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Enhanced Vision Transformer and Transfer Learning Approach to Improve Rice Disease Recognition
Rachman, Rahadian Kristiyanto
; Setiadi, De Rosal Ignatius Moses
; Susanto, Ajib
; Nugroho, Kristiawan
; Islam, Hussain Md Mehedul
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
In the evolving landscape of agricultural technology, recognizing rice diseases through computational models is a critical challenge, predominantly addressed through Convolutional Neural Networks (CNN). However, the localized feature extraction of CNNs often falls short in complex scenarios, necessitating a shift towards models capable of global contextual understanding. Enter the Vision Transformer (ViT), a paradigm-shifting deep learning model that leverages a self-attention mechanism to trans...
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27 Sitasi
Personal Branding Selebgram Traveller melalui Media Sosial pada Akun Instagram @Dewi_Faj
Jurnal Komunitas (Komunikasi Tiada Batas) : Jurnal Ilmu Komunikasi
Vol 10
, No 1
(2024)
This research was conducted to find out the personal branding of celebgrams through social media on the Instagram account @dewi_faj. This research aim to describe and analyze the personal branding carried out by Dewi Fajar Lestari via the Instagram account @dewi_faj. In this research, the author used eight main concepts in the formation of personal branding according to Peter Montoya dan Tim Vandehey, including specialization, leadership, personality, difference, visibility, constancy, visibilit...
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Enhancing Lung Cancer Classification Effectiveness Through Hyperparameter-Tuned Support Vector Machine
Gomiasti, Fita Sheila
; Warto, Warto
; Kartikadarma, Etika
; Gondohanindijo, Jutono
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precisi...
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27 Sitasi
PELATIHAN MODEL PEMBELAJARAN QUANTUM DI SEKOLAH DASAR PADA GURU-GURU SD MUHAMMADIYAH 3 SURAKARTA TRAINING ON QUANTUM LEARNING MODEL FOR THE TEACHERS OF MUHAMMADIYAH 3 SURAKARTA ELEMENTARY SCHOOL
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 1
, No 1
(2024)
This community service is Training on Quantum Learning Model for the teachers of Muhammadiyah 3 Surakarta Elementary School. It aims to increase learning quality and interactive learning process be enjoying class. Quantum learning helps effectively students to create large chance to see and build many concepts in learning. The concept of bring their world to our world and flow our world to their world be interactive, active and enjoy. By giving interactive chances make students understand more a...
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Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellen...
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33 Sitasi
Exploring DQN-Based Reinforcement Learning in Autonomous Highway Navigation Performance Under High-Traffic Conditions
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Driving in a straight line is one of the fundamental tasks for autonomous vehicles, but it can become complex and challenging, especially when dealing with high-speed highways and dense traffic conditions. This research aims to explore the Deep-Q Networking (DQN) model, which is one of the reinforcement learning (RL) methods, in a highway environment. DQN was chosen due to its proficiency in handling complex data through integrated neural network approximations, making it capable of addressing h...
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5 Sitasi
Music-Genre Classification using Bidirectional Long Short-Term Memory and Mel-Frequency Cepstral Coefficients
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Music genre classification is one part of the music recommendation process, which is a challenging job. This research proposes the classification of music genres using Bidirectional Long Short-Term Memory (BiLSTM) and Mel-Frequency Cepstral Coefficients (MFCC) extraction features. This method was tested on the GTZAN and ISMIR2004 datasets, specifically on the IS-MIR2004 dataset, a duration cutting operation was carried out, which was only taken from seconds 31 to 60 so that it had the same durat...
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29 Sitasi
Hybrid Quantum Key Distribution Protocol with Chaotic System for Securing Data Transmission
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
This research proposes a combination of Quantum Key Distribution (QKD) based on the BB84 protocol with Improved Logistic Map (ILM) to improve data transmission security. This method integrates quantum key formation from BB84 with ILM encryption. This combination creates an additional layer of security, where by default, the operation on BB84 is only XOR-substitution, with the addition of ILM creating a permutation operation on quantum keys. Experiments are measured with several quantum measureme...
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10 Sitasi
Corporate Social Responsibility PT Kereta Api Indonesia (Persero) dalam Penguatan Program Sahabat Difabel
Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Vol 3
, No 1
(2023)
The aim of this research is to find out the process carried out by CSR PT. KAI (Persero) in carrying out programs organized through disabled friends starting from fact finding, planning and programming, taking action and communications, evaluating. Research from this theoretical basis refers to the Four Steps of Public. Relations discovered by Cutlip, Center, and Broom. Referring to the chosen theory, it is able to construct the overall process both in formulating indicators and collecting data...
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Butterflies Recognition using Enhanced Transfer Learning and Data Augmentation
Adityawan, Harish Trio
; Farroq, Omar
; Santosa, Stefanus
; Islam, Hussain Md Mehedul
; Sarker, Md Kamruzzaman
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN Ince...
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14 Sitasi