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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Berkala Ilmiah Pendidikan Fisika Eduma : Mathematics Education Learning and Teaching Science and Technology Indonesia Journal of Geoscience, Engineering, Environment, and Technology Indonesian Journal of Science and Education Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Physics: Theories and Applications BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan ORBITA: Jurnal Pendidikan dan Ilmu Fisika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JPF : JURNAL PENDIDIKAN FISIKA Surya Abdimas Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Jurnal Pendidikan Fisika dan Teknologi Kappa Journal JPMI (Jurnal Pembelajaran Matematika Inovatif) Indonesian Review of Physics (IRiP) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) DIFFRACTION: Journal for Physics Education and Applied Physics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Simki Pedagogia Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Ilmiah Kampus Mengajar Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi Buletin Edukasi Indonesia INPAFI (Inovasi Pembelajaran Fisika) Research in Physics Education International Conference on Education for All Edukasi Elita : Jurnal Inovasi Pendidikan Journal of Social and Community Development Journal on Mathematics Education Frontiers in Sustainable Science and Technology Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Penelitian Sains Teknologi Jurnal Simki Pedagogia
Adi Jufriansah
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Relocation Study of Flores Sea Hypocenter (Mw = 7.3) Based on Single Station Estimation Using ObsPy Khusnani, Azmi; Anggraini, Ade; Jufriansah, Adi; Zulfakriza, Zulfakriza; Pramudya, Yudhiakto; Margiono; Wae, Konsenius Wiran
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.14503

Abstract

One area in Indonesia that is prone to disasters is the Flores Sea area, which has the potential for earthquakes to trigger tsunamis. This is due to the location of Flores, which is in a subduction zone that originates from the collision of the Indo-Australian (South) and Eurasian plates. Inaccuracies in earthquake locations are influenced by differences in residual travel time values, mathematical solutions to location problems, and inaccuracies in the seismic velocity model used. The accuracy of determining the hypocenter of an earthquake influences the location of the earthquake source, which will later be used as a reference in appropriate earthquake disaster mitigation planning. Based on this, an analysis of earthquake hypocenter data is needed, so it is important to carry out research. This research aims to relocate the hypocenter using ObsPy with a single station. The results obtained show that the Python package, namely ObsPy, can carry out data retrieval commands through filtering, detrending, normalisation, and determining data request parameters, such as the start and end times of the desired data, location, network, and data type. This research contributes to the field of seismology because the process of determining the hypocenter requires a relatively short time. Apart from that, the accuracy obtained also provides accurate values.
An Analytical Study of Suspension Bridge Collapse Based on the Characteristics of the Eigen Values Jufriansah, Adi; Pramudya, Yudhiakto; Lazwardi, Ahmad; Khusnani, Azmi; Nurrahman, Arip; Alip, Isma; Wae, Konsenius Wiran; Wahab, Dedi Suwandi
Engineering Science Letter Vol. 3 No. 02 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i02.540

Abstract

This research discusses an analytical approach to suspension bridge accidents focusing on eigenvalue characteristics. This research uses eigenvalue analysis to explore patterns that may contribute to bridge structural failure. The analysis steps include reducing the model to an uncoupled and linear system, as well as determining homogeneous and non-homogeneous solutions, which helps identify accident-prone patterns. The analysis results also reveal significant differences in dynamic characteristics between safe bridges and those that experience accidents. This research highlights the importance of a deep understanding of eigenvalues in designing, maintaining, and managing suspension bridges. The implication of this research is the development of more effective prevention strategies to improve suspension bridge safety in the future. By analyzing eigenvalues, this research provides deep insight into the factors that influence the stability of suspension bridges. These findings provide a strong foundation for developing recommendations for more effective design, maintenance, and management of suspension bridges. The conclusions of this research can help improve the safety and reliability of suspension bridges worldwide and contribute to civil engineering and infrastructure security.
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.
Comparison of K-Means Algorithm and DBSCAN on Aftershock Activity in the Flores Sea: Seismic Activity 2019-2022 Aprianti, Anyela; Jufriansah, Adi; Donuata, Pujianti Bejahida; Khusnani, Azmi; Ayuba, John
Journal of Novel Engineering Science and Technology Vol. 2 No. 03 (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.v2i03.393

