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PELATIHAN MICROSOFT OFFICE BAGI SISWA UNTUK MENINGKATKAN SOFTSKILLS DI SMKS MANDIRI BOJONGGEDE Zatin Niqotaini; Nurul Afifah Arifuddin; Neny Rosmawarni
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 7 (2023): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i7.2423-2429

Abstract

Pemerintah memperhatikan pendidikan vokasi, termasuk sekolah menengah kejuruan (SMK). Beberapa program pemerintah tentang sekolah menengah kejuruan sudah diluncurkan dengan tujuannya adalah menghasilkan lulusan yang mampu memenuhi kebutuhan organisasi. Mengetahui aplikasi yang dipakai oleh perkantoran sangat penting bagi lulusan yang akan mengembangkan karir di dunia industri. Tujuan kegiatan pengabdian masyarakat ini adalah memberikan pelatihan dalam meningkatkan softskills kepada siswa SMKS Mandiri Bojonggede dalam menguasai aplikasi komputer seperti Microsoft Office, yang mencakup Microsoft PowerPoint, Microsoft Word, dan Microsoft Excel. Untuk melaksanakan pengabdian masyarakat ini ada beberapa tahapan seperti observasi, koordinasi dengan mitra, pelatihan, dan evaluasi. Pengabdian masyarakat ini diikuti oleh 40 siswa SMKS Mandiri Bojonggede, dan kegiatan pengabdian dilaksanakan selama 2 hari pada tanggal 25 dan 26 Mei 2023. Hal ini ditunjukkan oleh semangat siswa siswi untuk mengikuti pelatihan Microsoft Office. Dengan bantuan kegiatan pengabdian yang telah dilaksanakan, diharapkan siswa SMKS Mandiri Bojonggede mampu mengoperasikan fungsi – fungsi aplikasi perkantoran serta dapat membantu siswa dalam meningkatkan softskills.
Microservices-Based Open-Source Video Conference Deployment for Optimized Online Learning Infrastructure Ananda, Davy Putra; Wicassono, Muhammad Fadhil Ramadhan; Diva, Farhah Safrila; Rasyid, Abdullah; Trahira, Juwita Istiqomah; Rosmawarni, Neny
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16470

Abstract

The rapid advancement of information technology has fundamentally shifted the interaction paradigm in education from conventional methods to hybrid learning models. In this context, the availability of stable, real-time communication platforms has become crucial for maintaining the effectiveness of knowledge transfer. This study evaluates the implementation of Apache OpenMeetings v9.0.0 using Docker and WSL2 to provide efficient video conferencing. Using an experimental methodology, system performance was monitored during active sessions. Results show high resource efficiency with a stable CPU utilization of 4.94% and memory usage of 1.339 GiB. The system achieved a rapid startup velocity of 11.1 seconds, proving that containerization offers optimal isolation with minimal overhead. The study concludes that this architecture provides a lightweight, portable, and cost-effective solution for independent communication infrastructure in educational institutions.
Transformers in Machine Learning: Literature Review Thoyyibah T; Wasis Haryono; Achmad Udin Zailani; Yan Mitha Djaksana; Neny Rosmawarni; Nunik Destria Arianti
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.5040

Abstract

In this study, the researcher presents an approach regarding methods in Transformer Machine Learning. Initially, transformers are neural network architectures that are considered as inputs. Transformers are widely used in various studies with various objects. The transformer is one of the deep learning architectures that can be modified. Transformers are also mechanisms that study contextual relationships between words. Transformers are used for text compression in readings. Transformers are used to recognize chemical images with an accuracy rate of 96%. Transformers are used to detect a person's emotions. Transformer to detect emotions in social media conversations, for example, on Facebook with happy, sad, and angry categories. Figure 1 illustrates the encoder and decoder process through the input process and produces output. the purpose of this study is to only review literature from various journals that discuss transformers. This explanation is also done by presenting the subject or dataset, data analysis method, year, and accuracy achieved. By using the methods presented, researchers can conclude results in search of the highest accuracy and opportunities for further research.