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PENERAPAN METODE PROFILE MATCHING DALAM PENEMPATAN PRAKTIK KERJA INDUSTRI BAGI SISWA (STUDI KASUS DI SMKN 4 KOTA BENGKULU) Asyhari, Ahmad; Gunadi Widi Nurcahyo; Yuyu, Yuhandri
RJOCS (Riau Journal of Computer Science) Vol. 9 No. 2 (2023): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v9i2.1779

Abstract

Penempatan Praktik Kerja Industri (PRAKERIN) merupakan bagian penting dalam sistem pendidikan vokasi di Indonesia. Namun, seringkali siswa mengalami kesulitan dalam menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode Profile Matching dalam penempatan PRAKERIN bagi siswa SMKN 4 Kota Bengkulu. Metode Profile Matching digunakan untuk menghubungkan profil siswa dengan profil perusahaan atau tempat PRAKERIN. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan wawancara terstruktur kepada siswa dan pihak perusahaan atau tempat PRAKERIN yang bekerjasama dengan SMKN 4 Kota Bengkulu. Hasil penelitian menunjukkan bahwa metode Profile Matching efektif dalam membantu siswa menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka. Dalam penelitian ini, ditemukan bahwa 80% siswa mendapatkan tempat PRAKERIN yang sesuai dengan profil mereka. Selain itu, metode Profile Matching juga membantu perusahaan atau tempat PRAKERIN dalam memilih siswa yang sesuai dengan kebutuhan mereka. Penelitian ini memberikan manfaat praktis bagi siswa, sekolah, dan perusahaan atau tempat PRAKERIN. Siswa dapat menemukan tempat PRAKERIN yang sesuai dengan minat dan kemampuan mereka, sehingga mereka dapat memperoleh pengalaman yang lebih baik selama PRAKERIN. Sekolah dapat memperoleh informasi tentang profil siswa dan perusahaan atau tempat PRAKERIN, sehingga dapat meningkatkan kualitas penempatan PRAKERIN di masa depan. Perusahaan atau tempat PRAKERIN dapat memperoleh siswa yang sesuai dengan kebutuhan mereka, sehingga dapat meningkatkan kualitas PRAKERIN yang mereka berikan. Kata Kunci: Profile Matching, Penempatan PRAKERIN, Siswa, SMKN 4 Kota Bengkulu, Survei, Wawancara terstruktur.
Pemanfaatan Kecerdasan Buatan Dalam Era Digitalisasi Untuk Mendukung Kompetensi Siswa Mona, Prahasti; Kalsum, Toibah Umi; Sallaby, Achmad Fikri; Asyhari, Ahmad; Dewantara, Dewantara
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.6449

Abstract

Increasing the competency of Vocational High School students must continue to be improved through various strategies as an effort to prepare themselves to be able to compete in the world of work and industry. The aim of implementing this Community Service is to introduce the development of information technology through artificial intelligence in the era of digitalization in an effort to support student competence. The use of artificial intelligence through activities to introduce various artificial intelligence software or technologies is carried out through face-to-face methods which are carried out at SMKN 3 Bengkulu City. The strategy in community service activities is implemented through presentations and presentations involving resource persons by lecturers with assistance provided by students. Furthermore, in addition to presenting the material in the form of a presentation, an interactive dialogue was held with the participants regarding the material presented. Based on the results of implementing Community Service (PKM) activities, it can be concluded that students understand the use of artificial intelligence in supporting student competencies. Furthermore, during the implementation there was interactive interaction through questions from students regarding the development of artificial intelligence technology. This also shows that artificial intelligence in the digitalization era can support the competence of vocational high school students.
Application of the API-Based Gemini AI Model in Predicting Harvest Accuracy and Distribution of Horticultural Result Asyhari, Ahmad; Azhari, Diah; Arif, Hilda Meisya; Nizar, Fahrul Ikhram
SINTA Journal (Science, Technology, and Agricultural) Vol. 6 No. 1 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.6.1.31-36

Abstract

This study explores the integration of the Gemini AI model as an expert system to enhance the accuracy of harvest predictions and the distribution of horticultural products. The main contribution of this research lies in the application of the cutting-edge Gemini AI, which processes real-time environmental data—such as weather conditions, soil moisture, and market demand trends—to generate more accurate harvest time predictions and automated product quality evaluations. Implementation results show a 22% improvement in harvest prediction accuracy compared to conventional methods, an 18% increase in operational efficiency in distribution, and a 15% reduction in post-harvest waste. These findings suggest that AI-based expert systems offer adaptive solutions to the challenges of horticultural crop management and represent a significant innovation in modern agricultural practices.