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Menampilkan 11–20 dari 57 artikel
Training and Implementation of Smart Career Application for Students for Career Planning in Vocational High Schools
Indonesian Journal of Empowerment and Community Service
Vol 6
, No 1
(2025)
Vocational high school education is an important path to foster skilled professionals with skills in accordance with their fields and is increasingly attracting attention in the world of work. Vocational education emphasizes the development of practical skills and vocational competencies of students. This equips them with the ability to adapt quickly to market demands and contribute to social and economic development, one of which is at SMK Harapan Mulya Kendal. Along with the advancement of glo...
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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
Asistensi Penerapan Nilai-Nilai Islami dalam Pembelajaran Akidah Akhlak di MTS Darunnajah
Tomi Bidjai
; Kusno Setiadi
; Resti Riancana
; Vini Desiyanti Monoarfa
; Nurhajja M Hadji
; Adrianto Adrianto
; Irma Irma
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 1
(2025)
The application of Islamic values in learning aqidah and akhlak at MTs Darunnajah aims to shape students' characters in accordance with Islamic teachings. This activity is carried out to improve the understanding and practice of Islamic values in students' daily lives. The method used is a participatory approach, involving teachers and students in designing and implementing learning programs. The activity begins with a survey and observation to determine the conditions and needs of teaching...
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Feature Fusion with Albumentation for Enhancing Monkeypox Detection Using Deep Learning Models
Pratama, Nizar Rafi
; Setiadi, De Rosal Ignatius Moses
; Harkespan, Imanuel
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Giv...
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15 Sitasi
PERTUMBUHAN TANAMAN BAYAM BRAZIL (Althernanthera sisso hort) YANG DIPUPUK MENGGUNAKAN PUPUK ORGANIK CAIR BERBASIS SLURRY REAKTOR BIOGAS
Mediagro: journal of agricultural sciences
Vol 20
, No 3
(2025)
Organic fertilizers have begun to be widely used in agriculture as an effort to restore soil productivity. One example of organic fertilizer is liquid organic fertilizer which has been widely applied to support the growth of cultivated plants because of the abundance of sources and benefits. Slurry-based liquid organic fertilizers, especially from human waste, have not been widely used as research. The main raw material of this fertilizer is human waste bio-slurry and the plant that is tested is...
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A Quantum Circuit Learning-based Investigation: A Case Study in Iris Benchmark Dataset Binary Classification
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in pe...
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4 Sitasi
Evaluasi Keamanan Website dengan Menggunakan Metode NIST SP 800-115
Populer: Jurnal Penelitian Mahasiswa
Vol 3
, No 4
(2024)
Perkembangan teknologi yang semakin meningkat seiring dengan berjalanya waktu dimana semua pengguna harus mempelajari teknologi yang semakin berkembang. Dengan perkembangan yang semakin meningkat maka ancaman dalam pengguna internet akan semakin meningkat akan serangan siber dengan mencuri data atau informasi peribadi melalui website. Maka perlu dilakukan pengujian kerentanan keamanan pada website untuk mengurangi ancaman dari serangan siber dengan memberikan solusi yang dapat digunakan sebagai...
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Korelasi antara Faktor Produksi dengan Pendapatan Petani Ubi Jalar Anggota Kelompok Tani Hurip Desa Cikarawang Kecamatan Dramaga Kabupaten Bogor
Mediagro: journal of agricultural sciences
Vol 20
, No 3
(2024)
Abstract Sweet potato is a part of the food commodity that has the potential to develop agri-food business in Indonesia, especially in Cikarawang Village, Dramaga District, Bogor Regency. Increasing the amount of sweet potato production requires the use of appropriate production inputs, so that it can affect farmers' income. This research aims to analyze income, profitability, and the correlation of production factors with the income of sweet potato farmers in the Hurip Farmer Group.This resear...
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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
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