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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 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) 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 Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Ilmiah Kampus Mengajar Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi
Azmi Khusnani
IKIP Muhammadiyah Maumere
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 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

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Penguatan Pendidikan sebagai Upaya untuk Meningkatkan Kemampuan Jasmani bagi Anak Pekerja Migran di Sanggar Bimbingan Malaysia Anis Rohadatul Niehlah; Adi Jufriansah; Azmi Khusnani; Irfan Miftahul Fauzi; Tria Puspita Sari
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.
Identification of Understanding of Disaster Preparedness in the School Environment Azmi Khusnani; Rahmawati Husein; Adi Jufriansah; Ota Welly Jenni Thalo; Kartika Dewi Rahmawati; Mohammad Fitri; Colomeischi Aurora Adina
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 5, No. 3, September 2023
Publisher : Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v5i3.22974

Abstract

Flores Island is vulnerable towards natural disasters. Therefore, it requires an effective disaster warning ma-nagement. In this context, schools play an important role in disaster warning system. However, not all schools implement Disaster Risk Reduction (DRR) procedures effectively. Therefore, efforts are needed to improve disaster warning system among schools by integrating the three pillar principles, which include safe facilities, effective disaster management, and resilience education. This study aims to understand the state of school readiness in the Flores region and assess the extent to which these schools apply the three pillar criteria for school disaster warning system. The research method used is a qualitative descriptive ap-proach, with data collection through an open questionnaire distributed using Google Forms. The result showed that the locations of the respondent's schools are spread across the most disaster-prone areas of Flo-res, especially along the coastal areas. In addition, there are still many schools in the region that have diffe-rent levels of understanding and awareness regarding to disaster warning system. Based on that issue, the program for activating the disaster warning system in school area is very important to apply and can increase public awareness of disaster warning system. To achieve that idea, a collaboration between school commit-tees, external parties, and the Flores community is essential to strengthen the school infrastructure and to build an effective response towards potential disaster risks and threats.
Tsunami event in Flores: literature review Azmi Khusnani; Adi Jufriansah; Ota Welly Jenni Thalo
Journal of Physics: Theories and Applications Vol 7, No 2 (2023): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v7i2.74625

Abstract

The Flores Sea has experienced devastating earthquakes with magnitudes >7 over the past 30 decades. It can trigger a tsunami and provide important theoretical, experimental, and field information. The seismicity study stated that the island of Flores had experienced tsunamis during the pre-instrumental period (1815, 1818, 1820, and 1836) and the pre-instrumental period in 1992. This study discusses the development of tsunami research in Flores using a literature review approach. The data source comes from the Scopus database, with data analysis using VOSviewer. The search results obtained a total of 22 documents, with the result that the 1992 Flores earthquake became the main research topic and the beginning of the era of modern tsunami science.
Comparison of K-Means Algorithm and DBSCAN on Aftershock Activity in the Flores Sea: Seismic Activity 2019-2022 Anyela Aprianti; Adi Jufriansah; Pujianti Bejahida Donuata; Azmi Khusnani; John Ayuba
Journal of Novel Engineering Science and Technology Vol. 2 No. 03 (2023): Forthcoming Issue - 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 Dian Ahdiany; Azmi Khusnani; Adi Jufriansah; Erwin Prasetyo
Journal of Novel Engineering Science and Technology Vol. 3 No. 01 (2024): Forthcoming Issue - 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.
Forecasting the Magnitude Category Based on The Flores Sea Earthquake Adi Jufriansah; Azmi Khusnani; Sabarudin Saputra; Dedi Suwandi Wahab
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.
Pemanfaatan skala danjon sebagai media untuk mengukur rona gerhana Azmi Khusnani; Adi Jufriansah; Yudhiakto Pramudya; Hamzarudin Hikmatiar; Saharul Saharul; Isma Alip; Konsenius Wiran Wae; Yoman Ribeta Ratu Yohakim
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.22869

