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DOAJ Open Access

The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters

Data Science in Science, Vol 5, Iss 1 (2026) | ISSN: 2694-1899
Taylor & Francis Group, 2026DOI: 10.1080/26941899.2026.2637296
In scientific applications, predictive modeling is often of limited use without accurate uncertainty quantification (UQ) to indicate when a model may be extrapolating or when more data needs to be collected. Bayesian Neural Networks (BNNs) produce pr...
Repositori Institusi

Prediksi Trend Harga Saham Bbri Menggunakan Algoritma Random Forest Dengan Analisis Teknikal

Thesis
2025
Fluktuasi harga saham yang tinggi menjadi tantangan dalam pengambilan keputusan investasi. Penelitian ini mengembangkan model prediksi arah pergerakan harga saham BBRI menggunakan algoritma Random Forest yang dipadukan dengan indikator teknikal da...
Repositori Institusi

Peningkatan Performa Model Gradient Boosting dalam Klasifikasi Stroke Melalui Optimasi Grid Search

Jurnal Fasilkom UMRI, 2024
This study investigates the effect of hyperparameter optimization with grid search on the XGBoost and LightGBM models in stroke classification. The research results show that parameter optimization significantly improves the performance of both mod...
Jurnal Institusi

Hyperparameter Optimization of IndoBERT for DeepSeek User Sentiment Analysis

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 17 No. 1 (2026): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 80-94
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2026DOI: 10.31849/digitalzone.v17i1.33024https://creativecommons.org/licenses/by-sa/4.0
This study aims to evaluate the performance of the IndoBERT model in sentiment classification of user reviews for the DeepSeek application on the Google Play Store. The reviews were categorized into three sentiment classes: positive, neutral, and neg...
Jurnal Institusi

OPTIMALISASI ALGORITMA SUPPORT VECTOR MACHINE PADA ASPECT-BASED SENTIMENT ANALYSIS MENGGUNAKAN GRIDSEARCHCV

ZONAsi: Jurnal Sistem Informasi; Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025; 271 - 279
Universitas Lancang Kuning, 2025DOI: 10.31849/zn.v7i1.17800Copyright (c) 2025 ZONAsi: Jurnal Sistem Informasi
Support Vector Machine (SVM) merupakan salah satu algoritma Machine Learning yang umum digunakan untuk menyelesaikan permasalahan klasifikasi. SVM sangat baik digunakan untuk klasifikasi biner, tetapi masih kurang optimal dalam melakukan klasifikasi ...
Jurnal Institusi

A HYBRID INTELLIGENCE FRAMEWORK FOR PERSONALIZED EYEWEAR RECOMMENDATION: INTEGRATING HAAR CASCADE LOCALIZATION WITH A GENETICALLY TUNED CNN CLASSIFIER

ZONAsi: Jurnal Sistem Informasi; Vol. 8 No. 1 (2026): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2026; 96 - 110
Universitas Lancang Kuning, 2026DOI: 10.31849/3cy8ft64https://creativecommons.org/licenses/by-sa/4.0
A hybrid intelligence framework was presented to improve eyewear recommendations through robust face shape classification. A Haar Cascade Classifier was integrated for initial facial localization, alongside a Convolutional Neural Network (CNN) based ...
Jurnal Institusi

KLASIFIKASI SENTIMEN MENGGUNAKAN BIDIRECTIONAL LSTM DAN INDOBERT DENGAN DATASET TERBATAS

ZONAsi: Jurnal Sistem Informasi; Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025; 74 - 84
Universitas Lancang Kuning, 2025DOI: 10.31849/zn.v7i1.25091Copyright (c) 2025 ZONAsi: Jurnal Sistem Informasi
Untuk mendapatkan informasi melalui media sosial mengenai popularitas termasuk juga sentimen masyarakat terhadap para tokoh politik, masalah waktu menjadi krusial. Oleh karena itu, menganalisis hal tersebut menggunakan komputer menjadi pilihan. Namun...
Jurnal Institusi

