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All Journal Jurnal Pengabdian UntukMu NegeRI ILKOM Jurnal Ilmiah JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Software Engineering and Information System (SEIS)
Br Bangun, Elsi Titasari
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Journal : Journal of Software Engineering and Information System (SEIS)

 1 
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.
KLASIFIKASI MAKANAN BERDASARKAN NILAI GIZI MENGGUNAKAN ALGORITMA RANDOM FOREST DAN TEKNIK SMOTE Br Bangun, Elsi Titasari; Bayu Anugerah Putra; Aryanto
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9725

Abstract

Classifying food based on nutritional content is essential for developing personalized dietary recommendation systems and promoting healthier eating habits. This study aims to construct a food classification model using the Random Forest algorithm combined with the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance in the dataset. The dataset includes various nutritional attributes such as calories, protein, fat, carbohydrates, fiber, sugar, sodium, and cholesterol, along with additional information such as food category and meal time. After preprocessing, the data were split into training and testing sets, with SMOTE applied to the training data to improve class representation. The model was trained using Random Forest and evaluated using accuracy, precision, recall, and F1-score. The results show that the model achieved an accuracy of 83.35% and an average F1-score above 0.80, with the best performance observed in majority classes. The confusion matrix analysis indicates that most predictions were accurate, although misclassifications occurred among classes with overlapping nutritional values. Protein, calories, and carbohydrates were identified as the most influential features in the classification process. These results show that combining Random Forest and SMOTE works well for creating food classification systems using nutritional data and could be useful in apps for diet recommendations and managing nutrition.
PERANCANGAN SISTEM INFORMASI LAYANAN SERVICE AC PADA PT.TEKNINDO ABADI PRATAMA BERBASIS WEB Br Bangun, Elsi Titasari; Luthfi, Fadhil Arvia; Sukesi, Reny; Arlen, M. Revanda; Asral, M. Zacky; Mikhraj, Ubaidillah; Aulia, Vonny
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 1 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i1.10342

Abstract

The development of information technology plays an important role in improving the efficiency of business processes, including in the service sector. PT Teknindo Abadi Pratama, as an air conditioning (AC) service provider, faces obstacles in manual recording, managing technician schedules, and preparing transaction reports that are not yet optimal. Therefore, this study aims to design a web-based AC service information system that is able to manage customer data, simplify technician scheduling, and present transaction reports in a structured manner. The system development method used is the Waterfall model through the stages of needs analysis, system design, implementation, and testing. The results of the study are in the form of a web-based system prototype that can improve service speed, data recording accuracy, and technician schedule management efficiency. With this system, the operational processes of PT Teknindo Abadi Pratama become more computerized, thus supporting improved service quality to customers and more accurate managerial decision making. Perkembangan teknologi informasi berperan penting dalam meningkatkan efisiensi proses bisnis, termasuk pada sektor pelayanan jasa. PT Teknindo Abadi Pratama sebagai penyedia jasa service pendingin udara (AC) menghadapi kendala dalam pencatatan manual, pengelolaan jadwal teknisi, serta penyusunan laporan transaksi yang belum optimal. Oleh karena itu, penelitian ini bertujuan merancang sistem informasi layanan service AC berbasis web yang mampu mengelola data pelanggan, mempermudah penjadwalan teknisi, dan menyajikan laporan transaksi secara terstruktur. Metode pengembangan sistem yang digunakan adalah dengan model Waterfall melalui tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Hasil penelitian berupa prototipe sistem berbasis web yang dapat meningkatkan kecepatan pelayanan, akurasi pencatatan data, serta efisiensi manajemen jadwal teknisi. Dengan adanya sistem ini, proses operasional perusahaan PT Teknindo Abadi Pratama menjadi lebih terkomputerisasi, sehingga mendukung peningkatan kualitas layanan kepada pelanggan dan pengambilan keputusan manajerial secara lebih tepat.
Co-Authors Abednego Dwi Septiadi Aina Musdholifah Ali, Zurrahman Muhammad Alris Gusnanda Amran, Hasanatul Fu'adah Anjani, Sarah Arlen, M. Revanda Aryanto Asral, M. Zacky Aulia, Vonny Bayu Anugerah Putra Dian Utami Doni Winarso, Doni Edo Arribe, Edo Fajar, Abdul Malik Fakhira Frisya Ramadhani Fauzan, M. Ilham Fitri Handayani Gusnanda, Alris Hafsari, Rizka Hamda, Hizbullah Hanum Salsabila Harun Mukhtar Jannah, Ghina Roudhotul Jihan Aulia Khotomi, Haikal Kurniawan, Muhammad Irgi Luthfi, Fadhil Arvia Maisyarah, Adila Mikhraj, Ubaidillah Nada, Aina Khatrun Pradipa, Raditya Pratama, Randy Putri, Yohana Dwi Rahmad Firdaus Ramadhani, Eka Rico Apriandika Risnal Diansyah, Risnal Sapuletea, Chrissandy Septiana Srinandini Soni Sukesi, Reny Syahril Vaio H, Rayhan Di Wide Mulyana Wijaya, Setiawan Ardi Yudha Islami Sulistya