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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Padamu Negeri
Rudy Cahyadi
UPN Veteran Yogyakarta
Computer Science & IT Education Engineering Other

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OPTIMASI NILAI K PADA KNN DENGAN INTEGRASI SIMULATED ANNEALING DAN HILL CLIMBING UNTUK PREDIKSI HARGA RUMAH Rudy Cahyadi; Ariesta Damayanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6214

Abstract

The K-Nearest Neighbors (KNN) algorithm is a widely adopted method for classification and regression due to its straightforward implementation. However, KNN’s performance is heavily influenced by the choice of the parameter k (the number of nearest neighbors), where a non-optimal k value may lead to overfitting or underfitting. To address this challenge, this study proposes an optimization approach for the k parameter using two local search algorithms: Simulated Annealing (SA) and Hill Climbing (HC). The dataset utilized is the Real Estate Dataset from Kaggle, which contains housing characteristics, with the prediction target being MEDV (Median Value of Owner-Occupied Homes). This research compares the performance of standard KNN, KNN optimized with SA, and KNN optimized with HC. Model evaluation is conducted using the Root Mean Square Error (RMSE) metric. Experimental results demonstrate that both SA and HC significantly enhance prediction accuracy compared to standard KNN. SA excels in exploring the solution space and avoiding local optima, while HC offers faster convergence. The findings reveal that KNN with the optimal k achieves an RMSE of 3.3159 with k=2. The integration of both methods demonstrates potential for determining a more optimal and stable k value across various regression datasets.
PENGENALAN TEKNOLOGI AUGMENTED REALITY UNTUK PENINGKATAN KUALITAS PEMBELAJARAN PADA PPTQ AZZAKIYYAH Rudy Cahyadi; Budi Suyanto; Andi Nurkholis; Andrey Ferriyan; Yuli Fauziah
Jurnal Padamu Negeri Vol. 3 No. 2 (2026): April : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/hmt46q48

Abstract

This Community Service activity aims to improve the understanding of teachers, ustadz, and ustadzah regarding the concept, working principles, and potential use of Augmented Reality as an interesting, interactive, and character-appropriate learning medium for students in Islamic boarding schools. The main problem faced by partners is the low basic understanding of Augmented Reality among educators and the absence of specific activities that systematically introduce Augmented Reality in the learning context. As a solution, the Community Service team developed an introductory program that explains the basic concepts of Augmented Reality, examples of its application in education, and opportunities for its adaptation to religious and general materials at PPTQ Azzakiyyah. The activity, which was carried out on December 17, 2025, was considered successful; participants stated that their understanding and insight into Augmented Reality increased, the material was clear and relevant, and the level of satisfaction was in the very good category. The results of the questionnaire showed that all aspects of the assessment were in the good category, so that this Community Service was effective in increasing the empowerment of partners in literacy and initial readiness to utilize Augmented Reality as a learning support. This program also opens up insights that AR can be integrated selectively without abandoning Islamic values and becomes an important foundation for further training, development of Augmented Reality-based learning media, and strengthening ongoing cooperation between universities and Islamic boarding schools.
Co-Authors Andi Nurkholis Andrey Ferriyan Ariesta Damayanti Budi Suyanto Yuli Fauziah