UTILIZATION OF MACHINE LEARNING ALGORITHMS FOR CUSTOMER COMPLAINT CLASSIFICATION AT PERUMDAM

JAISEN: Journal of Advanced Information Systems and Engineering; Vol. 1 No. 1 (2025): JAISEN: Journal of Advanced Information Systems and Engineering ; 9-17
JAISEN: Journal of Advanced Information Systems and Engineering, 2025Copyright (c) 2025 JAISEN: Journal of Advanced Information Systems and Engineering
In today's digital era, managing customer complaints poses a significant challenge for public service providers, such as the Regional Drinking Water Company (PERUMDAM). With the increasing number of customers and the complexity of complaints, ma...
Jurnal Institusi

Optimization of LSTM and GRU Deep Learning Models for Tidal Sea Level Time Series Prediction to Support Early Warning Systems

JAISEN: Journal of Advanced Information Systems and Engineering; Vol. 1 No. 2 (2026): JAISEN: Journal of Advanced Information Systems and Engineering ; 1-11
JAISEN: Journal of Advanced Information Systems and Engineering, 2026Copyright (c) 2026 JAISEN: Journal of Advanced Information Systems and Engineering
Coastal regions are increasingly vulnerable to hazards associated with tidal sea level variability, including recurrent tidal flooding that threatens coastal infrastructure and communities. Accurate tidal prediction is therefore essential to support ...
Jurnal Institusi

Optimization of a Hybrid NLP Model for Multi-Aspect Sentiment Analysis of the Minister of Finance of the Republic of Indonesia

JAISEN: Journal of Advanced Information Systems and Engineering; Vol. 1 No. 2 (2026): JAISEN: Journal of Advanced Information Systems and Engineering ; 49-59
JAISEN: Journal of Advanced Information Systems and Engineering, 2026Copyright (c) 2026 JAISEN: Journal of Advanced Information Systems and Engineering
The rapid growth of social media platforms has created extensive opportunities to analyze public opinion toward government policies using computational approaches. Public discussions related to fiscal governance, particularly those involving the Mini...
Jurnal Institusi

EKSPLORASI FITUR FASTTEXT, TF-IDF DAN INDOBERT PADA METODE K-NEAREST NEIGHBOR UNTUK KLASIFIKASI SENTIMEN

ZONAsi: Jurnal Sistem Informasi; Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025; 49 - 60
Universitas Lancang Kuning, 2025DOI: 10.31849/zn.v7i1.24779Copyright (c) 2025 ZONAsi: Jurnal Sistem Informasi
Sentiment classification is essential for analyzing public opinion, particularly on social media issues. One of the main challenges in sentiment classification is the limited amount of training data, which often affects the model's ability to ma...
Jurnal Institusi

PENGATURAN PADA PEMBANGKIT MIKROHIDRO MENGGUNAKAN PID-NBA (NOVEL BAT ALGORITHM)

SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; Vol. 1 No. 1 (2020): Prosiding SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; 75-82
Fakultas Ilmu Komputer, 2020DOI: 10.31849/semaster.v1i1.6030
Salah satu permasalahan umum pada pembangkit mikrohidro adalah perubahan beban dari sisi konsumen. Sehingga beberapa cara digunakan untuk memperbaiki permasalahan tersebut. Pada penelitian ini, diusulkan pengaturan frekuensi pada pembangkit mikrohidr...
Jurnal Institusi

Hyperparameter Optimization of the Perceptron Algorithm for Determining the Feasibility of Research Proposals and Community Service

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 172-181
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2024DOI: 10.31849/digitalzone.v15i2.17812Copyright (c) 2024 Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Higher education in Indonesia includes diploma, bachelor, master, specialist, and doctoral programmes organised by universities. The Institute for Research and Community Service (LPPM) is in charge of assessing lecturers' proposals. This researc...
Jurnal Institusi

