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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Pengabdian Masyarakat Bangsa
Asa Hari Wibowo
Universitas Halu Oleo, Indonesia
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Sistem Cerdas Deteksi Risiko Anemia Berbasis Hybrid Convolutional Neural Network dan Expert System pada Analisis Citra Konjungtiva Mata dan Gejala Klinis Pasien Ghefira Zahra Nur Fadhilah; Muh. Yamin; Asa Hari Wibowo
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 6 No. 1 (2026): June 2026
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v6i1.17146

Abstract

Anemia remains a global health problem, requiring early detection to prevent serious complications. Hemoglobin testing is invasive, while previous non-invasive screening approaches rely on a single parameter, limiting early detection effectiveness. This study develops a non-invasive anemia screening system using conjunctival images and clinical symptoms based on a Convolutional Neural Network (CNN) with MobileNetV2, an expert system, and a weighted hybrid method. A total of 3,870 conjunctival images were used for training and validation, while 50 test samples were collected using a smartphone and clinical symptom data. The results show that the CNN achieved 94% accuracy, the expert system 90%, and the hybrid method achieved 96% accuracy, 100% precision, 89% recall, and a 94% F1-score. These findings indicate that the integration of methods improves screening performance and supports a fast, easy, non-invasive, and practical anemia screening system for early detection that can be used independently at home with accessible devices.
Pendampingan Pembelajaran dan Pengembangan Sistem Informasi Pendataan PKL Berbasis Website Melalui Kerja Praktik di SMK Negeri 3 Kendari Nirmala Nirmala; Indah Lestari; Adi Setiawan; Asa Hari Wibowo; Andy Musly Afryanto Fitri
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 6 (2026): Agustus
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v4i6.4833

Abstract

Kegiatan pengabdian ini bertujuan membantu SMK Negeri 3 Kendari mengatasi permasalahan pengelolaan administrasi Praktik Kerja Lapangan (PKL) yang masih dilakukan secara manual, sekaligus memberikan pendampingan pembelajaran teknologi informasi bagi siswa program keahlian Teknik Jaringan Komputer dan Telekomunikasi (TJKT). Metode yang digunakan meliputi observasi, wawancara, dan studi literatur untuk analisis kebutuhan, dilanjutkan dengan pengembangan Sistem Informasi Pendataan Siswa PKL berbasis website menggunakan metode Agile dengan Google Apps Script dan Google Sheets sebagai back-end dan basis data. Selain pengembangan sistem, tim pengabdi juga melaksanakan pendampingan pembelajaran pemrograman web, desain antarmuka dengan Figma, instalasi sistem operasi Ubuntu, serta instalasi WordPress, di samping mendampingi pengawasan proses belajar dan sosialisasi sistem ke beberapa kelas. Hasil kegiatan menunjukkan bahwa sistem berhasil diimplementasikan dengan dua level akses pengguna (siswa dan admin) dan seluruh fitur utama dinyatakan valid berdasarkan hasil Blackbox Testing. Kegiatan pendampingan pembelajaran turut meningkatkan pemahaman siswa terhadap teknologi web, desain, dan administrasi server. Kesimpulannya, kegiatan pengabdian ini berhasil menghadirkan solusi digital yang efisien bagi sekolah sekaligus meningkatkan kapasitas siswa di bidang teknologi informasi.
Co-Authors Adi Setiawan Andy Musly Afryanto Fitri Ghefira Zahra Nur Fadhilah Indah Lestari Muh. Yamin Nirmala Nirmala