Abstract

This study seeks to determine whether the clustering method can be used to analyze Flores Sea earthquake activity. In this investigation, the BMKG Repo serves as the source for real earthquake vibration data collection. The stages of this research include preparing the data in CSV format and then preparing the data to eliminate useless data by identifying missing data. On the basis of the research data, it was determined that the K-Means and DBSCAN methods are used to determine the clustering method for analyzing earthquake activity. In addition, the data is depicted using a graphical Elbow method so that we can determine the number of clusters of aftershocks in the Flores Sea. The results of the visualization of aftershocks that followed earthquakes in the Flores Sea between 2019 and 2022 revealed three distinct groups of earthquake source depths: 33 to 70 kilometers, 150 to 300 kilometers, and 500 to 800 kilometers. In terms of the shilhoute index parameter, the K-Means algorithm is preferable to the DBSCAN algorithm when clustering results are used to analyze earthquake activity.
The Effect of Attenuation on Simulation of Tsunami Wave Propagation Using FDM Ahdiany, Dian; Khusnani, Azmi; Jufriansah, Adi; Prasetyo, Erwin
Journal of Novel Engineering Science and Technology Vol. 3 No. 01 (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.v3i01.395

Abstract

This study seeks to investigate the shape of the surface of tsunami waves using the finite difference method and the effect of the damping function on the simulation of tsunami wave propagation using Matlab-based visualisation. The effect of attenuation on the propagation of tsunami waves is measured by the variation in energy. The results of the investigation indicate that tsunami waves have a transverse wave form, with waves propagating in a perpendicular direction. In the meantime, the analysis of the damping function reveals a decrease in the value of energy; this indicates that if the damping function is provided, it will have the effect of reducing the wave energy and propagation speed of tsunami waves. This modelling clearly and realistically illustrates the results of wave movement visualisation and provides insight for disaster mitigation and coastal protection.
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.
Exploration of Wien Displacement Law: A Fundamental Concept in Quantum Physics Yohakim, Yoman Ribeta Ratu; Maodjud, Siti Hamia; Ngaga, Elisabeth Jaa; Jufriansah, Adi; Sahlan
Bincang Sains dan Teknologi Vol. 3 No. 03 (2024): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v3i03.648

Abstract

This study explores the relationship between the temperature of a black body and the wavelength of the radiation it emits based on the Wien Displacement Law. This experiment collected maximum temperature and wavelength data using PhET simulation software and other supporting devices. The Wien Displacement Law states that the wavelength at which the maximum intensity of blackbody radiation occurs (λmax) is inversely proportional to the absolute temperature of the object (T). To test this law, the temperature of the blackbody was set at various values in the simulation, and the resulting maximum wavelength was recorded. The linear regression method analyzed the data to determine the temperature and maximum wavelength relationship. The analysis results showed a linear relationship with a coefficient of determination R2 = 1, indicating that the model fits the observed data well. The value of Wien's constant (b) calculated from the slope of the regression line is close to the theoretical value of 2.897 × 10-3 m.K, supporting the validity of the Wien Displacement Law. In conclusion, this study confirms that the maximum wavelength of electromagnetic radiation is inversely proportional to the absolute temperature of a blackbody, which agrees with the prediction of the Wien Displacement Law.  
Penguatan Pendidikan sebagai Upaya untuk Meningkatkan Kemampuan Jasmani bagi Anak Pekerja Migran di Sanggar Bimbingan Malaysia Niehlah, Anis Rohadatul; Jufriansah, Adi; Khusnani, Azmi; Fauzi, Irfan Miftahul; Sari, Tria Puspita
Jurnal Ilmiah Kampus Mengajar Vol. 3, No. 2, Oktober 2023
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Perguruan Tinggi Muhammadiyah Aisyiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56972/jikm.v3i2.127

Abstract

Penguatan pendidikan perlu memperhatikan faktor-faktor yang dapat membantu mencapai suatu kompetensi. Hal ini bersesuaian dengan peraturan Internasional yang menyatakan bahwa setiap manusia memiliki hak memperoleh pendidikan. Namun hal ini terbentur ketika dihadapkan dengan kasus untuk usia sekolah warga imigran yang sedang mencari suaka di Malaysia. Sehingga penelitian ini bertujuan untuk memberikan gambaran mengenai pelaksanaan pendidikan sebagai upaya peningkatan kemampuan jasmani anak pekerja migran di sanggar bimbingan Malaysia selama penerjunan Kuliah Kerja Nyata kemitraan internasional program Merdeka Belajar Kampus Merdeka Perguruan Tinggi Muhammadiyah Aisyiyah berlokasi di Sanggar bimbingan Pusat Pendidikan Warga Negara Indonesia Klang. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Adapun teknik pengambilan data dalam penelitian ini melalui wawancara, dokumentasi, dan observasi. Data diperoleh dari studi pendahuluan terkait kondisi pelaksanaan pembelajaran pendidikan jasmani. Analisis data kualitatif ini menggunakan analisis Miles dan Hubermen yaitu reduksi, penyajian dan verfikasi data. Pada kegiatan kuliah kerja nyata kemitraan Internasional, peneliti mendalami dan mengamati kegiatan belajar dan mengajar pendidikan jasmani. Peneliti menyimpulkan kegiatan belajar mengajar pendidikan jasmani kurang terstruktur dan sistematis serta pendidik kurang berkompeten dibidang pendidikan jasmani sehingga akan mengpengaruhi peningkatan kemampuan jasmani anak.
Penguatan Kebiasaan Berperilaku Hidup Bersih dan Sehat (PHBS) melalui Gerakan Rutin Berolahraga dan Praktik Higiene di Lingkungan Sekolah Syaukani, Agam Akhmad; Pradita, Rachel Aulia; Anwari, Ardiansyah Risko; Murtiningsih, Tenny; Jufriansah, Adi
Jurnal Ilmiah Kampus Mengajar Vol. 3, No. 2, Oktober 2023
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Perguruan Tinggi Muhammadiyah Aisyiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56972/jikm.v3i2.135