PENERAPAN METODE LOGISTIC REGRESSION UNTUK KLASIFIKASI SENTIMEN PADA DATASET TWITTER TERBATAS

ZONAsi: Jurnal Sistem Informasi; Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025; 95 - 107
Universitas Lancang Kuning, 2025DOI: 10.31849/zn.v7i1.24804Copyright (c) 2025 ZONAsi: Jurnal Sistem Informasi
Kecepatan dan akurasi menjadi semakin penting dalam analisis sentimen publik, terutama di media sosial seperti Twitter, yang sering digunakan untuk menyampaikan opini terkait berbagai isu terkini. Penelitian ini mengaplikasikan metode Logistic Regres...
Jurnal Institusi

SVM Method with FastText Representation Feature for Classification of Twitter Sentiments Regarding the Covid-19 Vaccination Program

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 13 No. 2 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 140-150
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2022DOI: 10.31849/digitalzone.v13i2.11531Copyright (c) 2022 Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Covid-19 is a virus that has a high level of spread, making the government implement a mass vaccination program throughout Indonesia. This program received a lot of responses from the public, with positive and negative opinions or comments. Currently...
Jurnal Institusi

Penerapan Ensemble Learning Untuk Klasifikasi Preferensi Film Pada Dataset Movielens Dengan Penanganan Kelas Tidak Seimbang

SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; Vol. 4 No. 1 (2025): Prosiding SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; 127-142
Fakultas Ilmu Komputer, 2025DOI: 10.31849/pz3r6608
Sistem rekomendasi film semakin dibutuhkan seiring bertambahnya jumlah konten digital dan meningkatnya kebutuhan pengguna akan rekomendasi yang sesuai dengan preferensi mereka. Penelitian ini berfokus pada klasifikasi preferensi pengguna terhadap fil...
Jurnal Institusi

Deep Learning for Horticulture: Convolutional Neural Network Driven Classification of Banana Types

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 16 No. 1 (2025): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 12-25
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2025DOI: 10.31849/digitalzone.v16i1.23812http://creativecommons.org/licenses/by-sa/4.0
One of the most widely grown horticulture fruits in Indonesia is the banana. In addition to its various health benefits, bananas are a good source of carbohydrates and vitamins A, C, and E. There are a lot of different kinds of bananas in Indonesia, ...
Jurnal Institusi

Integration of Explainable AI (XAI) Models for ESG Reporting within a Sustainable Enterprise Information System Governance Framework

JAISEN: Journal of Advanced Information Systems and Engineering; Vol. 1 No. 2 (2026): JAISEN: Journal of Advanced Information Systems and Engineering ; 12-31
JAISEN: Journal of Advanced Information Systems and Engineering, 2026Copyright (c) 2026 JAISEN: Journal of Advanced Information Systems and Engineering
Climate change demands transparent and evidence-based sustainability governance. This study develops an Explainable Artificial Intelligence–Enabled Decision Support System (XAI-EDSS) to predict and explain Indonesia’s carbon emissions within t...
Jurnal Institusi

Sensitivity Analysis of Parameter Control in Leukemia Classification Using Variable-Length Particle Swarm Optimization

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 16 No. 2 (2025): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 58-71
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2026DOI: 10.31849/digitalzone.v16i2.27473http://creativecommons.org/licenses/by-sa/4.0
Machine learning has the potential to support hematologists in classifying leukemia by identifying abnormal chromosomes and specific gene markers. One effective technique for feature selection is Variable-Length Particle Swarm Optimization (VLPSO), w...
PubMed

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data

Appl Sci (Basel)
2022DOI: 10.3390/app12136670https://creativecommons.org/licenses/by/4.0/
Accurate detection is still a challenge in machine learning (ML) for Alzheimer’s disease (AD). Class imbalance in imbalanced AD data is another big challenge for machine-learning algorithms working under the assumption that the data are evenly dist...