Analisis dan Pemetaan Jumlah Penumpang Kereta Api di Indonesia Menggunakan Metode Statistik Deskriptif dan K-means Clustering
Journal Title: Jurnal Mantik - Year 2019, Vol 3, Issue 2
Abstract
The development of the population in Indonesia continues to increase, which will require more transportation facilities. PT. Kereta Api Indonesia (KAI) is one of the means of transportation in Indonesia. At present the railroad transportation facilities in Indonesia are still not comprehensive, the regions that have railroad transportation facilities are Java (Jabodetabek and outside Jabodetabek), and Sumatra. By taking data on the number of train passengers from the Central Statistics Agency (BPS), the analysis and mapping of the number of train passengers using descriptive statistics and K-means clustering was carried out in this study. This study produced 3 clusters in which each cluster has a measuring value. Cluster 0 is medium, cluster 1 is high, and cluster 2 is low. Calculated using k-means clustering produces a cluster of 0 there are 63, cluster 1 there is 47, and cluster 2 there are 46 with an accuracy of about 97.9%, and calculated using descriptive statistics to produce cluster 0 there are 108, cluster 1 there is 34, and cluster 2 exists 14 with an accuracy of about 93.6%
Authors and Affiliations
Benny Wijaya, Tresna Fahrudin, Aryo Nugroho
Algoritma Support Vector Machine Untuk Klasifikasi Sikap Politik Terhadap Partai Politik Indonesia
The use of social media that is increasingly easy and affordable becomes a new forum for Indonesian people to express their thoughts freely. Included in the preparation period for a democratic party held every five years...
IMPLEMENTASI APLIKASI SISTEM INFORMASI INVENTORY DATA BARANG EKSPOR PADA PT. HARVEST GLOBAL NIAGA
In the current information system condition PT. Harvest Global Niaga is less than a maximum in searching and inputting data on exported goods. Difficulty finding data items because the existing data processing system is...
PENGARUH E-SERVICE QUALITY TERHADAP E-LOYALTY MELALUI E-SATISFACTION (STUDI PADA PELANGGAN TOKO ONLINE SHOPEE DI KOTA MEDAN)
The research objective is to analyze the results of e-quality services for e-loyalty through customer e-satisfaction at Shopee's online store in Medan City. The study was conducted in Medan City on 135 Shopee store custo...
ANALISA PERBANDINGAN METODE ANP DAN SAW DALAM MENENTUKAN MAHASISWA TERBAIK
Perkembangan teknologi perangkat keras dan perangkat lunak saat ini sangat pesat, dan bahkan metode komputasi juga ikut berkembang. Salah satu metode komputasi yang cukup berkembang saat ini adalah metode Sistem Pendukun...
Penentuan Peringkat Pelanggan Terbaik dengan Metode Weighted Product (Studi Kasus di PT.Asia Raya Foundry)
Pelanggan merupakan bagian terpenting dalam memajukan perusahaan bidang jasa maupun barang, oleh karena itu perlu perhatian khusus dalam menganalisis pelanggan. Analisis ini berguna oleh bagian marketing untuk memudahkan...