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All Journal Journal of Research and Publication Innovation APPA : Jurnal Pengabdian Kepada Masyarakat
Tubagus Iqbal Pratama
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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Training Basic Microsoft Office Karang Taruna RW05 Bintaro Aang Suryana; Ardyansyah; Gian Athallah; Ivan Swandi Hulu; Jehezkiel Manuel Vianto; Krisna Fadila Rahman; Muhammad Adi Setiawan; Saiful Ikhlas; Tubagus Iqbal Pratama; Wildan Nur Alif
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 1 No 3 (2023): APPA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Training Basic Microsoft Office Karang Taruna RW05 Bintaro adalah sebuah pelatihan yang bertujuan meningkatkan pemahaman dan keterampilan dasar dalam menggunakan Microsoft Office. Peserta akan belajar mengoperasikan Word, dan Excel untuk meningkatkan efisiensi kerja dan kualitas dokumentasi serta presentasi. Pelatihan ini akan berfokus pada pendekatan praktik dan interaktif untuk memastikan peserta menguasai materi dengan baik. Tujuan akhirnya adalah memberikan dampak positif pada kegiatan Karang Taruna RW05 Bintaro dan memajukan komunitas setempat
IMPLEMENTASI METODE TEOREMA BAYES UNTUK APLIKASI DIAGNOSA PENYAKIT TENGGOROKAN TONSILITIS DAN FARINGITIS PADA MANUSIA Tubagus Iqbal Pratama
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
Publisher : Journal of Research and Publication Innovation

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Tonsillitis and pharyngitis, common throat infections, can negatively impact quality of life if not diagnosed and treated promptly, potentially leading to more serious complications. Given the urgency of early diagnosis and constraints such as limited time and accessibility to healthcare facilities that often hinder initial treatment, developing a self-diagnosis tool is crucial. Therefore, this study focuses on developing a web-based expert system that helps the general public detect tonsillitis and pharyngitis early. The system adopts Bayes' Theorem, a probabilistic approach proven effective in managing data uncertainty and generating probability estimates based on user-reported symptoms. Bayes' Theorem was chosen based on its ability to adjust the probability of a hypothesis—in this case, a disease diagnosis—when new evidence, such as additional symptoms, is introduced. This web application is designed to support early decision-making, enabling users to identify symptoms and receive early treatment recommendations. The study's findings demonstrate that the system is capable of generating diagnoses with a satisfactory level of accuracy, demonstrating its potential as a reliable tool for providing initial guidance and encouraging the public to consult medical professionals when necessary.
Co-Authors Aang Suryana Ardyansyah Gian Athallah Ivan Swandi Hulu Jehezkiel Manuel Vianto Krisna Fadila Rahman Muhammad Adi Setiawan Saiful Ikhlas Wildan Nur Alif