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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
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Surface Wave Topography using The 4 Point FDM Simulator Adi Jufriansah; Yudhiakto Pramudya; Arief Hermanto; Azmi Khusnani
Science and Technology Indonesia Vol. 5 No. 4 (2020): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3343.798 KB) | DOI: 10.26554/sti.2020.5.4.117-120

Abstract

The 2D topography proffers a new challenge of modeling surface waves with a 4-point finite difference (FDM) model. Topographic representation of wave propagation over a certain area will result in loss of accuracy of the numerical model. Then from this the need for appropriate modifications to reduce calculation errors. The existing approach requires value representation as an internal extrapolation solution for temporary exterior conditions. It is finally by providing boundary conditions and initial conditions in the system. However, the scheme sometimes becomes unstable for very irregular topography. 1D extrapolation along the parallel path is known to produce a simple and efficient scheme. During extrapolation, the stability of the 1D hyperbolic Schema improved by disregarding the nearest interior boundary point, which is less than half the lattice distance. Given the limited difference so that the stencils from both sides of the central evaluation point can be used as a 2D form modification if there are not enough inside points. So that in propagation space, waves that move and change according to changes in time. It will be following the wave nature of one source that travels in the x and y fields whose amplitude will change exponentially against propagation time. It is by the nature of surface wave motion.
Lux Meter pada Smartphone untuk Pengukuran Perubahan Tingkat Kecerahan Langit: Keadaan Langit Prapurnama dan Pascapurnama di Kota Maumere Hamzarudin Hikmatiar; Adi Jufriansah; Azmi Khusnani; Saharul
Bincang Sains dan Teknologi Vol. 2 No. 01 (2023): 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.v2i01.250

Abstract

Pengukuran perubahan kecerahan langit adalah salah satu persyaratan penting untuk penelitian astronomi, terutama astronom amatir. Tujuan dari penelitian ini adalah untuk mengetahui perubahan tingkat kecerahan langit di Maumere. Pengumpulan data penelitian dilakukan dengan mengamati tingkat kecerahan langit pra-purnama hingga pasca-purnama menggunakan aplikasi Lux Meter pada smartphone. Pengamatan dilakukan selama 5 hari sejak 11-15 Juli 2022 secara bersamaan dari pukul 21.22 WITA hingga 21.37 WITA. Data pengamatan memiliki nilai yang bervariasi dari hari pertama hingga hari terakhir, yaitu 0,053 lx, 0,094 lx, 0,491 lx, 0,093 lx, 0,02 lx. Perubahan data pada malam pertama memiliki nilai yang berbeda dengan malam ketiga yaitu saat bulan purnama. Perbedaan data penelitian adalah sebesar 0,493 atau 89% dari data pada malam ketiga. Dari hasil pengamatan disimpulkan bahwa kecerahan langit pada saat pra-purnama,  purnama hingga pasca purnama berubah.
Stellarium sebagai media pengamatan astronomi: Respon siswa suku Sikka Krowe, kelurahan Waipare Hamzarudin Hikmatiar; Azmi Khusnani; Adi Jufriansyah; Fitri Nur Hikmah
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol 14, No 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v14i1.24240

Abstract

Penelian ini bertujuan untuk mengetahui respon siswa suku Sikka Krowe yang ada di kelurahan Waipare, kepulauan Flores, Nusa Tenggara Timur tentang kegiatan pengamatan astronomi dengan memanfaatkan stellarium sebagai media pelacak benda-benda langit. Metode yang digunakan dalam penelitian menggunakan kualitatif dan deskriptif kuantitatif. Sebelum penelitian peneliti mengumpulkan data observasi dan dokumentasi untuk mengetahui background dari kelurahan Waipare kemudian memberi materi dan pelatihan untuk pengamatan. Hasil yang diperoleh, siswa masih kurang dalam pengetahuan tentang dasar-dasar ilmu astronomi namun mereka sangat berminat untuk belajar dan merespon kegiatan dengan sangat positif dengan persentasi analisis angket sebesar 100%. Sebaiknya dalam penelitian selanjutnya, peneliti menyarankan untuk menggunakan media yang berbeda sehingga bisa menjadi pembeda untuk siswa dalam memilih media yang tepat untuk mereka dalam pengamatan astronomi.
Forecast earthquake precursor in the Flores Sea Adi Jufriansah; Ade Anggraini; Zulfakriza Zulfakriza; Azmi Khusnani; Yudhiakto Pramudya
Indonesian Journal of Electrical Engineering and Computer Science Vol 32, No 3: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v32.i3.pp1825-1836

Abstract

Artificial intelligence (AI) can use seismic training data to discover relationships between inputs and outcomes in real-world applications. Despite this, particularly when using geographical data, it has not been used to predict earthquakes in the Flores Sea. The algorithm will read the seismic data as a pattern of iterations throughout the operation. The output data is created by grouping based on clusters using the most effective WCSS analysis, while the input features are derived from the original international resource information system (IRIS) web service data. Given that earthquake prediction is an effort to reduce seismic disasters, this research is essential. By generating predictions, it can reduce the devastation caused by earthquakes. Using the support vector machine (SVM), hyperparameter support vector machine (HP-SVM), and particle swarm optimization support vector machine (PSO-SVM) algorithms, this study seeks to forecast the Flores Sea earthquake. According to the estimation results, the SVM algorithm’s evaluation value is less precise than that of the HP-SVM, especially the linear HP-SVM and HP-SVM Polynomial models. However, the HP-SVM RBF model’s accuracy rating is identical to that of the traditional SVM model. The improvement of the PSO-SVM model, which has the finest gamma position and a value of 9.
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): ABDIMAS PATIKALA
Publisher : Education and Talent Development Center of Indonesia (ETDC 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
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.
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