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Journal : J-COSCIS : Journal of Computer Science Community Service

PELATIHAN PEMROGRAMAN JAVASCRIPT BAGI SISWA SMK INOVASI RIAU Fajrizal; Susi Handayani; Taslim; Walhidayat; Syahril
J-COSCIS : Journal of Computer Science Community Service Vol. 5 No. 1 (2025): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v5i1.22458

Abstract

Pelatihan pemrograman JavaScript ini bertujuan untuk membekali siswa SMK dengan keterampilan yang dibutuhkan untuk menjadi pengembang web yang kompeten. Melalui pendekatan pembelajaran yang berbasis proyek dan didukung oleh tools berbasis android, siswa akan belajar membangun aplikasi web interaktif yang dinamis dan responsif. Materi pelatihan mencakup sintaks JavaScript, manipulasi DOM, event handling, asynchronous programming, dan best practices dalam pengembangan web. Diharapkan melalui pelatihan ini, siswa dapat mengembangkan minat yang berkelanjutan dalam bidang pemrograman dan siap untuk berkontribusi dalam pengembangan industri teknologi informasi di Indonesia.
PELATIHAN PENGENALAN MACHINE LEARNING BAGI SISWA SMK NEGERI 2 PEKANBARU Taslim, Taslim; Susi Handayani; Walhidayat
J-COSCIS : Journal of Computer Science Community Service Vol. 5 No. 2 (2025): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/0r467r09

Abstract

The machine learning training at SMK Negeri 2 Pekanbaru aims to introduce the basic concepts of machine learning, including Python programming and the use of the Scikit-Learn library. In the era of Industry 4.0, skills in artificial intelligence and machine learning are crucial to prepare students to compete in the workforce and technology sectors. This program was conducted through theoretical and practical methods, incorporating discussions, simulations, demonstrations, and assignments. Evaluations were carried out to measure participants' understanding before and after the training, with results showing significant improvement in students' understanding of basic machine learning concepts, such as algorithms and programming tools. Although most participants showed good understanding, some students still need further material reinforcement, especially regarding the application of machine learning in real projects. This training is expected to enhance students' technical skills and open career opportunities in information technology and artificial intelligence fields. With this program, students are expected to acquire foundational skills that are relevant for competing in the increasingly technology-driven global job market.