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Predictive Analysis of Dengue Outbreak Trends Using RapidMiner-Based Machine Learning Models
Dinamik
Vol 31
, No 1
(2026)
Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi k...
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KOMUNIKASI INTERPERSONAL GURU DENGAN MURID DALAM MEMBANGUN MOTIVASI BELAJAR SISWA BERKEBUTUHAN KHUSUS
Development and Business Communications
Vol 2
, No 2
(2026)
Interpersonal communication is often used in learning activities in schools by applying classical and individual methods. Student learning motivation is formed due to the interpersonal communication process that exists between educators and students. The purpose of this study is to describe how interpersonal communication between teachers and children with special needs at SLB YPAC Surakarta in building learning motivation. The theory used in this study is the effectiveness of interpersonal comm...
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Comparasi Model Deepseek dan OpenAI dalam Meningkatkan Efisiensi Pencarian Informasi pada Sistem Pencarian Algoritma
Dinamik
Vol 31
, No 1
(2026)
This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of effic...
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Dampak Model Mental Pengguna terhadap Implementasi Multi-Factor Authentication untuk Mitigasi Risiko Password Guessing di Konteks Organisasi
Dinamik
Vol 31
, No 1
(2026)
This study conducts a Systematic Literature Review (SLR) to explore the impact of users’ mental models on the implementation of Multi-Factor Authentication (MFA) as a strategy for mitigating password guessing risks in organizational environments. Amid the growing landscape of cyber threats, single-factor authentication has proven to be vulnerable, making MFA an essential layered security solution. However, the adoption of MFA remains slow. Existing studies indicate that expert users perceive MFA...
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Analisis Deteksi Komunitas Louvain, Infomap, dan Walktrap pada Konstruksi Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024
Al Amin, Imam Husni
; Wibisono, Setyawan
; Hadikurniawati, Wiwien
; Lestariningsih, Endang
; Eniyati, Sri
Dinamik
Vol 31
, No 1
(2026)
Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak ber...
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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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Faktor-Faktor yang Mempengaruhi Siswa SMA Al-Kautsar dalam Penggunaan Media Pembelajaran Berbasis Metaverse
Dinamik
Vol 31
, No 1
(2026)
This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceive...
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Analisis Kepuasan Siswa terhadap Layanan Teknologi Informasi di SMK Swadhipa 1 Natar menggunakan Metode CSI Dan IPA
Dinamik
Vol 31
, No 1
(2026)
As a vocational education institution, SMK Swadhipa 1 Natar is required to provide adequate facilities to support the development of its students' technical and practical skills. Although some facilities are already available, student complaints remain regarding the condition, availability, and utilization of these services, particularly those related to information technology.This study aims to analyze the level of student satisfaction with information technology services at SMK Swadhipa 1 Nata...
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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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Penerapan Algoritma Naïve Bayes untuk Prediksi Minat Siswa Melanjutkan Studi ke Perguruan Tinggi
Dinamik
Vol 31
, No 1
(2026)
This study aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was ca...
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