scholarly journals VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM

2021 ◽  
Vol 4 (1) ◽  
pp. 71-78
Author(s):  
Frieyadie Frieyadie ◽  
Anggie Andriansyah ◽  
Tyas Setiyorini
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Clustering Algorithm ◽  
National Development ◽  
Health Facilities ◽  
West Java ◽  
The Future ◽  
The Government

Health is very important for the welfare and development of the Indonesian nation because as a capital for the implementation of national development, it is essentially the development of all Indonesian people and the development of all Indonesian people. Due to the outbreak of the Covid-19 virus, many health facilities must be provided for patients. Of course, the government must pay attention to the health facilities that can be used in every district/city in West Java in the future. Therefore, to determine the level of availability of sanitation facilities in each district/city in West Java, we need a technology that can classify data correctly. One method of data processing in data mining is clustering. The application of clustering to this problem can use the K-Means algorithm method to group the most frequently used data. The purpose of this study is to classify sanitation data on the highest sanitation facilities, medium sanitation facilities, and low sanitation facilities, so that areas/cities that are included in the low cluster will receive more attention from the government to improve/provide sanitation facilities.

scholarly journals The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

2021 ◽  
Vol 13 (14) ◽  
pp. 7585
Author(s):  
Yunmei Liu ◽  
Shuai Zhang ◽  
Min Chen ◽  
Yenchun Wu ◽  
Zhengxian Chen
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Financial Institutions ◽  
Clustering Algorithm ◽  
Development Trend ◽  
Research Field ◽  
Trend Prediction ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Government

Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

scholarly journals Application of Digital Mining Facing Information Fusion Technology in the Field of National Costume Culture Design

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Min Yu ◽  
Rongrong Cui
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Data Processing ◽  
Clustering Algorithm ◽  
Laplacian Matrix ◽  
Design System ◽  
Design Effect ◽  
Constraint Matrix ◽  
Clothing Design ◽  
Culture Design

In order to improve the design effect of minority clothing, according to the needs of minority clothing design, this paper uses data mining and Internet of Things technologies to construct an intelligent ethnic clothing design system and builds an intelligent clothing design system that meets customer needs based on the idea of human-computer interaction. In data processing, this paper uses the constraint spectrum clustering algorithm to take the Laplacian matrix and the constraint matrix as input and finally outputs a clustering indicator vector to improve the data processing effect of minority clothing design. Finally, this paper verifies the performance of the system designed in this paper through experiments. From the experimental research, it can be known that the minority clothing design system based on the Internet of Things and data mining constructed in this paper has a certain effect and can effectively improve the minority clothing design effect.

scholarly journals Clustering Fasilitas Kesehatan Berdasarkan Kecamatan Di Karawang Dengan Algoritma K-Means

2021 ◽  
Vol 8 (1) ◽  
pp. 83
Author(s):  
Bagus Muhammad Islami ◽  
Cepy Sukmayadi ◽  
Tesa Nur Padilah
Keyword(s):  
Data Mining ◽  
Developing Countries ◽  
Data Processing ◽  
Health Problems ◽  
Health Facilities ◽  
Microsoft Excel ◽  
Two Factors ◽  
Clustering Data ◽  
Index Value ◽  
Cluster 2

Abstrak: Masalah kesehatan yang ada di dalam masyarakat terutama di negara- negara berkembang seperti Indonesia dipengaruhi oleh dua faktor yaitu aspek fisik dan aspek non fisik. Berdasarkan data yang diperoleh dari karawangkab.bps.go.id data dibagi menjadi 3 cluster yaitu sedikit, sedang dan terbanyak. Algoritma yang digunakan adalah K-Means cluster yang diimplementsikan menggunakan Microsoft Excel dan Rapidminer Studio. Hasil pengolahan data fasilitas kesehatan di karawang menghasilkan 3 cluster dengan cluster 1 yang mempunyai fasilitas kesehatan sedikit sebanyak 23 kecamatan, cluster 2 yang mempunyai fasilitas kesehatan sedang sebanyak 5 kecamatan dan cluster 3 yang mempunyai fasilitas kesehatan terbanyak terdapat 2 kecamatan. Kinerja yang dihasilkan dari algoritma K-means menghasilkan nilai Davies Boildin Index sebesar 0,109.   Kata kunci: clustering, data mining, fasilitas kesehatan, K-Means.   Abstract: Health problems that exist in society, especially in developing countries like Indonesia, are built by two factors, namely physical and non-physical aspects. Based on data obtained from karawangkab.bps.go.id the data is divided into 3 clusters, namely the least, medium and the most. The algorithm used is the K-Means cluster which is implemented using Microsoft Excel and Rapidminer Studio. The results of data processing of health facilities in Karawang produce 3 clusters with cluster 1 which has 23 sub-districts of health facilities, cluster 2 which has medium health facilities as many as 5 districts and cluster 3 which has the most health facilities in 2 districts. The performance resulting from the K-means algorithm results in a Davies Boildin Index value of 0.109.   Keywords: clustering, data mining, health facilities, K-Means.

