Article Per Year (5 Year)
p-Index From 2021 - 2026
2.036
P-Index
This Author published in this journals
All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Kontinu: Jurnal Penelitian Didaktik Matematika NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Zero : Jurnal Sains, Matematika, dan Terapan AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM El-Usrah: Jurnal Hukum Keluarga Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Fundamental Mathematics and Applications (JFMA) Fraction: Jurnal Teori dan Terapan Matematika The Indonesian Journal of Computer Science
Dhea Urfina Zulkifli
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Navigating Post-Covid-19 Learning: Assessing Curriculum, Facilities, and Human Resource Developments and Challenges Ruswandi, Bambang; Fatihunnada, Fatihunnada; Zulkifli, Dhea Urfina; Zainudeen, Musah Issa
JURNAL AL-TANZIM Vol 7, No 3 (2023)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v7i3.6062

Abstract

This study aims to analyze learning development and the obstacles experienced by the Nahdlatul Ulama Islamic boarding school in Bekasi Regency after the COVID-19 pandemic, from curriculum, facilities, and human resources. This study uses a quantitative approach. The research subjects were students and caregivers from three NU Islamic boarding schools in the Bekasi district: Yapink, Nurul Huda Islamic Boarding School, and Indonesian Motivational Islamic Boarding School. The sampling method used in this research is Stratified Random Sampling and Systematic Random Sampling with proportional composition. The sample size was 320 students with sampling error = 0.05, proportion = 0.5, and the standard value of normal distribution at 5% level, z = 1.96. The test results concluded that the quality of student learning in the new average period was generally still relatively low. Educational barriers are a factor that makes the quality of student learning feel less than optimal. This is due to the impact of Covid-19 with the enactment of distance learning, the family economy is affected, and the increase in the price of health facilities, but from an institutional resilience and vulnerability standpoint, it is quite good.
Perbandingan Deteksi Alzheimer: ViT, CNN dan ViT dengan Bobot pada Citra Medis Salsabila, Aisyah Nur; Liebenlito, Muhaza; Zulkifli, Dhea Urfina
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3765

Abstract

Penyakit Alzheimer merupakan suatu tipe demensia yang berpengaruh terhadap ingatan, cara berpikir, dan perilaku. Gejala-gejala tersebut dapat menjadi cukup parah sehingga dapat mempengaruhi kegiatan sehari-hari. Dalam penelitian ini, diperkenalkan aplikasi Convolutional Neural Network (CNN) sederhana dan pre-trained model Vision Transformer (ViT) untuk menganalisis data MRI Scan Alzheimer dengan empat kelas, yaitu Mild Demented, Moderate Demented, Non Demented, dan Very Mild Demented. Pada penelitian ini, dilakukan perbandingan pengaplikasian CNN dengan bobot dan ViT yang dilakukan dengan menggunakan dua cara, yaitu dengan bobot dan tidak. Hasil dari penelitian ini menunjukkan bahwa pengaplikasian ViT dengan bobot menghasilkan akurasi yang lebih tinggi dibanding dengan metode lainnya. Dari penelitian ini, diharapkan dapat menganalisa dan mendeteksi penyakit Alzheimer dalam bidang kesehatan dengan efisien.
Co-Authors Aprilia, Ananda Bambang Ruswandi Bambang Ruswandi, Bambang Devita Apriliani Fahri, Muhamad Fathnin Nur Azmina Fatihunnada, Fatihunnada Firdha Wulandari Kankan Parmikanti MAHMUDI Mahmudi Mahmudi Muhammad Manaqib, Muhammad Muhaza Liebenlito Nina Fitriyati Nina Fitriyati Nuryaman Oktavia Laras Dianingati Riaman Safitri, Issa Bella Salsabila, Aisyah Nur Wijaya, Madona Yunita Yuliawati, Ayu Kinasih Zainudeen, Musah Issa Zharifah, Zharifah Zulkifli Zulkifli