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3.123 Articles

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Using k-Means and Self Organizing Maps in Clustering Air Pollution Distribution in Makassar City, Indonesia DOI : 10.34312/jjom.v4i1.11883 | Abstract views : 221 times

Suwardi Annas,Uca Uca,Irwan Irwan,Rahmat Hesha Safei,Zulkifli Rais

Air pollution is an important environmental problem for specific areas, including Makassar City, Indonesia. The increase should be monitored and evaluated, especially in urban areas that are dense with vehicles and factories. This is a challenge for local... see more

k-Means | Geographic Information Systems | Air Pollution | Self-Organizing Maps

Jambura Journal of Mathematics , 2022

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Portfolio optimization based on self-organizing maps clustering and genetics algorithm

(1) Fajri Farid (Universitas Gadjah Mada, Indonesia) (2) Dedi Rosadi (Universitas Gadjah Mada, Indonesia)

In this modern era, gaining additional income is necessary to fulfill daily needs since inflation is unavoidable. Investing in stocks can give passive income to help people deal with the increasing prices of necessities. However, selecting stocks and cons... see more

Portfolio | Optimization | Clustering | Genetic Algorithm | Self-organizing Maps

International Journal of Advances in Intelligent Informatics , 2022

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Portfolio optimization based on self-organizing maps clustering and genetics algorithm

(1) Fajri Farid (Universitas Gadjah Mada, Indonesia) (2) Dedi Rosadi (Universitas Gadjah Mada, Indonesia)

Portfolio | Optimization | Clustering | Genetic Algorithm | Self-organizing Maps

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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Pengembangan Sistem Rekomendasi Peminjaman Buku Berbasis Web Menggunakan Metode Self Organizing Map Clustering Pada Badan Perpustakaan Dan Kearsipan (BAPERSIP) Provinsi Jawa Timur

Ananda Riyandwyana,Erma Suryani,Ahmad MukhlasonDOI: 10.12962/j23373539.v1i1.1128

Bapersip Provinsi Jawa Timur merupakan Badan Pemerintahan yang bertugas untuk melaksanakan penyusunan dan pelaksanaan kebijakan Daerah yang bersifat spesifik yaitu dibidang perpustakaan dan kearsipan, Berdasarkan data perbandingan yang didapatkan dari tah... see more

Self Organizing Map Clustering | Sistem Rekomendasi | Perpustakaan

Jurnal Teknik ITS , 2012

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Clustering Kelompok Swadaya Masyarakat (KSM) dalam Menentukan Kebijakan Bantuan Badan Pemberdayaan Masyarakat di Kota Surabaya dengan Menggunakan Metode Self-Organizing Map (SOM) dan K-Means

Cahyo Aji Nugroho,Rully A Hendrawan,Irmasari HafidzDOI: 10.12962/j23373539.v1i1.1117

Kelompok Swadaya Masyarakat (KSM) adalah bentuk usaha yang dilakukan masyarakat dengan modal terbatas dalam upaya menciptakan lapangan pekerjaan baru, meningkatkan perekonomian rakyat dan mengurangi tingkat pengangguran di masyarakat. Salah satu cara deng... see more

KSM | Klaster | Self-Organizing feature Map | K-Means

Jurnal Teknik ITS , 2012

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Self-Organizing Map Menggunakan Davies-Bouldin Index dalam Pengelompokan Wilayah Indonesia Berdasarkan Konsumsi Pangan DOI : 10.34312/jjom.v3i2.10942 | Abstract views : 27 times

Mujiati Dwi Kartikasari

ABSTRAKKecukupan konsumsi pangan merupakan salah satu penunjang terbentuknya sumber daya manusia unggul yang menjadi fokus kebijakan pembangunan di Indonesia. Agar konsumsi pangan terpenuhi, salah satu cara yang dapat dilakukan adalah melakukan pengelompo... see more

Food Consumption | Cluster | Regional Grouping | Self-Organizing Map | Davies-Bouldin Index

Jambura Journal of Mathematics , 2021

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APPLICATION OF KOHONEN SELF-ORGANIZING MAP TO SEARCH FOR REGION OF INTEREST IN THE DETECTION OF OBJECTS

Victor Skuratov, Konstantin Kuzmin, Igor Nelin, Mikhail Sedankin

Today, there is a serious need to improve the performance of algorithms for detecting objects in images. This process can be accelerated with the help of preliminary processing, having found areas of interest on the images where the probability of object ... see more

pattern recognition | Kohonen self-organizing maps | search and recognition of objects in the image | satellite and radar images | region of interest

EUREKA: Physics and Engineering , 1985

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Village Grouping In Southwest Maluku District Based On Poverty Characteristics Using Self Organizing Maps (SOM) Methods

Monalisa E. Rijoly, F. L. Lumalessil, B. P. Tomasouw

Poverty is one of the fundamental problems that has become the center of attention of the Maluku Provincial government, especially Southwest Maluku Regency. This study aims to provide information to the government about village grouping based on poverty c... see more

The Characteristics of the Poverty | Self Organizing Map.

Zeta - Math Journal , 2020

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Validity Test of Self-Organizing Map (SOM) and K-Means Algorithm for Employee Grouping

Titik Susilowati, Dedy Sugiarto, Is Mardianto

Managing employee work discipline needs to be done to support the development of an organization. One way to make it easier to manage employee work discipline is to group employees based on their level of discipline. This study aims to group employees bas... see more

Employee Work Discipline | K-Means | Clustering | Self Organizing Map | Validation Test.

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2020

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