PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurul Rofiqo ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Population Level ◽  
Research Data ◽  
Health Complaints ◽  
Public Health Services ◽  
National Statistics ◽  
Central Java ◽  
Indonesian Population ◽  
The Government

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents

scholarly journals Penerapan Clustering dalam Mengelompokkan Jumlah Kunjungan Wisatawan Mancanegara Dengan Metode K-Means

2019 ◽  
Vol 1 ◽  
pp. 462
Author(s):  
Edy Satria ◽  
Heru Satria Tambunan ◽  
Ilham Syahputra Saragih ◽  
Irfan Sudahri Damanik ◽  
Fany Than Ervina Sitanggang
Keyword(s):  
Data Mining ◽  
Research Data ◽  
Tourist Attractions ◽  
Data Mining Techniques ◽  
Indonesian Government ◽  
National Statistics ◽  
Foreign Tourist ◽  
Tourism Sector ◽  
The Future ◽  
The Government

The Indonesian tourism sector currently contributes approximately 4% of the total economy. In 2019, the Indonesian Government wants to increase this figure to double to 8% of PDB (Produk Domestik Bruto), a target that implies that within the next 4 years, the number of visitors needs to be doubled to approximately 20 million tourists. This study discusses the Application of Clustering in Grouping the Number of Foreign Tourist Visits by Nationality and Month of Arrival by the K-Means Method. The source of this research data was collected based on data on the number of foreign tourist visits produced by the National Statistics Agency. K-Means clustering is one of the data mining techniques that gives a description of an item's cluster. The purpose of this study is to classify the number of foreign tourists in Indonesia. The results of this study are grouping the number of foreign tourist visits grouped by two clusters (high and low), high clusters of 4 countries and low clusters of 87 countries. Countries that are included in the lower clusters can be used for the Government of Indonesia in terms of improving existing facilities in tourist attractions so that visiting tourists will increase in the future.

scholarly journals Penerapan Data Mining Dalam Clustering Produksi Daging Sapi Di Indonesia Menggunakan Algoritma K-Means

2019 ◽  
Vol 1 (2) ◽  
pp. 37-44
Author(s):  
Henri Pandiangan
Keyword(s):  
Data Mining ◽  
Animal Protein ◽  
Beef Production ◽  
High Group ◽  
High Animal ◽  
Middle Group ◽  
National Statistics ◽  
Group 3 ◽  
Data Source ◽  
The Government

Cows are animals that are found in Indonesia, cattle provide many benefits for humans ranging from milk that is rich in nutrients to meat as a source of high animal protein for humans. Beef production in Indonesia is not sufficient to meet domestic needs, so the government needs to ask for other meat and most still need beef to meet the daily protein needs of the community. The discussion of this study about the Application of Data Mining in the Cluster of Beef Production in Indonesia Using the K-Means Algorithm. The data source of this study was collected based on documents about beef production produced by the National Statistics Agency. The data used in this study are data from 2009-2016 consisting of 34 provinces. This study clustered in 3 groups, namely medium and low. The results of this study were 9 provinces included in the high group, 3 provinces included in the middle group and 22 provinces entered the low group.

scholarly journals Membangun Komunikasi dalam Sinergi Pelayanan Kesehatan di Kabupaten Bandung

2020 ◽  
Vol 14 (1) ◽  
pp. 17-28
Author(s):  
Ditha Prasanti ◽  
Ikhsan Fuady ◽  
Sri Seti Indriani
Keyword(s):  
Public Health ◽  
Health Service ◽  
Health Services ◽  
Active Role ◽  
Communication Process ◽  
Public Health Services ◽  
District Health ◽  
The Government ◽  
The One ◽  
The Village

