scholarly journals Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java

2021 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Ririn Restu Aria
Keyword(s):  
Data Processing ◽  
Data Clustering ◽  
Close Contact ◽  
West Java ◽  
Totally Positive ◽  
Calculation Analysis ◽  
Cluster Mapping ◽  
High Cluster

The Covid 19 pandemic has hit Indonesia for almost 15 months since March 2020. The virus has spread to all provinces in Indonesia. Various efforts were made to be able to reduce or prevent the spread of the coronavirus, including the implementation of the PSBB in various areas including in West Java province. In this study, the objective of this research is to cluster the data on cases of Covid 19 in West Java which are recapitulated daily based on districts/cities that occurred on May 20, 2021. For the clustering process, the K-medoids algorithm is used which determines 3 clusters based on the variables used, namely discarded close contact, suspects discarded, probable completed, probable died, totally positive, positive recovered, and positive died. For data processing, a calculation analysis was carried out using the stages in the K-medoids algorithm and the Rapidminer application with high cluster mapping of 6 districts/cities, medium clusters there were 19 districts/cities, while low clusters had 2 districts/cities. The results of the analysis are expected to provide information about the distribution and mapping of clusters in West Java province.  

scholarly journals PENGARUH LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN BADAN NARKOTIKA NASIONAL PROVINSI JAWA BARAT

2019 ◽  
Vol 9 (2) ◽  
pp. 33-42
Author(s):  
Rika Omala Agusta ◽  
Romat Saragih
Keyword(s):  
Linear Regression ◽  
Data Processing ◽  
Work Environment ◽  
Employee Performance ◽  
External Factors ◽  
Working Environment ◽  
Physical Work ◽  
West Java ◽  
Is Success ◽  
Physical Work Environment

An organization is synonymous with performance, which is defined as a measure of where an organization is success in achieving the target or not, in the province of West Java BNN in 2017 whose activities realized only reached 54.25%. One of the external factors that can influence is the work environment, it shows that BNN province of West Java has a working environment can create a disgruntled employee.This study was conducted to determine the effect of the work environment on employee performance. The method used in this research is quantitative. Using multiple linear regression with SPSS Ver.23 as data processing tools. From the data processing showed the physical work environment affects 33.1% and non-physical work environment has a greater influence second known 43.2% a significant impact on employee performance. It was concluded that the effect on the performance of employees in the province of West Java BNN is a non-physical work environment, because BNN itself has activities associated with various organizations outside the office.

scholarly journals Economic Growth : The Impact of Zakat Funds and Tax on Business Capital

IKONOMIKA ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 141-156
Author(s):  
Sri Dewi Anggadini (Universitas Komputer, Indonesia) ◽  
Surtikanti Surtikanti (Universitas Komputer, Indonesia) ◽  
Faez M. Hassan (Mustansiriyah University, Iraq)
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Data Processing ◽  
Multiple Regression Analysis ◽  
Distribution Data ◽  
Regression Equations ◽  
West Java ◽  
Local Taxes ◽  
The Impact

This study aims to determine the effect of Zakat Funds and Tax on Business Capitales on Economic Growth. The population in this study is the data of the Province of West Java from 2010 to 2017 where the economic growth report, Tax on Business Capital report and zakat fund distribution report are used.   The sample taken by the author in this study is the Zakat Fund Distribution Data, Tax on Business Capital Data and the Gross Regional Domestic Product (PDRB) data of West Java Province from 2010 to 2017. Researchers used multiple statistical analysis and correlation methods. To obtain more accurate results in multiple regression analysis, classic assumption testing is executed so that the results obtained are regression equations. The results of the study show that the Zakat Fund Distribution and Tax on Business Capital data have a significant effect on economic growth. Based on data processing, it shows that the distribution of zakat funds and local taxes simultaneously in providing an influence on economic growth variables of 76%. While the rest of 100% - 76% = another 24%  is the influence of other variables not examined in this study.Keywords : Zakat Funds; Tax on Business Capital; Economic Growth

Applying the Horizon Based Tomography Method to Update Interval Velocity Model, Identify The Structure of Pre-Stack Depth Migration 3D and Estimate The Hydrocarbon Reserve In SBI Field of North West Java Basin

2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Sudra Irawan ◽  
Sismanto Sismanto ◽  
Adang Sukmatiawan
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Velocity Model ◽  
Research Area ◽  
Seismic Data Processing ◽  
West Java ◽  
North West ◽  
Depth Migration ◽  
Interval Velocity ◽  
Tomography Method

