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Penerapan E-Commerce sebagai Strategi Peningkatan Penjualan Produk pada PT Daehsan Indonesia : Cabang Medan Siska Ade Putry; Furqan Khalidy
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2025): November : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i4.2385

Abstract

, it has driven very significant changes to the marketing and sales strategies of various companies in the business sector. One of the influential innovations is the implementation of e-commerce (electronic commerce), which allows the buying and selling transaction process to be carried out online through the internet network. E-commerce is not only a means to sell products, but it also plays an important role in expanding market reach, increasing the effectiveness of promotions, and strengthening the relationship between companies and consumers. This study aims to analyze the application of e-commerce as a strategy to increase product sales at PT Daehsan Indonesia Medan Branch. The research method used is qualitative descriptive with data collection techniques through interviews, observations, and documentation of management and distributors involved in the company's digital marketing activities. In addition, this study also reviews the supporting factors and obstacles that arise during the implementation of e-commerce, so that it can provide a comprehensive picture of the extent to which the use of digital platforms affects the increase in sales volume, the expansion of market reach, and the level of customer satisfaction.
Penerapan Algoritma Genetika untuk Rekomendasi Topik Skripsi Berdasarkan Minat dan Kompetensi Mahasiswa Miftah Dwi Lestari; Siska Ade Putry; Weny Syahputri
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 4 (2025): November: Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i4.695

Abstract

The selection of a thesis topic that aligns with students’ interests and competencies often poses a challenge in academic environments. Inappropriate topic selection can lead to decreased motivation and delays in completing the final project. This study aims to develop a thesis topic recommendation system based on a genetic algorithm that considers students’ interests and academic abilities. The data used include grades from core courses, results of research interest questionnaires, and a list of thesis topics provided by academic supervisors. Each topic is represented as a chromosome, while the fitness function is calculated based on the level of compatibility between student attributes and topics. The selection process employs the roulette wheel method, with single-point crossover and random mutation to generate an optimal solution population. The test results show that the recommendation system based on the genetic algorithm achieves an accuracy rate of 86.7%, higher than the keyword-matching method, which only reaches 71.2%. Therefore, this approach is proven effective in assisting students to determine thesis topics that are suitable, objective, and efficient.