Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Medical Physics and Biophysics Instal : Jurnal Komputer
Sari Yuliani
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Medicine & Pharmacology Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Kuantisasi dan analisis citra computed radiography pada pemeriksaan sinus paranasal pasien pediatrik dengan metode line profile Sari Yuliani; Lukmanda Evan Lubis; Nurlely Nurlely; Djarwani Soeharso Soejoko
Journal of Medical Physics and Biophysics Vol 5, No 1 (2018)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.67 KB)

Abstract

Pada penelitian ini dilakukan pengujian dari metode line profile, suatu metode kuantisasi citra CR yang memiliki potensi penggunaan sebagai alat bantu bagi ahli radiologi dalam interpretasi citra radiologi. Metode line profile memberikan pertimbangan referensi kuantitatif tambahan dengan obyektivitas tinggi, serta mendeteksi abnormalitas yang mungkin tidak terlihat secara visual. Sampel berupa citra CR dari 45 pasien pediatrik dengan rentang usia 1-5 tahun, 5-10 tahun, dan 10-15 tahun dibagi berdasarkan anatomi yang dijadikan objek kuantisasi yaitu konka nasalis inferior, sinus maksilla, sinus frontal, sinus sphenoid, dan sinus ethmoid, dan dianalisa menggunakan metode line profile. Garis uji (line profile) dibuat dengan posisi dan ukuran tetap terhadap acuan berupa tulang (bony landmark) dengan menggunakan perangkat lunak ImageJ. dan kuantitatif; yakni membandingkan line profile pasien terdiagnosa abnormal dengan baseline dari line profile pasien terdiagnosa normal. Hasil penelitian menunjukkan bahwa secara kualitatif metode ini menunjukkan efektivitas untuk anatomi objek konka nasalis inferior, sinus maksilla, dan sinus frontal dengan kecocokan antara kuantisasi dan hasil diagnosa radiolog sebesar 82%, 81%, dan 100% berturut-turut.  Sedangkan secara kuantitatif metode ini efektif untuk objek sinus maksilla dan sinus frontal dengan tingkat kecocokan 89% pada sinus maksilla dan 50% pada sinus frontal.
Infrastructure Analysis on Technology in PT Sinar Sosro Products Sari Yuliani; Hilda Septiani; Hari Matahari; Fenny Purwani
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.126

Abstract

This article delves into the ways in which PT. Sinar Sosro utilizes product information system technology. One such business is PT Sinar Sosro, which specializes in tea-based soft beverages. When it comes to ready-to-drink tea in bottles, PT Sinar Sosro was an early pioneer in both Indonesia and the global market. This company produces a bottled tea drink called the Botol Sosro. Sosro bottled tea only uses original and natural ingredients. The tea leaves are picked from the plantation itself. Then, it is produced into fragrant tea, namely green tea mixed with jasmine flowers and gambier flowers. So that it produces a unique taste, its distinctiveness is always maintained, and its quality is guaranteed. The tea plantations that provide PT. Sinar Sosro with their raw materials are located in many parts of Indonesia, including the Cianjur, Galrut, Mount Rosa, Mount Manik, Mount Cempaka, Neglasari region, Cukul area, Pangelengan, and Sambawa areas. A number of PT Sinar Sosro's plants are located all across Indonesia. As it has grown, PT Sinar Sosro has expanded its product distribution throughout the archipelago via its network of sales branch offices. Beyond its home market, PT Sinar Sosro has expanded into international trade by supplying non-glass bottles and other one-way packaging items to various nations throughout the globe.
Co-Authors Djarwani Soeharso Soejoko Fenny Purwani Hari Matahari Hilda Septiani Lubis, Lukmanda Evan Yundari, Yundari