scholarly journals MANGROVES FOR NATIONAL DEVELOPMENT AND CONSERVATION IN INDONESIA: CHALLENGES FOR THE FUTURE

2009 ◽  
Vol 34 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Sukristijono Sukardjo
Keyword(s):  
National Development ◽  
Policy Document ◽  
Basic Principles ◽  
The Future ◽  
The Government ◽  
Mangrove Resources ◽  
Keen Competition

Indonesia's mangrove resources (soils and waters, flora and fauna, and as an ecosystem all are called as mangrove biodiversity) are growing in importance. As a consequence of past and present human utilization the mangrove resources have been depleted. Keen competition for use of the mangrove resources is apparent and is likely to intensify in the future. This policy document stresses the importance of mangroves for the Nation and the need for the Government to manage and protect them. A set of basic principles for the management and protection of mangroves is provided, together with an outline of some actions which local and central governments (Pemerintah Pusat dan Daerah) should take up in order to achieve a balance between the use of mangrove resources, their conservation and long term national development.

scholarly journals FUTURE OF PRINT AND E-NEWSPAPER IN INDIA: A CRITIQUE

2020 ◽  
pp. 159-164
Author(s):  
Dr. Rusha Mudgal ◽  
Prof. Pooja Rana
Keyword(s):  
New Media ◽  
Indian Subcontinent ◽  
Group Discussion ◽  
National Development ◽  
Media Industry ◽  
Digital Platforms ◽  
Satellite Television ◽  
The Future ◽  
The Government ◽  
The Masses

Print newspapers in India have evolved over the years. The significant readership of print newspaper is an evidence of it being a popular medium among people. Newspapers in India started before independence and gained much attention during the time of freedom struggle with many revolutionaries contributing to the growth of journalism. It became an effective medium to reach the masses. Post independence, print newspapers looked forward to maintaining the newly found freedom. In 1950s, National development became primary goal for the newspapers. Newspapers, by then, had earned the reputation of being a credible source of information. They served as important link between the government and citizens. As post independence many industries were affected by the wave of commercialization, journalism was also not left unaffected. With the coming of satellite television during1990s there were speculations that print newspapers would go obsolete. But newspapers reinvented themselves and learnt to not only co-exist but also made good profits. The dawn of the digital era saw the birth of e-newspapers. India too followed the suit amidst speculations that print newspapers will go obsolete but once again it reinvented itself and survived the wave of change. This paper attempts to trace the journey of newspaper from print to digital. It also attempts to prognosticate the future of print newspaper and e-newspaper in the Indian subcontinent. The paper concludes that although print newspapers are not going anywhere in the near future owing to their willingness to reinvent themselves, the future of newspaper is digital. The paper also explains the factors responsible for the shift in news consumption habits of the Indian readers. To accomplish the objectives of the study, the researchers conducted a focus group discussion with experts from media industry and academia. KEYWORDS: Print newspapers, e-newspapers, new media, digital platforms, vernacular press, localization of news.

scholarly journals UPAYA PENINGKATAN MUTU PENDIDIKAN TINGGI SERTA IMPLIKASINYA TERHADAP TUGAS DAN PERAN DOSEN

Nuansa ◽  
2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Rizkan Syahbuddin
Keyword(s):  
Higher Education ◽  
Human Resources ◽  
National Development ◽  
Quality Of Higher Education ◽  
Effective Training ◽  
The Future ◽  
The Government ◽  
And Behavior

National development that  lasts  all the  time,  then the  development of higher education is still prioritized by the government to continue to grow, including the role and  duties of lecturers. Strategy  setting is part  of long-term development. The goal is in the most appropriate way in the future to be able. Improving the quality of higher education can not be separated from the quality of human resources owned. Therefore, improving the quality of the behavior and behavior of lecturers as teachers through education channels and  effective training programs in their  work is needed. With qualified human resources, it is expected that  higher education will become an institution capable of effectively facing the challenges of the future.

