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Strategi Digital Marketing Melalui Pemanfaatan Artificial Intelligence Untuk Meningkatkan Daya Saing Lembaga Pelatihan Kerja Aulawi , Hilmi; Aisyah, Risa; Hanif Al Fhayed, Nazwan
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2738

Abstract

Perkembangan teknologi digital mendorong lembaga pendidikan untuk mengadopsi strategi pemasaran yang adaptif guna mempertahankan daya saing. LPK Juku Gakuin Centre sebagai lembaga pelatihan kerja menuju Jepang, masih menggunakan metode promosi konvensional yang kurang efektif dalam menjangkau audiens digital. Penelitian ini bertujuan untuk merancang strategi digital marketing berbasis Artificial Intelligence guna meningkatkan efektivitas promosi dan jumlah pendaftar. Penelitian menggunakan pendekatan kualitatif deskriptif dengan metode perancangan strategi SOSTAC (Situation, Objectives, Strategy, Tactics, Action, Control). Data dikumpulkan melalui wawancara, observasi, dan studi dokumentasi internal lembaga. Hasil penelitian menunjukkan bahwa penerapan AI melalui penggunaan Meta Ads, WhatsApp Business, Facebook dan Instagram Insights mampu meningkatkan jangkauan informasi, interaksi calon peserta, serta efisiensi operasional promosi. Implementasi strategi digital yang dirancang menghasilkan perencanaan pemasaran yang lebih terstruktur, terukur, dan berbasis data aktual. Penelitian ini merekomendasikan penguatan infrastruktur digital, peningkatan literasi teknologi bagi sumber daya manusia, serta integrasi sistem promosi berbasis AI secara bertahap. Temuan ini diharapkan dapat menjadi acuan strategis bagi lembaga pendidikan kerja lainnya dalam mengoptimalkan pemasaran digital sebagai respon terhadap dinamika pasar tenaga kerja internasional yang kompetitif.
Strategi Peningkatan Produksi Dengan Balanced Scorecard dan ANP Al Fisimar, Farhan; Aulawi, Hilmi; Aisyah, Risa
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2830

Abstract

PT. Antaboga Pangan Nusantara faces a strategic challenge to increase its production capacity from 1,200 pieces per day to 2,500 pieces per day in order to meet its market expansion targets. This study aims to design a comprehensive production capacity improvement strategy by integrating the Balanced Scorecard (BSC) and Analytical Network Process (ANP) methods. The BSC method is used to translate the company's vision into a series of measurable strategic objectives in four perspectives: finance, customers, internal business processes, and learning and growth. Furthermore, the ANP method is used to prioritize these strategic objectives by modeling complex dependencies and feedback relationships between elements. Data was collected through documentation studies, interviews, and paired comparison questionnaires completed by internal company experts. The results of the study showed that strategic objectives in the Internal Business Process perspective, such as Production Flow Optimization and Bottleneck Elimination, had the highest priority at 17%. This is followed by objectives in the Learning and Growth perspective, such as Improving Technical Competence and Workforce Problem-Solving Skills. This integrated framework successfully provides a measurable and implementable strategic roadmap for the company to allocate resources effectively in achieving production capacity targets.