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All Journal PROSIDING SEMINAR NASIONAL Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya TARBIYA : Journal Education in Muslim Society Jurnal Pendidikan Fisika FKIP UM Metro Phi : Jurnal Pendidikan Fisika dan Terapan Jurnal Fisika Unand JFA (Jurnal Fisika dan Aplikasinya) Edufisika: Jurnal Pendidikan Fisika Jurnal Penelitian Pembelajaran Fisika Journal of ICSAR Journal of Geoscience, Engineering, Environment, and Technology International Journal of Science and Applied Science: Conference Series Jurnal Pendidikan Informatika dan Sains JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) JIPF (Jurnal Ilmu Pendidikan Fisika) Journal of Physics: Theories and Applications Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan Spektra: Jurnal Fisika dan Aplikasinya SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Physics and Its Applications Jurnal Kumparan Fisika Indonesian Review of Physics (IRiP) Jurnal Fisika Indonesia Indonesian Journal of Electrical Engineering and Computer Science Journal of Community Service and Empowerment Navigation Physics : Journal of Physics Education Jurnal Penelitian Sains dan Pendidikan (JPSP) Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Materi dan Pembelajaran Fisika PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah)
Yudhiakto Pramudya
Universitas Ahmad Dahlan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Novel Engineering Science and Technology

 1 
AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Sya’bania, Nursina; Leto, Kristina Theresia; Hikmatiar, Hamzarudin; Saputra, Sabarudin
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.314

Abstract

Pollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.
Suspension Bridge Estimation Method using the Fokker-Planck Model Jufriansah, Adi; Lazwardi, Ahmad; Pramudya, Yudhiakto; Nurrahman, Arip; Khusnani, Azmi; Yohakim, Yoman Ribeta Ratu
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.536

Abstract

The failure of the suspension bridge has been known since the beginning of the bridge collapse. Most of these failures form the basis of current engineering knowledge. One of the factors of failure is human-made factors related to the calculation of the bridge estimate. This paper presents an indirect estimation method using numerical simulation using finite elements by analyzing the Fokker-Planck model when dynamic excitation is associated with bridge loads. The results show that the Fokker-Planck model's homogeneous form can take into account the solution for the bridge analysis approach. It leads to a stable state when giving mass variations to the model. The indirect estimation method using finite elements can estimate the cable tension with controllable weak damping. It can be concluded that the method in this study is more accurate and convenient for the application technique.
LLMs Solution to Fake News, Disinformation, and Hoaxes: Llama 3 [70B]-based Hoax Detection and Counteraction System Jufriansah, Adi; Pramudya, Yudhiakto; Khusnani, Azmi; Malahina, Edwin Ariesto Umbu
Journal of Novel Engineering Science and Technology Vol. 4 No. 02 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i02.952

Abstract

In the digital age, hoaxes or false information are a significant challenge, as they can harm public comprehension, form inaccurate opinions, and endanger the health and safety of individuals. Artificial intelligence technology, particularly large language models (LLMs) like Llama 3, provides an innovative solution to these challenges. A sophisticated generative model with superior natural language processing capabilities, Llama 3 enables the effective detection and clarification of hoaxes. A dataset that is seven times larger than its antecedent, Llama 2, is utilized to train this model. The dataset has a token capacity of up to 128K and a context length of up to 8 K. By utilizing these capabilities, Llama 3 is capable of comprehending context, offering responses that are grounded in scientific data, and reducing response errors. Educational chatbots, interactive web platforms, and mobile applications that are based on Llama 3 can be implemented. This model effectively identifies and clarifies false information regarding cosmic rays that are purportedly hazardous through the presentation of pertinent scientific facts, as demonstrated by case studies. Llama 3's capabilities encompass its capacity to modify parameters to generate valid and pertinent responses. This renders it a critical instrument for bolstering community resilience to the dissemination of falsehoods, as well as digital literacy and awareness. Llama 3, which is open source, facilitates global collaboration in the development of a more secure and trustworthy information ecosystem.
Co-Authors Aan Suciarahmat Abdul Muis Habib Abu Yazid Raisal Abu Yazid Raisal Abu Yazid Raisal Abu Yazid Raisal Ade Anggraini Adi Jufriansah Afriyanto, Mulya Alip, Isma Andriyani Andriyani Anggraini, Ade Anisatur Rofiqah, Siti Arfiani Nur Khusna Azmi Khusnani Bayu Nugroho Bayu Nugroho Betty Mauli Rosa Bustam Budi Utama Buliali, Joko Lianto Deidra Robertha Anggraeny Noel Deti, Maria Dina Rahmah Maulida, Dina Rahmah Donuata, Pujianti Bejahida Dwi Nova Siti Handayani Dwi Nova Siti Handayani Edwin Ariesto Umbu Malahina Eka Syafutri Faizin , Muhammad Feri Iskandar Hamzarudin Hikmatiar Hasbullah Hasbullah Hayyuningtias, Riza hikmatiar, hamzarudin Ishafit Jauhari Isma Alip Jauhari, Ishafit Kabul Setiya Budi Konsenius Wiran Wae Lazwardi, Ahmad Leto, Kristina Theresia Lukmanul Hakim Lukmanul Hakim M. Burhanuddin Latief M. Khairul Ardi Mahfudz, Khawarizmy Margiono Marini Amalia Ocvianti Moh. Irma Sukarelawan Moh. Toifur Muchlas , Muchlas - Muchlas Muchlas Muchlas Muchlas Mulya Afriyanto Mustofa Ahyar Mustofa Ahyar Nur Hamida Siregar Nur Ikhwan Nurfitni, Diana Nurinaya, N. Nurrahman, Arip Okimustava Okimustava Okimustava Okimustava Raharja, Endra Putra Raharja, Surya Putra Rahmatul Bayyinah, Rahmatul Reza Ariefka Ricka Tanzilla Ricka Tanzilla Riza Hayyuningtias Rizky Bayu Kurniawan Sabarudin Saputra Saharul Saharul Saharul, Saharul Sahlan Sahlan Samana, Fazaki Ramadhani Anwar Saumarachmawati, Putri Ani Servia Shalihin, Rahmat Ryadhush Sina, Tuti Asmianti Siregar, Nur Hamida Siswoyo, Wuryanto Puji Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suyadi Suyadi Syafutri, Eka Sya’bania, Nursina Tanzilla, Ricka Triono, Muhklas Ulinnuha Yudiansa Putra Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyu Saputra Wahyu Saputra Wandira, Cintha Ayu Widodo Widodo Widodo Widodo Yohakim, Yoman Ribeta Ratu Yoky Novra Silta Yoman Ribeta Ratu Yohakim Z. Zulfakriza Zulfakriza, Zulfakriza