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All Journal The IJICS (International Journal of Informatics and Computer Science) Interaksi : Jurnal Pengabdian Kepada masyarakat
Sianturi, Ismail
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions

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Naïve Bayes and Bidirectional Algorithm Analysis: Encoder Representations From Transformers (BERT) to Teachers' Learning Services to Students Based on the Website of SMK Multi Karya School Sianturi, Ismail; Iqbal, Muhammad; Sitorus, Zulham
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 2 (2025): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i2.8968

Abstract

This study analyzes the comparison of two algorithms, namely Naive Bayes and Bidirectional Encoder Representations From Transformers (BERT), for the evaluation of the performance of education personnel at SMK MULTI KARYA This study uses manual calculation methods and the Python application. The results showed that the Naive Bayes algorithm gave very consistent results with accuracy, precision, and recall values of 76.67% both in manual calculations and with Pyton. This indicates that the Naive Bayes algorithm is effective in grouping data on the performance of education personnel. Meanwhile, the Bidirectional Encoder Representations From Transformers (BERT) algorithm shows mixed results, while with Python it reaches 12.00%. There are significant differences in recall values and precision between these two calculation methods. Nevertheless, the performance category "Good Performance Staff" remains the most dominant. The difference in results between manual and python calculations is that Naive bayes is a more stable and consistent method across different platforms, whereas Bidirectional Encoder Representations From Transformers (BERT) shows flexibility but with smaller variation in results. Therefore, in the context of education performance evaluation, NAive bayes are more reliable to produce consistent performance categories, while Bidirectional Encoder Representations From Transformers(BERT) can be an alternative with a fairly high level of accuracy but require further consideration in the interpretation of the results..
Pelatihan Pembuatan Website dan Media Informasi Digital bagi UMKM sianturi, ismail
Interaksi : Jurnal Pengabdian Kepada masyarakat Vol. 3 No. 1 (2026): Februari 2026 : Forthcoming
Publisher : PT. Ndruru Jaya Mandiri

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Abstract

Pelatihan pembuatan website dan media informasi digital bagi UMKM di Desa Ujung Labuhan bertujuan untuk meningkatkan literasi digital, keterampilan teknologi, serta kemampuan promosi pelaku usaha dalam menghadapi perkembangan ekonomi berbasis digital. Kegiatan ini dilatarbelakangi oleh masih terbatasnya pemanfaatan teknologi informasi oleh UMKM, khususnya dalam penggunaan website sebagai media promosi dan penyebaran informasi usaha. Metode pelaksanaan meliputi tahap identifikasi kebutuhan, perencanaan program, pelaksanaan pelatihan, evaluasi, dan tindak lanjut. Materi pelatihan mencakup pengenalan konsep website, praktik pembuatan website sederhana, pengelolaan konten digital, serta pemanfaatan media informasi digital sebagai sarana pemasaran. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan keterampilan peserta dalam membuat serta mengelola website usaha. Peserta mampu menyusun profil usaha, menampilkan produk, dan mencantumkan informasi kontak secara digital. Selain itu, peserta juga mulai memahami pentingnya strategi promosi berbasis teknologi untuk memperluas jangkauan pasar. Kendala yang ditemukan meliputi keterbatasan perangkat, akses internet yang belum stabil, serta perbedaan kemampuan teknologi peserta. Secara keseluruhan, pelatihan ini efektif dalam meningkatkan kapasitas UMKM, mendorong adaptasi terhadap transformasi digital, serta mendukung pengembangan usaha yang lebih inovatif, mandiri, dan berkelanjutan di tingkat desa.
Co-Authors Muhammad Iqbal Sitorus, Zulham