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All Journal Jurnal Pengabdian Magister Pendidikan IPA Journal of Artificial Intelligence and Digital Business
Swandi, Andri
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

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Analisa dan Perancangan Website E Recruitment Pegawai (Studi Kasus di Kantor Inspeksi BRI Padang) Swandi, Andri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.3153

Abstract

To create an effective recruitment effort at the BRI Padang Inspection Office requires a computerized employee recruitment and selection system. It would be even more effective if the recruitment process, such as job vacancy announcements, application submissions, and applicant calls, were conducted through a website-based online media platform. The traditional manual recruitment system using MS. Excel applications has proven ineffective in managing the increasing volume of applicants and maintaining data accuracy, leading to inefficiencies in processing time and decision-making. This research aims to design and implement an e-recruitment system that addresses these limitations while improving the overall recruitment process quality and efficiency. This methodology encompasses the research framework, starting from identifying problems, analyzing problems, determining objectives, studying literature, data collection techniques, system design, system testing techniques, to system evaluation techniques. The study employs a systematic approach combining qualitative and quantitative methods to ensure comprehensive system development. Data collection involves interviews with HR personnel, observation of existing recruitment procedures, and analysis of previous recruitment records to identify key requirements and system specifications. The implementation in the form of an e-recruitment website at the BRI Padang Inspection Office has the capability to overcome the problems that have been generated by the manual system using MS. Excel applications, which has proven ineffective. The system provides features including automated job posting, online application submission, applicant tracking, automated screening, and comprehensive reporting mechanisms. This digital transformation is expected to significantly reduce processing time, minimize human error, enhance data security, and improve the candidate experience throughout
Peningkatan Literasi Artificial Intelligence melalui Pelatihan Deep Learning pada Pengenalan Citra Bidang Kesehatan Fauzi, Dede; Ihksan, Muhammad; Rahman, Abdur; Swandi, Andri
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 1 (2026): Januari - Maret 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i1.14452

Abstract

Perkembangan Artificial Intelligence (AI), khususnya Deep Learning, telah membawa perubahan signifikan dalam berbagai bidang, termasuk bidang kesehatan melalui pemanfaatan pengenalan citra. Namun, tingkat literasi AI pada kalangan siswa, mahasiswa, dan pendidik masih relatif terbatas, terutama dalam memahami konsep dasar dan mekanisme kerja Deep Learning. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi Artificial Intelligence melalui pelatihan Deep Learning pada pengenalan citra bidang kesehatan dengan pendekatan edukatif dan praktis. Kegiatan dilaksanakan pada 26 Desember 2025 di Laboratorium Komputer Universitas Syedza Saintika dengan mitra SMK Negeri 2 Padang, melibatkan 45 peserta yang terdiri atas siswa, mahasiswa, dosen, dan guru dengan tingkat literasi pemula. Metode pelaksanaan mencakup penyampaian materi dasar mengenai konsep AI, Machine Learning, Deep Learning, dan Convolutional Neural Network (CNN), yang dilanjutkan dengan praktik langsung pengenalan citra menggunakan Google Colab. Evaluasi dilakukan melalui pre-test dan post-test berbasis ujian praktikum untuk mengukur peningkatan pemahaman peserta. Hasil kegiatan menunjukkan adanya peningkatan literasi AI dan pemahaman konsep Deep Learning sebesar 80%. Selain peningkatan pengetahuan, kegiatan ini juga menghasilkan luaran berupa sertifikat pelatihan dan dokumentasi kegiatan. Pelatihan ini terbukti efektif dalam meningkatkan pemahaman peserta terhadap konsep dasar Deep Learning serta memberikan gambaran awal mengenai pemanfaatan pengenalan citra di bidang kesehatan, sehingga berpotensi menjadi model pengabdian masyarakat yang dapat direplikasi pada konteks pendidikan lainnya.
Co-Authors Abdur Rahman Fauzi, Dede Ihksan, Muhammad