The "one data" policy driven by the government through the Ministry of Health is believed to be able to innovate and give a new face to health services. Of course, the improvement of health services starts from the smallest and lowest layers, namely Polindes. Starting from this policy and the finding of relatively low public health service problems, the authors see a health service in Polindes, which contributes positively to improving the quality of public health services. The health service is the author's view of the communication perspective through the study of Communication in the Synergy of Public Health Services Polindes (Village Maternity Post) in Tarumajaya Village, Kertasari District, Bandung Regency. The method used in this research is a case study. The results of the study revealed that public health services in Polindes are inseparable from the communication process that exists in the village. The verbal communication process includes positive synergy between the communicator and the communicant. In this case, the communicators are village midwives, village officials, namely the village head and his staff, the sub-district health center, and the active role of the village cadres involved. In contrast, the communicant that was targeted was the community in the village of Tarumajaya. This positive synergy results in a marked increase in public services, namely by providing new facilities in the village, RTK (Birth Waiting Home).   Kebijakan “one data” yang dimotori oleh pemerintah melalui Kementerian kesehatan diyakini mampu membuat inovasi dan memberikan wajah baru terhadap layanan kesehatan. Tentunya, perbaikan layanan kesehatan tersebut dimulai dari lapisan terkecil dan terbawah yakni Polindes. Berawal dari kebijakan tersebut dan masih ditemukannya masalah pelayanan kesehatan publik yang relatif rendah, penulis melihat sebuah layanan kesehatan di Polindes, yang memberikan kontribusi positif dalam peningkatan kualitas layanan kesehatan masyarakat. Pelayanan kesahatan tersebut penulis lihat dari perpektif komunikasi melaui penelitian Komunikasi dalam Sinergi Pelayanan Kesehatan Publik Polindes (Pos Bersalin Desa) di Desa Tarumajaya, Kecamatan Kertasari, Kabupaten Bandung ini dilakukan. Metode yang digunakan dalam penelitian ini adalah studi kasus. Hasil penelitian mengungkapkan bahwa pelayanan kesehatan publik di Polindes, tidak terlepas dari adanya proses komunikasi yang terjalin di desa tersebut. Proses komunikasi verbal tersebut meliputi sinergitas positif antara pihak komunikator dan komunikan. Dalam hal ini, komunikator tersebut adalah Bidan Desa, Aparat Desa yakni Kepala Desa beserta staffnya, Puskesmas tingkat kecamatan, serta peran aktif dari para kader desa yang terlibat. Sedangkan komunikan yang menjadi target adalah masyarakat di desa Tarumajaya. Sinergitas positif tersebut menghasilkan peningkatan pelayanan publik yang nyata, yaitu dengan adanya penyediaan fasilitas baru di desa, RTK (Rumah Tunggu Kelahiran).

Politics Matters

2021 ◽  
pp. 565-575
Author(s):  
Raymond K. H. Chan
Keyword(s):  
Public Health ◽  
Health Services ◽  
Health Financing ◽  
User Fees ◽  
Alternative Methods ◽  
Public Health Services ◽  
Health Finance ◽  
Rational Planning ◽  
The Government ◽  
Welfare Politics

Hong Kong's public health services gradually developed since the 1950s. They are mainly funded by taxes, supplemented by minimal user fees. In the late 1980s, the government recognized the limitations of this financing model and has subsequently proposed alternative methods of funding. Their proposals have been rejected by various stakeholders, who represent different, and even conflicting, values and interests; and eventually can only end up with a limited voluntary health insurance scheme. This chapter describes the development of health services and the debates that have surrounded health financing since the late 1980s. It shows that the health finance debate in Hong Kong is not a simple issue that can be tackled by rational planning; instead, it is a complex consequence of welfare politics in an increasingly mobilized society.

Politics Matters

2020 ◽  
pp. 188-198
Author(s):  
Raymond K. H. Chan
Keyword(s):  
Public Health ◽  
Health Services ◽  
Health Financing ◽  
User Fees ◽  
Alternative Methods ◽  
Public Health Services ◽  
Health Finance ◽  
Rational Planning ◽  
The Government ◽  
Welfare Politics

Hong Kong's public health services gradually developed since the 1950s. They are mainly funded by taxes, supplemented by minimal user fees. In the late 1980s, the government recognized the limitations of this financing model and has subsequently proposed alternative methods of funding. Their proposals have been rejected by various stakeholders, who represent different, and even conflicting, values and interests; and eventually can only end up with a limited voluntary health insurance scheme. This chapter describes the development of health services and the debates that have surrounded health financing since the late 1980s. It shows that the health finance debate in Hong Kong is not a simple issue that can be tackled by rational planning; instead, it is a complex consequence of welfare politics in an increasingly mobilized society.

