Analisis zonasi lahan usaha tambang menggunakan metode K-means clustering berbasis sistem informasi geografi

Lutfi, Muhammad; Sukiyah, Emi; Sulaksana, Nana

doi:10.30556/jtmb.vol15.no1.2019.978

Cited by 3 publications

(4 citation statements)

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“…Journal homepage: https://jurnal.uns.ac.id/joive/index menyangkut dengan opersasional tambang serta analisis ekonomi terhadap potensi bahan galian tersebut, sehingga nantinya dapat menjadi acuan bagi pemerintah daerah dalam proses investasi di bidang pertambangan. [8] Data Clustering Data clustering merupakan salah satu metode data mining yang bersifat tanpa arahan (unsupervised). Ada dua jenis data clustering yang dapat digunakan dalam proses pengelompokkan data yaitu hierarchical data clustering dan non-hierarchical data clustering.…”

Section: Metodologi Penelitian K-meansunclassified

Analisis Pengelompokan Data Argumen Tentang Penerapan Kebijakan Sistem Zonasi Pada Pendaftaran Sekolah Dengan Menggunakan Metode Clustering

Ika

2020

JOIVE

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<a href="http://www.u-dictionary.com/home/word/The%20Indonesian%20government%20has%20taken%20steps%20to%20seek%20comprehensive%20reform%20of%20schools.%20One%20of%20the%20efforts%20of%20governments%20is%20to%20implement%20a%20zoning%20system,%20which,%20in%20this%20policy,%20governments%20have%20set%20boundaries%20-%20the%20limit%20of%20rayon%20to%20the%20region%20around%20schools,%20which,%20in%20turn,%20should%20be%20prioritized%20for%20new%20student%20registrations,%20those%20of%20which%20live%20closer%20to%20school.%20Beyond%20rayon%20or%20school%20district%20can%20register%20with%20the%20old%20person's%20accomplishments%20and%20transmigration%20pathways,%20which%20is%20a%20factor%20in%20the%20rise%20of%20controversy%20in%20society.%20By%20doing%20so,%20these%20studies%20can%20become%20a%20valid%20standard%20or%20standard%20for%20schools%20to%20prepare%20for%20the%20zoning%20system%20for%20the%20New%20Year.%20In%20this%20study%20the%20data%20used%20is%20the%20real%20data%20obtained%20from%20the%20dissemination%20of%20the%20questionnaire%20to%20society.%20The%20data%20gathered%20is%20380%20and%20181%20male%20respondents%20and%20199%20female%20respondents%20of%202%20district%20in%20pati,%20the%20margoyoso%20and%20tayu%20districts.%20Data%20is%20processed%20using%20version%201.%201,456%20r%20software,%20and%20it%20is%20thereafter%20done%20clustering%20by%20k-means./from/en/to/hi">The Indonesian government has taken steps to seek comprehensive reform of schools. One of the efforts of governments is to implement a zoning system, which, in this policy, governments have set boundaries - the limit of rayon to the region around schools, which, in turn, should be prioritized for new student registrations, those of which live closer to school. Beyond rayon or school district can register with the old person's accomplishments and transmigration pathways, which is a factor in the rise of controversy in society. By doing so, these studies can become a valid standard or standard for schools to prepare for the zoning system for the New Year. In this study the data used is the real data obtained from the dissemination of the questionnaire to society. The data gathered is 380 and 181 male respondents and 199 female respondents of 2 district in pati, the margoyoso and tayu districts. Data is processed using version 1. 1,456 r software, and it is thereafter done clustering by k-means.</a>

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Section: Metodologi Penelitian K-meansunclassified

Analisis Pengelompokan Data Argumen Tentang Penerapan Kebijakan Sistem Zonasi Pada Pendaftaran Sekolah Dengan Menggunakan Metode Clustering

