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All Journal KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Journal on Pustaka Cendekia Informatika
Kelvin Andrean
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice 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.
PENINGKATAN LITERASI DIGITAL KREATIF SISWA MELALUI PEMBUATAN ANIMASI INTERAKTIF BERBASIS AI DI SMK PKP 1 JIS Kelvin Andrean; Jiyan Suhada; Hari Setyawan
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This Community Service (PkM) activity is motivated by the challenges faced by Vocational High School (SMK) students in dealing with the development of Artificial Intelligence (AI) in the creative sector. The main problems identified at SMK PKP 1 JIS are competency silos between departments (DKV, RPL, and TKJ) and low efficiency in the creative pre-production phase. The aim of this activity is to increase students' Creative Digital Literacy (LDK) through an animation production workflow integrated with AI technology. The method used is Project-Based Learning (PBL) through workshops on using ChatGPT for script ideation and the Animaker platform for visual production and Text-to-Speech features. The results of the activity show a significant increase in content production efficiency and cross-disciplinary collaboration. The conclusion of this program is that the appropriate use of AI can equip students to become critical, ethical, and competitive technology users in the digital industry. Keywords: Creative Digital Literacy; Interactive Animation; Artificial Intelligence; Project-Based Learning.
Peningkatan Pemahaman Teknologi Kecerdasan Buatan melalui Pelatihan AI Generatif pada SMK AL-MUHAJIRIN Depok Jiyan Suhada; Hary Setyawan; Kelvin Andrean
Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Vol. 3 No. 2 (2026): April: Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bersama.v3i2.3210

Abstract

The rapid development of Artificial Intelligence (AI) technology requires an improvement in digital literacy and skills among students, particularly at the vocational high school level. However, many students still lack sufficient understanding of the basic concepts and practical applications of generative AI in learning. This Community Service Program (Pengabdian kepada Masyarakat/PKM) aims to enhance students’ understanding of AI technology through generative AI training at SMK Al-Muhajirin Depok. The methods used in this program include interactive lectures, demonstrations of generative AI applications, and hands-on practice sessions. The activity was attended by 30 students and supported by the school management. The results indicate a significant improvement in students’ understanding of generative AI concepts and their ability to apply the technology in a simple learning context. In addition, students gained awareness of the ethical use of AI in an appropriate and responsible manner. Therefore, this PKM activity contributes positively to improving students’ digital literacy and readiness to face technological advancements in the modern era.
Co-Authors Hari Setyawan Hary Setyawan Jiyan Suhada