Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA
Fadhilla, Cut Alna
Universitas Samudra
Computer Science & IT

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

Found 2 Documents
Search

 1 
Analisis Tren Luas Wilayah dan Produksi Kelapa Sawit di Provinsi Aceh: Studi Kuantitatif dan Prediktif Fadhilla, Cut Alna; Gunawan, Chichi Rizka; Sofia Amriza, Rona Nisa
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 1 (2025): April 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i1.23928

Abstract

Palm oil is a strategic commodity that plays an important role in the economy of Aceh Province. This study aims to analyze the trend of changes in the area of oil palm plantations and their production results using quantitative data from recent years, as well as to predict palm oil production for the next five years. The methods used include descriptive statistical analysis to identify development patterns and predictive models based on time series forecasting to accurately estimate future trends. The results of the study show a significant increase in the area of land and oil palm production in several main districts, with Nagan Raya as the largest contributor. The prediction of harvest results for the next five years indicates a positive trend that can be used as a basis for planning the development of the plantation sector. These findings provide important information for policy makers and industry players in making strategic decisions to increase the productivity and sustainability of the oil palm business in Aceh Province. Keywords: Palm Oil Production, Area Analysis, Prediction Model
Deteksi Penyakit Mata Menggunakan Algoritma Region Growing Gunawan, Chicha Rizka; Bengi, Mahara; Gunawan, Chichi Rizka; Fadhilla, Cut Alna
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 2 (2025): November 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i2.27908

Abstract

Medical image processing is a data manipulation process aimed at producing new images with improved quality. The primary objective of medical image processing is to obtain information, perform screening procedures, and support disease diagnosis, one of which is eye diseases. Nodules, as one of the indications of eye diseases, are generally analyzed visually by physicians. This study develops an algorithm to detect nodules in eye CT scan images based on the morphological characteristics of nodules, which are generally circular in shape. The experimental results show that the nodule area can be calculated based on the number of pixels forming the nodule region. In several image slices, the nodule area cannot be detected due to the condition where the nodule is attached to other parts of the eye. The developed algorithm is capable of detecting nodules in multiple eye CT scan slices and calculating the nodule area in each image slice. Therefore, the proposed nodule detection algorithm is expected to assist physicians in diagnosing eye diseases more accurately and objectively. Keywords: Detection, Region Growing, Eye Disease, Medical Image Processing, Nodule
Co-Authors Bengi, Mahara Gunawan, Chicha Rizka Gunawan, Chichi Rizka Rona Nisa Sofia Amriza