Dedi Priansyah
Fakultas Ekonomi Universitas Mulawarman

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Segmentasi Lemak Visceral dan Kanker Paru-paru Menggunakan Deep Learning Abdullah, Ifnu Abdul Aziz; Sadikin, Rifki; Rianto, Yan; Priansyah, Dedi
Poltanesa Vol 23 No 2 (2022): Desember 2022
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v23i2.1354

Abstract

Lemak Visceral memberikan dampak yang sangat besar terhadap beberapa penyakit dan salah satunya Kanker paru-paru penyebab utama kematian, Kondisi ini memberikan pengaruh besar dalam dunia kesehatan terhadap permasalahan Lemak visceral dan kanker paru-paru Computer vision menghembalangkan penelitian dari permasalahan yang besar ini computer vision ingin melihat keakuratan penelitian, dengan dataset yang telah di tentukan dengan ini peneliti menggunakan metode deep learning dan di dukung dengan metode Segmentasi-CNN, Segmentation & VFI Calculation. Metode tersebut mampu menampilkan gambar yang tersegmentasi dengan detail dari mengubah warna satu dimensi dan dua dimensi sehingga akan memberikan keakuratan segmentasi, lemak yang telah tersegmentasi daerah gambar lemak dan garis tepinya pada Lemak visceral dan kanker paru-paru memisahkan lemak dan kanker dengan jumlah pixel putih lemak lemah dengan ration area akurat dan Memiliki pixel yang tinggi dan tepat dalam pemrosesan pixel.
An Overview of Anxiety Levels Among Prolanis Participants at the Islamic Center Primary Clinic Samarinda Aminah, Aminah; Adrianto, Ratno; Mahardhika, Rizqa; Priansyah, Dedi
Mulawarman International Conference on Tropical Public Health Vol. 2 No. 2 (2025): The 4th MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Abstract

Background : Anxiety is common among individuals with chronic diseases such as diabetes and hypertension due to lifelong treatment demands and risks of complications. WHO (2022) reported that one in seven adults experiences a mental disorder, with anxiety being the most prevalent. In Indonesia, the burden of chronic diseases continues to rise, often accompanied by psychological distress. The Prolanis program aims to improve chronic disease management through education, monitoring, and support, yet most studies focus on clinical outcomes rather than mental health. Assessing anxiety among Prolanis participants is essential to ensure holistic patient care. Objective : To describe anxiety levels among Prolanis participants at the Islamic Center Primary Clinic in Samarinda using the Generalized Anxiety Disorder-7 (GAD-7) instrument and provide baseline information for integrating mental health monitoring into chronic disease management. Research Methods / Implementation Methods : This quantitative descriptive study was conducted in August–September 2025 among 30 active Prolanis participants selected through accidental sampling. Anxiety was measured using the validated Indonesian version of the GAD-7 questionnaire. Scores were categorized into minimal, mild, moderate, and severe anxiety. Data collection used self-administered questionnaires assisted by enumerators when needed, and results were analyzed descriptively using mean, median, standard deviation, and frequency distributions. Results : Participants generally showed low anxiety levels. The mean GAD-7 score was 3.00 (SD 2.89), with most respondents experiencing minimal or no anxiety (73.3%). Mild anxiety occurred in 16.7% of participants and moderate anxiety in 10%, with no severe cases. These findings indicate good psychological well-being among participants, potentially supported by Prolanis activities such as routine health checks, group education, exercise sessions, and community support. Similar trends have been reported in several previous studies, suggesting that continuous social interaction and psychosocial support may help reduce anxiety in chronic disease patients. Conclusion / Lesson Learned: Most Prolanis participants experienced minimal anxiety, suggesting that Prolanis contributes positively to both physical and mental health outcomes. Regular monitoring, supportive group activities, and community engagement appear to help maintain emotional stability. Mental health screening, staff training in basic psychological assessment, and strengthened family and community support are recommended to enhance comprehensive chronic disease management.