Article Per Year (5 Year)
p-Index From 2021 - 2026
5.298
P-Index
This Author published in this journals
All Journal PROSIDING SEMINAR NASIONAL Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Journal of Aceh Physics Society 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 Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JPF : JURNAL PENDIDIKAN FISIKA Surya Abdimas Jurnal Pendidikan Fisika dan Teknologi Indonesian Review of Physics (IRiP) DIFFRACTION: Journal for Physics Education and Applied Physics Indonesian Journal of Electrical Engineering and Computer Science Buletin KKN Pendidikan Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Ilmiah Kampus Mengajar Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi Journal of Social and Community Development Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Penelitian Sains Teknologi
Azmi Khusnani
IKIP Muhammadiyah Maumere
Religion Agriculture, Biological Sciences & Forestry Humanities 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 Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
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.
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.
Estimation of Flores Sea Aftershock Rupture Data Based on AI Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Afriyanto, Mulya
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.6705

Abstract

The earthquake catalog notes that there have been earthquakes with Mw > 7 that hit the Flores area, three of which occurred in the Flores Sea in 1992, 2015, and 2021. Revealed that the seismic activity of Eastern Indonesia is thought to be influenced by the isolated thrust fault segment of the island of Flores and the island of Wetar. The study of the rising fault segment on Flores Island and Wetar Island helps in further understanding the fault behavior, earthquake pattern, and seismic risk in the Flores Sea region. In earthquakes with giant magneto, an aftershock can occur due to the interaction of ground movements. This research analyzes and compares the data from the evaluation of the classification algorithm and the regression algorithm. The initial stages of this research include requesting IRIS DMC Web Service data. The data is then subjected to a cleaning process to obtain the expected feature extraction. The next stage is to perform the clustering process. This stage is carried out to label dependent data by adding new features as data clusters. The following procedure divides the validation value, which consists of training and test data. The estimation results show that the classification algorithm's evaluation value is better than that of the regression algorithm. The evaluation value of several algorithms indicates this, with an accuracy rate between 80% and 100%.
Utilization of Seismic Data as a Tsunami Vulnerability Review Khusnani, Azmi; Jufriansah, Adi; Afriyanto, Mulya
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6706

Abstract

This study aimed to analyze seismic data, which is then made into an infographic to map the level of tsunami hazard in the Sikka District. The research was carried out in Sikka District, East Nusa Tenggara, located between 121°55'40''-122°41'30'' east longitude and 08°22'-08°50' south latitude. The data source comes from the IRIS Earthquake Browser, and the analysis stage was carried out in two phases. The first analysis used seismic data analysis, and EQ Energy used IRIS (Incorporated Research Institutions for Seismology) data. Meanwhile, the second analysis maps the tsunami risk by determining the tsunami hazard in areas with the potential for a tsunami. Based on the analysis of seismicity data showed that Sikka District has the potential for an earthquake accompanied by a tsunami. In contrast, the results of the EQ Energy analysis caused by the December 14, 2021 earthquake were known as the value of Ehf = 6.46 × 1014 J  and EBB = 5.48 × 1015 J. The analysis of the level of tsunami susceptibility based on the tsunami run-up height in Sikka District showed that the northern coastal area of ​​Flores had various potentials, where the highest vulnerability level was in the Alok subdistrict and parts of Talibura. Meanwhile, the area with the lowest potential was the Kewapante subdistrict.
Elevation Dynamics and Thermal Variations During the Eruption Phases of Mount Lewotobi Laki-laki Khusnani, Azmi; Jufriansah, Adi; Pramudya, Yudhiakto; Wahab, Dedi Suwandi; Alip, Isma; Samana, Fazaki Ramadhani Anwar; Sina, Tuti Asmianti; Servia; Deti, Maria
Bincang Sains dan Teknologi Vol. 4 No. 01 (2025): 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.v4i01.873