Seismic data processing is one of the three stages in the seismic method that has an important role in the exploration of oil and gas. Without good data processing, it is impossible to get seismic image cross section for good interpretation. A research using seismic data processing was done to update the velocity model by horizon based tomography method in SBI Field, North West Java Basin. This method reduces error of seismic wave travel time through the analyzed horizon because the existence velocity of high lateral variation in research area. There are three parameters used to determine the accuracy of the resulting interval velocity model, namely, flat depth gathers, semblance residual moveout that coincides with the axis zero residual moveout, and the correspondence between image depth (horizon) with wells marker  (well seismic tie). Pre Stack Depth Migration (PSDM) form interval velocity model and updating using horizon-based tomography method gives better imaging of under-surfaced structure results than PSDM before using tomography. There are three faults found in the research area, two normal faults have southwest-northeast strike and the other has northwest-southeast strike. The thickness of reservoir in SBI field, North West Java Basin, is predicted between 71 to 175 meters and the hydrocarbon (oil) reserve is predicted about  with 22.6% porosity and 70.7% water saturation. 

scholarly journals Synthesis of an Algorithm for Processing the Trajectories of Moving Objects Using the Methods of Data Clustering Theory

2021 ◽  
Vol 24 (2) ◽  
pp. 54-67
Author(s):  
Nguyen Phung Bao ◽  
Quang Hieu Dang
Keyword(s):  
Data Processing ◽  
Experimental Research ◽  
Systems Engineering ◽  
Data Clustering ◽  
Moving Objects ◽  
Radar Data ◽  
New Approach ◽  
Radar Data Processing ◽  
Object Trajectories ◽  
Generalized Scheme

Introduction.  Requirements for the quality of information about the trajectory of moving objects provided by sensor networks are increasingly becoming more stringent. For Information and Data Processing Centers (DPC) at control and management command posts, the issue of information mapping and forming the true trajectories of moving objects in the area of intersection of network detection zones is of particular importance. The use of conventional approaches to solving this problem involves issues  related to ensuring the efficient provision of users with complete and reliable information about trajectories in real time. In this article, wee propose a new approach to solving this problem using data mining theory, in particular, the methods of data clustering theory. Based on an analysis of the process of processing radar data in a DPC and its similarity with that of data clustering, we synthesized an algorithm for processing the trajectories of moving objects. The algorithm was verified by modelling and experimental research.Aim.  To develop a generalized scheme for processing object trajectories (TP) in a DPC and to synthesized a TP algorithm using the methods of data clustering theory.Materials  and  methods.  Data  Clustering  theory,  Systems   Engineering  theory,  Radar  Data  processing  theory (RD), methods of mathematical modelling and experimental research.Results.  Based on an analysis of the essence of radar data processing (RD) in a DPC and its similarity with the process of data clustering,  an algorithm for processing the trajectories of moving objects was synthesized and verified by modelling and experimental research. A generalized scheme for processing the trajectories of moving objects in a DPC and a TP algorithm for a DPC were synthesized.Conclusions.  An algorithm for processing object trajectories was proposed based on a new approach of data clustering theory. A generalized scheme and an algorithm for processing object trajectories (TP) in a DPC were suggested. These developments can be  effectively applied in various models, e.g. centralized, hierarchical and decentralized. The synthesized algorithm can provide output information about the true identified trajectories in terms of various indicators of data processing systems (DPS).

scholarly journals APLIKASI METODE PSEUDO 3D SEISMIK DI CEKUNGAN JAWA BARAT UTARA MENGGUNAKAN K.R. BARUNA JAYA II

Oseanika ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 1-12
Author(s):  
Trevi Jayanti Puspasari ◽  
Sumirah Sumirah
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Processing Technique ◽  
3D Seismic ◽  
Seismic Data Processing ◽  
West Java ◽  
Gas Industry ◽  
North West

ABSTRAK Tuntutan untuk mengikuti perkembangan kebutuhan industri migas menjadi motivasi dalam mengembangkan teknik penerapan dan aplikasi akuisisi seismik multichannel 2D. Perkembangan kebutuhan eksplorasi industri migas tidak diimbangi dengan  anggaran peningkatan alat survei seismik milik negara termasuk yang terpasang di K.R. Baruna Jaya II – BPPT. Penerapan metode pseudo 3D pada disain survei dan pengolahan data dapat menjadi solusi efektif dan efisien dalam mengatasi persoalan tersebut. Metode Pseudo 3D merupakan suatu teknik akuisisi dan pengolahan data dengan menitik beratkan pada disain akuisisi dan inovasi pengolahan data seismik 2D menghasilkan penampang keruangan (3D) berdasarkan input data seismik yang hanya 2D. Penelitian ini bertujuan untuk mengaplikasikan metode pseudo 3D seismik di Cekungan Jawa Barat Utara menggunakan wahana KR. Baruna Jaya II yang dilakukan pada Desember 2009. Sebagai hasil, pengolahan data 2D lanjutan telah dilakukan dan diperoleh profil penampang seismik keruangan (3D). Profil hasil pengolahan data Pseudo 3D ini dapat menjadi acuan dalam pengambilan keputusan dan rencana survei berikutnya. Kata Kunci: Seismik Pseudo 3D, Seismik multichannel 2D, K.R. Baruna Jaya II, Cekungan Jawa Barat Utara. ABSTRACT [Aplication of Seismic Pseudo 3D in Nort West Java Basin Using K.R. Baruna Jaya II] The demand to follow the growth of  needs in the oil and gas industry is a motivation in the developing of techniques for assessment and applying 2D multichannel seismic acquisition. The development of exploration needs for the oil and gas industry is not matched by budget for an upgrade Government’s seismic equipment including equipment installed in K.R. Baruna Jaya II. Applied Pseudo 3D method in survey and seismic data processing can be an effective and efficient solution. The pseudo 3D method is a data acquisition and processing technique with an emphasis on the acquisition design and 2D seismic data processing innovation to produce a 3D seismic volume. This study aims to apply the pseudo 3D seismic method in the North West Java Basin using the K.R. Baruna Jaya II which was held in Desember 2009. As a Result, advanced seismic processing was carried out to output a seismic volume (3D) profile. This profile can be used as a reference in making decisions and planning the next survey.   Keywords:          Pseudo 3D Seismic, Seismic 2D multichannel, K.R. Baruna Jaya II, Nort West Java Basin.

