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

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Pemanfaatan Desain Grafis dalam Pembuatan Iklan Digital untuk Meningkatkan Brand Awareness di SMK Media Informatika Raffa Nurprasetyo Araya; Indra Bagoes Muafa; Firmansyah; Athila Defian Rizkimu; Ahmad Taher
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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The continuous development of digital technology has significantly influenced how educational institutions present and promote their identity. One proven strategy is the application of graphic design in developing digital advertisements to strengthen brandawareness. This Community Engagement (PKM) initiative was designed to enhance the knowledge and technical abilities of students at SMK Media Informatika, especially those majoring in Multimedia, in producing compelling and effective digital advertisements. The implementation involved visual design workshops, hands-on promotional content creation, and assessment of student projects. The outcome of this programindicated a notable improvement in students' skills in applying design principles and in their understanding of the role of visual identity in educational promotion. Moreover, the activity fostered student engagement in creatively representing their school through digital platforms. This initiative is expected to serve as a replicable model for empowering students in digital promotional practices at other educational institutions.
Analisis Kinerja Algoritma Naive Bayes dalam Klasifikasi Data Kategorikal Prediksi Keputusan Bermain Tenis Berdasarkan Cuaca Feriandri Lesmana; Athila Defian Rizkimu; Muhamad Ridwan Nurrulloh; Maulana Farras Fathurrahman; Abdul Habib Hasibuan; 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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Decision-making based on weather factors is often subjective and inconsistent. This research applies data mining classification methods to build an objective predictive model regarding the decision to play tennis based on weather conditions. The objective of this study is to analyze the performance of the Naive Bayes algorithm in predicting this decision. The methodology involves applying the Naive Bayes algorithm to the classic "Play Tennis" dataset, which consists of 14 instances with four categorical predictor attributes: outlook, temperature, humidity, and wind. The modeling and evaluation process was conducted visually using the Altair AI Studio (RapidMiner) platform, employing the cross-validation technique to test model stability. The test results show an average model accuracy of 57.14%. A deeper analysis of the confusion matrix reveals that the model has a strong bias towards predicting the 'Yes' class, yet is very weak in identifying the 'No' class (20.00% recall). Specifically, the model exhibits a high number of False Positive errors, where 4 out of 5 'No' cases were misclassified. In conclusion, the Naive Bayes model in its current configuration is not yet fully reliable for practical application due to its biased performance. This study recommends further optimization, such as applying data balancing techniques or using more complex alternative algorithms, to significantly improve predictive performance.
Co-Authors Abdul habib Hasibuan Ahmad Taher Feriandri Lesmana Firmansyah Indra Bagoes Muafa Maulana Fansyuri Maulana Farras Fathurrahman Muhamad Ridwan Nurrulloh Raffa Nurprasetyo Araya