DATA VISUALIZATION OF INTERNET USAGE IN THE JABODETABEK AREA

Evaristus Didik Madyatmadja(1), An Nisa’a Nuramalia(2), Lusi Kusumawati(3), Syahlaa Perdina Jamil(4), Wahyu Kusumawardhana(5*),

(1) Scopus ID [56010497200] Universitas Bina Nusantara
(2) Universitas Bina Nusantara
(3) Universitas Bina Nusantara
(4) Universitas Bina Nusantara
(5) Universitas Bina Nusantara
(*) Corresponding Author

Abstract


The purpose of this study is to analyze and visualize internet usage data in the Jabodetabek area for the last 3 years, namely 2017, 2018, 2019 using quantitative methods which will display data per city and per year which is processed into the percentage of internet usage in the area. In addition, we also used the K-means clustering method as a method of grouping data and we chose to use the age variable for analysis. Along with the development of information technology, governments in various regions have also begun to expand the circulation of the internet to broaden people's insights and disseminate information more easily. However, in the current situation and conditions, it is felt that the distribution of internet use, especially in the Jabodetabek area, is still not optimal. Even though the area is a metropolitan city as the center of urban community activity. Therefore, through data on the percentage of Jabodetabek areas that access the internet, it can be seen as one of the factors for the government to be able to increase the performance of the internet evenly. The data will be visualized using the Tableau application in graphical form to facilitate information delivery to users in reading the results of data analysis.

Keywords


Data Visualization, Internet Usage, Jabodetabek

Full Text:

PDF

References


Abyadl, M. F., Sumarno, -, & Indrianawati, -. (2018). Evaluasi Pembangunan Sistem Visualisasi Data (Studi Kasus: Pengelolaan Data pada Kementerian Dalam Negeri Indonesia). Reka Geomatika, 2016(2), 80–89. https://doi.org/10.26760/.v2016i2.1855

Arifin, Z., & Sugiharto, A. (2013). Rancang Bangun Sistem Business Intelligence Universitas Sebagai Pendukung Pengambilan Keputusan Akademik. Jurnal Sistem Informasi Bisnis, 3(1), 30–40. https://doi.org/10.21456/vol3iss1pp30-40

Ariyanti, S. (2015). Studi Perencanaan Jaringan Long Term Evolution Area Jabodetabek Studi Kasus PT. Telkomsel. Buletin Pos Dan Telekomunikasi, 12(4), 255. https://doi.org/10.17933/bpostel.2014.120402

Asroni, R. A. (2015). Penerapan Metode K-Means Untuk Clustering Mahasiswa Berdasarkan Nilai Akademik Dengan Weka Interface Studi Kasus Pada Jurusan Teknik Informatika UMM Magelang. Ilmiah Semesta Teknika, 18(1), 76–82. https://doi.org/10.1038/hdy.2009.180

Basis Data Pusat Pengembangan Kawasan Perkotaan. (2015). Metropolitan Jakarta, Bogor, Depok, Tangerang, Puncak, Cianjur. Bpiw.Pu.Go.Id.

Budiyantara, A., Irwansyah, I., Prengki, E., Pratama, P. A., & Wiliani, N. (2020). Komparasi Algoritma Decision Tree, Naive Bayes Dan K-Nearest Neighbor Untuk Memprediksi Mahasiswa Lulus Tepat Waktu. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 5(2), 265–270. https://doi.org/10.33480/jitk.v5i2.1214

Center, C. T. (2015). Tableau Classroom Training. Cybertrend Training Center.

Dhuhita, W. (2015). Clustering Menggunakan Metode K-Mean Untuk Menentukan Status Gizi Balita. Jurnal Informatika Darmajaya, 15(2), 160–174.

Evaristus Didik Madyatmadja, An Nisa’a Nuramalia, L. K., & Syahlaa Perdina Jamil, W. K. (2021). Data Visualization Of Internet Usage In The Jabodetabek Area.

Hartama, D. (2018). Analisa Visualisasi Data Akademik Menggunakan Tableau Big Data. Jurasik (Jurnal Riset Sistem Informasi Dan Teknik Informatika), 3(3), 46. https://doi.org/10.30645/jurasik.v3i0.65

Herliana, A., & Rasyid, P. M. (2016, A. (2016). Sistem Informasi Monitoring Pengembangan Software Pada Tahap Development Berbasis Web. Jurnal Informatika, 43.

Irmayani, W. (2021). Visualisasi Data Pada Data Mining Menggunakan Metode Klasifikasi. Ix(I), 68–72.

Kristina, E. (2015). Pola Penggunaan Internet Oleh Kalangan Remaja Di Kabupaten Semarang. Pola Penggunaan Internet Oleh Kalangan Remaja Di Kabupaten Semarang Ester Krisnawati, 319–350.

Noveriyanto, B., Nisa, L. C., Bahtiar, A. S., Sahri, S., & Irwansyah, I. (2018). E-Government Sebagai Layanan Komunikasi Pemerintah Kota Surabaya (Studi Kematangan e-government Sebagai Layanan Komunikasi Government to Government, Government to Citizen, Government to Business). Profetik: Jurnal Komunikasi, 11(1), 37. https://doi.org/10.14421/pjk.v11i1.1371

Qolbi, A. A. (2016). Penerapan Metode Clustering K-Means Terhadap Dosen Berdasarkan Publikasi Jurnal Nasional dan Internasional. 1–69.

Rahmawati, L., Widya Sihwi, S., & Suryani, E. (2016). Analisa Clustering Menggunakan Metode K-Means Dan Hierarchical Clustering (Studi Kasus : Dokumen Skripsi Jurusan Kimia, Fmipa, Universitas Sebelas Maret). Jurnal Teknologi & Informasi ITSmart, 3(2), 66. https://doi.org/10.20961/its.v3i2.654

‪Richard Qi Li. (2020). Overview of Data Visualization. In Embodying Data. https://doi.org/10.1007/978-981-15-5069-0_2‬

Rustiadi, E., Pribadi, D. O., Pravitasari, A. E., Indraprahasta, G. S., & Iman, L. S. (2015). Jabodetabek Megacity: From City Development Toward Urban Complex Management System. July 2016, 421–445. https://doi.org/10.1007/978-4-431-55043-3_22

Saepuloh, D. (2020). Visualisasi Data Covid 19 Provinsi Dki Jakarta Menggunakan Tableau Data Visualization Of Covid 19 Province Dki Jakarta Using Tableau ((pp. 55–64). Jurnal Riset Jakarta.

Yusup, P. M., Komariah, N., Prahatmaja, N., & CMS, S. (2019). Pemanfaatan Internet Untuk Penghidupan Di Kalangan Pemuda Pedesaan. Baca: Jurnal Dokumentasi Dan Informasi, 40(2), 217. https://doi.org/10.14203/j.baca.v40i2.491




DOI: https://doi.org/10.37365/jti.v7i1.108

Refbacks

  • There are currently no refbacks.


Slot Gacor

mahjong ways scatter hitam

slot thailand