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Menampilkan 61–70 dari 127 artikel
Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost
Ako, Rita Erhovwo
; Aghware, Fidelis Obukohwo
; Okpor, Margaret Dumebi
; Akazue, Maureen Ifeanyi
; Yoro, Rume Elizabeth
; Ojugo, Arnold Adimabua
; Setiadi, De Rosal Ignatius Moses
; Odiakaose, Chris Chukwufunaya
; Abere, Reuben Akporube
; Emordi, Frances Uche
; Geteloma, Victor Ochuko
; Ejeh, Patrick Ogholuwarami
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Customer attrition has become the focus of many businesses today – since the online market space has continued to proffer customers, various choices and alternatives to goods, services, and products for their monies. Businesses must seek to improve value, meet customers' teething demands/needs, enhance their strategies toward customer retention, and better monetize. The study compares the effects of data resampling schemes on predicting customer churn for both Random Forest (RF) and XGBoost ense...
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22 Sitasi
Dampak Pencemaran Udara terhadap Kesehatan Masyarakat di Perkotaan
Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Vol 3
, No 3
(2024)
Urban air pollution is a critical environmental issue, significantly impacting public health. This study examines the sources of urban air pollution, types of pollutants, and their health effects. Methods include literature review and analysis of health data from urban populations. Findings reveal that exposure to pollutants such as PM2.5, NO2, and O3 leads to respiratory and cardiovascular diseases, reduced lung function, and increased mortality rates. The study highlights the need for sustaina...
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PENINGKATAN KAPASITAS MASYARAKAT DALAM PENENTUAN PRIORITAS PENGEMBANGAN DESA WISATA
Jurnal Pengabdian Masyarakat Unwahas
Vol 9
, No 1
(2024)
Pariwisata adalah satu sektor baru yang dapat mempercepat pertumbuhan ekonomi melalui peningkatan kesempatan kerja, pendapatan, dan standar hidup suatu negara. Untuk pembangunan desa, seluruh masyarakat harus berpartisipasi secara aktif. Salah satu masalah yang muncul adalah bahwa sebagian besar masyarakat tidak memahami dengan baik cara untuk menentukan skala prioritas. Hal ini mendukung pentingnya menerapkan program pengabdian kepada masyarakat untuk meningkatkan partisipasi masyarakat dan kap...
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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
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
DAMPAK PENERAPAN DIGITAL MARKETING PADA PENGEMBANGAN BISNIS (STUDI KASUS PADA USAHA KULINER NYAMM AYAM DI SALATIGA)
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 3
, No 1
(2024)
Perkembangan Teknologi Informasi yang pesat menyebabkan munculnya berbagai model digital marketing, yang diharapkan memiliki dampak signifikan bagi perkembangan sebuah usaha. Penelitian ini bertujuan untuk mengamati sejauh mana pengaruh penerapan model digital marketing terhadap perkembangan peningkatan sebuah usaha. Studi kasus dilakukan pada bisnis kuliner Nyamm Ayam di Salatiga, yaitu sebuah bisnis yang melayani penjualan masakan ayam dengan berbagai kreasi dan menu pilihan dengan cita rasa n...
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2 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...
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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
PENDAMPINGAN PERENCANAAN WISATA DAERAH TEPIAN AIR Desa Kadibolo Kecamatan Wedi Kabupaten Klaten
Abdi Teknoyasa
(2023)
Desa Kadibolo terletak di Kecamatan Wedi Kabupaten Klaten. Desa ini memiliki luas hampir 114 ha, tetapi sebagian besar atau hampir 80 % adalah tanah pertanian. Desa ini juga dilewati Sungai Getuk yang cukup luas dengan bantaran sungainya. Sungai Genuk sebenarnya sangat potensi untuk dijadikan kawasan wisata, tetapi sampai sekarang masyarakat belum dapat mengembangkannya secara maksimal. Keterbatasan infra struktur dan fasilitias pendukung lainnya masih dikelola secara swadaya oleh masy...
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