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All Journal JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Journal of Innovation and Sustainable Empowerment
Hafis Nurdin
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Prediksi Keterlambatan Pembayaran Mahasiswa untuk Mitigasi Risiko Cuti Menggunakan SVM Optimasi PSO Hafis Nurdin; Imam Nawawi; Anus Wuryanto; Dewi Yuliandari; Hari Sugiarto
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15483

Abstract

Delayed tuition payments present challenges for higher education institutions, impacting both financial stability and students’ academic progress. This study proposes a predictive model using Support Vector Machine (SVM) optimized by Particle Swarm Optimization (PSO) to identify students at risk of payment delays. The dataset includes academic and social attributes. A dot kernel SVM was evaluated using 10-fold cross-validation. Results show that PSO optimization significantly improved model performance, particularly in recall, which increased from 36.10% to 65.51%, indicating better identification of delayed payment cases. The analysis also reveals that social factors, such as employment and academic status, strongly influence prediction outcomes. These findings highlight the potential of the SVM-PSO model as a decision-support tool for early intervention, enabling institutions to mitigate dropout risks and enhance financial planning. By leveraging this approach, universities can better support students while maintaining administrative efficiency and institutional sustainability.
Pelatihan Microsoft Word dan Excel sebagai Upaya Penguatan Kompetensi Digital Masyarakat RT 007 Mampang Prapatan Ahmad Hafidzul Kahfi; Jajang Jaya Purnama; Hafis Nurdin; Sri Rahayu
Journal of Innovation and Sustainable Empowerment Vol. 4 No. 3 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v4i3.172

Abstract

Perkembangan teknologi digital menuntut setiap individu memiliki keterampilan dasar dalam memanfaatkan perangkat lunak perkantoran, terutama Microsoft Word dan Excel yang berperan penting dalam penyusunan dokumen serta pengolahan data. Namun, masyarakat RT 007 Mampang Prapatan masih mengalami keterbatasan dalam keterampilan digital sehingga proses administrasi dan pelaporan belum optimal. Untuk menjawab permasalahan tersebut, tim dosen Universitas Bina Sarana Informatika melaksanakan program pengabdian kepada masyarakat melalui pelatihan Microsoft Word dan Excel bagi warga RT 007. Kegiatan dilakukan dengan pendekatan partisipatif melalui penyampaian materi, demonstrasi, dan praktik langsung. Hasil pelatihan menunjukkan peningkatan signifikan pada kemampuan peserta, yang ditunjukkan dengan rata-rata penilaian sebesar 4,57 dengan kategori Sangat Puas. Peserta mampu mengelola dokumen dan data secara lebih efektif, serta menunjukkan peningkatan kepercayaan diri dalam penggunaan teknologi digital. Program ini berdampak positif terhadap efektivitas kerja, profesionalisme warga, dan kesiapan masyarakat dalam menghadapi tantangan era transformasi digital.
Co-Authors Ahmad Hafidzul Kahfi Anus Wuryanto Dewi Yuliandari Hari Sugiarto - UBSI Imam Nawawi Jajang Jaya Purnama Sri Rahayu