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All Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Journal of Information Technology and Informatics Engineering
Kezia Maruenci
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Pengenalan Software Office Menggunakan Microsoft Office Di SMPN 14 Depok Nandi Adi Nugroho; Adrian Chandra Kusumah; Genta Aldora Leopriandis; Achmad Khautsar Rizaldi; Kezia Maruenci
Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Vol 1 No 1 (2025): Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Publisher : PT Jurnal Cendekia Indonesia

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This Community Service Program (PKM) aims to enhance students’ digital competencies by providing training on the use of social media as a primary platform for digital branding. The activity was carried out at SMKN 04 Kota Tangerang and involved students as active participants. The training materials covered brand identity, content planning, and the importance of visual consistency in building a strong digital presence. The sessions emphasized hands-on practice and interactive participation, particularly in content creation for social media platforms. The training effectively improved students’ understanding and skills in managing social media with a more strategic and creative approach. Participants were able to design content tailored to their target audience and utilize social media as an efficient promotional tool. Despite technical challenges such as limited devices and internet access, these obstacles were managed through schedule adjustments and support from the school. This program provided a valuable contribution to preparing students for digital-era challenges and opened opportunities for independent entrepreneurship. To ensure sustainable impact, similar training sessions are recommended to be held regularly, supported by adequate facilities and post-training online discussion forums. Continuous involvement from schools, government agencies, and the private sector is essential to strengthen the competitiveness of the younger generation in the evolving digital ecosystem.
Pemanfaatan Data Mining untuk Segmentasi Nasabah Kartu Kredit Menggunakan Metode K-Means Intan Pramesta Nurhayati; Helmayana; Adis Tiani; Kezia Maruenci; Yuriana Sari Harahap; Maulana Fansyuri
Journal of Information Technology and Informatics Engineering Vol 1 No 1 (2025): Journal of Information Technology and Informatics Engineering (JITIE)
Publisher : PT Jurnal Cendekia Indonesi

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This study aims to cluster credit card users based on demographic information and card usage behavior using K-Means clustering algorithms. The BankChurners.xlx dataset, which contains over 10,000 customer data, was analyzed using RapidMiner software. The analysis process includes data preprocessing steps, including normalization, attribute selection, and categorical data encoding. The K-Means algorithm is then used to group customers into two clusters. The results of this clustering show the existence of two main segments with different characteristics, where the majority of customers fall into one larger group. Cluster quality assessment using the Davies-Bouldin index shows satisfactory separation results. This result can serve as a basis for strategic decision-making, particularly in designing marketing plans and developing services that are more precise and suited to the characteristics of each customer segment.
Co-Authors Achmad Khautsar Rizaldi Adis Tiani Adrian Chandra Kusumah Genta Aldora Leopriandis Helmayana Intan Pramesta Nurhayati Maulana Fansyuri Nandi Adi Nugroho Yuriana Sari Harahap