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All Journal Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia JRIIN :Jurnal Riset Informatika dan Inovasi
Ramdoni
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Implementasi Private Cloud Storage Berbasis Debian Server Menggunakan Nextcloud Sebagai Sentralisasi Penyimpanan Data Pada CV Unelma Pictura Ramdoni; Sahrul Bahri, Dede
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 4 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The growth of digital companies such as Unelma Pictura has created a demand for efficient and secure data storage systems. Currently, data exchange activities rely heavily on personal devices, WhatsApp groups, and physical media such as flash drives and external hard drives. This leads to decentralized file management, low efficiency, and high data security risks. Therefore, a solution in the form of centralized data storage is needed to enhance productivity and security. This study implements Private Cloud Storage based on Nextcloud on Linux Debian as a centralized data storage solution. The method employed follows the Waterfall system development model, which includes analysis, design, installation, configuration, and system testing. Data collection techniques used in this research consist of observation, interviews, and literature review. The system is designed to be accessible through a local network via an IP address or a public network using a custom domain. The test results indicate that the implementation performs well and meets the company’s needs. Server testing with 2–4 PCs shows CPU usage increases from 22.9% to 45.1% during upload and from 3.1% to 7.2% during download, while memory usage remains stable. This system has proven to enhance efficiency, security, and productivity in the company's data management.
Implementasi Algoritma K-Means: Analisis Klasterisasi Emisi Metana Global Berdasarkan Sektor Dan Negara Menggunakan RapidMiner Faqih Alharits, Muhammad; Ramdoni; Maulana Ar Rasyid, Hanif; Saefullah, Khalid; Mardika Maulana, Arjuna
Jurnal Riset Informatika dan Inovasi Vol 2 No 11 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Penelitian ini bertujuan untuk menganalisis pola emisi metana global berdasarkan sektor dan negara menggunakan algoritma K-Means clustering. Data yang digunakan adalah dataset emisi metana global dari Kaggle, yang mencakup informasi tentang emisi, sektor, sub-sektor, dan negara. Melalui penerapan algoritma K-Means, negara-negara dikelompokkan berdasarkan kesamaan pola emisi metana mereka. Hasil analisis menunjukkan kelompok negara dengan karakteristik emisi yang berbeda, yang memungkinkan identifikasi prioritas tindakan mitigasi. Penelitian ini memberikan wawasan penting bagi pembuat kebijakan dalam upaya pengendalian emisi metana global.
Co-Authors Faqih Alharits, Muhammad Mardika Maulana, Arjuna Maulana Ar Rasyid, Hanif Saefullah, Khalid Sahrul Bahri, Dede