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Pemanfaatan Media Sosial Dalam Digital Marketing Amar Naufal Al-kharits; Nazar Maulana; Muhamad Bustomi; Eko Andri Wibowo; Ageng Samudro Ndiko Laksono
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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Abstract

The advancement of information technology has transformed the way products are marketed globally, with social media now serving as one of the primary tools in digital marketing strategies. This Community Service Program (PKM) aimed to educate students at SMK YMIK Joglo on how to effectively utilize social media to support digital marketing, whether for personal or business purposes. Held on November 20, 2024, the program employed an interactive approach that included lectures, discussions, case simulations, and hands-on practice using digital platforms such as Instagram and TikTok. Topics covered included an introduction to digital marketing, the fundamentals of personal branding, techniques for creating engaging content, and the use of visual design tools like Canva. The implementation results showed that participants experienced improved understanding of digital marketing concepts and were able to independently create appealing promotional content. The high level of participation during Q&A and practical sessions demonstrated that interactive methods are highly effective for delivering material. This program is expected to serve as a starting point for fostering a digital entrepreneurial spirit among students and encouraging the productive use of social media. Support from the school, supervising lecturer, and guest speakers played a vital role in the program's success. The activity also lays a foundation for future initiatives aimed at enhancing digital literacy in vocational education environments.
Analisis Faktor Cuaca Terhadap Keputusan Bermain Badminton Menggunakan Algoritma Naive Bayes Gusti Alfian; Ageng Samudro Ndiko Laksono; Ardiansyah; Mahis Duhan; Raffa Nurprasetyo Araya; 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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Abstract

By utilizing the Naive Bayes algorithm as a classification method, this study investigates how weather factors influence a person's decision to play badminton. The Badminton dataset, including attributes such as weather conditions, air temperature, humidity levels, and wind conditions, was collected and processed using RapidMiner software. The preprocessing stage involved data cleaning and transforming the attributes to be suitable for analysis. To predict the decision to play badminton based on weather conditions, the Naive Bayes algorithm was chosen due to its capability to compute class probabilities easily and effectively.This study found that weather factors significantly influence a player's decision to play badminton, and the Naive Bayes model demonstrated the ability to make reasonably accurate predictions. In conclusion, the Naive Bayes algorithm can be effectively used to predict players' decisions in playing badminton