Ika

2020

JOIVE

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“…Retaining emissions/carbon stocks (in conservation forests) 4. Increasing carbon stocks (in reforestation and ecosystem restoration activities) Approximately 90% of the biomass in forests on Earth's surface consists of wood, branches, leaves, roots, forest litter, animals, and microbes [5,6]. The process of photosynthesis, in which carbon dioxide (CO2) in the atmosphere is bound and transformed into an energy source (sugar clusters) helpful for life, allows forests to absorb carbon dioxide from the environment.…”

Section: Introductionmentioning

confidence: 99%

“…To estimate carbon stocks in a larger area, a way is needed to extrapolate the results of plot-based measurements to the landscape level. One potential method to meet these needs is to use remote sensing technology [6]. One data from remote sensing is reflectance and spectral characteristics [11].…”

Section: Introductionmentioning

confidence: 99%

Biomass Stock Estimation Using Landsat 8 Imagery in Bukit Tigapuluh National Park, Riau

Ash-Shidiq,

Supriatna,

Darmawan

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Forests certainly store biomass content which is reflected in the physical appearance of a tree. In calculating biomass directly, direct surveys and measurements are needed. Remote sensing technology, in this case, is a tool for monitoring and calculating the biomass content of vegetation. In estimating biomass using remote sensing, the biomass content of vegetation in the field is still needed. This study aimed to estimate the biomass content of the Meranti plant (Shorea parvifolia Dyer), which is the dominant plant species in the Bukit Tigapuluh National Park in Indragiri Hulu and Indragiri Hilir Regencies, Riau Province and Tebo Regencies and Tanjung Jabung Barat Regencies in Jambi Province with using Landsat 8 imagery. Field measurements and remote sensing images, which in this case are vegetation indices in the form of NDVI, ARVI, GNDVI, MSAVI2, and EVI, will produce a biomass estimation model, and the most suitable model will be selectively selected based on the strength of the relationship between the two parameters. The resulting model between the biomass value and the vegetation index will then become an estimate of the biomass of the dominant plant species in Bukit Tigapuluh National Park.

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“…Clustering analysis's results are not only for developing e-commerce websites but also can help determine the good marketing strategy [5]. In the mining sector, clustering also can used to sort out potential areas of mining material [6]. In the field of disaster management, clustering analysis of hotspot data is performed as an effort to prevent potential forest and land fires [7], [8].…”

Section: Introductionmentioning

confidence: 99%

A LOF K-Means Clustering on Hotspot Data

Muhima¹,

Kurniawan²,

Pambudi³

2020

Int.J.Artif.Intell.Robot.

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K-Means is the most popular of clustering method, but its drawback is sensitivity to outliers. This paper discusses the addition of the outlier removal method to the K-Means method to improve the performance of clustering. The outlier removal method was added to the Local Outlier Factor (LOF). LOF is the representative outlier’s detection algorithm based on density. In this research, the method is called LOF K-Means. The first applying clustering by using the K-Means method on hotspot data and then finding outliers using the LOF method. The object detected outliers are then removed. Then new centroid for each group is obtained using the K-Means method again. This dataset was taken from the FIRM are provided by the National Aeronautics and Space Administration (NASA). Clustering was done by varying the number of clusters (k = 10, 15, 20, 25, 30, 35, 40, 45 and 50) with cluster optimal is k = 20. The result based on the value of Sum of Squared Error (SSE) shown the LOF K-Means method was better than the K-Means method.

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Analisis zonasi lahan usaha tambang menggunakan metode K-means clustering berbasis sistem informasi geografi

Cited by 3 publications

References 0 publications

Analisis Pengelompokan Data Argumen Tentang Penerapan Kebijakan Sistem Zonasi Pada Pendaftaran Sekolah Dengan Menggunakan Metode Clustering

Analisis Pengelompokan Data Argumen Tentang Penerapan Kebijakan Sistem Zonasi Pada Pendaftaran Sekolah Dengan Menggunakan Metode Clustering

Biomass Stock Estimation Using Landsat 8 Imagery in Bukit Tigapuluh National Park, Riau

A LOF K-Means Clustering on Hotspot Data

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