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All Journal Information Technology and Telematics Dinamik Pixel : Jurnal Ilmiah Komputer Grafis Bulletin of Electrical Engineering and Informatics Proceeding SENDI_U INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) JUTEKIN (Jurnal Manajemen Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JURNAL MAHAJANA INFORMASI Jurnal Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Teknik Informatika (JUTIF) Mejuajua Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Pengabdian Pada Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Wismarini, Th Dwiati
Universitas Stikubank
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MENINGKATKAN DAYA TARIK PEMBELAJARAN INFORMATIKA MELALUI DESAIN VISUAL DENGAN CANVA DI SMA NEGERI 1 BRINGIN KABUPATEN SEMARANG Wismarini, Theresia Dwiati; Murti, Hari; Lestariningsih, Endang; Redjeki, Rara Sriartati; Hartono, Budi; Anwar, Sariyun Naja; Lusiana, Veronica; Ardhianto, Eka
Intimas Vol 5 No 2 (2025)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v5i2.10149

Abstract

The rapid development of information technology requires teachers to present learning materials in a creative and visual manner. Informatics teachers at SMA Bringin face challenges in creating visually engaging teaching materials due to limited graphic design knowledge, which results in low student engagement and less effective delivery of content. To address this issue, a community service activity in the form of Canva training for informatics teachers at SMA Bringin was conducted. This activity followed a participatory and hands-on approach (learning by doing). The training took place over two days in the school's computer lab and was attended by 15 informatics teachers as well as several other subject teachers. Evaluation results showed 35% improvement in participants' understanding of Canva, based on a comparison of pre-test and post-test scores. Participants also displayed high creativity and enhanced visual skills in their final tasks, which involved creating educational materials using Canva. The satisfaction survey revealed that 93% of participants found the training highly beneficial and expressed their intention to adopt Canva in regular teaching. Overall, this training successfully improved the digital literacy of teachers, particularly in designing visual teaching media using Canva. Participants provided feedback suggest the organization of follow-up training focusing on animation or interactive video-based learning.
Webgis Fasilitas Kesehatan di Kabupaten Demak dengan Leaflet dan Web Mapping Interaktif Client-Side Muhammad Rizal Wahyu Aji Saputra; Theresia Dwiati Wismarini
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.751

Abstract

Geographic Information Systems (GIS) have become an essential tool in the planning and management of various sectors, including the health sector. This research aims to create an interactive WebGIS focused on mapping healthcare service locations in Demak Regency. Using the Leaflet JavaScript framework, this ap-plication is built with a client-side application approach, allowing data processing and map display to be performed directly in the user's browser. The interactive web mapping method is applied to provide a more lively user experience, where users can easily search, filter, and obtain detailed information about hospitals, community health centers, clinics, and other healthcare facilities in the Demak area. Geographic data and attributes from healthcare facilities are collected and combined into the system for precise visualization. The result of this development is a responsive, easily accessible web application that provides appropriate spatial information for the community, local government, and related parties to support decision-making regarding access to and distribution of healthcare services in Demak Regency. This system is expected to improve efficiency in identifying and utilizing existing healthcare facilities.
Comparative evaluation of AlexNet, SqueezeNet, VGG16, and ResNet50 for gender and hijab detection Aji Supriyanto; Theresia Dwiati Wismarini; Herny Februariyanti; Arief Jananto; Fitri Damaryanti; Hilmy Nurakmal Satria
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.9936

Abstract

This study aims to detect gender based on facial images with and without hijab features, with the expected outcome of distinguishing gender from these facial features. The method involves comparing the performance of four convolutional neural network (CNN) architectures: AlexNet, SqueezeNet, VGG16, and ResNet50. A total of 170 facial images were directly collected using smartphone cameras. The dataset consists of two classes: 68 male faces and 102 female faces, among which 78 images of females feature hijabs, while 24 do not. The validation stage with 40 images (15 males and 25 females) showed that the AlexNet architecture achieved the highest validation accuracy at 100%, followed by ResNet50 with 97.50%, VGG16 with 95%, and SqueezeNet with 92.50%. The testing stage with 40 images (20 males and 20 females, including 10 females with hijabs and 10 without) showed that ResNet50 classified 38 images correctly, achieving 95% accuracy. AlexNet classified 37 images correctly with 92.50% accuracy, SqueezeNet classified 36 images correctly with 90% accuracy, and VGG16 classified 34 images correctly with 85% accuracy. The contribution of this research shows that AlexNet achieves the highest validation accuracy, while ResNet50 provides the best accuracy in facial image detection for determining gender and hijab features.
Pemberdayaan Literasi Data Santri Melalui Kurasi Dataset Herbal Berorientasi FAIR di Pesantren Dewi Handayani Untari Ningsih; Zuly Budiarso; Enty Nur Hayati; Dwiati Wismarini; Sri Eniyati; Saefurrohman Saefurrohman
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 6 No. 1 (2026): Agustus 2026
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuaj.abdimas.v6i1.409

Abstract

Limited digital and data literacy can hinder systematic documentation of local medicinal-plant knowledge in Islamic boarding schools. This community service program empowered students’ data literacy through participatory curation of a structured herbal dataset. The six-week activity involved 15 students and two teachers and comprised needs assessment, digital-literacy training, field data collection, dataset curation, checking, evaluation, and reflection. Achievement was assessed descriptively through three performance components: computer use, Google Sheets data processing, and data capture and storage. Their arithmetic mean increased from 62.4 to 86.6, a 24.1-point or 38.7% change relative to the initial mean. This result describes only the participating group and does not establish causality. The program produced 75 standardized herbal entries that underwent completeness, naming-consistency, and basic plant-data checks. Structured metadata, tabular formatting, process documentation, and restricted access represented an initial orientation toward FAIR principles rather than full FAIR compliance.
Co-Authors - Sunardi Agnes Widyaningrum Agung Prihandono Aji Supriyanto Ananda, Shindu Rizky Andromeda, Fenomena Zulfiqar Antesia, Tiara Ardiyan Roosenda Setyadi Arief Jananto Bayu Sejati, Rachmad Budi Hartono Dewi Handayani Untari Ningsih Dwi Budi Santoso Eddy Nurraharjo Edy Supriyanto Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Enty Nur Hayati Eri Zuliarso FADHLULLOH, KHOLED Fauzan Meganuari Firstian Uzayr Hambali Fitri Damaryanti Hambali, Firstian Uzayr Hari Murti Hendriyanto Hendriyanto Heribertus Yulianton Herny Februariyanti Hilmy Nurakmal Satria Ilham Rizqi Furqon Jati Sasongko Kristophorus Hadiono Luh Putu Ratna Sundari Luthfi Fatkhul Mubin Maulida, Fadilla Muhammad Rizal Wahyu Aji Saputra Muhammad Syachrul Maulana Nizal Muji Sukur Murti, Hari Novita Mariana Nur Annisa R. Soelistijadi Rara Sri Artati Redjeki Rina Candra Noor Santi Rina Candra NS S Sunardi Saefurrohman Saefurrohman Sariyun Naja Anwar Shindu Rizky Ananda Sri Eniyati Sutrimo Teguh Khristianto Titan Acta Fikriansyah Veronica Lusiana Widiyanto Tri Handoko Yanuar Chistianto Yudanto Wibisono Yunus Anis Zuly Budiarso