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Skripsi

Optimizing Nglegena Javanese Script Recognition with Zoning and Feature Normalization using Machine Learning / Manuel Tanbica Graciello

Abstrak
This study investigates the application of supervised machine learning algorithms mdash namely K-Nearest Neighbors (KNN) Na iuml ve Bayes Decision Tree and Random Forest mdash for the classification of handwritten Javanese Nglegena script which is vital for the preservation of Indonesia rsquo s cultural heritage. Feature extraction was conducted using a zoning technique wherein each character image was partitioned into multiple zones (16 25 36 and 64) to capture localized structural information. Subsequently the extracted features were normalized utilizing Min-Max Z-Score and Binary normalization methods to ensure uniform data distribution and enhance model performance. The dataset comprised 600 images of handwritten Nglegena characters which were divided into training and testing subsets under various partition ratios. Experimental results indicate that the Na iuml ve Bayes classifier combined with 36-zone feature extraction and either Min-Max or Z-Score normalization achieved the highest classification accuracy of 65%. These findings underscore the significance of optimizing both zoning granularity and normalization techniques to improve the efficacy of machine learning models in recognizing Javanese script. This research contributes to the advancement of Optical Character Recognition (OCR) technologies specific to Javanese script thereby supporting the digital preservation and accessibility of Indonesia rsquo s historical manuscripts and cultural artifacts. The study provides a foundation for future work in computational heritage conservation and the development of culturally informed machine learning applications.

Informasi Detail
DDC
SKRIPSI DIGITAL
Prodi
Universitas Negeri Malang. Program Studi Teknik Informatika, .
Deskripsi Fisik
14 hlm. ; ilus
Bahasa
No Reg
4217/RS/25
Edisi
Skripsi (Sarjana)--Universitas Negeri Malang. 2025
Subjek
1. AKSARA JAWA NGLEGENA
2. FITUR MACHINE LEARNING
3. NGLEGENA JAVANESE SCRIPT
Pembimbing
1. Aji Prasetya Wibawa, S.t., M.mt., Ph.d
Lampiran Berkas