Abstract

Mount Lewotobi Laki-Laki since December 2023, the eruption status has increased, with a substantial increase in November 2024. This led to modifications in the distribution of temperature, the patterns of volcanic material flow, and the morphology of the land. The objective of this research was to examine the relationship between the elevation profiles and temperature fluctuations that occurred during the eruption of Mount Lewotobi Laki-Laki. This investigation illustrates the considerable impact of volcanic activity on the environment by employing satellite data-based methodologies, digital elevation models (DEMs), and thermal analysis. The results suggest that volcanic activity has a significant impact on the distribution of temperature and the alteration of geological structures. The observed temperature increase, which extends from the crater to the slopes and lowlands, has an impact on local ecosystems and atmospheric conditions. The precipitous elevation profile significantly impacts the flow pattern of volcanic material, such as lava and lahars, which can pose a disaster risk to settlements and community activities in the vicinity. This research underscores the necessity of ongoing monitoring for risk mitigation and community preparedness in volcanic disasters.
ETNOASTRONOMI, KEARIFAN LOKAL MASYARAKAT SUKU BAJO WURING DALAM NAVIGASI MENGGUNAKAN RASI BINTANG DI MTs MUHAMMADIYAH WURING NANGAHURE Jufriansah, Adi; Khusnani, Azmi; Wahyuningsih, Wahyuningsih; Fitri, Moh.
Jurnal Pengabdian Kepada Masyarakat Patikala Vol. 1 No. 4 (2022): Jurnal PkM PATIKALA
Publisher : Education and Talent Development Center of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/patikala.v1i4.388

Abstract

Suku Bajo merupakan salah satu suku pendatang di Kabupaten Sikka, Pengenalan rasi bintang, secara turun temurun telah menjadi budaya bagi Suku Bajo sebagai pelaut. Hasil observasi menunjukkan bahwa Suku Bajo lebih dahulu mengenal budaya secara turun temurun dibandingkan keilmuan astronomi, berdasarkan hal tersebut maka hubungan antara nama dan keilmuan rasi bintang sebagai navigasi yang ada di Suku Bajo wuring penting untuk dipelajari lebih jauh tentang bagaimana etnoastronomi yang ada di wilayah tersebut. Tujuan dilaksanakannya kegiatan PKM ini antara lain: (1) Mengenalkan ilmu astronomi kepada guru dan siswa. (2) Memberikan pelatihan astronomi melalui aplikasi Stellarium dan Skysafari. (3) Memberikan pelatihan astronomi melalui alat peraga rasi bintang. (4) Memberikan penjelasan tentang kaitan antara budaya lokal Suku Bajo wuring terhadap ilmu astronomi. (5). Memberikan penjelasan terkait konsep astronomi dalam perspektif agama. Kegiatan ini terbagi dalam 3 alur, yaitu: tahap persiapan, pelaksanaan, dan hasil evaluasi. Jumlah sasaran adalah 25 orang dengan siswa berjumlah 20 orang dan guru sejumlah 5 orang dengan lokasi kegiatan di MTs. Muhammadiyah Wuring. Bentuk kegiatan yang akan digunakan dalam kegiatan PKM ini berupa workshop. Berdasarkan hasil pelaksanaan PKM dapat disimpulkan bahwa setelah pelaksanaan workshop tentang rasi bintang menggunakan alat perga rasi bintang NASE, aplikasi Stellarium dan Skysafari diperoleh adanya pemahaman tentang rasi bintang, dan hubungan antara budaya Suku Bajo Wuring terhadap ilmu astronomi yang berkaitan dengan navigasi. Hasil ini juga menunjukkan adanya keterampilan yang dimiliki berupa pembuatan alat peraga rasi bintang NASE dan mampu menggunakan aplikasi Stellarium dan Skysafari
Forecasting the Magnitude Category Based on The Flores Sea Earthquake Jufriansah, Adi; Khusnani, Azmi; Saputra, Sabarudin; Suwandi Wahab, Dedi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5495

