Immunization Program ◽  
Data Grouping ◽  
Cluster 2 ◽  
High Cluster ◽  
Central Statistics

Measles is a contagious infections disease that attacks children caused by a virus. Transmission of measles from people through coughing and sneezing. Measles causes disability and death, so further threatment is needed. Measles immunization program that can inhibit the development of measles is one of the efforts in eradicating the disease. In this study the data used were sourced from the Central Statistics Agency National in 2013-2017. This study uses datamining techniques in data processing with K-Medoids algorithm. The K-Medoids method is a clustering method that functions to break datasets into groups. The advantages of this method are the ability to overcome the weaknesses of the K-Means method which is sensitive to outliers. Another advantage of this algorithm is that the results of the clustering process do not depend on the entry sequence of the dataset. The k-medoids clustering method can be applied to the data on the percentage of measles immunization can be identified based on province, so that the grouping of provinces based on these data. From the data grouping three clusters are obtained: low cluster (2 provinces), medium cluster (30 provinces) and high cluster (2 provinces) with the percentage of measles immunization in each of these provinces from data grouping in percentage. It is expected this research can provide information to the govermant about the data on grouping measles immunization for toddlers in Indonesia which has an impact on the distribution of immunization against measles toddlers in Indonesia.

scholarly journals Algoritma K-Medoids untuk Mengelompokkan Desa yang Memiliki Fasilitas Sekolah di Indonesia

2019 ◽  
Vol 1 ◽  
pp. 520
Author(s):  
Ivana Indrini Putri Damanik ◽  
Solikhun Solikhun ◽  
Ilham Syahputra Saragih ◽  
Iin Parlina ◽  
Dedi Suhendro ◽  
...  
Keyword(s):  
School Facilities ◽  
Education Level ◽  
Clustering Method ◽  
Learning To Read ◽  
National Statistics ◽  
Level Data ◽  
School Laboratory ◽  
The Government ◽  
Representative Points ◽  
High Cluster

School facilities are learning facilities and infrastructure. Study rooms, study rooms, sports halls, prayer rooms, arts rooms and sports equipment. Means of learning to read textbooks, reading books, school laboratory tools and facilities and various other learning media. This study discusses the application of the K-Medoids method in grouping villages that have school facilities based on the province and education level. Data sources used from the National Statistics Agency (BPS). This study uses data mining techniques in data processing using the k-medoids clustering method. The k-medoid method is part of a fairly efficient grouping of partitions in small datasets and looks for the most representative points. The advantages of this method can overcome the shortcomings of the k-means method that is sensitive to outliers. Another advantage of this method is that the results of the grouping process do not match the entry sequence of the dataset. Grouping k-medoid method can be applied to the percentage of facilities based on the province, so that provincial grouping can be determined based on the data. From the grouping data, 3 clusters were obtained, namely a low cluster of 15 provinces, a moderate cluster of 16 provinces and a high cluster of 3 provinces from the percentage of school facilities in each province. It is hoped that this research can provide information to the government about data collection of school facilities in Indonesia which discusses examiners in the provision of school facilities in Indonesia.

scholarly journals Smartphone Price Grouping by Specifications using K-Means Clustering Method

2021 ◽  
Vol 13 (2) ◽  
pp. 64-74
Author(s):  
Ahmad Agung Zefi Syahputra ◽  
Annisa Dwi Atika ◽  
Muhammad Adam Aslamsyah ◽  
Meida Cahyo Untoro ◽  
Winda Yulita
Keyword(s):  
College Students ◽  
High School ◽  
Data Mining ◽  
Confusion Matrix ◽  
Data Mining Algorithm ◽  
Clustering Method ◽  
Mining Algorithm ◽  
Data Grouping ◽  
The Right ◽  
Cluster 2

The use of smartphones in the industrial era 4.0 had become more frequent and widespread in various circles of Indonesian society. In addition, the COVID-19 pandemic that had not end yet also made high school and college students obliged to carry out online learning. This research aimed to cluster the price from smartphones using the specifications of the smartphone. K-Means Clustering was used as a method in this research. This algorithm was a data mining algorithm with unsupervised learning as data grouping and could group the price of a smartphone into several clusters based on the similarity of the characteristics by one data with other data, which is memory_size and best_price. The results of this research indicated that the right clustering of smartphone prices was within 3 different clusters, which was cluster 0 has centroid of Rp2.000.000,00, cluster 1 has centroid of Rp18.000.000,00, and cluster 2 has centroid of Rp9.000.000,00. The results of the evaluation used a confusion matrix, summary of prediction result, indicated that the clustering process had 100% of accuracy that could be seen on the table which showed the results of clustering. The conclusion from this research was that K-Means Clustering could form clusters in determining the price of a smartphone in relation to the specifications used as the attribute determining the price cluster for a smartphone.

