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Detection of chronic kidney disease using binary whale optimization algorithm Sutikno, Sutikno; Kusumaningrum, Retno; Sugiharto, Aris; Arif Wibawa, Helmie
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1511-1518

Abstract

Chronic kidney disease (CKD), a medical illness, is characterized by a steady deterioration in kidney function. A disease's ability to be prevented and effectively significantly treated depends on early diagnosis. The addition of filter feature selection to the machine learning algorithm has been done to detect CKD. However, the quality of its feature subset is not optimal. Wrapper feature selection can improve the quality of these feature subsets. Therefore, we proposed wrapper feature selection and binary whale optimization algorithm (BWOA) to enhance the accuracy of early CKD detection. We also make data improvements to improve accuracy, namely the preprocessing process with the median and modus techniques. We used a public dataset of 250 medical records of kidney sufferers and 150 completely healthy people. There are 24 features in this dataset. The test results showed that adding BWOA feature selection can increase accuracy. The proposed method produced an accuracy of 100%. Further research on these methods can be used to develop expert systems for early detection of CKD.
Pemanfaatan Web E-Ecommerce sebagai Solusi Pemasaran bagi UMKM di Kecamatan Mayong Kabupaten Jepara Saputra, Ragil; Arif Wibawa, Helmie; Rismiyati; Khadijah; Kurniawan, Sandy
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2025): Inovasi Teknologi dan Pemberdayaan Masyarakat Desa
Publisher : IndoCompt Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program pengabdian masyarakat ini dilaksanakan untuk memberdayakan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kecamatan Mayong, Kabupaten Jepara yang masih memiliki tingkat adopsi teknologi digital rendah. Dari 80.000 UMKM di Kabupaten Jepara, hanya 3,4% yang memiliki daya saing di pasar akibat keterbatasan literasi digital, kurangnya pelatihan, dan minimnya infrastruktur pendukung. Kegiatan ini bertujuan meningkatkan akses pasar dan daya saing UMKM melalui pelatihan dan implementasi platform web e-commerce. Program dilaksanakan melalui identifikasi masalah dengan survei dan wawancara, pengembangan web e-commerce, pendampingan penggunaan platform, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan sebanyak 18 pelaku UMKM berpartisipasi dalam kegiatan ini memahami pentingnya pemasaran digital dan mampu menggunakan platform web https://www.umkmkecmayong.com. Program ini berperan dalam meningkatkan keterampilan digital dan membuka peluang pasar yang lebih luas bagi UMKM