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All Journal INOVTEK Polbeng - Seri Informatika Lumbung Ngabdi: Jurnal Pengabdian Masyarakat
M. Agung Vafky Ideal
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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Sosialisasi Magang Berdampak 2024: Meningkatkan Partisipasi Mahasiswa dalam Program Penguatan Kompetensi Atika Fauziyyah; Tomy Nanda Putra; M. Agung Vafky Ideal; Dori Gusti Alex Candra; Idir Fitriyanto; Adi Prastya; Zaharani Yusno
Lumbung Ngabdi: Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2024): Desember
Publisher : Pusat Kajian dan Pengembangan Publikasi Ilmiah Institut Agama Islam Hamzanwadi Nahdlatul Wathan Lombok Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51806/ngabdi.v2i3.41

Abstract

Program Magang Berdampak 2024 merupakan bagian dari kebijakan Merdeka Belajar Kampus Merdeka (MBKM) yang bertujuan untuk meningkatkan kompetensi dan kesiapan kerja mahasiswa. Kegiatan pengabdian masyarakat ini dilakukan dalam bentuk sosialisasi yang dilaksanakan oleh Institut Teknologi Mitra Gama, dengan melibatkan Wakil Rektor I, Ketua Program Studi, dan dosen pembimbing. Kegiatan berlangsung selama satu hari dan menyasar mahasiswa sebagai peserta utama. Metode yang digunakan adalah pendekatan edukatif dan praktis, di mana mahasiswa tidak hanya menerima informasi, tetapi juga langsung dibimbing untuk mendaftar di platform Simbelmawa. Hasil kegiatan menunjukkan bahwa mahasiswa tidak hanya lebih memahami manfaat program magang, tetapi juga menunjukkan antusiasme dan partisipasi aktif dalam proses pendaftaran. Sosialisasi ini terbukti efektif dalam meningkatkan kesadaran dan keterlibatan mahasiswa dalam program-program penguatan kompetensi berbasis nasional
Intelligent System for Monkeypox Disease Diagnosis Using Hybrid Certainty Factor and Fuzzy Logic Methods M. Agung Vafky Ideal; Tomy Nanda Putra
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/h13m0k54

Abstract

Monkeypox cases has the potential to spread rapidly, making early detection crucial to prevent wider transmission. Unfortunately, at the UPT Puskesmas where this study was conducted, there is no system available to assist medical personnel in performing fast and standardized diagnoses. To address this issue, this research developed a web-based intelligent system by combining the Certainty Factor (CF) and Fuzzy Logic methods. The system’s knowledge base was constructed from symptom data collected through expert interviews and literature studies. It was then tested using data from 30 patients with similar symptoms. The processing involved calculating certainty values with CF and mapping them into fuzzy membership degrees. The test results showed an accuracy of 86%, demonstrating that the combination of CF and Fuzzy Logic improves diagnostic accuracy while providing results that are easier to interpret. Therefore, the developed system can serve as a diagnostic aid for monkeypox in primary healthcare centers, particularly in situations with limited diagnostic facilities, and can also serve as a foundation for developing intelligent detection technologies for other infectious diseases.
Co-Authors Adi Prastya Atika Fauziyyah Candra, Dori Gusti Alex Idir Fitriyanto Idir Tomy Nanda Putra Zaharani Yusno