Abstract

Perilaku Hidup bersih dan Sehat (PHBS) adalah panduan hidup bersih dan sehat yang dibuat oleh Kementerian Kesehatan. Praktik PHBS salah satunya dapat dilakukan di lingkungan sekolah. Kegiatan pengabdian ini bertujuan untuk menguatkan praktik PHBS di lingkungan sekolah SMP Muhammadiyah Sinar Fajar, Klaten, Jawa Tengah. Sekolah ini termasuk dalam sekolah baru karena baru berdiri sejak 2018 sehingga dalam perjalanan akselerasi mutu masih membutuhkan penguatan dalam berbagai hal, salah satunya budaya PHBS. Kegiatan pengabdian ini difokuskan dalam 3 hal yakni olahraga yang terukur dan teratur, pemantauan jentik berkala, dan pemanfaatan sampah organik untuk kompos. Terdapat 3 tahapan dalam kegiatan ini, 1) analisis situasi; 2) pelaksanaan; dan 3) evaluasi. Analisis situasi digunakan untuk mendalami kondisi sekolah, ketersediaan sarana dan prasarana, dan dukungan kebijakan sekolah. Pelaksanaan dilakukan selama 3 minggu pembelajaran. Ketiga jenis kegiatan pengabdian dilaksanakan setiap seminggu sekali. Evaluasi dilakukan pada minggu ke-4 dengan menyebarkan angket untuk menguji tingkat pengetahuan siswa terhadap PHBS. Terdapat sedikitnya 203 siswa yang menjadi peserta dalam kegiatan ini. Hasilnya, rata-rata nilai uji pemahaman siswa dalam skala 0-100, diperoleh skor 97,9. Dapat disimpulkan kegiatan ini berhasil untuk memberikan gambaran praktik PHBS di lingkungan sekolah. Pihak sekolah diharapkan dapat meneruskan kegiatan ini sebagai bagian dari rutinitas siswa setiap minggunya sehingga praktik baik semacam ini dapat mengakar kuat dan menjadi budaya sekolah yang terus dilestarikan.
Pengembangan Laboratorium Virtual untuk Meningkatkan Hasil Belajar Peserta Didik Bogar, Dominika Yonavista; Jufriansah, Adi; Prasetyo, Erwin
Buletin Edukasi Indonesia Vol. 2 No. 03 (2023): Buletin Edukasi Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bei.v2i03.397

