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Penguatan Digital Marketing Berbasis Artificial Intelligence Bagi Produk Lokal UMKM Fatihanursari Dikananda; Edi Wahyudin; Odi Nurdiawan; Rudi Kurniawan
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 5 : Juni (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in regional economic development but continue to face challenges in implementing digital marketing strategies. This community service program aimed to improve MSMEs' capabilities through mentoring on Artificial Intelligence (AI)-based digital marketing for five MSMEs in Cirebon City. The implementation included needs assessment, digital marketing training, AI utilization workshops, implementation assistance, and monitoring and evaluation. The results demonstrated improvements in social media management, content planning, AI-assisted copywriting, and digital promotional activities. The program enhanced participants' digital competencies and supported sustainable improvements in the competitiveness of local products.
Pengembangan Proyek Mini Automasi Workflow Berbasis N8N Untuk Mendukung Inovasi Digital Masyarakat Bani Nurhakim; Rudi Kurniawan; Rifki Hermawan; Muhammad Khoerul Ikhwan
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 : Juni (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Community service activities are carried out as an effort to increase the digital competence of Kuningan Regency Vocational School students in facing the development of the modern digital industry. This activity was carried out on May 23 2026 involving participants from several partner schools, namely SMKN 1 Kuningan, SMKN 2 Kuningan, SMK Muhammadiyah Kuningan, SMK Pertiwi Kuningan, and SMK Yamsik Kuningan. Implementation of activities uses a practice-based workshop approach and project-based learning. The training material includes basic concepts of workflow automation, digital system integration, use of the n8n platform, implementation of triggers and actions, as well as development of mini projects based on user needs. Participants gain hands-on experience in building simple workflow automation using Telegram integration, email, Google Sheets, and digital forms. The results of the activity showed an increase in participants' understanding of the concept of workflow automation and the implementation of digital service integration. Participants succeeded in developing various mini projects such as automatic notification systems, automatic email sending workflows, integration of digital forms with spreadsheets, and automation of digital data management. The hands-on practice approach provides a more applicable learning experience and helps improve participants' creativity, problem solving abilities and digital technology skills. Evaluation of activities is carried out through observation, assessment of mini-project results, reflective discussions, and participant satisfaction questionnaires. The evaluation results show that the level of participant satisfaction is in the very good category with a satisfaction percentage of more than 90%. Participants assessed that practice-based training methods and mentoring provide effective learning experiences that are relevant to the needs of the digital industry. In general, this community service activity succeeded in achieving the planned program targets and made a positive contribution to strengthening digital literacy and developing technological innovation in the vocational education environment in Kuningan Regency.
Peningkatan Akurasi Klasifikasi Tingkat Kesejahteraan Keluarga di Desa Dukuhbadag Menggunakan Algoritma Decision Tree Taufik Hidayat; Rudi Kurniawan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 1 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No1.pp102-109

Abstract

The level of family welfare in Dukuhbadag Village, Kuningan Regency, perhaps stems from the desire to understand and discover the elements that contribute to the level of family welfare in the area. The core problem in DukuhBadag Village is that it does not yet have an optimal assessment method to ensure the welfare status of the family. The methodology used namely the Decision Tree Algorithm, was chosen as a tool to provide potential future welfare decisions by applying predictions to guarantee that the information depends on the current collection of data types. This research aims to increase the accuracy of the classification of family welfare levels in the village, by applying the Decision Tree algorithm. The test results show that the application of the Decision Tree algorithm succeeded in increasing the accuracy of the classification of family welfare levels in Dukuhbadag Village, by achieving an accuracy of 72.43%. By predicting the condition of family welfare more accurately, it is hoped that this research can provide valuable information regarding the status of family welfare. This information can be the basis for improving development policies at the village level, ensuring more appropriate and effective aid allocation.