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All Journal Jurnal Ilmu Kedokteran (Journal of Medical Science) Jurnal Adijaya Multidisiplin
Muhammad Kurnia Caesar
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Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Tungau Debu Rumah dan Faktor Risiko yang Terkait Pada Rumah Siswa SDN 001 Buluh Cina Kabupaten Kampar Provinsi Riau Muhammad Kurnia Caesar; Lilly Haslinda
Jurnal Ilmu Kedokteran Vol 14, No 2 (2020): Jurnal Ilmu Kedokteran
Publisher : Fakultas Kedokteran Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26891/JIK.v14i2.2020.86-93

Abstract

House dust mites (HDM) are organism which may be found in people’s houses around the world. House dust mites can live optimally in the house with humidity above 70%. This study aimed to find out the proportion and risk factors of HDM, and also the relationship in the student’s houses of SDN 001 Buluh Cina, Kampar District, Riau Province. This study was an analytical study with cross sectional design and quota sampling method with 70 respondents. Dust samples were collected from bed, sofa/chair, floor, carpet, and ventilation of student’s houses. The data used in this study and transported for direct microscopic examination of the dust. The data on risk factors obtained from questionnaire. Based on microscopic examination, proportion of HDM positive in this study was 47,1%. Risk factors analysis showed that most respondents have private house status (82,9%), good interpretation of frequency of cleaning the bed (54,3%) and area of ventilation (80%), ceramic floor type (68,5%), and  synthetic bed type (78,5%). Analysis of the relationship between the presence of HDM and risk factors showed that there was a significance difference between risk factor type of bed with the presence of HDM (p < 0,05).
Peran Artificial Intelligence (AI) dalam Diagnostik Radiologi: Tinjauan Terkini tentang Aplikasi dan Tantangan di Indonesia Muhammad Kurnia Caesar
Jurnal Adijaya Multidisplin Vol 3 No 02 (2025): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam dekade terakhir, Artificial Intelligence (AI) telah menjadi sorotan utama dalam bidang kesehatan, khususnya dalam diagnostik radiologi. Teknologi ini menjanjikan peningkatan efisiensi serta akurasi dalam analisis citra medis. Namun, penerapannya di Indonesia masih menghadapi berbagai tantangan, baik dari segi teknologi, regulasi, maupun sumber daya manusia. Literatur ini bertujuan untuk meninjau secara komprehensif aplikasi AI dalam diagnostik radiologi di Indonesia, serta tantangan yang dihadapi dalam proses implementasinya.
Co-Authors Lilly Haslinda