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 DATA MINING DALAM PENGELOMPOKAN JENIS DAN JUMLAH PEMBAGIAN ZAKAT DENGAN MENGGUNAKAN METODE CLUSTERING K-MEANS (STUDI KASUS: BADAN AMIL ZAKAT KOTA BENGKULU)

2018 ◽  
Vol 1 (2) ◽  
pp. 211
Author(s):  
Prahasti Prahasti
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Clustering Algorithm ◽  
Test Results ◽  
Clustering Method ◽  
Center Point

Abstrack - This research applies data mining by grouping the types and recipients of zakat. The application is done by the k-means clustering algorithm where the data to be entered is grouped by education and type of work in the distribution of zakat. Then a cluster is formed using the centroid value to determine the closest center point of distance between data. In the k-means clustering algorithm data processing is stopped in the iteration count of the data has not changed (fixed data) from the data that has been grouped. The test is done by using the RapidMiner software experiment conducted by the k-means clustering method which consists of input units, data processing units and output units, k-means clustering grouping data 1-2-1-1, 1-2-1-2 and 3-4-3-4. The results obtained from these tests are grouping the distribution of zakat with each cluster not the same. The test results are displayed in slatter graph.  Keywords - Data Mining, K-Means Clusttering, Zakat

scholarly journals The Importance of Good Governance on Achieving Sustainable Development Case Study: Yemen

2020 ◽  
Author(s):  
AbdulGhani Gaghman
Keyword(s):  
Sustainable Development ◽  
General Framework ◽  
Good Governance ◽  
National Development ◽  
Policy Formulation ◽  
Development Agenda ◽  
The Future ◽  
Research Findings ◽  
The Government

Governance has become one of the most important concepts in developing countries. Consequently, many countries are trying to pursue good governance and adoption according to the established concept of governance in order to achieve the desired sustainable economic growth and development. Yemeni economy has been in deep recession due to Saudi alliance war since March 2015. Once the war stops, restructuring economy required a new development approach with firm and well define good governance principles aiming to achieve Sustainable Development goals. Yemen as one of the least developing country, not all of its efforts to move ahead economically have been successful. There is more than one reason for its failure to achieve sustainable economic development, but one is absence of good governance. International organizations, donors, and researchers have prescribed good governance as a solution to persistent development problems. This paper is an attempt to enrich this subject, at least in part, by examining the value of adopting good governance on achieving sustainable development. Based on research findings and learning from other countries experience, development progress and challenges, general framework to implement good governance has been recommended to be consider in the future national development agenda to tolerate achieving sustainable development. Building human capacity is one of the key requirements needed to make a qualitative shift towards sustainable development. The current situation of sustainable development and governance in Yemen as a case study has been reviewed in an explanatory methodologies using regional statistics and global database such as UN organizations, World Bank, HDI, SDGs and Governance indicators to examine the progress made over the last decade. Paper recommended practical steps and actions to be taken to help the official government to reform the current institutional arrangements at the regional as well as national levels, such as adopt governance principles, long term planning, and establishing “High Councils for good governance” to ensure integrated policy formulation, adequate cooperation and coordination among different government entities, and between the government and non-state stakeholders. These recommendations and result have been presented to the Yemeni official government and economic institutions aiming to be integrated in the reform strategies, in particular in the Yemen National Development Strategy (2030). Based on research findings and learning from other countries experience, development progress and challenges, general framework to implement good governance has been recommended to be consider in the future national development agenda to achieve sustainable development.   Keywords: Sustainable Development, Good Governance, Economic Reform, Yemen, SDGs

scholarly journals Analisis Yuridis Bahaya Narkotika bagi Kesehatan Masa Depan Generasi Muda

2021 ◽  
Vol 8 (2) ◽  
pp. 81
Author(s):  
Nasrianti N ◽  
Muhibbuddin M
Keyword(s):  
Human Resources ◽  
Research Method ◽  
National Development ◽  
Active Role ◽  
Health States ◽  
Legal Norms ◽  
The Future ◽  
Younger Generation ◽  
The Republic ◽  
The Government

Abuse of Narcotics among the younger generation which can damage health and destroy the future of the younger generation and also the continuation of the future of the State then in legal considerations the birth of Law of the Republic of Indonesia Number 35 of 2009 concerning Narcotics is, to create a prosperous, just and prosperous Indonesian society that is evenly material and spiritual based on Pancasila and the 1945 Constitution of the Republic of Indonesia, the quality of Indonesia's human resources as one of the assets for national development needs to be continuously maintained and improved, including the degree of health; Therefore, to improve the health status of Indonesian human resources in the context of realizing the welfare of the people, it is necessary to make efforts to improve in the field of treatment and health services, among others by seeking the availability of certain types of Narcotics which are urgently needed as drugs and to prevent and eradicate the dangers of abuse and illicit Narcotics trafficking and Narcotics Precursor. The method used in this research is a qualitative normative juridical research method, namely a research method that refers to the legal norms contained in legislation. The conclusion of Articles 18 and 19 of Law of the Republic of Indonesia Number 36 of 2009 concerning Health, states that the Government is responsible for empowering and encouraging the active role of the community in all forms of health efforts, and the Government is responsible for the availability of all forms of quality, safe health efforts.  efficient, and affordable.

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