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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Education Technology Information Social Sciences and Health
Hafizh Ariiq
Universitas Negeri Medan
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Neuroscience Nursing Public Health

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Application of K-Means Clustering for Urban Transportation Pattern Analysis Using Big Data Trip Dataset Tegas Ramadhan; Hafizh Ariiq; Muhammad Dzaki Arjun; Muhammad Ridho Ananda Aditya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2237

Abstract

The rapid growth of urban transportation systems has led to the generation of massive amounts of data, commonly referred to as big data. This study aims to analyze transportation patterns using large-scale data obtained from the NYC Taxi Trip Records. The dataset exhibits key big data characteristics, including volume, velocity, and variety. This research applies the K-Means clustering algorithm to group taxi trip data based on features such as trip distance, fare amount, and trip duration. Several preprocessing techniques are performed, including data cleaning, feature engineering, sampling, and normalization. The optimal number of clusters is determined using the Elbow Method and Silhouette Score. The results show that the dataset can be effectively grouped into three clusters representing distinct transportation patterns. These findings demonstrate the capability of clustering techniques in extracting meaningful insights from large-scale datasets and highlight their potential application in urban transportation planning.
Implementasi Pencadangan Konfigurasi Jaringan Berbasis Python di Lingkungan Lab Virtual: Netmiko dan SSH Hafizh Ariiq; Dedy Kiswanto; Ahmad Zulfan Hafiz Harahap
Journal of Education Technology Information Social Sciences and Health Vol. 5 No. 2 (2026): September 2026
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetish.v5i2.8765

Abstract

Pengelolaan konfigurasi perangkat jaringan secara manual terbukti tidak efisien dan rentan terhadap kesalahan manusia, terutama pada jaringan skala menengah hingga besar. Studi ini merancang dan mengimplementasikan sistem otomatisasi pencadangan konfigurasi jaringan berbasis Python menggunakan pustaka Netmiko melalui SSH dalam lingkungan lab virtual yang dibangun dengan GNS3/EVE-NG. Metode penelitian R&D dengan pendekatan eksperimental digunakan. Sistem ini membangun koneksi SSH ke router Cisco virtual, menjalankan perintah `show running-config`, dan secara otomatis menyimpan output ke dalam file teks dengan stempel waktu. Pengujian pada tiga aspek utama—fungsionalitas sistem, konsistensi pencadangan, dan efisiensi waktu—menunjukkan tingkat keberhasilan 100%, penghematan waktu rata-rata 87% dibandingkan metode manual, dan file pencadangan yang terstruktur dengan baik.
Co-Authors Ahmad Zulfan Hafiz Harahap Dedy Kiswanto Muhammad Dzaki Arjun Muhammad Ridho Ananda Aditya Tegas Ramadhan