scholarly journals IMPLEMENTASI KEBIJAKAN JAMINAN KESEHATAN DAERAH DI KABUPATEN PURBALINGGA PROVINSI JAWA TENGAH

2020 ◽  
Vol 24 (1) ◽  
pp. 463
Author(s):  
Hari Walujo Sedjati
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Service ◽  
Policy Implementation ◽  
Health Sector ◽  
The Public ◽  
Central Java ◽  
Health Goals ◽  
Efficiency And Effectiveness ◽  
The Government

The research aimed to know problems policy health on Purbalingga district; province Central Java. Health planners have been more effective largely because of a policy regionalizing responsibility for the public health pure delivery assurance systems. Several kinds of health service provider’s hospital recommended by government for pure society in Purbalingga district. The Government as certain the efficiency and effectiveness of health services in public actors, these goals and options which frame a actor government Purbalingga district, choice in the health sector, are complicated by agreement over the criteria that determinant which patients are getting too much for pure society to health care. The policy Implementation goals to minimize mortalities and Invalid body for pure society in Purbalingga and policy health goals and standards are reached.

scholarly journals Penerapan algorithma k-mean untuk clustering data obat pada puskesmas rumbai

2016 ◽  
Vol 7 (2) ◽  
pp. 108-114
Author(s):  
Taslim Taslim ◽  
Fajrizal Fajrizal
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Decision Support Tool ◽  
Health Centers ◽  
Health Clinic ◽  
Support Tool ◽  
Insurance Program ◽  
Health Insurance Program ◽  
The Government ◽  
Clustering Data

Abstrak- Melalui program jaminan kesehatan pemerintah berupaya terus menjamin kesehatan bagi masyarakat melalui puskesmas puskesmas atau balai pengobatan. Salah satu komponen yang sangat penting pada puskesmas maupun balai pengobatan adalah masalah ketersediaan obat. Ketersediaan obat harus dikelola secara baik untuk menjamin obat yang dibutuhkan oleh masyarakat selalu tersedia dengan jumlah yang cukup dan memadai. Clusterisasi pada data mining dapat digunakan untuk menganalisa pemakaian obat yang terjadi selama ini pada sebuah puskesmas untuk digunakan sebagai salah satu alat bantu penunjang keputusan bagi pihak puskesmas untuk mengajukan permintaan obat pada periode yang akan datang. Hasil dari penelitian ini dapat mengelompokkan tingkat pemakaian obat pada apotik puskesmas Rumbai Bukit Pekanbaru Kata Kunci : Data mining, k-means, obat, puskesmas, cluster Abstrack- Through the government health insurance program seeks to continue to ensure public health through public health centers health centers or clinics. One very important component in health centers and clinics is the issue of availability of drugs. Availability of the drug should be managed properly to ensure the drug is needed by the community always available in sufficient quantities and adequate. Clusterisasi on data mining can be used to analyze the use of drugs that occurred during this time in a health clinic to be used as a decision support tool for the clinic to request the drug in the coming period. The results of this research can classify the level of drug use at the health center pharmacy Tassel Hill Pekanbaru Keyword: Data mining, k-means, medicine, health centers, cluster

Improving the Governance Mechanism for Responding to Public Health Emergencies under COVID-19

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Xinle Li ◽  
Changxin Bi
Keyword(s):  
Public Health ◽  
Harmonious Society ◽  
Social Stability ◽  
Governance Mechanism ◽  
Public Health Services ◽  
Effective Governance ◽  
Public Health Emergencies ◽  
The World ◽  
The Government ◽  
Stable Development

