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Menampilkan 261–270 dari 5906 artikel
Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
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Pemodelan Tren Kasus Hiv dan Klasterisasi Wilayah menggunakan Algoritma K-Means dan Decision Tree - Studi Kasus di Kabupaten Bogor
Dinamik
Vol 31
, No 1
(2026)
Infectious diseases remain a dynamic and evolving public health threat, requiring data-driven approaches for early detection and targeted policy planning. This study aims to model spatio-temporal trends and clustering patterns of HIV transmission in Bogor Regency during the period 2020–2023 by utilizing a combination of unsupervised and supervised machine learning techniques. The dataset was obtained from the Bogor Regency Health Office and includes annual data on the number of HIV cases across...
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SuperBoost-AllerScan: Allergen Detection in Food Products - Data Mining and Machine Learning Approach
Dinamik
Vol 31
, No 1
(2026)
Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and...
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Penerapan Elliptic Curve Digital Signature Algorithm (ECDSA) dalam Blockchain untuk Sistem Pembayaran Digital Indonesia
Dinamik
Vol 31
, No 1
(2026)
This research examines the application of the Elliptic Curve Digital Signature Algorithm (ECDSA) in a blockchain system as a security solution for digital payment systems in Indonesia. Using a descriptive-qualitative approach based on literature review and conceptual simulations using Python, this study discusses the working principles of ECDSA, its advantages over other digital signature algorithms, and the challenges of its adoption in Indonesia. The results show that ECDSA provides high crypt...
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Perbandingan Metode Maut, Smart dan Waspas dalam Sistem Pendukung Keputusan menentukan Karyawan Terbaik pada Sisilia Boutique
Dinamik
Vol 31
, No 1
(2026)
This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates p...
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Evaluasi Kinerja Model Long Short-Term Memory dan Gated Recurrent Unit untuk Prediksi Magnitude Gempa Bumi Di Indonesia
Dinamik
Vol 31
, No 1
(2026)
This study aims to evaluate and compare the performance of two neural network architectures under the Recurrent Neural Network (RNN) category, namely Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), in predicting earthquake magnitude in Indonesia. The dataset used consists of daily earthquake magnitude records from 2008 to 2023, preprocessed into time series format and normalized using the MinMax method. The training process was conducted using various combinations of batch size and...
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Implementasi Metode Vikor dalam Pengambilan Keputusan Supplier Terbaik pada Parfume Corner
Dinamik
Vol 31
, No 1
(2026)
Selecting the right supplier is a critical aspect of supply chain management, especially in a retail business like Parfume Corner, which relies on product quality, availability, and on-time delivery. This study aims to implement the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method as a multi-criteria decision-making approach to determine the best perfume supplier. The VIKOR method was chosen because of its ability to handle conflicts between criteria and produce optimal compro...
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The Effect of Kinesio Taping on Carpal Tunnel Syndrome in Informal Sector Workers
Widodo, Agus
; Amithya, Farita Adhynda
; Ma’nun, Arumi Lu’lul
; Noorrahmah, Azkia
; Alvanda, Inggil Catur
; Ladjiji, Sri Sulistiani T.
FISIO MU: Physiotherapy Evidences
Vol 7
, No 1
(2026)
Introduction: CTS is a musculoskeletal disorder caused by compression of the median nerve, commonly occurring in informal sector workers, particularly those engaged in repetitive wrist movements, which can lead to reduced hand function and work productivity. This study aims to determine the relationship between occupational risk factors and pain with the Boston Carpal Tunnel Questionnaire (BCTQ) score in informal sector workers with CTS after kinesiotaping. Methods: This study used a quasi-exper...
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The Correlation Between Anxiety Levels and Blood Sugar Levels in Elderly People in Malang City
FISIO MU: Physiotherapy Evidences
Vol 7
, No 1
(2026)
Introduction: Anxiety is a common mental health problem among elderly and can affect physiological conditions, including blood glucose levels. This study aims to analyze the relationship between anxiety levels and random blood glucose levels in elderly in Malang City. Methods: An analytical observational study with cross-sectional approach involved 68 elderly respondents aged ≥60 years from three nursing homes in Malang City using purposive sampling technique. Anxiety levels were measured using...
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Deteksi Dini Anemia dan Pemberian Edukasi Pentingnya Tablet Fe pada Ibu Hamil sebagai Upaya Pencegahan Stunting
Jurnal Abdimas Bhakti Indonesia
Vol 6
, No 2
(2025)
Anemia pada ibu hamil merupakan salah satu faktor risiko terjadinya stunting yang harus dilakukan intervensi sejak didalam kandungan untuk mencegah BBLR, PBLR dan premature. Pelaksanaan kegiatan pengabdian masyarakat mengenai deteksi dini anemia dengan melakukan pemeriksaan kadar haemoglobin dan pemberian edukasi tentang pentingnya konsumsi tablet Fe dengan media leafleat pada ibu hamil menjadi suatu langkah strategis dalam upaya pencegahan stunting. Luaran yang diharapkan meliputi terlaks...
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