Abstract

Earthquakes are a phenomenon that is still a mystery in terms of predicting events, one of which is the magnitude. As technology develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of magnitude forecasting, the application of GaussianNB, Random Forest, and SVM has the potential to reveal these patterns and relationships in the data. With the six main phases of this research, namely data acquisition, data pre-processing, feature selection, model training, forecast result evaluation, and performance analysis, this study is expected to contribute to the development of more accurate and effective earthquake forecasting methods. From these results we first obtain the result that the GaussianNB model has a relatively simple and fast method in training its model. However, the weakness lies in the assumption of a Gaussian distribution, which may not always suit the complex and diverse characteristics of earthquake data. Second, Random Forest, this method can increase accuracy and overcome the overfitting problem that occurs when forecasting magnitudes. In contrast to GaussianNB, it tends to result in models with greater complexity and requires more time to compute. The third option is SVM, which has both benefits and drawbacks that must be taken into account. The capacity of SVM to separate data that has both linear and nonlinear separation is one of its key advantages; nevertheless, the main drawback is that it is sensitive to hyperparameter adjustments.
Dynamics of Sky Brightness during a Hybrid Solar Eclipse using SQM Jufriansah, Adi; Pramudya, Yudhiakto; Khusnani, Azmi; Hikmatiar, Hamzarudin; Sahlan, Sahlan; Saharul, Saharul; Donuata, Pujianti Bejahida
Al-Marshad: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan Vol 11, No 1 (2025): Al-Marshad
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jam.v11i1.21227

Abstract

This study aims to analyze sky brightness dynamics during a hybrid solar eclipse using the Sky Quality Meter (SQM). Strategic observation sites were selected along the eclipse path, and continuous data collection was conducted using the SQM-LU-DL, telescopes, weather stations, and GPS for accurate location and atmospheric data. Measurements began several days before the eclipse and continued throughout and after the event. Data collected included sky brightness, visual documentation, and atmospheric conditions, which were analyzed using GnuPlot to detect trends and patterns in brightness changes. The study revealed significant fluctuations in temperature and light frequency, with a sharp decrease at the eclipse's peak, followed by a return to normal levels. These findings emphasize the eclipse's impact on natural light intensity and highlight the importance of addressing light pollution. The study contributes to understanding astronomical phenomena's effects on the environment and human health, aiding in the development of effective light pollution mitigation strategies.
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 Ade Anggraini Adi Jufriansah Afriyanto, Mulya Ahdiany, Dian Akib, Irwan Alip, Isma Anggraini, Ade Anwar, Zaina Aprianti, Anyela Arief Hermanto Arief Hermanto Arief Hermanto Arifin, Anggun Syafira Ayuba, John Bahruddin, Sitti Arafah Colomeischi Aurora Adina Danurdara Setiamukti Deti, Maria Dian Ahdiany Donuata, Pujianti Bejahida Dwi Sulistyaningsih Edwin Ariesto Umbu Malahina Endang Sulastri Erwin Prasetyo Fiqry, Rizalul Fitri Nur Hikmah Fitri, Moh. Hamzarudin Hikmatiar hikmatiar, hamzarudin Irfan Miftahul Fauzi Ishafit Ishafit Isma Alip Isnaini Budi Hastuti Junita, Ode Kartika Dewi Rahmawati Konsenius Wiran Wae Lazwardi, Ahmad Leto, Kristina Theresia M Taufiqurrahman Ma'rup Margiono Margiono Margiono, Margiono Maure, Osniman Paulina Moh. Toifur Mohammad Fitri Mohammad Fitri Muhammad Ihsan Mulya Afriyanto Naufal Ishartono Niehlah, Anis Rohadatul Nova Tri Romadloni Nurdin H. Abd. Rahman S. Nurrahman, Arip Nursilawati, Wingki Nursina Sya'bania Ota Welly Jenni Thalo PRASETYO, ERWIN Rahmawati Husein, Rahmawati Rini Fatmawati Rita Rahmaniati Sabarudin Saputra Saharul Saharul Saharul Saharul, Saharul Sahlan Sahlan Samana, Fazaki Ramadhani Anwar Sanlan, Sahlan Servia Sina, Tuti Asmianti Sri Slamet Suherman, Suherman Suherman, Suherman Suwandi Wahab, Dedi Sya’bania, Nursina Tanti Diyah Rahmawati, Tanti Diyah Thalo, Ota Welly Jenni Tria Puspita Sari Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyuningsih Wahyuningsih Wahyuningsih, Wahyuningsih Yanto Yanto Yohakim, Yoman Ribeta Ratu Yoman Ribeta Ratu Yohakim Yudhiakto Pramudya Yudhiakto Pramudya Yudhiakto Pramudya Yunita Kristianti Subandi Z. Zulfakriza Zulfakriza, Zulfakriza