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All Journal G-Tech : Jurnal Teknologi Terapan Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Kevin Harlis Oktaviano
Politeknik Internasional Tamansiswa Mojokerto, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Design and Implementation of a Web-Based Visual Search System for MSME E-Commerce Using the Flask Framework Kevin Harlis Oktaviano; Kevin Ilham Apriandy; M. Sholahudin Sunardiyanta
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8942

Abstract

This research presents the design and implementation of an end-to-end web-based visual search system for MSME e-commerce using the Flask framework and a VGG16-based convolutional neural network. The system addresses two critical challenges commonly faced by MSME digital platforms: product tagging errors during product uploads by sellers and limitations of text-based search for customers. A dual-model architecture is implemented, consisting of a visual search module for similarity-based image retrieval and a backend classification module for automatic product categorization. The system is evaluated using a locally collected MSME product image dataset from the Tapal Kuda region, achieving a classification accuracy of 89.17% and visual search performance with a macro precision of 0.85, macro recall of 1.0, and macro F1-score of 0.91. To support real-time deployment, visual features are pre-extracted and stored, enabling efficient query processing with response times under 2 seconds during concurrent usage testing. The results demonstrate that the proposed system provides effective and practical visual search functionality within a localized MSME context while maintaining feasible computational requirements, making it suitable for deployment in resource-constrained MSME environments.
Pelatihan Pemanfaatan Kecerdasan Buatan bagi Guru Sekolah Dasar di Surabaya untuk Mendukung Transformasi Pembelajaran Digital: Pengabdian Kevin Harlis Oktaviano; Kevin Ilham Apriandy; Oktavia Citra Resmi Rachmawati; Lutfia Puspa Indah Arum; Revvan Rifada Pradiza; Dwi Heru Siswantoro
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.6896

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi dan kompetensi guru Sekolah Dasar (SD) di Surabaya dalam pemanfaatan teknologi kecerdasan buatan (AI) untuk mendukung proses pembelajaran. Kegiatan ini dilaksanakan dalam bentuk lokakarya yang diikuti oleh 102 peserta dan bertempat di SDN Keputran I/332. Metode pelaksanaan meliputi penyampaian materi, diskusi interaktif, serta praktik langsung penggunaan berbagai peralatan AI seperti NotebookLM, AI Poem Generator, dan Suno AI. Hasil kegiatan menunjukkan baiknya antusiasme peserta yang ditandai dengan partisipasi aktif selama sesi diskusi, kuis, dan praktik. Peserta mampu memahami konsep dasar AI serta mengaplikasikan teknologi tersebut untuk mendukung penyusunan materi pembelajaran, pembuatan konten edukatif, serta peningkatan produktivitas administratif kerja. Meskipun terdapat kendala seperti keterbatasan perangkat dan koneksi internet, kegiatan ini berhasil meningkatkan pemahaman awal dan kesiapan guru dalam mengadopsi teknologi AI guna menciptakan transformasi pembelajaran digital yang lebih adaptif terhadap perkembangan teknologi.
Identifying Financial Literacy and Asset Participation Segments among Young Adults in Indonesia Using K-Means Clustering Oktavia Citra Resmi Rachmawati; Kevin Ilham Apriandy; Kevin Harlis Oktaviano; Zakha Maisat Eka Darmawan
G-Tech: Jurnal Teknologi Terapan Vol 10 No 3 (2026): G-Tech, Vol. 10 No. 3 July 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i3.10684

Abstract

Financial literacy is crucial in influencing asset ownership decisions among young adults; yet, the variability of financial literacy and asset involvement in Indonesia has not been adequately examined. This research seeks to categorize young Indonesian individuals based on financial literacy and asset participation using the K-Means clustering technique. The research employed a quantitative methodology, incorporating exploratory data analysis of a survey dataset comprising 952 participants and 13 variables related to financial literacy, asset involvement, demographic traits, economic education, and financial behavior. Missing values were addressed by group-based mode imputation for categorical variables and mean imputation for numerical variables, followed by encoding and data standardization utilizing StandardScaler. The ideal number of clusters was assessed by the Elbow Method, Silhouette Score, and Davies–Bouldin Index. Despite achieving the highest Silhouette Score at k = 2, the k = 9 model was chosen due to its lower Davies–Bouldin Index and its ability to enable more nuanced responder segmentation. The findings identified nine categories exhibiting varying levels of basic and advanced financial literacy, ranging from very low to very high. These findings offer significant insights for the formulation of targeted financial education initiatives and financial inclusion policies customized to the attributes of various young adult demographics.
Co-Authors Darmawan, Zakha Maisat Eka Dwi Heru Siswantoro Kevin Ilham Apriandy Kevin Ilham Apriandy Lutfia Puspa Indah Arum M. Sholahudin Sunardiyanta Oktavia Citra Resmi Rachmawati Oktavia Citra Resmi Rachmawati Pradiza, Revvan Rifada