scholarly journals SURVEI PERILAKU MASYARAKAT TERHADAP POPULASI TUNGAU DEBU RUMAH DI KELURAHAN BITUNG KARANGRIA KECAMATAN TUMINTING KOTA MANADO

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Greis Emilia Tawurisi
Keyword(s):  
House Dust ◽  
House Dust Mite ◽  
Health Workers ◽  
Allergic Diseases ◽  
Health Department ◽  
House Dust Mites ◽  
Local Health ◽  
Dust Mites ◽  
The Public ◽  
Dust Mite

Abstract: House dust mites (HDM) is very small creatures and can not visible with the unaided eyes, found in the house dust and can causing allergic diseases. The existence of dust mites can not be separated from people's behavior about the house dust mite populations.The purpose of research is to know of the public behavior about the population House Dust Mites in the Bitung Karangria Village District of Tuminting Manado.The results obtained 34,86% are show that the cognition of the mites in Bitung Karangria Village is still deficient, and for attitude 97.83% are show that people have a good attitude, and for the action are obtained 82,44%, this show the attitude of the community is good.The cognition about house dust mitesis still less, and for the attitudes and actions of society is good. It takes counseling from health workers especially local health department about the house dust mite. Keywords: behavior of the public, House Dust Mites  Abstrak: Tungau debu rumah (TDR) adalah mahluk yang sangat kecil dan  tidak dapat dilihat dengan mata telanjang, ditemukan pada debu rumah dan dapat menyebabkan penyakit alergi. Keberadaan tungau  debu rumah tidak terlepas dari perilaku masyarakat terhadap populasi tungau debu rumah tersebut. Tujuan penelitian adalah Mengetahui perilaku masyarakat terhadap populasi Tungau Debu Rumah di kelurahan Bitung karangria Kecamatan Tuminting kota Manado. Hasil yang didapatkan adalah 34,86% menunjukan pengetahuan masyarakat Kelurahan Bitungkarangria terhadap tungau debu rumah masi kurang, dan sikap didapatkan hasil 97,83% menunjukan bahwa sikap masyarakat sudah baik, serta untuk tindakan didapatkan hasil 82,44% ini menunjukan sikap masyarakat sudah baik. Pengetahuan  masyarakat mengenai tungau debu rumah masi kurang, dan untuk sikap serta tindakan masyarakat sudah baik. Dibutuhkan penyuluhan dari petugas kesehatan kususnya dinas kesehatan setempat mengenai tungau debu rumah. Kata kunci: perilaku masyarakat, Tungau Debu Rumah

Dynamic Comparison of the Fruit Sector and the Pollution Associated to Agriculture

2018 ◽  
Vol 69 (10) ◽  
pp. 2776-2780
Author(s):  
Valentina Constanta Tudor ◽  
Ionela Mituko Vlad ◽  
Diana Zamfir Vasca
Keyword(s):  
Agricultural Production ◽  
Descriptive Statistics ◽  
The Public ◽  
Perennial Plants ◽  
National Statistics ◽  
The Impact

Pollution in agriculture plays a major role. One of the sector affected by this phenomenon is the perennial plants, such as fruits sector. This sector is an important part of agricultural production in Romania, mainly because of the areas that have been dedicated; that is why the sector should be reconsidered because it could be one of the engines of the agriculture. This have to led to important efforts and increased attention in managing the opportunities offered by the development of the associations and producer groups involved. The present paper aims to address certain aspects of the national, macro-regional and European aspects of these fruits productions and the impact of the degree of pollution in agriculture. In this respect, data derived from the public databases dedicated to this field, namely Eurostat, the National Statistics Institute, DG Agriculture / FADN database and the Ministry of Agriculture, were used. The methods used to analyze and interpret the results are descriptive statistics, dynamics and comparisons between target areas and indicators. The results highlighted in the first part of the paper the Romania�s position upon the European average in what concern the fruit sector but also upon a competing country on the fruit market, Poland, which is considered to have a European top position.

scholarly journals Programming Native CRISPR Arrays for the Generation of Targeted Immunity

mBio ◽  
2016 ◽  
Vol 7 (3) ◽  
Author(s):  
Alexander P. Hynes ◽  
Simon J. Labrie ◽  
Sylvain Moineau
Keyword(s):  
Immune System ◽  
Nucleic Acid ◽  
Genome Editing ◽  
Dna Sequence ◽  
Adaptive Immune System ◽  
Natural Process ◽  
The Public ◽  
Adaptive Immune ◽  
Public Consciousness ◽  
Industrial Settings

