Article Per Year (5 Year)
p-Index From 2020 - 2025
1.922
P-Index
This Author published in this journals
All Journal JurTI (JURNAL TEKNOLOGI INFORMASI) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA CCIT (Creative Communication and Innovative Technology) Journal Djtechno: Jurnal Teknologi Informasi Journal of Informatics Management and Information Technology Prosiding Snastikom Jurnal Ilmu Komputer dan Sistem Informasi
Sumi Khairani
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Implementasi Metode K-Nearest Neighbor Untuk Klasifikasi Penyakit Tanaman Mentimun Pada Citra Daun Ratna Indah Juwita Harahap; Sumi Khairani; Rismayanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.123

Abstract

Cucumber is a vegetable that is widely consumed by Indonesian people. However, cucumber plants are susceptible to disease attack which causes substantial yield loss. Examples of disease in cucumber plants are downy mildew, powdery mildew, and cucumber mozaic virus. This disease can be recognized visually because it has a characteristic color and texture. Through an image, information can be learned about the cucumber plant disease. This study aims to build a disease classification system on cucumber leaf images so that it can provide information on the type of disease. The application of the system consisting of pre-processing, feature extraction, classification, and evaluation stages. The pre-processing stages resizes the RGB image and then converts it to Grayscale. The feature extraction stage uses the GLCM (Gray Level Co-Occurence) method. The classification stage uses the K-NN (K-Nearest Neighbor) algorithm. Evaluation stage is a confusion matrix. The results of the cucumber leaf disease classification test used the K-Nearest Neighbor algorithm, produced the best accuracy value by using the neighborhood value k=1 reaching 90%.
Sistem Deteksi Jenis Kendaraan Metode YOLOv4 Untuk Mendukung Transportasi Cerdas Kota Medan Pramana Putra, M Rizky; Haida Dafitri; Sumi Khairani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 2 (2024): Mei 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i2.125

Abstract

This research discusses the evaluation and implementation of the YOLOv4 model in detecting and tracking vehicle types in the context of road traffic. To address the research questions, the study examined the model's performance across various aspects. The results indicate that the YOLOv4 model achieved a Mean Average Precision (mAP) of 77.88% on the training dataset after 7000 iterations. The model exhibits a commendable ability to detect different vehicle types within images, with varying accuracy rates across distinct classes. The developed application within this study can record detection data for every frame within a video sequence, providing crucial information for analyzing vehicle density on roads. Despite its relatively high accuracy level, errors persist in object detection and labeling. In conclusion, this research offers insights into the capabilities and potential of the YOLOv4 model in addressing challenges related to vehicle detection in road traffic, while also identifying areas that warrant further improvement.
Aplikasi Stop Motion Menyampaikan Informasi tentang Gizi Seimbang Kepada Publik Suriati; Sumi Khairani
Journal of Informatics Management and Information Technology Vol. 4 No. 2 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i2.396

Abstract

Video media in the field of information technology is currently used for documentation and communication. Such as video recordings, advertisements and so on can now be processed and processed using a computer. One type of video that is included in interesting animation is the stop motion method. Stop motion animation is animation that is packaged in the form of images where the objects are photographed one by one according to the movement of the object or the movement of the desired object. In this research, the stop motion method was implemented which was packaged in an application designed using the Macromedia Flash application. The Flash application will display stop motion videos that have been made and added with theoretical features about balanced nutritional information. Information about balanced nutrition will be presented in the form of a flash application, and also a stop motion video that has been created
Co-Authors Ahmad Muammar Lubis Ananda Fahmi Andre Aulia Angga Rahma Zagitha Siregar Bela Hafizil Dharmawati Dharmawati Dorlika Safitra Harefa Emma Yurispa Siregar Fhery Agustin Haida Dafitri Ilham Faisal Muhammad Adib Hidayah Nur Wulan Pramana Putra, M Rizky Ratna Indah Juwita Harahap Rekky Tinendung Rismayanti Rizky Ramadhana Siti Sundari Suriati