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All Journal JUITA : Jurnal Informatika Prosiding Seminar Nasional Program Pengabdian Masyarakat
Abian Ayatullah Fikri
Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Medicine & Pharmacology Social Sciences

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Eksplorasi Dan Elaborasi Pendidikan Serta Lingkungan Berkelanjutan Untuk Pembangunan Masyarakat Desa Kalibening, Banjarnegara, Jawa Tengah Anita Rohmawati; Muhamad Rosid Abdullah; Fazril Milzam; Teguh Dermawan; Jihan Ayu Alifa Karindita; Abian Ayatullah Fikri; Dian Kurnia Dewi; Hesti Rushartini; Cahyo Wisnu Rubiyanto
Prosiding Seminar Nasional Program Pengabdian Masyarakat Vol. 6 No. 1 (2023): Semnas PPM 6 Tahun 2023
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.61.1200

Abstract

Pendidikan, lingkungan, dan kesehatan merupakan elemen penting dalam pembangunan masyarakat desa. Kegiatan pengabdian masyarakat ini berfokus pada pada eksplorasi dan elaborasi aspek-aspek tersebut. Tujuannya adalah untuk meningkatkan kreativitas, inovasi, dan keterampilan serta melatih perkembangan fisik, kognitif, sosial, dan emosional masyarakat pedesaan secara umum. Pelaksanaan pemberdayaan mencakup serangkaian program terkait pendidikan anak usia dini, pengoptimalan area Tempat Pendidikan Anak (TPA), dan validasi data kesehatan balita. Metode yang digunakan mencakup observasi, wawancara, pelaksanaan program, serta analisis dokumentasi untuk memahami peran program pemberdayaan dalam meningkatkan pendidikan, lingkungan, dan kesehatan masyarakat pedesaan. Hasil dari upaya pemberdayaan ini mencakup peningkatan tingkat kesiapan sekolah anak usia dini, pengelolaan TPA yang lebih optimal, serta data yang valid mengenai masalah stunting. Harapannya adalah bahwa kegiatan pengabdian ini dapat memberikan masukan berharga kepada pemerintah dalam meningkatkan perhatian dan pemantauan yang terstruktur untuk memastikan kelancaran pelaksanaan program-program tersebut.
Leafy AI: Integrating MobileNetV2 and TensorFlow Lite into a Flutter-Based Application for Real-Time Ornamental Plant Recognition Haris Setyawan; Nur Zareen Zulkarnain; Abian Ayatullah Fikri
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i1.28141

Abstract

Operating artificial intelligence on smartphones attracted interest in various applications, but in practice, device capacity limited AI capabilities. Limited processing power, restricted memory capacity, and unstable network connectivity could make AI models difficult to use outside lab environments. In this work, we describe Leafy AI, a mobile application that identifies ornamental plants designed to work fully on the device. The classifier is based on MobileNetV2 and trained with transfer learning using 67,200 images from 112 plant categories. Images were resized to 224 × 224 pixels and normalized before training. After training, the model was converted into TensorFlow Lite format and integrated within a Flutter application. A lightweight service layer manages preprocessing and inference so that the interface remains simple for the user. Evaluation using 13,440 test images achieved a top-one accuracy of 0.89. A smaller field experiment involving 226 photos captured under real-world conditions resulted in lower accuracy, primarily due to variations in lighting and background. Nevertheless, the system remained reliable in offline mode. The findings show that recognition of ornamental plants can be carried out on ordinary smartphones and that further improvements are possible through augmentation, domain adaptation, quantization, and hardware acceleration.
Co-Authors Anita Rohmawati Cahyo Wisnu Rubiyanto Dian Kurnia Dewi Fazril Milzam Haris Setyawan Hesti Rushartini Jihan Ayu Alifa Karindita Muhamad Rosid Abdullah Nur Zareen Zulkarnain Teguh Dermawan