Abstract

Pembelajaran fisika merupakan pelajaran dalam rumpun IPA dengan memberikan pengalaman dalam meningkatkan pengetahuan, kompetensi serta sikap percaya diri siswa supaya bisa memahami serta menjelajahi lingkungan sekitar secara objektif. Keterampilan pelajaran IPA dilatih melalui kegiatan praktikum yang menjadikan teknik pelajaran bagi guru dalam membantu peserta didik menguasai mata pelajaran fisika. Ada beberapa hambatan yang dialami guru maupun peserta didik saat melaksanakan praktikum, yakni keterbatasan waktu, laboratorium yang kurang memadai, serta faktor keamanan. Untuk mengatasi masalah tersebut, dibutuhkan guru yang kreativitas dalam mewujudkan pembelajaran yang dilaksanakan pada laboratorium nyata yaitu menggunakan pembelajaran berbasis laboratorium virtual. Penelitian ini bertujuan untuk menghasilkan media pembelajaran serta dapat meningkatkan hasil belajar peserta didik yang berbasis virtual laboratory. Tipe penelitian yang digunakan adalah Research and Development (R&D) mengacu pada model 4-D. Hasil dari penelitian diperoleh  1) media pembelajaran berbasis laboratorium virtual secara keseluruhan berkualitas baik dan layak diterapkan pada proses pembelajaran, 2) media pembelajaran yang dikembangkan sudah diimplementasi melalui instrumen tes hasil belajar kognitif dari kategori tidak tuntas 6,6% dan kategori tuntas 93,3% sehingga skor persentase hasil belajar peserta didik kelas XI IPA yaitu 99,9%.
Co-Authors Ade Anggraini Afriyanto, Mulya Agam Akhmad Syaukani, Agam Akhmad Ahdiany, Dian Ahmad Iqbal Hidayat Ajah Saputra Akib, Irwan Al Sanaani, Ali Essam Alfarizi Alfarizi Alip, Isma Andiyani, Rhavida Anniza Anggraini, Ade Anomeisa, Agnesia Bergita Anwar, Zaina Anwari, Ardiansyah Risko Aprianti, Anyela Arief Hermanto Arief Hermanto Arief Hermanto Arif Jamali Arifin, Anggun Syafira Arip Nurahman Asmia Fransiska Aurelia Aleny Ayu Hernita Ayuba, John Azmi Khusnani Bahruddin, Sitti Arafah Bogar, Dominika Yonavista Budi Jatmiko Budi Jatmiko Bukangdonu, Feronika Colomeischi Aurora Adina Danar Aswim Danur Dara Setiamukti Deni Luvi Jayanto Deti, Maria Dhema, Magdalena Dian Ahdiany Donuata, Pujianti Bejahida Dwi Prastyo Dwi Sulistyaningsih Dwi Sulisworo Edwin Ariesto Umbu Malahina Eko Purnomo Endang Sulastri Endang Sulastri Erwin Prasetyo Fitri Nur Hikmah Fitri, Moh. Fitria Eka Wulandari Fitriany, Devinda Nur Florentinus Primarius Naraama Koten Fransiska Antonia Sari Hafizhatu Nadia Halili, Siti Hajar Binti Halim Hamsa, Berlian Hamzarudin Hikmatiar Hamzarudin Hikmatiar Harun Joko Prayitno Heri Siswanto hikmatiar, hamzarudin Irfan Miftahul Fauzi Isma Alip Jaudin, Santi Hasan Jayadin Kanisius Goreti Sangi Kartika , Ika Kartika Dewi Rahmawati Khusnani , Azmi Koesoemo Ratih Konsenius Wiran Wae Kurniaji, Ganno Tribuana Lazwardi, Ahmad Leto, Kristina Theresia Ma'rup Mahmud, Randy Saputra Maodjud, Siti Hamia Margiono Margiono Margiono, Margiono Maria Elvina Maria Yosephien Retna Tinon Kawuri Maulana, Mahesa Maure, Osniman Paulina Meda, Helmiana Dua Moh. Toifur Mohammad Fitri Mohammad Fitri Muhamad Taufik Arifin Muhammad Akbar Muhammad Syahriandi Adhantoro Mulya Afriyanto Mulya Afriyanto Murtiningsih, Tenny Mu’min, Muhammad Amirul Naufal Ishartono Ngaga, Elisabeth Jaa Niehlah, Anis Rohadatul Nisa, Kartini Rahman Noly Shofiyah Noor Aida Aflahah Nova Tri Romadloni Nugroho, Febriyanto Arif Nuniati Nuniati Nurahman, Arip Nurdin H. Abd. Rahman S. Nurlina Nurlina Nurrahman, Arip Nursilawati, Wingki Nursina Sya'bania Ota Welly Jenni Thalo Ota Welly Jenni Thalo Pandu Pribadi Pradita, Rachel Aulia PRASETYO, ERWIN Pribadi, Pandu Purnama , Aventus Puteri Novianty Rahmawati Husein, Rahmawati Rakuasa, Heinrich Ratnasari Diah Utami Razak, Rafiza binti Abdul Rifai , Ahmat Rizky Habibur Rohman Sabarudin Saputra Saharul Saharul Saharul Saharul, Saharul Sahlan Sahlan Sahlan Samana, Fazaki Ramadhani Anwar Servia Sina , Tuti Asmianti Sina, Tuti Asmianti Sofiyudin, Muh Subandi, Yunita Kristianti Suritno - Fayanto Suwandi Wahab, Dedi Sya’bania, Nursina Tade , Ferdi Taha A, Ali Abdulraoof Tanti Diyah Rahmawati Tanti Diyah Rahmawati, Tanti Diyah Tria Puspita Sari Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyuningsih Wahyuningsih Wahyuningsih, Wahyuningsih Yanto Yanto Yohakim, Yoman Ribeta Ratu Yoman Ribeta Ratu Yohakim Yomianus Bura Yudhiakto Pramudya Yudhiakto Pramudya Yudhiakto Pramudya Yunita Kristianti Subandi Z. Zulfakriza Zakaria Al Farizi Zulfakriza, Zulfakriza