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Effect of Perceptual Motor Program Combined with Obstacle Course Exercise on Dynamic Balance in Children with Autism Spectrum Disorders
Devi, An-nissa Istifarra Koestya
; Ramadhani, Alinda Nur
; Mirawati, Dita
; Agustyaningsih, Nugraheni
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Disorders of the neuromuscular system in children with autism cause motor deficits which cause children with autism to be unable to move. This is caused by a decrease in postural tone. Disturbed postural tone in children with autism will also cause coordination disorders and abnormal movement patterns. Apart from that, improper postural control in children with autism will cause changes in balance and balance disorders. For this reason, researchers provide Perceptual Motor Program...
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Karakteristik Komite Audit terhadap Kecurangan Laporan Keuangan Perusahaan Properti dan Infrastruktur Indonesia
DHARMA EKONOMI
(2026)
This study aims to investigate the influence of audit committee characteristics—including the proportion of independent audit committee members, audit committee size, and the frequency of audit committee meetings—on the risk of financial statement fraud in companies in the real estate and infrastructure sectors listed on the Indonesia Stock Exchange from 2020 to 2024. This study is grounded in agency theory and signaling theory. The sample was selected using purposive sampling, involving 62 comp...
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Implementasi Sistem Manajemen Inventori dan Aset REA TEHNIK Berbasis Web Menggunakan Framework Laravel
Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
; Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 30
, No 2
(2026)
Mekanisme administrasi barang pada REA TEHNIK sebelumnya masih mengandalkan cara-cara konvensional melalui pencatatan fisik serta bantuan perangkat lunak Microsoft Excel. Namun, pola kerja tersebut memicu sejumlah hambatan praktis, di antaranya lambatnya akses terhadap informasi stok, risiko diskrepansi data akibat kelalaian input, hingga birokrasi validasi laporan yang memakan waktu lama [1], [2]. Keterbatasan ini mendasari urgensi pengembangan sebuah platform digital yang terintegrasi dan bers...
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Viscosity Modeling of MES and SLS Using Machine Learning Method
Fathaddin, Muhammad Taufiq
; Setiati, Rini
; Akbar, Fahrurrozi
; Sumirat, Iwan
; Bharoto
; Ramadhan, Ranggi Sahmura
; Onnie Ridaliani Prapansya
; Ristawati, Arinda
Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict...
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Pengaruh Leverage, Profitabilitas, Sales Growth, terhadap Tax Avoidance: Moderasi Ukuran Perusahaan
Tax is a major source of government revenue; however, tax avoidance remains a significant issue, particularly in the property and real estate sector, which is characterized by high growth and complex financial structures. This study examines the effects of leverage, profitability, and sales growth on tax avoidance, with firm size as a moderating variable. The study employs a quantitative approach, using secondary data from the annual financial statements of property and real estate companies lis...
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Pengaruh Profitabilitas, Likuiditas, Leverage, dan Pertumbuhan Aset terhadap Kebijakan Dividen
The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER...
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Performance Analysis of Ensemble Learning Models in Heart Failure Prediction: Random Forest, AdaBoost, and XGBoost
Beny, Beny
; Dinamika Bangsa University
; Yani, Herti
; Satya Wacana Christian University
; Yupu, Gangga Ramadhan Putra
; Dinamika Bangsa University
Telematika
Vol 19
, No 1
(2026)
Heart failure remains a major global health challenge, and early prediction is essential for improving patient outcomes. This study evaluates three ensemble learning methods, namely Random Forest, AdaBoost, and XGBoost, using the Heart Failure Prediction dataset containing 918 patient records from Kaggle. A quantitative experimental design was applied, including preprocessing with KNN imputation, model development, and evaluation using 10-Fold Cross Validation. Performance was assessed through a...
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Edukasi Kebersihan Lingkungan Dan Daur Sampah(Di SD 05 Rasau Jaya, Kabupaten Kubu Raya)
Khairunnisa, Dina
; Muharati, Prima
; Selvi
; Ramadhani, Nur
; Ningsih, Susy Eliya
; Pratama, Muhammad Arfan
; Amin, Khoirul
; Sugiarto, Fatqur Dwi
Jurnal Pengabdian Masyarakat Ilmu-Ilmu Kesehatan dan Terapan
Vol 1
, No 2
(2026)
Kerusakan lingkungan dan krisis iklim yang semakin memprihatinkan memerlukan upaya mitigasi yang melibatkan berbagai pihak, termasuk partisipasi aktif dari masyarakat. Salah satu langkah strategis dalam mitigasi ini adalah melalui edukasi dan penerapan program daur ulang sampah, yang berkontribusi pada pembangunan berkelanjutan. Penelitian ini bertujuan untuk menganalisis upaya pencegahan kerusakan lingkungan dengan mengenalkan konsep daur ulang sampah pada siswa-siswi kelas 6a SD NEGERI 05 desa...
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Analisis Pengendalian Kualitas Produk Bata Ringan Dengan Pendekatan Metode Six Sigma Dan FMEA-AHP di PT Nusantara Building Industries (PT.NBI)
Habib, Habib Syahrun Ramadhan
; Primasanti, Yunita
; Fajar Sutrisno, Agung Widiyanto
; Oktaviana Trisna Devi, Anita
Jurnal Ilmiah Sains dan Teknologi
Vol 8
, No 01
(2026)
Pengendalian kualitas merupakan aspek penting dalam menjaga konsistensi mutu produk, khususnya pada industri bata ringan. Penelitian ini bertujuan untuk mengukur kinerja proses dan mengidentifikasi faktor risiko penyebab cacat. Metode yang digunakan yaitu Six Sigma dengan tahapan DMAIC (Define, Measure, Analyze, Improve, and Control), dikombinasikan dengan FMEA (Failure Mode and Effect Analysis) dan AHP (Analytical Hierarchy Process). Hasil penelitian menunjukkan bahwa rata-rata nila...
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Artificial Neural Network-Based Diabetes Prediction Analysis Using CDC Diabetes Health Indicators Data: Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators
Jurnal Riset Sistem dan Teknologi Informasi
Vol 4
, No 1
(2026)
Diabetes mellitus is a chronic disease with increasing prevalence and requires effective early detection efforts. This study aims to develop a diabetes risk prediction model using an Artificial Neural Network (ANN) based on non-laboratory health indicators. The dataset used is the CDC Diabetes Health Indicators with a large amount of data and characteristics of classes that are not fully balanced. The research stages include data preprocessing that includes handling missing values, encoding cate...
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