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KLASIFIKASI TUMOR OTAK JINAK (BENIGNA) DAN GANAS (MALIGNA) MENGGUNAKAN EKSTRAKSI FITUR GLCM DAN SVM rohmawati

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v9i2.1774

Abstract

Brain tumors are a deadly disease that can attack anyone without knowing age. Technology that continues to grow makes the world of health inseparable from technology. One of the technologies used to identify a disease is CT Scan and MRI. Clinically it is difficult to distinguish between benign and malignant brain tumors because like normal brain tissue, doctors can diagnose the disease without having to do surgery. This study aims to detect benign and malignant brain tumors by using extraction of GLCM and SVM features. GLCM is one method for obtaining statistical characteristics by calculating the probability of the neighboring relationship between two pixels at a certain distance and angle orientation. While the SVM method is due to the best class and classification separation and is able to work on high-dimensional datasets. The ct-scan image that is entered will be segmented which will later be extracted using GLCM features, the features used include mean, contrast, correlation, homogeneity, IDM, variance and entropy. After testing, it can be concluded that the accuracy rate is 94.5%. While using the WEKA application is 91.6666% and an error of 8.3334%. Keywords : Classification, Ct- Scan and MRI, brain tumor, GLCM, SVM
Factor Analysis Of Characteristics Of Respondents With Pregnancy Depression At The Bojong Rawalumbu Community Health Center, Bekasi City Pinem, Lina Herida; Bin Sansuwito, Tukimin; Nambyar, Nisha; Rohmawati
Holistic Nursing Plus Vol. 1 No. 2 (2023): Holistic Nursing Plus
Publisher : Sahabat Publikasi Kuu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58439/hnp.v1i2.184

Abstract

Background: Pregnancy is one of the things expected by women in the process of life. However, many women experience difficulties due to physical, social, and psychological changes during pregnancy, there are even some mothers who suffer from psychological disorders such as depression. Perinatal depression occurs in 10-15% of women. One of the causes is a lack of knowledge about the process of pregnancy until the postpartum period which results in birth complications and disrupts the baby's growth and development. Purpose: This study aimed to identify the characteristic factors of respondents associated with prenatal depression. Methods: This research is a quantitative research that uses a cross-sectional design. The sample in this study was 85 respondents of pregnant women using the Edinburgh Postnatal Depression Scale (EPDS) screening tool. Results: The results of this study showed that the factors associated with the incidence of depression in pregnant women were education (p = 0.011), income (P = 0.046), history of domestic violence (p = 0.028), and pregnancy complications (p = 0.043) while the unrelated factors were age (P = 0.098), occupation (P = 0.829) and parity (p = 0.139) with α = 0.05. Conclusion: Education, income, history of domestic violence and history of pregnancy complications affect the incidence of depression in pregnant women. Recommendations: It is expected that the team of health workers, especially midwives and nurses, will not only focus on physical health but mental health also needs attention, and is expected to provide screening services and pregnancy psychology services to identify patients at risk of depression. Keywords: Depression, pregnancy, domestic violence, prenatal.
ANALISIS PENYESUAIAN DIRI MAHASISWA BARU BIMBINGAN DAN KONSELING UNIVERSITAS JAMBI PADA LINGKUNGAN BELAJAR Rohmawati; Rahmah Ramadhoni, Sri; Yanto
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.54596

Abstract

This study aims to determine the level of self-adjustment of new students in the Guidance and Counseling Study Program, University of Jambi, Class of 2025, in the learning environment. The research employs a descriptive quantitative approach using a survey method. A total of 115 students were selected as the sample through total sampling technique, using a Likert scale questionnaire that had been tested for validity and reliability. Data were analyzed using descriptive percentage technique. The results showed that the overall level of self-adjustment was in the high category with an average of 64.49%. By indicator: overt performance 62.13% (high), adjustment to various groups 67.32% (high), personal satisfaction 63.95% (high), and social attitudes 66.01% (high). However, the ability to manage pressure only reached 39.47%, falling into the low category. These findings indicate that although most students have adapted well, some still face difficulties in managing psychological pressure during their transition to higher education. Keywords: Self-Adjustment, New Students, Guidance and Counseling