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Menampilkan 1–10 dari 17 artikel
CFD Simulation of Flame Characteristics Resulting from Volatile Matter Combustion of Various Biomass Pellets
Fitrah, Ramavi Akbar Akhsanul
; Kusumaningtyas, Ratna Dewi
; Widjanarko, Dwi
; Widyastuti, Catur Rini
; Hidayat, Muslikhin
; Aziz, Muhammad
While biomass is a promising carbon-neutral alternative to coal, the specific volatile matter (VM) flame characteristics of diverse biomass pellets, particularly water hyacinth, remain under-researched. This study uses a numerical CFD approach (Ansys Fluent) to investigate how varying VM fractions influence flame structure in a 2D planar slice of the furnace block (25 cm width). Simulations employed the SST k–ω turbulence and Eddy dissipation model to capture mixing-limited chemical reactions. B...
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Aspect-Based Sentiment Analysis on E-commerce Reviews using BiGRU and Bi-Directional Attention Flow
Setiadi, De Rosal Ignatius Moses
; Warto, Warto
; Muslikh, Ahmad Rofiqul
; Nugroho, Kristiawan
; Safriandono, Achmad Nuruddin
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Aspect-based sentiment Analysis (ABSA) is vital in capturing customer opinions on specific e-commerce products and service attributes. This study proposes a hybrid deep learning model integrating Bi-Directional Gated Recurrent Units (BiGRU) and Bi-Directional Attention Flow (BiDAF) to perform aspect-level sentiment classification. BiGRU captures sequential dependencies, while BiDAF enhances attention by focusing on sentiment-relevant segments. The model is trained on an Amazon review dataset wit...
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7 Sitasi
Rekonstruksi Narasi Ekonomi dalam Materi Sejarah: Membangun Jiwa Kewirausahaan Siswa Melalui Pembelajaran Berbasis Proyek
Muslikh
; Andriyanto
Keraton: Journal of History Education and Culture
Vol 6
, No 2
(2025)
Pembelajaran sejarah di Indonesia masih didominasi oleh pendekatan hafalan fakta, dengan porsi narasi ekonomi yang minim dibandingkan aspek politik dan militer. Hal ini menghambat siswa dalam memahami dinamika ekonomi historis dan potensi pengembangan jiwa kewirausahaan. Penelitian ini bertujuan untuk merekonstruksi narasi ekonomi dalam materi sejarah melalui pembelajaran berbasis proyek guna membangun keterampilan kewirausahaan siswa. Metode penelitian yang digunakan adalah studi pustaka dengan...
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Integrasi Nilai Kewirausahaan dalam Pembelajaran Sejarah: Analisis Model Pembelajaran Berbasis Tokoh Wirausahawan Sejarah Indonesia
Andriyanto, Andriyanto
; Muslikh
; Ira Pramudawardhani
Keraton: Journal of History Education and Culture
Vol 6
, No 2
(2025)
Transformasi pendidikan menuntut pembelajaran sejarah yang lebih relevan dengan tantangan abad ke-21. Integrasi nilai kewirausahaan dalam pembelajaran sejarah bertujuan untuk menumbuhkan jiwa wirausaha peserta didik dengan mengambil inspirasi dari tokoh-tokoh wirausahawan sejarah Indonesia. Penelitian ini menggunakan metode studi pustaka untuk menganalisis model pembelajaran berbasis tokoh wirausahawan sebagai strategi integrasi nilai kewirausahaan dalam sejarah. Hasil penelitian menunjukkan bah...
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Outlier Detection Using Gaussian Mixture Model Clustering to Optimize XGBoost for Credit Approval Prediction
Setiadi, De Rosal Ignatius Moses
; Muslikh, Ahmad Rofiqul
; Iriananda, Syahroni Wahyu
; Warto, Warto
; Gondohanindijo, Jutono
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
Credit approval prediction is one of the critical challenges in the financial industry, where the accuracy and efficiency of credit decision-making can significantly affect business risk. This study proposes an outlier detection method using the Gaussian Mixture Model (GMM) combined with Extreme Gradient Boosting (XGBoost) to improve prediction accuracy. GMM is used to detect outliers with a probabilistic approach, allowing for finer-grained anomaly identification compared to distance- or densit...
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23 Sitasi
The Correlation betwen housewife's level of knowledge and their behaviour in responding to hoaxs news: HUBUNGAN TINGKAT PENGETAHUAN IBU RUMAH TANGGA TERHADAP PERILAKU MENANGGAPI BERITA HOAX PADA MEDIA WHATSAPP DI KECAMATAN TENJOLAYA KABUPATEN BOGOR
Jurnal Komunitas (Komunikasi Tiada Batas) : Jurnal Ilmu Komunikasi
Vol 10
, No 1
(2024)
by social media. Whatsapp as a social media is the largerst users, which 56% of them are 25 years and over. Meanwhile Kominfo survey stated that 52,5 % internet users admitted they did not first check the truth of news that they received from social media.The purpose of this study was to determine the relationship between housewife knowledge level in responding to hoax news via WhatsApp media in Bogor and how big the relationship is. The method used is correlation with Rank Spearman analysis. Th...
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Pemanfaatan Aplikasi Get Contact Untuk Mengurangi Tingkat Penipuan Jual Beli Online (Pelatihan Kepada Pelaku UMKM di Desa Margosari Limbangan Kendal)
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 4
, No 1
(2024)
Abstract
The Get Contact application is an application that can be easily downloaded for free through Playstore and Appstore. MSME stakeholders in Margosari Limbangan Kendal Village on average promote their products through social media and marketplaces. Online fraud is very rampant in the near future and there is a need for guidance for MSME stakeholders. This community service activity aims to provide knowledge to MSME stakeholders in Margosari Limbangan Kendal Village on how to use the Get Co...
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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
Plant Diseases Classification based Leaves Image using Convolutional Neural Network
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Plant disease is one of the problems in the world of agriculture. Early identification of plant diseases can reduce the risk of loss, so automation is needed to speed up identification. This study proposes a custom-designed convolutional neural network (CNN) model for plant disease recognition. The proposed CNN model is not complex and lightweight, so it can be implemented in model applications. The proposed CNN model consists of 12 CNN layers, which consist of eight layers for feature extractio...
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29 Sitasi
Dataset and Feature Analysis for Diabetes Mellitus Classification using Random Forest
Mustofa, Fachrul
; Safriandono, Achmad Nuruddin
; Muslikh, Ahmad Rofiqul
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Diabetes Mellitus is a hazardous disease, and according to the World Health Organization (WHO), diabetes will be one of the main causes of death by 2030. One of the most popular diabetes datasets is PIMA Indians, and this dataset has been widely tested on various machine learning (ML) methods, even deep learning (DL). But on average, ML methods are not able to produce good accuracy. The quality of the dataset and features is the most influential thing in this case, so deeper investment is needed...
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36 Sitasi