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All Journal MDP Student Conference Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Fernandi Indi Nizar G
Universitas Multi Data Palembang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Perancangan UI/UX Pada Aplikasi Daily Trade Dengan Menggunakan Metode Design Thinking Muhammad Azril Fahrezi; KGS M Ammar Yazid; Ivan Luthfi Laksono; Fadhil Sa'adat; Fernandi Indi Nizar G; Muhammad Rizky Pribadi
MDP Student Conference Vol 1 No 1 (2022): The 1st MDP Student Conference 2022
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (757.986 KB)

Abstract

Abstract: Daily trade is an application that provides a trading platform for users who want to make crypto transactions, trading aims to make money by selling assets at a lower price than paid. The method used in the design of this application is a design thinking approach. Design Thinking is an iterative method by which we try to understand users and solve problems experienced by users. In order to make a profit in trading, traders must observe prices from time to time and look for patterns to predict future prices. The results and discussion using the Design Thinking method are carried out with procedures that help users who have difficulty in trading become easier to use Abstrak: Daily trade adalah sebuah aplikasi yang menyediakan tempat trading untuk para pengguna yang ingin melakukan transaksi kripto, trading bertujuan untuk menghasilkan uang dengan menjual aset pada harga yang lebih rendah daripada yang dibayarkan. Metode yang digunakan dalam perancangan pada aplikasi ini adalah metode pendekatan design thinking. Desain Thinking merupakan metode berulang dimana kita berusaha memahami pengguna dan menyelesaikan permasalahan yang dialami pengguna. Untuk menghasilkan keuntungan di trading, para trader harus mengamati harga dari waktu ke waktu dan mencari pola untuk memprediksi harga di masa depan. Hasil dan pembahasan menggunakan metode Desain Thinking dilakukan dengan prosedur yang membantu pengguna yang kesulitan dalam trading menjadi lebih mudah menggunakannya.
Pengaruh Konfigurasi Hyperparameter Pada Kinerja YOLOv11 Dalam Deteksi Objek Pohon Kelapa Sawit Fernandi Indi Nizar G; Eka Puji Widiyanto
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/j4khdz72

Abstract

Oil palm (Elaeis guineensis) is a strategic commodity for Indonesia’s economy, however, tree inventory processes in plantation areas are still predominantly manual, requiring considerable time and cost, and posing a high risk of human error. This study analyzes the effect of hyperparameter variations on the performance of the YOLOv11 algorithm for automated oil palm tree detection using UAV imagery. Four key hyperparameters batch size (16 and 32), number of epochs (100 and 150), learning rate (0.01 and 0.001), and optimizer (SGD and AdamW) were evaluated, resulting in 16 training configurations. The dataset, obtained from Roboflow, underwent annotation, augmentation, and preprocessing prior to model training. Model performance was assessed using precision, recall, and mean Average Precision (mAP), followed by additional evaluation at varying confidence and Intersection over Union (IoU) thresholds. Experimental results show that the optimal configuration batch size 16, 100 epochs, a learning rate of 0.001, and the SGD optimizer achieved an mAP50 of 98.3%, with precision and recall values of 95.3% and 94.1%, respectively. The model also demonstrated stable detection performance at a confidence threshold of 0.5 and an IoU threshold of 0.5. These findings highlight the significant effect of hyperparameter tuning on YOLOv11 detection performance and offer insights for enhancing automated tree-counting systems in the plantation sector, enabling more efficient and accurate operational workflows.
Co-Authors Eka Puji Widiyanto Fadhil Sa'adat Ivan Luthfi Laksono KGS M Ammar Yazid Muhammad Azril Fahrezi Muhammad Rizky Pribadi