ABSTRACT The adaptive immune system of prokaryotes, called CRISPR-Cas (clustered regularly interspaced short palindromic repeats and CRISPR-associated genes), results in specific cleavage of invading nucleic acid sequences recognized by the cell’s “memory” of past encounters. Here, we exploited the properties of native CRISPR-Cas systems to program the natural “memorization” process, efficiently generating immunity not only to a bacteriophage or plasmid but to any specifically chosen DNA sequence. IMPORTANCE CRISPR-Cas systems have entered the public consciousness as genome editing tools due to their readily programmable nature. In industrial settings, natural CRISPR-Cas immunity is already exploited to generate strains resistant to potentially disruptive viruses. However, the natural process by which bacteria acquire new target specificities (adaptation) is difficult to study and manipulate. The target against which immunity is conferred is selected stochastically. By biasing the immunization process, we offer a means to generate customized immunity, as well as provide a new tool to study adaptation.

scholarly journals Practical implications of naloxone knowledge among suburban people who use opioids

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Kristin E. Schneider ◽  
Glenna J. Urquhart ◽  
Saba Rouhani ◽  
Ju Nyeong Park ◽  
Miles Morris ◽  
...  
Keyword(s):  
Public Health ◽  
Health Department ◽  
Washington Dc ◽  
Multiple Sources ◽  
Public Health Response ◽  
Baltimore City ◽  
The Public ◽  
Health Response ◽  
The Usa ◽  
Practical Implications

Abstract Background Naloxone distribution programs have been a cornerstone of the public health response to the overdose crisis in the USA. Yet people who use opioids (PWUO) continue to face a number of barriers accessing naloxone, including not knowing where it is available. Methods We used data from 173 PWUO from Anne Arundel County, Maryland, which is located between Baltimore City and Washington, DC. We assessed the prevalence of recently (past 6 months) receiving naloxone and currently having naloxone, the type(s) of the naloxone kits received, and the perceived ease/difficultly of accessing naloxone. We also assessed participants knowledge of where naloxone was available in the community. Results One third (35.7%) of participants had recently received naloxone. Most who had received naloxone received two doses (72.1%), nasal naloxone (86.9%), and education about naloxone use (72.1%). Most currently had naloxone in their possession (either on their person or at home; 78.7%). One third (34.4%) believed naloxone was difficult to obtain in their community. Only half (56.7%) knew of multiple locations where they could get naloxone. The health department was the most commonly identified naloxone source (58.0%). Identifying multiple sources of naloxone was associated with being more likely to perceive that naloxone is easy to access. Discussion Our results suggest that additional public health efforts are needed to make PWUO aware of the range of sources of naloxone in their communities in order to ensure easy and continued naloxone access to PWUO.

scholarly journals Anosmia pada COVID-19: Studi Neurobiologi

2020 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Dwi Martha Nur Aditya
Keyword(s):  
Immune System ◽  
Food Intake ◽  
Good Condition ◽  
Clinical Manifestations ◽  
Educational Material ◽  
Psychological Problems ◽  
The Public ◽  
Nutritious Food

Abstract— A few months ago there was Covid-19 virus outbreak by SARS-CoV-19 virus which has clinical manifestations, one of which is Anosmia. Anosmia cause patient was experienced smell’s decreasing which causes psychological problems that loss of comfort and appetite. This condition may also cause imunity’s decreasing in patient. Anosmia in Covid-19 patients could be temporary, if the body's immune system is maintained in good condition, one of the factors is continuing provide healthy and nutritious food intake, even though in tasteless conditions. Therefore, this article can be used as an educational material for the public, how to understand the neurobiological conditions of anosmia in Covid-19, further to avoid depressed due to loss of taste which could be lead to loss appetite. Keywords: Covid-19, Anosmia, Neurobiology Abstrak— Beberapa bulan lalu telah terjadi penyebaran wabah virus Covid-19 oleh SARS-CoV-19 virus yang memiliki manifestasi klinis salah satunya adalah Anosmia. Kondisi anosmia menyebabkan kondisi pasien mengalami penurunan daya penciuman yang menyebabkan gangguan psikologis berupa kehilangan rasa nyaman dan kehilangan napsu makan. Kondisi ini sudah barang tentu akan menyebabkan penurunan daya imunitas pasien. Anosmia pada pasien Covid-19 bersifat sementara, apabila daya imunitas tubuh tetap dijaga dalam keadaan baik, salah satu faktornya adalah tetap memberikan asupan makan sehat dan bergizi, meskipun dalam kondisi tasteless. Oleh karena itu, dengan adanya artikel ini dapat digunakan sebagai bahan edukasi kepada khalayak, bagaimana memahami kondisi anosmia pada Covid-19 secara neurobiologi, sehingga dapat menghindarkan rasa depresi karena kehilangan rasa akan makaman yang dapat menyebabkan turunnya napsu makan. Kata kunci: Covid-19, Anosmia, Neurobiologi

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