Abstract

AbstrakProses terjadinya Gerhana Bulan Total merupakan fenomena astronomi yang  terjadi ketika seluruh permukaan Bulan tertutupi oleh bayang bayang Bumi atau disebut dengan umbra. Hal ini dapat terjadi ketika konfigurasi antara Bulan, Bumi, dan Matahari berada pada satu garis lurus. Oleh karena itu, fenomena Gerhana Bulan Total akan terjadi bersamaan dengan fase Bulan Purnama. Tujuan dilakukannya pengabdian ini adalah untuk mengamati Gerhana Bulan. Metode yang digunakan adalah observasi dan pengisian angket skala Danjon. Pelaksanaan kegiatan dilakukan pada tanggal 8 November 2022 yang dimulai pada pukul 18.00 WITA dengan peserta yang berasal dari masyarakat umum dan masyarakat Universitas Muhammadiyah Maumere. Berdasarkan hasil implementasi diketahui bahwa kondisi cuaca pada saat pelaksanaan sulit dilakukan pengamatan karena kondisi mendung disertai gerimis. Namun, peserta yang mengamati dapat menilai kecerahan gerhana bulan Kata kunci: gerhana bulan total; astronomi; skala danjon; pengamatan. AbstractThe total lunar eclipse process is an astronomical phenomenon that occurs when the Earth's shadow, called the umbra, covers the entire moon's surface. It can happen when the configuration between the Moon, Earth, and Sun is straight. Therefore, the total lunar eclipse phenomenon will co-occur with the complete moon phase. The purpose of doing this service is to observe the Lunar Eclipse. The method used is observation and filling out the Danjon scale questionnaire. The implementation was carried out on November 8, 2022, starting at 18.00 WITA with participants from the general public and the Universitas Muhammadiyah Maumere community. Based on the implementation results, it is known that the weather conditions at the time of observation were challenging because of cloudy conditions accompanied by drizzle. However, participants can judge the brightness of the lunar eclipse. Keywords: total lunar eclipse; astronomy; danjon scale; observation.
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.
Aktivitas Seismik Gempa Bumi Laut Flores: Periode 30 Tahun Azmi Khusnani; Adi Jufriansah; Konsenius Wiran Wae; Dwi Sulistyaningsih; Margiono Margiono
DIFFRACTION: Journal for Physics Education and Applied Physics Vol 6, No 1 (2024)
Publisher : Pendidikan Fisika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/diffraction.v6i1.8836

Abstract

Pulau Flores, yang terletak di bagian timur Indonesia, khususnya Nusa Tenggara Timur, merupakan salah satu daerah di Indonesia Timur yang memiliki risiko tinggi terhadap gempa bumi. Catatan sejarah mencatat bahwa wilayah Flores telah mengalami gempa bumi dengan kekuatan magnitudo lebih dari 7 pada tahun 1992, 1996, 2015, dan 2021. Oleh karena itu, sangat penting untuk melakukan sebuah studi yang komprehensif terhadap aktivitas seismik yang terjadi di wilayah ini. Oleh karena itu penelitian ini bertujuan untuk memahami aktivitas gempa bumi di Laut Utara Flores selama periode 30 tahun dengan menganalisis frekuensi dan magnitudo gempa yang terjadi. Metode yang digunakan dalam penelitian ini adalah pemetaan berdasarkan aktivitas seismik dan distribusi frekuensi, yang memungkinkan peneliti untuk lebih memahami pola gempa bumi di wilayah Flores dan menganalisis perubahan frekuensi kejadian gempa selama periode yang diteliti. Hasil penelitian ini mengungkapkan bahwa selama periode 30 tahun di Laut Flores, terdapat keterkaitan antara kejadian gempa bumi dengan magnitudo 4, yang mengindikasikan adanya aktivitas seismik yang berlangsung secara berkelanjutan di wilayah ini. Pola distribusi gempa selama periode ini memberikan wawasan yang berharga tentang tingkat aktivitas lempeng tektonik di wilayah Laut Flores, serta risiko potensial terjadinya gempa bumi di masa depan. Penelitian ini merupakan langkah penting dalam upaya pemahaman dan mitigasi risiko gempa bumi.
Co-Authors Ade Anggraini Adi Jufriansah Anis Rohadatul Niehlah Anyela Aprianti Arief Hermanto Arief Hermanto Arief Hermanto Colomeischi Aurora Adina Danurdara Setiamukti Dedi Suwandi Wahab Dian Ahdiany Donuata, Pujianti Bejahida Dwi Sulistyaningsih Endang Sulastri Erwin Prasetyo Fitri Nur Hikmah Hamzarudin Hikmatiar hikmatiar, hamzarudin Irfan Miftahul Fauzi Ishafit Ishafit Isma Alip John Ayuba Kartika Dewi Rahmawati Konsenius Wiran Wae Kristina Theresia Leto M Taufiqurrahman Margiono Margiono Moh. Toifur Mohammad Fitri Mohammad Fitri Mohammad Fitri Muhammad Ihsan Mulya Afriyanto Mulya Afriyanto Mulya Afriyanto Mulya Afriyanto Nurdin H. Abd. Rahman S. Nursina Sya'bania Ota Welly Jenni Thalo Ota Welly Jenni Thalo PRASETYO, ERWIN Rahmawati Husein Rizalul Fiqry Sabarudin Saputra Sabarudin Saputra Saharul Saharul Saharul Tria Puspita Sari Wahyuningsih, Wahyuningsih Yanto Yanto Yoman Ribeta Ratu Yohakim Yudhiakto Pramudya Yudhiakto Pramudya Yudhiakto Pramudya Yunita Kristianti Subandi Zulfakriza Zulfakriza