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All Journal Jurnal Pendidikan Jasmani Indonesia Medikora: Jurnal Ilmiah Kesehatan Olahraga INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni Jurnal Keolahragaan IJID (International Journal on Informatics for Development) Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Jorpres (Jurnal Olahraga Prestasi) Plyometric : Jurnal Sains dan Pendidikan Keolahragaan Tanjungpura Journal of Coaching Research
Mulyawan, Rizki
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Arts Humanities Computer Science & IT Education Health Professions Medicine & Pharmacology Public Health Social Sciences Other

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Prevalensi gejala Infeksi Saluran Pernapasan Atas (ISPA) sesuai dengan polusi udara dan aktivitas fisik Bahri, Samsul; Safei, Imam; Mulyawan, Rizki; Fahmi Hasan, Muhamad; Adriyani, Riza
Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Vol 9 No 1 (2023): Jurnal SPORTIF: Jurnal Penelitian Pembelajaran
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/js_unpgri.v9i1.19041

Abstract

Air pollution is often associated with Upper Respiratory Infection (URI), and children are generally the most susceptible to URI. Although physical activity has a positive impact on health, it should be remembered that unhealthy pollution concentrations can eliminate the positive effects of physical activity. Thus, this research aimed to map the concentration of air pollution associated with the prevalence of URI symptoms and the level of physical activity in children throughout Java Island. This research uses a multicenter design, a descriptive quantitative method with a cross-sectional approach, within every six big cities on Java Island, Indonesia. The total subjects in this research were 1,216 male and female elementary school students from six provinces throughout Java Island (Banten, n=200), (Jakarta, n=200), (Bandung, n=202), (Semarang, n =210), (Yogyakarta, n=201), (Surabaya, n=203). Data was collected offline using the physical activity and URI questionnaires, accompanied directly by the original teacher. The research results indicated that unhealthy air pollution quality (> 35 µg/m³) was associated with the prevalence of URI symptoms (Jakarta 18.9% and Semarang 21.6%). Data analysis using ANOVA to see the interaction between 6 big cities and investigate within each city using paired t-test. Students' level of physical activity was related to air pollution, which could negatively impact the respiratory system. Therefore, these findings can be of particular concern to city governments and school teachers not to rule out the dangers of air pollution and the benefits of physical activity in schools.
Price Forecasting of Chili Variant Commodities Using Radial Basis Function Neural Network Ramadhan, Ade Umar; Siregar, Maria Ulfah; Nafisah, Syifaun; Anshari, Muhammad; Ndungi, Rebeccah; Mulyawan, Rizki; Nurochman, Nurochman; Gunawan, Eko Hadi
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.5129

Abstract

This study addresses the challenge of price instability in chili markets, which can lead to economic losses and inflation. To mitigate this issue, we propose a machine learning model using Radial Basis Function Neural Networks (RBFNN) to predict prices of various chili variants. Our quantitative approach involves a comprehensive data preparation process, including preprocessing and normalization of time series data collected from 2018 to 2022. The RBFNN model is constructed with K-Means clustering for optimal hidden layer configurations and evaluated using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The results demonstrate promising accuracy, with MAPE error rates below 20% and relatively low RMSE values for large red chili (10.37%, 4484) and curly red chili (14.77%, 5590). Our findings indicate the potential for creating a reliable forecast model for predicting chili prices over 7 days, enabling better supply and demand management. The study's results also suggest that increased training data enhances forecasting accuracy. This research contributes to the development of effective price forecasting models, providing valuable insights for policymakers and stakeholders in the chili industry.
Co-Authors A.M. Bandi Utama Adriyani, Riza Atikah Rahayu Azry Ayu Nabillah Chia, Michael Yong Hwa Chua, Terence Buan Kiong Dennis Dwi Kurniawan Dewantara, Julian Enggista Hendriko Delano Fatkurahman Arjuna Fitri Astuti, Fitri Gunawan, Eko Hadi Haidar, Muhammad Daffa Haratri, Brigita Ratih Kusuma Harun Harun Hasan, Muhamad Fahmi Ikhsan, Qori Jurek, Joanna Michalina Kumano, Akihito Maria Ulfah Siregar Mohd Nur, Mohad Anizu Muhammad Anshari, Muhammad Nawan Primasoni Ndungi, Rebeccah Nurochman Nurochman, Nurochman Pasca Tri Kaloka Putri, Salva Almayda Ramadhan, Ade Umar Rekyan Woro Mulaksito Mulyadi Risti Nurfadhila Safei, Imam Salafi, Muhammad Irvan Eva Samsul Bahri Sholeh Hafidz Sigit Nugroho Soni Nopembri Sumaryanti Sumaryanti Sumaryanti Syifaun Nafisah Ting, Low Seow Vistor Syapri Maulana Wisnu Nugroho Yudik Prasetyo