Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul

Thoriq Wahyu Hidayatullah ; Ulya Anisatur Rosyidah ; Nur Qodariyah Fitriyah
JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (J... 📅 2026 Vol 4, No 1 🔗 DOI: 10.54066/jptis.v4i1.3733
Abstract
The distribution of social assistance represents a key government strategy to enhance the welfare of low-income communities. Nevertheless, its implementation frequently faces challenges related to inaccurate targeting, often caused by uneven data collection and subjective decision-making processes in identifying eligible beneficiaries. This study aims to compare the performance of the K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in determining eligibility for social assistance recipients in Banyuputih Kidul Village. Both models were evaluated using a confusion matrix with performance indicators including accuracy, precision, recall, and F1-score. The findings reveal that the KNN algorithm outperformed Naïve Bayes in identifying recipients of the PKH social assistance program, achieving an evaluation score of 99%, compared to 86% for Naïve Bayes. These results indicate that KNN provides higher predictive reliability for eligibility classification. This research is expected to support the development of an objective, data-driven decision support system that can assist village governments in distributing social assistance more accurately and transparently.
Keywords
Classification; Decision Support System; K-Nearest Neighbors; Naïve Bayes; Social Assistance
How to Cite

Thoriq Wahyu Hidayatullah, et al. (2026). Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul . JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS), 4(1). https://doi.org/10.54066/jptis.v4i1.3733

Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah, "Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul ," JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS), vol. 4, no. 1, 2026.

Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah. "Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul ." JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS), vol. 4, no. 1, 2026.

Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah. "Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul ." JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS) 4, no. 1 (2026).

Thoriq Wahyu Hidayatullah, et al. (2026) 'Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul ', JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS), 4(1). doi: 10.54066/jptis.v4i1.3733.

Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah. Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul . JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS). 2026;4(1).

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