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All Journal Jurnal Pengabdian Masyarakat Multidisiplin International Journal of Cyber and IT Service Management (IJCITSM) JIF Indonesian Journal of Physiotherapy International Transactions on Artificial Intelligence (ITALIC)
Nuraini Diah Noviati
Fakultas Fisioterapi Universitas Esa Unggul
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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HUBUNGAN INDEKS MASSA TUBUH TERHADAP CRANIOVERTEBRAL ANGLE PADA PEKERJA BACK OFFICE Nuraini Diah Noviati
Indonesian Journal of Physiotherapy Vol 2 No 2 (2022): Indonesian Journal Of Physiotherapy
Publisher : Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (155.266 KB) | DOI: 10.52019/ijpt.v2i2.4541

Abstract

Tujuan: Penelitian ini untuk mengetahui hubungan indeks massa tubuh (IMT) terhadap craniovertebral angle (CVA) pada pekerja  back office.Metode : Penelitian ini merupakan penelitian observasional.  Penelitian ini bersifat deskriptif kuantitatif dengan tipe studi korelasi. Sampel dipilih menggunakan teknik purposive sampling didapatkan 30 karyawan RSUP X Jakarta dimana IMT dihitung berdasarkan rumus berat badan dibagi kuadrat tinggi badan sedangkan CVA diukur dengan skor photogrammetry. Hasil : Pada penelitian ini rerata dan simpangan baku IMT adalah  26,88±3,98 dan nilai derajat CVA yaitu, 39,88±4,66. Uji normalitas dengan kolmogorov smirnov test didapatkan data berdistribusi normal. Hasil uji hipotesis dengan uji statistik korelasi pearson product moment, didapatkan p < 0,0001 pada IMT  dan CVA serta nilai r = -0,731 maka terdapat korelasi positif antara IMT dengan CVA. Kesimpulan : Terdapat korelasi positif antara nilai  IMTterhadap nilai CVA yang menunjukkan semakin tinggi IMT maka nilai rerata CVA sesuai kriteria FHP. 
PENYULUHAN UPAYA PENCEGAHAN & PENGENDALIAN NYERI PADA PESEPEDA Nuraini Diah Noviati; Muthiah Munawarah; Abdurrasyid Abdurrasyid; Kesit Ivanali; Daniel Happy Putra
Jurnal Pengabdian Masyarakat Multidisiplin Vol 7 No 1 (2023): Oktober
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v7i1.3335

Abstract

Sejak masa awal pandemi COVID-19 hingga saat ini, gaya hidup masyarakat mengalami perubahan dalam aspek pekerjaaa, hobi, gaya hidup, pendidikan, dan kesehatan. Olahraga menjadi aktivitas hobi yang populer selama masa pandemi. Selain untuk menjaga kesehatan dan kebugaran, manfaat berolahraga juga untuk mengurangi stress dan bersosialisasi. Ketika pandemi dan diberlakukan ‘pembatasan sosial’ area Jabodetabek, terjadi suatu fenomena, masyarakat senang dan tertarik untuk bersepeda. Penggunaan sepeda meningkat 1000 persen saat pembatasan tersebut di Jabodetabek. Namun peningkatan penggunaan sepeda tidak diimbangi oleh pemahaman mengenai faktor resiko cedera oopenyebab timbulnya nyeri muskuloskeletal yang mengakibatkan gangguan fungsi gerak. Nyeri muskuloskeletal yang tidak diharapkan ini dapat mengganggu produktifitas sehari-hari sehingga beresiko menurunkan kualitas hidup individu. Penyuluhan untuk mencegah nyeri muskuloskeletal pada pesepeda penting dilakukan agar mitra dapat menerapkan langkah-langkah dan teknik pencegahan cedera dan mengoptimalkan manfaat kebugaran bersepeda. Pengabdian ini bertujuan menyelenggarakan penyuluhan bagi para pesepeda untuk langkah-langkah pencegahan di rumah sehingga dapat mengurangi angka kejadian nyeri. Adapun mitra pengabdian adalah komunitas sepeda Purnakarya Tangerang.. Kegiatan berupa penyuluhan terhadap faktor resiko, memberikan langkah-langkah pencegahan sebelum, saat dan sesudab bersepeda dan strategi pengoptimalan tingkat kebugaran bersepeda. Luaran kegiatan adalah mitra dapat mengelola faktor resiko, langkah-langkah pencegahan, dan optimalisasi manfaat kebugaran olahraga bersepeda.
Smart Grids: Integrating AI for Efficient Renewable Energy Utilization Noviati, Nuraini Diah; Maulina, Sondang Deri; Smith, Sarah
International Transactions on Artificial Intelligence Vol. 3 No. 1 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i1.644

