Article Per Year (5 Year)
p-Index From 2021 - 2026
4.86
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 Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) 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 Journal on Learning and Advanced Education (IJOLAE) 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
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 
Pengenalan Hafalan Al-Qur'an dengan Metode Zahrawain untuk Meningkatkan Ketangguhan Literasi Anak Fatmawati, Rini; Slamet, Sri; Hastuti, Isnaini Budi; Suherman, Suherman; Rahmaniati, Rita; Khusnani, Azmi
Buletin KKN Pendidikan Vol. 5, No. 2, Desember 2023
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bkkndik.v5i2.23167

Abstract

Menghafal Al-Qur'an adalah usaha untuk membiasakan seorang mukmin dengan kitab sucinya. Menumbuhkan minat anak untuk menghafal Al Qur’an memang tidak semudah yang dibayangkan. Anak-anak di PPWNI (Pusat Pendidikan Warga Negara Indonesia) Klang Selangor, Malaysia terlihat tidak mampu menghafal surat-surat pendek dalam Al-Quran. Hal ini dikarenakan kurangnya dukungan bersekolah dari keluarga. Padahal, mereka adalah calon-calon generasi penerus bangsa Indonesia yang patut dibanggakan. Untuk mengatasi permasalahan di atas, tim pengabdi ini mengadakan kegiatan dalam bentuk pengenalan hafalan Qur’ an dengan metode Zahrawain bagi anak-anak di PPWNI Klang Malaysia. Metode yang digunakan dalam kegiatan ini adalah ceramah, tanya jawab, diskusi, pelatihan dan evaluasi. Dampak dari program ini adalah anak-anak tidak hanya bisa menghafal Al Qur’an saja tetapi juga dapat membaca surat yang mereka hafal. Dari hasil kegiatan dapat dilihat bahwa sebagian besar anak-anak sudah hafal dan hanya sedikit yang belum hafal surat An-Naas. Selanjutnya efek dari hafalan Al Qur’an tersebut berdampak pada ketangguhan literasi hafalan dan bacaan mereka.
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.
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.
Co-Authors Ade Anggraini Adi Jufriansah Afriyanto, Mulya Ahdiany, Dian Alip, Isma Anggraini, Ade Aprianti, Anyela Arief Hermanto Arief Hermanto Arief Hermanto Ayuba, John 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. Hastuti, Isnaini Budi hikmatiar, hamzarudin Irfan Miftahul Fauzi Ishafit Ishafit Junita, Ode Kartika Dewi Rahmawati Lazwardi, Ahmad Leto, Kristina Theresia M Taufiqurrahman Ma'rup Margiono Margiono Margiono, Margiono Moh. Toifur Mohammad Fitri Mohammad Fitri Muhammad Ihsan Mulya Afriyanto Mulya Afriyanto Niehlah, Anis Rohadatul Nurdin H. Abd. Rahman S. Nurrahman, Arip Nursina Sya'bania Ota Welly Jenni Thalo Ota Welly Jenni Thalo PRASETYO, ERWIN Rahmawati Husein, Rahmawati Rini Fatmawati Rita Rahmaniati Sabarudin Saputra 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 Tria Puspita Sari Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyuningsih Wahyuningsih Wahyuningsih, Wahyuningsih Yanto Yanto Yohakim, Yoman Ribeta Ratu Yudhiakto Pramudya Yudhiakto Pramudya Yudhiakto Pramudya Yunita Kristianti Subandi Z. Zulfakriza Zulfakriza, Zulfakriza