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Digitalisasi UMKM: Membantu Usaha Kecil Menggunakan Teknologi (Studi Kasus: Desa Melati 2) Muhammad Iqbal Panjaitan; Denni M Rajagukguk; Mamed Rofendi Manalu; Monang Juanda Tua Sihombing
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 02 (2024): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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Abstract

The community service program entitled "Digitalization of MSMEs: Helping Small Businesses Use Technology" aims to increase the capacity of Micro, Small and Medium Enterprises (MSMEs) in utilizing digital technology to optimize operations and expand their market reach. MSMEs play an important role in the Indonesian economy, but often face challenges in adopting digital technology due to limited knowledge and resources. The program involves intensive training and hands-on mentoring on the use of digital technology, including online marketing tools, inventory management systems, and e-commerce platforms. The methods used include practical training sessions, workshops and individual mentoring. Evaluations show that participants experienced significant improvements in their technology understanding, digital skills and business performance. The program recommends the need for continued support and better access to technological resources to ensure the success and sustainability of MSME digitalization in the future.
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Monang Juanda Tua Sihombing; Denni M.Rajagukguk; Muhammad Iqbal Panjaitan; Mamed Rofendi Manalu; Pandi Barita Nauli Simangunsong; Nurmala Sridewi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.