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Ardiansyah Yudhono, Muhamad Septian
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Humanities Computer Science & IT Control & Systems Engineering Education Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Memperkuat Kemampuan Digital Melalui Pelatihan dan FGD: Inovasi dan Strategi dalam Pemasaran dan Produksi Konten Ananda Yusuff, Andinna; Kamasturyani, Yani; Nurcahyani, Sri; Fardhoni; Setyo Dwi Andhini, Citra; Rizki, Muhammad; Dwi Rianto, Dimas; Suryaputra, Dimas; Ardiansyah Yudhono, Muhamad Septian
ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat Vol 2 No 1 (2024): Januari
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/adima.v2i1.148

Abstract

Penelitian ini mengeksplorasi inisiatif Kota Cirebon, Jawa Barat, Indonesia, dalam mengatasi masalah stunting, yakni gangguan pertumbahan pada anak akibat kekurangan gizi, melalui pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM). Dengan fokus pada integrasi antara kesehatan publik dan pembangunan ekonomi lokal, penelitian ini menggunakan metode demonstrasi dan observasi untuk melatih UMKM dalam penggunaan media digital. Kegiatan ini meliputi pelatihan dalam penulisan konten, desain grafis, produksi video, strategi digital marketing, dan penggunaan teknologi SEO dan media sosial. Tujuan utamanya adalah meningkatkan kesadaran dan pengetahuan tentang stunting serta memperkuat keahlian digital UMKM untuk promosi kesehatan dan nutrisi.
GIS, IOT, DAN MACHINE LEARNING UNTUK INFORMASI BANJIR DI JAWA BARAT: SCOPING REVIEW CEPAT ardiansyah yudhono, muhamad septian; indra surya permana; Dimas Dwi Rianto
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol 4 No 1 (2026): JANUARI
Publisher : Awatara Publisher

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Abstract

This rapid scoping review maps geographic information systems (GIS), Internet of Things (IoT), and machine learning (ML) approaches for flood information and further research in West Java. A Population–Concept–Context framework guided targeted Consensus and publisher searches, with a literature cutoff of October 2025. Crossref metadata and DOI resolution were checked. Thirteen studies were mapped: six local studies and seven purposively selected comparators; nine were read in full and four through abstracts. GIS and ML each appeared in nine studies, and IoT in four. No mapped study reported operational integration of all three. Local evidence distinguished coastal tidal inundation, downstream river flooding, urban susceptibility, and Upper Citarum modelling. Data priorities included tidal boundaries, elevation, channel geometry, rainfall timing, and event inventories. The proposed architecture separates mapping, observation, prediction, and information delivery. Findings guide data selection without establishing operational readiness. Targeted retrieval, abstract-only records, and the absence of duplicate screening limit completeness.
Co-Authors Andinna Ananda Yusuff Citra Setyo Dwi Andhini Dimas Dwi Rianto Dwi Rianto, Dimas Fardhoni Indra Surya Permana Kamasturyani, Yani Muhammad Rizki Nurcahyani, Sri Suryaputra, Dimas