Articles | Sciaria - Science Aria

Developing automated trading strategies that achieve stable returns while controlling risk remains a central threat in quantitative finance. Many rein...

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This paper presents a compelling approach to developing more robust and risk-aware automated stock trading strategies, addressing critical limitations...

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Nora Fitaria, Dedi Darwis

Analisis Kinerja Decision Tree dan Naïve Bayes Pada Klasifikasi Tingkat Kepuasan Masyarakat

Informatics

The Public Satisfaction Survey (SKM) is an official instrument used by the government to evaluate public service performance as stipulated in Regulati...

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This study addresses a pertinent gap in the utilization of Public Satisfaction Survey (SKM) data within government agencies, which traditionally limit...

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Eka Wahyu Utami, Defri Kurniawan

Optimasi Hyperparameter Random Forest untuk Klasifikasi Depresi Mahasiswa Menggunakan GridSearchCV dan RandomizedSearchCV

Informatics

Student mental health is an important issue that requires a data-driven approach to support the classification process of student depression. This stu...

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This study presents a timely and well-structured approach to classifying student depression, a critical issue in contemporary education. The authors e...

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Dipo Paudro Tirto Prakoso, Sugiyanto Sugiyanto

Deep Fake Image Detection Using Vision Transformer with Random Oversampling Technique

Informatics

Recent developments in deep learning have facilitated the generation of visually convincing deepfake images, creating serious concerns for the reliabi...

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This paper presents a timely and relevant contribution to the critical field of deepfake image detection, addressing the growing concerns about the re...

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Reza Ramadhon Aditya, Arry Maulana Syarif

Deteksi Cyberbullying pada Komentar Media Sosial Berbahasa Indonesia Menggunakan Pendekatan Hibrida IndoBERTweet- BiLSTM

Informatics

Cyberbullying on Indonesian-language social media has become a serious issue with significant psychological and social consequences, necessitating the...

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The paper "Deteksi Cyberbullying pada Komentar Media Sosial Berbahasa Indonesia Menggunakan Pendekatan Hibrida IndoBERTweet-BiLSTM" addresses a highly...

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Pendi Pendi, Heni Sulistiani

Klasifikasi Kesehatan Mental Menggunakan Support Vector Machine Berdasarkan Screen Time dan Interaksi Sosial Digital

Psychology

Mental health is an important aspect that influences the quality of life of individuals, especially in adolescents and young adults who are vulnerable...

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Ahmad Nabilul As'ad, Elkaf Rahmawan Pramudya

Implementasi Deep Learning Berbasis MobileNetV2 untuk Deteksi Real-Time Bacterial Spot dengan Pendekatan Arsitektur Lightweight

Informatics

Bacterial spot caused by Xanthomonas campestris pv. vesicatoria is a critical disease in bell peppers that can reduce productivity...

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Nasya Vhazira, Irmayatul Hikmah, Mas Aly Afandi

Performance Analysis of Quantum Long Short-Term Memory (QLSTM) Models for TLKM Stock Price Prediction

Finance

Stock price prediction is a challenging task due to its nonlinear, dynamic, and temporal characteristics, yet accurate forecasting models are crucial...

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This paper tackles the intricate problem of stock price prediction, specifically focusing on the volatile PT Telkom Indonesia Tbk (TLKM) stock. It eff...

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Noris Mestika, Aji Supriyanto

Analisis Sentimen Diseminasi Produk Iklim Menggunakan Metode Recurrent Neural Network (RNN) dalam Klasifikasi dan Density-Based Spatial Clustering of Applications with Noise (DBSCAN) untuk Klasterisasi

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This study addresses a pertinent public health issue in Indonesia, specifically the temporal dynamics of Dengue Hemorrhagic Fever (DHF) and Human Immu...