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Go Digital dan GATI: Strategi Inovatif untuk Pemberdayaan UMKM dan Pencegahan Stunting di Desa Trosemi
Adhisa, Ryan Rizki
; Mahena, Helen Sapni
; Putri, Atikah Pradika
; Ali, Bashirul
; Farhatu Anisa Setiawan
; Putri, Febiola Anggita
; Nuraeni, Irna
; Fahri, Ivan Bahtiar Al
; Andini, Manna
; Rosjadi, Sahda Salsabila
; Setiawan, Arif
Buletin KKN Pendidikan
Vol 7
, No 1
(2025)
Kuliah Kerja Nyata Muhammadiyah Aisyiyah (KKNMAs) di Desa Trosemi bertujuan untuk mengatasi dua permasalahan utama, yaitu rendahnya adopsi digital oleh pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) serta tingginya angka stunting pada anak-anak. Program ini terdiri dari dua kegiatan utama: Go Digital, yang berfokus pada pelatihan digitalisasi UMKM melalui pembuatan website, penggunaan e-commerce, dan manajemen bisnis berbasis digital, serta GATI (Gadon Hati sebagai Pemberian Makanan Tambahan), y...
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Implementation of the K-Nearest Neighbor (KNN) Algorithm in Handwritten Digit Pattern Recognition Using the Zoning Method
asmaraloka, afilda maharani
; Asmaraloka, Afilda Maharani
; Nisa, Kharisatun
; Hermansyah, Muhammad Ardi
; Saputra, Fikri Hamdhan Dwi
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through seve...
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KNN-Based Handwritten Digit Classification with Accuracy Analysis and Visualization
Maulana, Muhammad Rizky
; Maulana, Muhammad Rizky
; Nugroho, Adiv Prasetyo
; Adinata, Ferdyan Candra
; Haidar, Nova Briyan
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten dig...
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The Relationship Between The Degree Of Arcus Pedis And The Degree Of Vertebral Curve In Children
Naufal, Adnan Faris
; Putri , Nuristiqomah Dwi
; Setiawan, Arif
; Kurnia, Pramudya
; Fitri, Anida Azkia
FISIO MU: Physiotherapy Evidences
Vol 6
, No 1
(2025)
Background: Spinal health is the most important part of a child's body posture. Age 2-6 years is a period of rapid growth and during this period the vertebral curve will develop rapidly too. The greater the degree of lateral vertebral curve, the more it will result in a posture abnormality called scoliosis. One of the factors that influences body posture abnormalities is the degree of arcus pedis, which normally forms in the first five years of development in children aged 2-6 years. The degree...
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The Relationship Between Leg Length Discrepancy and Scoliosis in Children Aged 4-6 Years
Naufal, Adnan Faris
; Pristianto, Arif
; Dewangga, Mahendra Wahyu
; Setiawan, Arif
; Arifah, Izzatul
; Susilo, Taufik Eko
; Karyanto, Muhammad Dhaffa
FISIO MU: Physiotherapy Evidences
Vol 5
, No 2
(2024)
Introduction: Scoliosis is defined as the lateral curvature of the spine reaching an angle of 10 degrees or more on coronal radiographs when an individual is standing. According to data from the World Health Organization (WHO), around 3% of the global population is at risk of experiencing scoliosis, while in Indonesia, the prevalence of scoliosis ranges between 3% and 5%. Leg length discrepancy is a situation where the length of both lower extremities is unbalanced. Leg length discrepancy can le...
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