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All Journal eProceedings of Engineering Jurnal Ekonomi, Akuntansi dan Perpajakan
Hendrik Hermawan
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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ANALISIS PENGUATAN DIGITALISASI PERBANKAN MELALUI PENINGKATAN PERLINDUNGAN DANA BANK KONSUMEN OLEH OJK A. Zeze Muhtadien; Abdul Aziz; Hendrik Hermawan
Jurnal Ekonomi, Akuntansi, dan Perpajakan Vol. 1 No. 3 (2024): Agustus: Jurnal Ekonomi, Akuntansi, dan Perpajakan (JEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jeap.v1i3.291

Abstract

The increasingly massive use of social media has opened up opportunities for the development of the business sector. This reality also provides opportunities for the growth and development of local products. One local brand that has developed quite well by utilizing social media, especially TikTok, is the Tenue de Attire brand. This research aims to analyze strategies for increasing brand awareness through creative content in TikTok Brand Tenue de Attire social media marketing. This research uses a descriptive qualitative approach, data was obtained using literature review techniques and official publications. Tenue De Attire's marketing strategy shows that they can use social media, especially TikTok, to increase brand awareness and introduce their products to the public. They managed to create a strong connection between the audience and the brand by focusing on creating engaging video content, especially by using adaptable ideas and following popular trends. Tenue De Attire uses an Inbound Marketing approach to direct TikTok users from the stage of attracting attention to the stage of becoming potential customers, by using interesting content to provide information about their products indirectly. Inbound marketing strategy has four stages, namely: Attract, Convert, Close and Delight. Using TikTok's Shop and Live features also helped them increase customer relations and sales. Therefore, Tenue De Attire has achieved success thanks to its innovative and smart marketing strategies.
Implementasi Chatbot Berbasis Transformer Dan Pemindaian QR Code Pada Website Inventaris Hendrik Hermawan; Yohanes Setiawan; Mustafa Kamal
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Belum adanya transformasi digital pengolahan data inventaris pada PT Berlian Jasa Terminal Indonesia menyebabkan rawan kesalahan seperti data yang tidak akurat, akses informasi yang lambat, dan pelacakan aset yang tidak efisien akibat proses manual. Metode konvensional berbasis spreadsheet yang lambat dan rawan kesalahan mendorong perlunya solusi teknologi modern untuk meningkatkan efisiensi dan kemudahan akses informasi. Penelitian ini berhasil mengembangkan dan mengimplementasikan sistem inventaris berbasis website yang mengintegrasikan pemindaian QR Code untuk pelacakan aset fisik dan chatbot berbasis model Transformer (IndoBERT) untuk akses informasi melalui Natural Language Processing (NLP). Proses pengembangan mencakup perancangan arsitektur, pelatihan model, dan pengujian sistem secara menyeluruh. Hasil pelatihan model menunjukkan bahwa konfigurasi hyperparameter optimal (Skenario 3) mampu mencapai akurasi 91% untuk klasifikasi intent dan performa nyaris sempurna untuk Named Entity Recognition (NER) pada data uji awal. Namun, pengujian lanjutan menggunakan 100 sampel data uji yang menantang mengungkap bahwa model memiliki keterbatasan dalam menangani permintaan di luar cakupan (intent unknown), di mana banyak di antaranya keliru diklasifikasikan sebagai cari_perangkat. Sistem ini terbukti fungsional dan mampu meningkatkan efisiensi dibandingkan metode manual, dengan chatbot yang berhasil merespons permintaan pengguna secara akurat untuk fungsionalitas inti. Kata kunci— Manajemen Inventaris IT, Pemindaian QR Code, Chatbot dengan Model Transformer, Pemrosesan Bahasa Alami (NLP)
Co-Authors A. Zeze Muhtadien Abdul Aziz Mustafa Kamal Yohanes Setiawan