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All Journal INTECOMS: Journal of Information Technology and Computer Science Jurnal Algoritma
Tridian Galih, Sinta
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Computer Science & IT

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IMPLEMENTASI FUZZY K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENYAKIT SKIZOFRENIA PADA RUMAH SAKIT JIWA DAERAH (RSJD) Dr. AMINO GONDOHUTOMO Setia Budi, Agung; Prihati, Yani; Tridian Galih, Sinta
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/1v0fwk69

Abstract

Skizofrenia merupakan gangguan mental berat yang ditandai oleh gejala kompleks dan sering tumpang tindih antar tipe, sehingga menyulitkan proses diagnosis secara akurat. Penelitian ini bertujuan untuk mengimplementasikan algoritma Fuzzy K-Nearest Neighbor (FKNN) guna mengklasifikasikan jenis skizofrenia berdasarkan gejala pasien, dengan menggunakan data rekam medis dari RSJD Dr. Amino Gondohutomo. FKNN dipilih karena kemampuannya dalam menangani ketidakpastian data dan menghasilkan klasifikasi berbasis derajat keanggotaan, sehingga lebih adaptif terhadap variasi gejala yang bersifat samar. Sebanyak 300 data pasien digunakan dan dibagi menjadi data latih dan data uji (70:30), melalui tahapan encoding, normalisasi, dan proses klasifikasi dengan parameter k = 5 dan m = 2. Evaluasi dilakukan menggunakan confusion matrix, akurasi, precision, recall, dan F1-score. Hasil akhir menunjukkan bahwa model FKNN mampu mencapai akurasi sebesar 83%, yang menandakan performa good clasification dan potensi implementatif dalam. Kata Kunci: Skizofrenia, Fuzzy K-Nearest Neighbor, Klasifikasi, Data Mining
Sistem Informasi Perpustakaan Di Smp Negeri 19 Semarang Berbasis Web Graciano, Joy Arnold; Yusup; Tridian Galih, Sinta
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2553

Abstract

This study aims to develop a web-based Library Information System at SMP Negeri 19 Semarang. This system is expected to improve efficiency in the process of borrowing, returning, and managing library member data. Currently, these processes are still carried out manually, which causes data inconsistencies and increases the possibility of errors in data collection. The method used is system development using the Waterfall model, with data collection through observation, interviews, and literature study. The developed system is equipped with features such as book borrowing and return records, member data management, and automatic report generation. System testing was conducted using trials to ensure the functionality and ease of use of the system. The results of this study indicate that the developed system can improve library operational efficiency and ease of access for users in accessing books. It is hoped that this system can be implemented to facilitate more efficient and organized library activities in the future.
Co-Authors Graciano, Joy Arnold Prihati, Yani Setia Budi, Agung Yusup