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Classification of gastric tissue images based on texture characteristics using the Random Forest method Hesti Windyasari; Putri Zulfikah; Hanin Aisya Fakihati; Nabila Triwahyuni Handayani; Fitria Kholbi Azizah; Wahyu Malda Sere
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 1 (2024): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Gastric cancer is a group of malignant diseases caused by many factors, including genetics, lifestyle, and environment. This study aims to create additional tools for distinguishing gastric cancer and normal in microphysical biopsy images from the Kaggle database; the dataset includes 98 gastric cancer and 95 normal. The method used in this research utilizes the coarse and delicate nature of the extracted image based on Histogram and Gray Level Co-occurrence Matrix (GLCM) texture features. Image classification uses the Random Forest method in WEKA software. The results showed that the highest accuracy was 94% in folds 15, 20, and 25, while the lowest accuracy was 93% in folds 5 and 10. This research can be an additional tool for differentiating microphysical biopsy images.
Study of the Impact of Dzun Nuun Prayer on Brain Wave Patterns of Adolescents with Overthinking Symptoms Through Electroencephalography (EEG) Examination Putri Zulfikah; Heni Sumarti; Istikomah
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Overthinking is a psychological disorder characterized by excessive, repetitive thoughts. The Dzun Nuun prayer is believed to be a spiritual approach capable of calming the mind and can be examined through the activity of alpha and beta brain waves. This study aims to determine the normalized intensities of alpha and beta waves before and after the administration of the Dzun Nuun prayer stimulus, and to assess its effect on overthinking among adolescents. The research employed a quantitative, experimental method using an Electroencephalography (EEG) device. The subjects were 20 final-year university students experiencing overthinking, and the data were analyzed using a Paired-Samples T-Test. The results showed increased intensities of alpha waves (0.05–0.30) and beta waves (0.01–0.13) following the Dzun Nuun prayer stimulus. Statistical testing revealed significant effects on both alpha (p = 0.026) and beta waves (p = 0.039), indicating a meaningful influence. In conclusion, the Dzun Nuun prayer has a positive effect on brain activity, reducing overthinking symptoms by enhancing relaxation and focus-related brain waves.