Abstract

The urgent global shift from fossil fuels to renewable energy sources necessitates innovative solutions to address energy system management challenges. Smart grids, equipped with sophisticated infrastructures, play a crucial role in this transition. This study integrates Artificial Intelligence (AI) into smart grids to enhance their efficiency and reliability, directly supporting the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 11 (Sustainable Cities and Communities). Employing a mixed-methods approach, the research utilizes historical and real-time data, applying machine learning algorithms such as Linear Regression, Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long ShortxTerm Memory (LSTM) for predictive accuracy in energy management. Optimization techniques like Genetic Algorithms and Particle Swarm Optimization (PSO) are also implemented for resource scheduling and grid balancing. The results demonstrate significant improvements, with an 11.76% increase in energy efficiency and grid stability, a 66.67% reduction in prediction errors, and a 20% decrease in operational costs compared to conventional systems. These enhancements highlight the transformative potential of AI in smart grids, promoting more efficient and sustainable energy utilization. The study concludes that AI-driven smart grids are pivotal in achieving the SDGs by providing scalable and efficient solutions for renewable energy integration, thereby fostering sustainable development and reducing environmental impacts.
The relationship of stride length and walking pain to the dynamic balance of the elderly: The relationship of stride length and walking pain to the dynamic balance of the elderly -, Nabila Tri Lestari; Munawwarah, Muthiah; Meidian, Abdul Chalik; Noviati, Nuraini Diah
Indonesian Journal of Physiotherapy Vol 5 No 2 (2025): Indonesian Journal of Physiotherapy
Publisher : Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52019/ijpt.v5i2.8515

Abstract

Background: Changes in stride length are something that is closely related to unhealthy conditions and is a decrease in the ability to carry out activities independently. Nearly 50% of people over the age of 65 have problems walking. Method: This is a cross sectional study, the sample consisted of 34 people at Posyandu for the Elderly Melati Putih RW 02 East Jakarta. The sample was measured for stride length using a meterline with units measured in cm and dynamic balance was measured using the TUG test with units of time measured in seconds using a stopwatch. Results: The mean ± SD value for the step length variable was 79.14 ± 12.63, the mean value for the walking pain variable was 4.97 ± 1.62 and the mean value for the dynamic balance variable was 21.18 ± 6.63. Testing normality using the Shapiro Wilk Test, the data obtained a normal distribution of 2 and abnormally 1, while with hypothesis testing using Spearman Rank Correlation, the p value was <0.05 and had a value of r -0.738 for step length on dynamic balance and r 0.617 for walking pain on balance. dynamic, thus showing that Ha is accepted, meaning there is a relationship between step length, walking pain and dynamic balance in the elderly. Conclusion: There is a relationship between stride length, walking pain and dynamic balance in the elderly. Keywords: Stride Length; Dynamic Balance; Pain; Fall Risk
Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends Nuraini Diah Noviati; Fengki Eka Putra; Sadan Sadan; Ridhuan Ahsanitaqwim; Nanda Septiani; Nuke Puji Lestari Santoso
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.161

Abstract

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.
Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends Nuraini Diah Noviati; Fengki Eka Putra; Sadan Sadan; Ridhuan Ahsanitaqwim; Nanda Septiani; Nuke Puji Lestari Santoso
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.161

Abstract

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.
PERBEDAAN KINESIOTAPPING DENGAN PEMBERIAN MASSAGE PADA IBU HAMIL DALAM MENURUNKAN NYERI PINGGANG PADA TRIMESTER 3: PERBEDAAN KINESIOTAPPING DENGAN PEMBERIAN MASSAGE PADA IBU HAMIL DALAM MENURUNKAN NYERI PINGGANG PADA TRIMESTER 3 Berliana Windi Wibowo; Muthiah Munawwarah; Trisia Lusiana Amir; Nuraini Diah Noviati
Jurnal Ilmiah Fisioterapi Vol. 7 No. 1 (2024): Jurnal Ilmiah Fisioterapi
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jif.v7i1.4418

Abstract

Tujuan: Untuk mengetahui perbedaan efek dari kinesiotapping dan massage untuk mengurangi nyeri pinggang pada ibu hamil di trimester 3. Metode: Penelitian ini bersifat quasi experimental dengan pre test - post test group design, dimana nyeri diukur menggunakan Numeric Rating Scale (NRS). Sampel terdiri dari 14 orang di Praktek Bidan Dinar Kusuma Dewi Karawang. Sampel dibagi menjadi 2 kelompok perlakuan: kelompok perlakuan I terdiri dari 7 orang diberikan intervensi kinesiotapping dan kelompok perlakuan II terdiri dari 7 orang diberikan intervensi massage. Hasil: Uji normalitas menggunakan Shapiro Wilk test didapatkan data tidak berdistribusi normal (p<0,05), sedangkan uji homogenitas menggunakan Levene’s test didapatkan data bersifat homogen (p>0,05). Hasil uji hipotesis I menggunakan Wilcoxon test diperoleh nilai p=0,017 dengan nilai median(min-maks) sebelum dan sesudah sebesar 5(4-6) dan 3(1-3). Hasil uji hipotesis II menggunakan Wilcoxon test diperoleh nilai p=0,016 dengan nilai median(min-maks) sebelum dan sesudah sebesar 5(4-8) dan 1(0-3). Hasil uji hipotesis III menggunakan Mann Whitney test diperoleh nilai p=0,006 dengan nilai median(min-maks) sebelum dan sesudah sebesar 3(2-4) dan 4(4-6). Kesimpulan: Ada perbedaan yang signifikan antara intervensi kinesiotapping dengan massage terhadap penurunan nyeri pinggang pada ibu hamil trimester 3.
Co-Authors -, Nabila Tri Lestari Abdul chalik meidian Abdurrasyid Berliana Windi Wibowo Daniel Happy Putra Fengki Eka Putra Kesit Ivanali Maulina, Sondang Deri Muthiah Munawarah Muthiah Munawwarah Muthiah Munawwarah Nanda Septiani Nuke Puji Lestari Santoso Ridhuan Ahsanitaqwim Sadan Sadan Smith, Sarah Trisia Lusiana Amir