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All Journal Jurnal Pengabdian UntukMu NegeRI Journal of Software Engineering and Information System (SEIS)
Pradipa, Raditya
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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OPTIMISASI ALGORITMA K-MEANS DENGAN METODE REDUKSI DIMENSI UNTUK PENGELOMPOKAN BIG DATA DALAM ARSITEKTUR CLOUD COMPUTING Putra, Bayu Anugerah; Mukhtar, Harun; Br Bangun, Elsi Titasari; Gusnanda, Alris; Maisyarah, Adila; Kurniawan, Muhammad Irgi; Pradipa, Raditya; Ali, Zurrahman Muhammad
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 1 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i1.7616

Abstract

In the era of big data, data clustering becomes a major challenge due to the complexity and huge volume of data. The K-means algorithm is one of the clustering techniques that is often used due to its simplicity. However, K-means faces difficulties in handling high-dimensional and large-volume data. This study proposes an optimization of the K-means algorithm using the Principal Component Analysis (PCA) dimensionality reduction method to improve the efficiency and accuracy of big data clustering in cloud computing architecture. The KDD Cup 1999 dataset is used to test this method. The dataset undergoes pre-processing and dimensionality reduction using PCA, then K-means clustering is applied. The clustering results are evaluated using the Silhouette Score and Davies-Bouldin Index. The implementation is carried out in the Google Colab environment to utilize cloud computing resources. The results show that dimensionality reduction using PCA significantly reduces computational complexity and improves clustering quality. This method is effective in clustering big data, making it an efficient solution for data clustering in cloud computing architecture.
Penerapan Teknologi Rocket Stove untuk Mengurangi Polusi Pembakaran Sampah di Kampung Merangkai Pradipa, Raditya; Gunawan, Rahmad; Alfiah Insani Amin, Andi Nur; Yuliskania, Aisyara; Tania, Manzilah Ditiara; Harmawan, Muhamad Rizki; Jasmin, Muhammad Iqbal; Nugroho, Altaric; Fadilla, Niken Rahma; Vania, Azra Gusti; Avicenna, Achyar Zein; Nofrial, Nofrial; Razkia, Binta; Nadira, Besti Zahratul
Jurnal Pengabdian UntukMu NegeRI Vol. 9 No. 3 (2025): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v9i3.10343

Abstract

Ineffective plastic waste management remains a significant problem in rural communities, particularly due to traditional burning practices that generate air pollution, odors, and health risks. The Muhammadiyah ‘Aisyiyah Community Service Program (KKNMAs) in Merangkai Village, Dayun District, Siak Regency aimed to provide an alternative solution through the application of appropriate technology in the form of a rocket stove. The implementation method consisted of preparation (literature study, field observation, and design), execution (socialization, construction of a rocket stove unit, and technical training), and evaluation (monitoring, interviews, and design improvements). The results indicated that the rocket stove reduced smoke and odor emissions by 60–80% compared to traditional burning, improved efficiency in processing dry waste, and encouraged active community participation in environmental management. Success factors included technology design, support from local government, and community awareness, although the limited number of units remained a challenge. This program demonstrated that rocket stove technology offers a sustainable small-scale waste management solution with potential replication in other rural areas.
Co-Authors Alfiah Insani Amin, Andi Nur Ali, Zurrahman Muhammad Avicenna, Achyar Zein Bayu Anugerah Putra Br Bangun, Elsi Titasari Fadilla, Niken Rahma Gunawan, Rahmad Gusnanda, Alris Harmawan, Muhamad Rizki Harun Mukhtar Jasmin, Muhammad Iqbal Kurniawan, Muhammad Irgi Maisyarah, Adila Nadira, Besti Zahratul Nofrial . Nugroho, Altaric Razkia, Binta Tania, Manzilah Ditiara Vania, Azra Gusti Yuliskania, Aisyara