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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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PERAN DP3AP2KB DALAM PENCEGAHAN PERKAWINAN ANAK DAN DAMPAKNYA TERHADAP KESEHATAN REPRODUKSI REMAJA PUTRI DI KOTA KEDIRI
Jurnal Kesehatan Masyarakat Indonesia
Vol 20
, No 4
(2026)
Latar belakang: Perkawinan anak masih menjadi masalah serius di Kota Kediri, dengan angka dispensasi kawin yang cukup tinggi. Praktik ini berdampak negatif terhadap kesehatan reproduksi remaja putri. DP3AP2KB Kota Kediri telah melaksanakan berbagai program pencegahan, namun efektivitasnya terhadap kesehatan reproduksi belum sepenuhnya terukur. Metode: Penelitian ini menggunakan metode kuantitatif dengan desain cross-sectional. Dengan sampel berjumlah 100 remaja putri usia 15–19 tahun yang telah...
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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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Identifikasi Aritmia pada Lansia menggunakan Algoritma K-Nearest Neighbor berdasarkan Data ElektroKardiogram
Siahaan, Maherni
; Panjaitan, Sabina
; Purba, Agnes Alvionita
; Cahya, Mutiara
; Simarmata, Allwin M.
Dinamik
Vol 31
, No 1
(2026)
Aritmia merupakan gangguan irama jantung yang umum terjadi pada lansia dan dapat menimbulkan risiko kesehatan serius jika tidak terdeteksi secara dini. Penelitian yang dilakukan bertujuan untuk mengidentifikasi aritmia pada lansia menggunakan algortima K- Nearest Neighbor (KNN) berdasarkan data elektrokardiogram (EKG). Data yang digunakan berjumlah 105 data EKG lansia yang diperoleh dalam format CSV. Proses awal melibatkan pembersihan dan normalisasi data menggunakan metode StandardScaler, serta...
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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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Tinjauan Sistematis Teknologi Radar Mimo dan Kecerdasan Buatan untuk Deteksi Nyeri Non-Invasif Lintas Populasi
Dinamik
Vol 31
, No 1
(2026)
Deteksi nyeri secara objektif merupakan tantangan penting dalam dunia medis, terutama bagi pasien yang tidak mampu menyampaikan rasa sakitnya secara verbal, seperti bayi, lansia, atau penderita gangguan komunikasi. Teknologi non- invasif berbasis sensor menjadi solusi potensial untuk mengatasi keterbatasan metode subjektif. Penelitian ini bertujuan meninjau secara sistematis literatur terkini mengenai penerapan Radar MIMO dan algoritma kecerdasan buatan dalam deteksi nyeri non-invasif.
Metode ya...
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Optimasi Sistem Credit Scoring Pembiayaan pada Lembaga Keuangan Mikro dengan Neural Network Integrasi Sample Bootstrapping dan Weighted PCA
Dinamik
Vol 31
, No 1
(2026)
Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several l...
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Evaluation of Management Requests and Service Quality Incidents of the Wifi Network Using COBIT 2019
Dinamik
Vol 31
, No 1
(2026)
This study compares two service management models to evaluate the governance of the Wi-Fi network in Dusun Gita Nagari Baru. The main objective is to measure user satisfaction and service quality following the implementation of the COBIT 2019 framework, particularly the DSS02 domain (Manage Service Requests and Incidents). The research employed a mixed methods approach, using historical-comparative document analysis and Likert scale questionnaires distributed to 21 active users. The data were an...
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Analysis of the Effectiveness of the Lampung Provincial Government's Public Communication Through Social Media Using the Logistic Regression Method
Dinamik
Vol 31
, No 1
(2026)
Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic re...
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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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