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 Penerapan Algoritma K-Means Dalam Pengelompokan Data Penduduk Miskin Menurut Provinsi

2020 ◽  
Vol 2 (2) ◽  
pp. 76-83
Author(s):  
Irmanita Nasution ◽  
Agus Perdana Windarto ◽  
M Fauzan
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Regional Growth ◽  
Data Mining Techniques ◽  
The Government ◽  
Different Characteristics ◽  
Existing Data ◽  
High Cluster

Proverty is one of the problems that inhibits national and regional growth. This research uses data mining techniques. In this study tha data used were sourced from the 2012-2018 statistical center. The research uses data mining techniques. In the data processing using k-means method. K-means method is a method of grouping existing data into several groups where the data in one group has the same characteristics with each other and has different characteristics from the data in other groups. The number of records used is 34 provinces which are divided into 2 clusters namely high and low clusters. The purpose of this study is divided into 2 parts, namely the provincial group with a high proverty rate and the provincial group with the lowest proverty level. From the result of grouping there were 8 provinces of high cluster and 26 low clusters. It is hoped that this research can provide input to the government so that it can give more attention to provinces that are categorized as high in proverty

scholarly journals Marketing Strategy of HDL 293 Cilaki Bandung Seafood Restaurant (West Java) in the Midst of COVID-19 Pandemic

2021 ◽  
pp. 20-34
Author(s):  
Ghaida Yasmin Amini ◽  
Atikah Nurhayati ◽  
Achmad Rizal ◽  
Asep Agus Handaka
Keyword(s):  
Data Processing ◽  
Marketing Strategy ◽  
Environmental Conditions ◽  
Sampling Method ◽  
Swot Analysis ◽  
Secondary Data ◽  
West Java ◽  
Growth Policy

This research was held at HDL 293 seafood restaurant located on Cilaki street, Bandung, West Java. The implementation started on April 2020 until May 2021. This research aims to analyze internal environmental conditions including strengths and weaknesses, while external environmental conditions including opportunities and threats faced, then formulate and analyze marketing strategy during the COVID-19 pandemic. The method used is a case study using primary and secondary data. The sampling method used was accidental sampling and data processing used SPSS 25, Ms. Excel through SWOT analysis. Based on research, the best strategy for development of HDL 293 Cilaki Bandung seafood restaurant using SWOT analysis is in Quadrant I by implementing the SO (Strength and Opportunity) strategy or supporting an aggressive growth policy (growth oriented strategy). Where the coordinates are 0.38 ; 0.05 means taking advantage of strengths to seize opportunities that exist.

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 KEMAMPUAN VO2 MAX DAN KEMAMPUAN PEMULIHAN ATLET PENCAK SILAT

2019 ◽  
Vol 3 (2) ◽  
pp. 28-31
Author(s):  
ROMI SUTISNA ◽  
Iman Imanudin
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Significant Relationship ◽  
Martial Arts ◽  
Research Needs ◽  
Vo2 Max ◽  
West Java ◽  
Purposive Sampling ◽  
Relationship Of ◽  
The Relationship

This study discusses the relationship of vo2 max capability and the ability of martial arts athletes recovery, the instrument used in this study by using balke test to measure vo2 max and using polar to calculate the pulse. The purpose of this study is to determine and explain whether there is a relationship between the ability of vo2 max and the ability of the athletes recovery pencak silat In this study the researchers chose purposive sampling as the appropriate technique for sampling which researchers took the selected people according to the specific characteristics possessed by the sample that as many as 10 men athletes based on research needs. Research instruments used are data analysis. This research is located in Bandung, West Java precisely at the stadium of Universitas Pendidikan Indonesia, The result states that VO2 Max from the lowest to the highest is 35.6-47.5 and the recovery pulse from the lowest to the highest is 115-159. The results of data processing showed the following discovery: "There is no significant relationship between VO2 Max and the recovery ability of the athlete of pencaksilat".  Kata kunci : Vo2 Max, pencak silat recovery

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