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Pendampingan Pembuatan dan Pengelolaan Website Sekolah di SMP Muhammadiyah Bima Irma Eryanti Putri; Dahlan Dahlan; Taufiqurrahman Taufiqurrahman; Nurul Farhin; Hilyatul Mustafidah
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/ba-jpm.v6i3.5099

Abstract

Perkembangan teknologi informasi dan komunikasi mendorong sekolah untuk menggunakan media digital guna membantu menyebarkan informasi dan mempromosikan institusi mereka. Namun, SMP Muhammadiyah Bima belum memiliki situs web sekolah yang dapat berfungsi sebagai media informasi resmi, sementara keterampilan guru dan pihak sekolah dalam mengelola situs web masih terbatas. Kegiatan pengabdian masyarakat ini bertujuan untuk membantu pembuatan dan pengelolaan situs web sekolah, serta meningkatkan keterampilan digital guru dan pihak sekolah dalam mengelola website.     Metode yang digunakan adalah pendampingan partisipatif yang dilakukan oleh beberapa dosen Ilmu Komputer Universitas Muhammadiyah Bima. Kegiatan ini berbasis pelatihan dan simulasi yang melibatkan kepala sekolah, guru dan operator sekolah. Kegiatan dilaksanakan melalui beberapa tahapan yang meliputi analisis kebutuhan, pelatihan cara membuat situs web, bantuan pengelolaan situs web, dan evaluasi hasil kegiatan. Hasil kegiatan menunjukkan bahwa situs web sekolah telah berhasil dikembangkan dengan fitur-fitur utama seperti profil sekolah, visi, dan misi sekolah, informasi tentang guru dan staf pendidikan, berita sekolah, galeri kegiatan, informasi akademik, dan detail kontak sekolah. Selain itu, pelatihan yang diberikan dapat meningkatkan pemahaman dan keterampilan peserta dalam mengelola situs web secara mandiri, mencakup segala hal mulai dari manajemen konten hingga pemeliharaan situs web. Keberadaan situs web sekolah membantu meningkatkan efektivitas berbagi informasi, memperluas jangkauan promosi sekolah, dan mendukung transformasi digital di lingkungan SMP Muhammadiyah Bima. Hasilnya, kegiatan dukungan ini telah berhasil meningkatkan keterampilan sumber daya manusia sekaligus menyediakan platform informasi digital yang berkelanjutan bagi sekolah.
Integration of Fuzzy Logic and Neural Networks for Explainable Early Diagnosis of Rice Plant Diseases Teguh Ansyor Lorosae; Miftahul Jannah; Siti Mutmainah; Fathir; Hilyatul Mustafidah
Journix: Journal of Informatics and Computing Vol. 1 No. 3 (2025): December
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i3.21

Abstract

Early diagnosis of rice leaf diseases remains challenging due to subtle symptom manifestation, uncontrolled illumination, heterogeneous backgrounds, and the limited interpretability of purely data-driven models. This study proposes an explainable hybrid framework integrating a Mamdani Fuzzy Inference System (FIS) with an Artificial Neural Network (ANN) for early rice leaf disease diagnosis under real-field conditions. The framework combines engineered symptom descriptors extracted from segmented leaf regions (GLCM texture and HSV color features), acquisition-time environmental measurements, and a fuzzy-derived disease severity cue to mitigate symptom ambiguity while preserving rule-based interpretability. Experiments were conducted on 8,000 field-acquired rice leaf images collected from multiple locations, covering Healthy, bacterial leaf blight, brown spot, and leaf smut classes. Evaluation followed a leakage-controlled, location-disjoint protocol. Across five independent runs, the proposed FIS–ANN achieved an average accuracy of 91.3 ± 0.6% and a macro-F1 score of 90.8 ± 0.7%, significantly outperforming a feature-based ANN and a fine-tuned ResNet-18 baseline (paired McNemar test, p < 0.05). Per-class analysis shows consistent recall improvements for visually overlapping diseases, and additional evaluation on mild-severity samples confirms maintained sensitivity at early disease stages. Field deployment experiments using smartphone-acquired images from unseen locations further demonstrate robust generalization with low on-device inference latency. These results indicate that integrating fuzzy severity reasoning into a lightweight neural classifier provides a practical balance between performance, interpretability, and computational efficiency, supporting early disease screening and mobile decision-support applications in precision agriculture.
Promoting Equitable Scholarship Literacy through an Integrated Webinar Series on the Tatra Academy Digital Platform Khairunnas Khairunnas; Syahrul Alamsyah; Hilyatul Mustafidah; Husnatul Mahmudah
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 4 No 3 (2025): SEWAGATI: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v4i3.143

Abstract

Unequal access to international scholarship information remains a significant barrier in Indonesia. This community service program aimed to promote equitable scholarship literacy through a digital mentoring approach via the Tatra Academy platform. The program followed four stages: needs identification via Instagram, resource planning, online implementation via Zoom and YouTube, and demographic evaluation. Analysis of 1,102 cleaned registrants revealed a broad nationwide reach, including participants from frontier and underdeveloped (3T) regions. The program demonstrated high inclusivity across generations, engaging 369 participants under age 20 and 34 participants over age 40, supporting lifelong learning. The initial session on Hungary and Poland scholarships recorded the highest enthusiasm, followed by the AAS/MANAKI series and technical guides for essays and CVs. Findings show that digital platform integration effectively overcomes geographic barriers, democratizes information access, and supports inclusive human resource development.
Pelatihan Pemanfaatan Canva bagi Guru TK dalam Pengembangan Media Pembelajaran di TK Rabiatul Aulad Hilyatul Mustafidah; Khairunnas; Syahrul Alamsyah; Retno Ningsih
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 5 No 2 (2026): SEWAGATI: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v5i2.175

Abstract

Limited teacher digital skills meant that fine-motor learning media at Rabiatul Aulad Kindergarten largely relied on worksheets from books and the internet that were not always aligned with children's needs. This community service program aimed to improve teachers' ability to design fine-motor learning media using Canva. The program included needs identification, material delivery, demonstrations, guided practice, and evaluation through observation and a product rubric. Participants practiced developing coloring, line-tracing, picture-matching, pasting, cutting, and bead-pattern cards with difficulty levels adjusted to children's ages. After the training, participants could use basic Canva features, write instructions, arrange visual elements, and produce print-ready media. Several participants also applied their design skills to business promotional content. The findings indicate a descriptive change in participants' abilities, but no quantitative improvement can be claimed because structured pre- and post-tests were unavailable. Mentoring, a shared design library, quantitative evaluation, and classroom testing are recommended to sustain the program.