<p>The outbreak of COVID-19 in December 2019 has been spreading in China and even around the world, and public health emergencies will have certain impact on the country’s stable development. The government provides a variety of public services for building a harmonious society, including public health services. The government is at the forefront of COVID-19 epidemic management. Effective governance mechanisms will reduce the spread of the epidemic, maintain the image of the government and keep social stability. Therefore, it is of great strategic significance to improve the government’s governance mechanism for responding to public health emergencies. Based on the epidemic background of COVID-19, this article expounds the current situation of the government’s governance mechanism for responding to public health emergencies in China, explains the significance of the construction of the mechanism. Suggestions are put forward on improving the construction of the government’s governance mechanism for responding to public health emergencies, so as to better respond to public health emergencies in the future.</p>

scholarly journals Penerapan Data Mining Dalam Mengelompokkanm Jumlah Usaha Berdasarkan Provinsi Menggunakan K-Means Clustering

2019 ◽  
Vol 1 ◽  
pp. 937
Author(s):  
Rahel Adelina Hutasoit ◽  
M. Safii ◽  
Iin Parlina
Keyword(s):  
Data Mining ◽  
Business Performance ◽  
Industrial Revolution ◽  
Assessment Process ◽  
Business World ◽  
New Era ◽  
Central Java ◽  
The Government ◽  
Medium Enterprises ◽  
North Sumatra

Industrial revolution 4.0 is an era where technology in the IT field is growing very rapidly, it can also be said a new era for entrepreneurs in Indonesia that must be a golden opportunity to improve business performance and opportunities for millennials to enter the business or business world. In this era people are expected to be able to compete especially in the business world. This study discusses the Application of Data Mining in Grouping the Number of Enterprises by Province Using K-Means Clustering. The source of this research data is collected based on the information documents of the number of businesses in Indonesia produced by the National Statistics Agency. The data used in this study are provincial data consisting of 34 provinces. Data will be processed by clustering in 3 clusters, namely cluster of high number of businesses, cluster of medium number of businesses and cluster of low number of businesses. The results obtained from the assessment process are based on the index of the number of businesses with 4 provinces, the number of high businesses, namely North Sumatra, West Java, Central Java, and East Java, 13 Provinces, the number of medium enterprises and 17 other provinces, including low business numbers. This can be used as input to the community, especially in provinces where the number of businesses is low so they can compete in the business world and input for the government to provide facilities and infrastructure to support entrepreneurs in Indonesia.

scholarly journals Enhancing partnerships and collaboration in times of change

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Clark ◽  
S Neil-Sztramko ◽  
M Dobbins
Keyword(s):  
Public Health ◽  
Resource Sharing ◽  
Health Sector ◽  
Supporting Evidence ◽  
Public Health Services ◽  
The Public ◽  
Public Health Sector ◽  
Big Picture ◽  
The Government ◽  
Public Health Practitioners

Abstract Issue In 2019, the government of the Canadian province of Ontario announced major changes to the structure, governance and funding of public health services. Throughout these changes, publicly funded local and regional public health organizations are still expected to provide effective, evidence-informed programming to their communities. The National Collaborating Centre for Methods and Tools (NCCMT) has facilitated collaborations to support Ontario public health through this transition. Description of the problem In order to support evidence-informed public health in Ontario during this transition, the NCCMT reached out to current and potential partners, within and beyond the public health sector for a multidisciplinary approach. We conducted a needs assessment for an evidence review repository, which would allow public health practitioners to share and build upon each other's work. Finally, demonstrating the value of public health to policymakers can be inherently challenging as the return on investment in public health is often very long term. We partnered with health units in varying capacities to find and synthesize evidence to advocate for continued investment in public health. Results This initiative has provided important lessons in developing and maintaining strong partnerships. Looking beyond the public health sector can establish mutually beneficial partners and allies in other disciplines. A key finding was the need to establish infrastructure to support collaboration and resource sharing. Finally, we learned that big picture questions like demonstrating the value of public health require many different perspectives, inputs and areas of expertise. Lessons Through this initiative, we have developed a multidisciplinary, collaborative approach to supporting evidence-informed public health through times of major restructuring. This approach can be applied to future changes to public health on smaller or larger scales, or within other geographic regions. Key messages Multidisciplinary approaches can support collaboration, unity and advocacy in times of change. Establishing infrastructure to support collaboration and sharing of resources is valuable.

Sign in / Sign up

Export Citation Format

Share Document