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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal on Pustaka Cendekia Informatika
Kelvin Andrean
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Analisis Kinerja Jaringan Internet di Lingkungan Akademik dengan Pendekatan Quality of Service (QoS): Studi Kasus di Universitas Pamulang Jiyan Suhada; Hari Setyawan; Kelvin Andrean
Journal on Pustaka Cendekia Informatika Vol. 3 No. 1 (2025): Journal on Pustaka Cendekia Informatika: Volume 3 Nomor 1 February - May 2025
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v3i1.83

Abstract

The availability of reliable and high-quality internet networks is critical in supporting the learning process in higher education institutions. This study aims to analyze the quality of the internet network at Universitas Pamulang using the Quality of Service (QoS) method to improve learning performance. The research was conducted by measuring QoS parameters, including throughput, delay, packet loss, and jitter at various network points within the campus area. Data collection methods were carried out using network measurement tools and simulations of various network load scenarios. The research results show that the internet network performance at Universitas Pamulang varies significantly in quality across different locations. The measurement results indicate an average throughput of 4.94 bps, an average delay of 0 ms, an average jitter of 0, and an average packet loss of 11.46, based on TIPHON standards. Overall, the QoS index of the internet network at Universitas Pamulang is 2.75. Recommendations for improvements include increasing bandwidth capacity, optimizing network configuration, and implementing more efficient traffic management
Penerapan K-Means Klustering dengan Algoritma Kluster Dinamik untuk Meningkatkan Kualitas Kluster pada Segmentasi Dokter Potensial: Studi Kasus PT. XYZ: Penelitian Hari Setyawan; Jiyan Suhada; Kelvin Andrean
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4781

Abstract

The traditional K-Means algorithm has a significant weakness in its reliance on random cluster center initialization, which often results in unstable and suboptimal segmentation. This study aims to improve the quality of potential physician segmentation by proposing the integration of a dynamic clustering algorithm into the K-Means framework. The applied method is K-Means augmented with a dynamic clustering algorithm, using RFM (Recency, Frequency, Monetary) attributes derived from physician profile data. Cluster quality is evaluated using the Davies- Bouldin Index (DBI) and Purity. The proposed approach successfully improved segmentation accuracy by 25.15% compared to traditional K-Means. Quantitative analysis shows a significant improvement in cluster quality, indicated by a decrease in the DBI value from 0.846 to 0.411. Furthermore, the Purity value increased from 0.5294 to 0.7647, indicating improved cluster homogeneity. These results demonstrate that the dynamic clustering algorithm effectively addresses initialization sensitivity by iteratively adjusting cluster configurations based on inter- cluster and intra-cluster similarity. The final segmentation yielded four clusters of potential physicians with distinct RFM characteristics, enabling more targeted marketing strategies. The implementation of this model provides strategic benefits for pharmaceutical companies, including the ability to allocate promotional and sponsorship resources more efficiently based on a more accurate and reliable mapping of potential physicians.
Co-Authors Hari Setyawan Jiyan Suhada