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PENINGKATAN TEKNOLOGI DIGITALISASI UMKM MELALUI PELATIHAN DIGITAL MARKETING : SHOPEE Ainin Bashiroh; Faizatus Sholikhah; Ade Fitriyanti Ulul Azmi
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 1 (2025): Vol. 2 No. 1 Edisi Januari 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i1.462

Abstract

Pelatihan digital marketing melalui pemanfaatan platform Shopee telah dilakukan untuk meningkatkan kemampuan teknologi digitalisasi pada UMKM di Kabupaten Mojokerto yang difasilitasi oleh Balai Latihan Kerja Komunitas Al Muaawanah Mojokerto. Program ini mencakup serangkaian tahap pelatihan, mulai dari pengambilan foto dan video produk, pengenalan dan pembuatan akun shopee, pemanfaatan fitur promosi dan analitik penjualan dan monitoring serta pendampingan peserta. Hasil pelatihan menunjukkan peningkatan signifikan pada keterampilan peserta dalam menghasilkan foto dan video berkualitas untuk pemasaran produk. Sebanyak 85% peserta berhasil memahami teknik dasar fotografi dan videografi produk. Selain itu, pelatihan pemanfaatan fitur analitik penjualan Shopee memungkinkan peserta memahami perilaku konsumen, waktu pembelian optimal, dan strategi promosi berbasis data, yang dampaknya meningkatkan performa toko. Program ini berhasil memberikan dampak langsung terhadap daya saing UMKM, termasuk peningkatan kepercayaan konsumen dan penjualan produk. Kendala yang dihadapi, seperti keterbatasan peralatan dan pemahaman teknis, diatasi dengan pendekatan kreatif dan pendampingan langsung. Dengan memanfaatkan teknologi sederhana dan fitur digital yang disediakan Shopee, pelatihan ini membuktikan bahwa transformasi digital dapat dilakukan secara praktis dan efisien. Pelatihan ini menjadi model efektif bagi pengembangan kompetensi digital UMKM di era ekonomi digital.
Modeling Sediment Deposition in Rivers Through Computational Fluid Dynamics Faizatus Sholikhah; Diah Sarasanty; Erna Tri Asmorowati; Albi Syah Yulviano; Nor Muhammad
Jurnal IPTEK Vol 30, No 1 (2026): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2026.v30i1.8274

Abstract

Sedimentation in irrigation canals significantly reduces operational efficiency and agricultural productivity in tropical monsoon regions. This study applied three-dimensional computational fluid dynamics (CFD) to analyze sediment deposition patterns in the Pakal River affecting the Bareng Irrigation District, East Java, Indonesia. The integrated approach combined HEC-HMS watershed modeling with ANSYS Fluent CFD simulation to evaluate sedimentation under design flood conditions (20-year return period).Design discharge was determined as 30.4 m³/s using the Modified Haspers-Weduwen method. CFD simulation revealed severe deposition totaling 2,200 m³ per design event, distributed across four distinct zones driven by weir backwater effects, bend circulation, channel expansion, and insufficient transport velocity. Model validation demonstrated strong performance (NSE = 0.84 for velocity, 81% spatial agreement for deposition). A critical finding is that low design discharge creates widespread subcritical flow conditions, resulting in more severe deposition than higher flows.The validated methodology provides a replicable framework for evidence-based sediment management in resource-constrained irrigation systems across tropical regions, with broader applicability to climate adaptation planning and infrastructure resilience assessment.
Integration of Artificial Intelligence in inclusive urban design to enhance gender and disability safety: A design-based research in Surabaya Ainin Bashiroh; Ahmad Syaifuddin; Faizatus Sholikhah; Komang Ayu Laksmi Harshinta Sari; Ade Fitriyanti Ulul Azmi; Ionocki Prasetyo
ARTEKS : Jurnal Teknik Arsitektur Vol 11 No 1 (2026): ARTEKS : Jurnal Teknik Arsitektur | January 2026 ~ March 2026
Publisher : Program Studi Arsitektur Fakultas Teknik Universitas Katolik Widya Mandira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30822/arteks.v11i1.4813

Abstract

Limited accessibility and safety for women and persons with disabilities remain critical issues in urban development in Indonesia, particularly in public spaces that are insufficiently responsive to vulnerable groups. This study aims to develop an inclusive urban design concept based on gender and disability perspectives through the integration of Artificial Intelligence (AI) and participatory approaches as an evidence-based design foundation. The research adopts a Design-Based Research (DBR) approach using mixed methods that combine AI-based quantitative analysis and participatory qualitative methods. Quantitative data were obtained through YouTube data crawling (853 entries, 729 valid datasets) and analyzed using Named Entity Recognition (NER) to identify potentially unsafe urban locations, then visualized through WebGIS. Qualitative data were collected through Focus Group Discussions (FGDs) involving disability organizations, women’s groups, and policymakers. The results identified three vulnerable locations in Surabaya: Kedung Cowek Street, Wonorejo Timur Street, and Kupang Indah Street. The study formulates inclusive urban design elements, including standardized pedestrian pathways, guiding blocks, gentle ramps, lighting levels of at least 12 lux, accessible transit stops, signage, and gender-sensitive public facilities. The novelty lies in integrating AI-based social media analysis with participatory approaches within a DBR framework to support data-driven inclusive urban design.