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Menampilkan 1–10 dari 305 artikel
Data-Driven Machine Learning Models for Steam Turbine Efficiency Prediction
Increased electricity consumption in Indonesia requires coal-fired power plants to operate at high efficiency. This study proposes a data-driven approach to predict the efficiency of coal-fired steam turbines by utilizing 844 historical operational data points from the XYZ coal-fired power plant. Input variables include main steam pressure and temperature, main steam flow, final feedwater temperature, and condenser vacuum pressure. Four machine learning algorithms, namely Random Forest, Extra Tr...
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IMPLEMENTASI DAN ANALISIS KINERJA SISTEM MONITORING JARINGAN BERBASIS ZABBIX PADA DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN KARANGANYAR
Abdi Teknoyasa
(2026)
Infrastruktur jaringan di instansi pemerintahan membutuhkan pengawasan terus-menerus untuk menjamin kualitas pelayanan publik. Praktik Kerja Nyata (PKN) ini bertujuan untuk mengimplementasikan Network Monitoring System (NMS) berbasis Zabbix pada Dinas Komunikasi dan Informatika Kabupaten Karanganyar serta melakukan evaluasi kinerja dengan membandingkannya terhadap Grafana. Metode pelaksanaan mencakup konfigurasi Simple Network Management Protocol (SNMPv2c) pada router MikroTik BLC, integrasi hos...
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Sistem Rekomendasi Multimodal Pada E-Commerce Menggunakan Transformer Integrasi Teks Deskripsi Dan Gambar Produk Untuk Mengatasi Item Cold-Start
Journal of Informatics Education
Vol 9
, No 1
(2026)
Penelitian ini mengembangkan sistem rekomendasi multimodal berbasis Transformer yang mengintegrasikan teks deskripsi dan gambar produk untuk mengatasi masalah cold-start pada e-commerce. Fokus utama penelitian adalah menguji efektivitas sistem rekomendasi multimodal dengan evaluasi Top-K (Recall, NDCG, MRR) pada dua domain: Overall dan Cold-start. Hasil eksperimen menunjukkan bahwa model berbasis konten tunggal (text-only dan image-only) lebih stabil dalam menghadapi item cold-start dibandingkan...
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Design and Evaluation of Hazard Analysis Procedures in Mining Occupational Safety Programs
Workplace accidents in the mining industry remain high, highlighting the need for systematic hazard analysis to strengthen Occupational Health and Safety (OHS) programs. This study aims to design and evaluate a Hazard Analysis Procedure (HAP) model for PT. XYZ. Using quantitative methods, the research applied the Fuzzy Delphi technique to validate OHS parameters and the Fuzzy Analytic Hierarchy Process (FAHP) to determine their relative weights. Data were obtained from ten certified OHS experts...
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Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach
Henka Bayu Seta
; Zatin Niqotaini
; Sarika Afrizal
; Theresiawati
; Artika Arista
; Rapolo Joshua Napitupulu
; Muhammad Ibrahim Al Farisi
Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Parti...
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Enhancing self-regulated learning through artificial intelligence: experimental evidence from high school students
Self-regulated learning is a critical competency for supporting students’ academic success, yet its development remains limited by outdated, inflexible teaching approaches. Meanwhile, the potential of artificial intelligence in education continues to grow, but empirical evidence regarding its effectiveness in enhancing self-regulated learning among secondary school students in Indonesia remains limited. This study aims to test the effectiveness of using an artificial intelligence application in...
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The Effectiveness of Combined Hatha Yoga and Tandem Walking Exercise on Balance among Older Adults in Malang
Rosidah, Nikmatur
; Ameylia, Ananda Viona
; Yuliadarwati, Nungki Marlian
; Prastowo, Bayu
; Ningrum, Annisa Salsabila Budi
; Rizal, Fahmi
; Acharya, Anup
; Prasetyo, Dwi Agung
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Age-related declines in muscle strength, proprioception, and postural control contribute to balance impairment among older adults and increase the risk of falls. Non-pharmacological interventions, particularly structured physical exercise combining relaxation and balance training, have been recommended to improve balance performance. This study aimed to evaluate the effect of a combined Hatha Yoga and Tandem Walking Exercise program on balance among older adults in Malang. scores....
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The Correlation Between Physical Activity and Quality of Life Among Physiotherapy Students at Muhammadiyah University of Malang, Class of 2022
Rafli Arrahim, Muhammad
; Rosidah, Nikmatur
; Baruna, Arys Hasta
; Muthohiry, Muhammad Raiz
; Prastowo, Bayu
; Rizal, Fahmi
; Prasetyo, Dwi Agung
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Physical activity is any activity that requires physical effort and can increase heart rate and breathing. Physical activity plays a role in maintaining physical fitness, strengthening the heart and lungs, reducing the risk of chronic diseases, and helping to improve mood, reduce stress, and enhance quality of life. This study aims to determine the relationship between physical activity and quality of life among students in Malang. Methods: This study employed a correlational desig...
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Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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HUBUNGAN PEMBERIAN ASI EKSKLUSIF DAN MAKANAN PENDAMPING ASI DENGAN KEJADIAN STUNTING DI PERKOTAAN
Masitoh, Siti
; Syam, Heriza
; Jehanara, Jehanara
; Kusumastuti, Ani
; Debbiyantina, Debbiyantina
; Aulani, Fitria
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar Belakang: Masalah kesehatan gizi yang signifikan di Kota Serang adalah prevalensi stunting. Asupan gizi, khususnya ASI eksklusif dan makanan tambahan, berdampak signifikan terhadap pertumbuhan balita dan merupakan faktor penyebab stunting. Tujuan: Untuk menguji korelasi antara ASI eksklusif dan makanan pendamping, bersama dengan usia ibu, pendidikan, pekerjaan, dan paritas, dengan prevalensi stunting di wilayah Puskesmas Singandaru, Kota Serang. Metode: Penelitian ini menggunakan pendekata...
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