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The Impact of Data Augmentation Techniques on the Recognition of Script Images in Deep Learning Models Sapitri, Wulan; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Mahmud, Mahmud
JOIN (Jurnal Online Informatika) Vol 8 No 2 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i2.1073

Abstract

Deep learning technology is widely used for recognizing character images, including various regional characters and diverse ancient scripts. Deep learning models require large data sets to recognize images accurately. However, creating a dataset has limitations in terms of quantity, including the Komering script dataset used in this study. Data augmentation techniques can be applied to expand the dataset by modifying existing images to increase data diversity. This study aims to investigate the impact of augmentation techniques on the performance of deep learning models in the case of Komering script recognition. The dataset consists of 500 images for five classes of Komering script characters. Three augmentation techniques, namely random rotation, height shift, and width shift, were applied to the five characters, which were then used to test the model trained to recognize characters in the Komering dataset. This research contributes to providing insights into the effect of augmentation techniques on robust confidence prediction of deep learning models for recognizing newly augmented data. The results demonstrate that the deep learning model can recognize modified data using augmentation techniques with an average accuracy of 80.05%.
PENGENALAN PENJUALAN ONLINE MELALUI MEDIA SOSIAL KUE BAY TAT IBU RIKA DI KOTA BENGKULU Sapitri, Wulan; Afriani, Sulisti; Hanila, Siti; Ariska, Yesi Indian; Handayani, Sri
Jurnal Semarak Mengabdi Vol 4 No 1 (2025): Januari
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v4i1.203

Abstract

Kue Bay Tat merupakan salah satu makanan khas tradisional yang terkenal di daerah Bengkulu. Metode observasi langsung dilakukan untuk mengamati setiap tahapan dalam pembuatan kue tat tersebut. Tujuannya adalah untuk mengetahui bagaimana pemanfaatan media sosial (Intagram) untuk sarana berbelanja online. Perkembangan bisnis melalui media social semakin hari semakin meningkat, seiring dengan meningkatnya pengguna internet di dunia trutama di Indonesia. Media social Instagram telah menjadi salah satu sarana promosi produk yang memiliki prospek sangat baik saat ini. Intagram dengan segala kelebihanya telah memiliki pasar yang sangat luas di seluruh dunia. Selain itu mengingkatkan penjualan Kue Tat dengan memanfaatkan media sosial. Hasil pengamatan menunjukkan bahwa proses penjualan kue Bay Tat lebih mudah melalui media sosial. Selain itu cara pembuatan Kue Bai Tat termasuk persiapan bahan, pencampuran, pembentukan adonan. Selain itu, juga terdapat proses finishing yang meliputi penambahan topping khas dan pengemasan. Identifikasi ini memberikan pemahaman yang lebih dalam tentang tradisi pembuatan kue Bay Tat serta potensi untuk pengembangan lebih lanjut dalam konteks kuliner lokal Kota Bengkulu.
Factors Affecting Work Stress Among Employees At The Muara Pinang Inpatient Health Centre In Empat Lawang District, South Sumatra Province Sapitri, Wulan; Anggriani , Ida; Kurniawan , Kimas
Journal of Accounting and Management Vol. 2 No. 2 (2025): December
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jam.v2i2.1023

Abstract

The purpose of this study is to find out the Factors That Affect Work Stress of Employees of the Muara Pinang Inpatient Health Center, Empat Lawang Regency, South Sumatra Province. This study uses a quantitative method. Based on the results of the analysis, the regression equation was obtained: Y = -1.219 + 0.002X₁ + 0.164X₂ + 0.732X₃. The results of the partial test (t-test) showed that the Individual Factor (X₁) had no significant effect on Work Stress with a t-count value = 0.049 < t-table = 1.974 and a significance of 0.961 > 0.05. Organizational Factor (X₂) had a positive and significant effect on Work Stress with a t-count value = 3,294 > t-table = 1.974 and significance 0.001 < 0.05. Environmental Factor (X₃) is the most dominant variable with t-calculated values = 14,622 > t-table = 1.974 and significance 0.000 < 0.05. Simultaneously, the results of the F test showed that the three variables had a significant effect on Work Stress with a value of F-calculation = 83,918 > F-table = 2.66 and a significance of 0.000 < 0.05. The value of the determination coefficient (R²) = 0.603 showed that Individual Factors, Organizational Factors, and Environmental Factors were able to explain 60.3% of the variation in Work Stress, while the remaining 39.7% were explained by other variables outside of this study. Thus, it can be concluded that the increase in employee Work Stress is more influenced by organizational conditions and work environment than individual factors.