Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 21–30 dari 57 artikel
Effect of Firring Heating Rate on the Density, Porosity, Vickers Hardness and Microstructure of the Crucible Specimens
Rusiyanto, R.
; Meiartha, REGA
; Fitriyana, Deni Fajar
; Sudiyono, S.
; setiadi, rizki
; Siregar, Januar Parlaungan
; Ansori, CHUSNI
Majalah Ilmiah Momentum
Vol 20
, No 1
(2024)
Failure in the results of making the crucible is cracking and even deformation. Cracks that occur can cause fluid leakage when melting so that it disrupts the casting process. The quality of the crucible can be influenced by factors including the selection of constituent materials, particle size, the amount of pressure, and the length of the firring process of heat treatment and cooling in the furnace. This study aims to determine the effect of heating rate on crucible made from clay and kaolin...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
27 Sitasi
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...
Sumber Asli
Google Scholar
DOI
27 Sitasi
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
10 Sitasi
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI KOPI ROBUSTA DI KECAMATAN KELING KABUPATEN JEPARA
Mediagro: journal of agricultural sciences
Vol 19
, No 3
(2023)
The study aimed to analyze robusta coffee production and analyze the factors that influence to robusta coffee production in Keling District. The research locations are Tempur Village and Damarwulan Village, Keling District, Jepara Regency. The research method used is a survey method with purposive random sampling, with 100 respondents of robusta coffee farmers. The data analysis method used is descriptive analysis with the production function Cobb-douglas. Research shows that robusta coffee farm...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
14 Sitasi
Berani Bermimpi Menjadi Wirausaha Di Usia Muda
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 2
, No 4
(2023)
Entrepreneurship is no longer something foreign to understand and even do, especially in the current era of globalization and digitalization. Many people understand entrepreneurship and there are even people who have become successful entrepreneurs, but how to become an entrepreneur, how to start or what to do is still unclear. Many people don't understand it, and the same goes for today's young people, there are still some who don't understand how to start becoming an entrepreneur. Even though...
Sumber Asli
Google Scholar
DOI