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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 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 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 Buletin Ilmiah Sarjana Teknik Elektro 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
Adi Jufriansah
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Pemberdayaan Masyarakat Dalam Pelestarian Hutan Mangrove di Desa Darat Pantai Danar Aswim; Muhamad Taufik Arifin; Adi Jufriansah; Hamzarudin Hikmatiar; Fransiska Antonia Sari; Aurelia Aleny
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 6 No. 1 (2023): May: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v6i1.3478

Abstract

Salah satu kawasan hutan mangrove yang perlu dilestarikan yaitu di Desa Darat Pantai. Pohon mangrove di Desa Darat Pantai tergolong masih kurang lebat dan kurang di perhatikan, sehingga masih memiliki potensi terjadinya erosi dan abrasi serta peresapan air laut ke daratan. Mangrove dapat mencegah erosi dan abrasi di wilayah pesisir, selain itu dapat menjaga keseimbangan ekosistem di dalamnya. Upaya pelestarian hutan mangrove sangat penting untuk dilakukan. Kegiatan pemberdayaan kepada masyarakat dilakukan oleh Dosen dan mahasiswa KKNT IKIP Muhammadiyah Maumere. Tujuan pemberdayaan ini untuk melestarikan dan menegaskan manfaat utama hutan mangrove di Desa Darat Pantai. Kegiatan ini dilaksanakan 25 Desember 2022 di Desa Darat Pantai Kecamatan Talibura. Metode Kegiatan yang digunakan yaitu penanaman secara langsung di dusun Wair Wua. Program ini diharapkan dapat menumbuhkan rasa kepedulian masyarakat dalam melestarikan hutan mangrove di Desa Darat Pantai.      
Character Education Implementation of Environmental Care through Used Cooking Oil Utilization as Aromatherapy Candles Based on Project Based Learning Dwi Prastyo; Ahmad Iqbal Hidayat; Rizky Habibur Rohman; Randy Saputra Mahmud; Noly Shofiyah; Fitria Eka Wulandari; Mahesa Maulana; Adi Jufriansah
International Conference on Education for All Vol. 1, No. 2, June 2023
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Peguruan Tinggi Muhammadiyah dan Aisyiyah

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Abstract

Education is a learning process conducted in schools as formal educational institutions to equip students with the skills and awareness needed for developing interests and talents while fostering independence. Education should be capable of generating ideas or works that contribute to the advancement of a nation, one of which is character education. The Research and Development Agency of the Ministry of Education and Culture has formulated 18 values encompassed within character education, one of which is environmental care. This objective can be achieved through project-based learning utilizing used cooking oil to create aromatherapy candles. The method employed in this endeavor is a practical approach, in which the author plays the role of a teacher or facilitator at the ICC Ladang Kosma, conducting project-based learning activities. The outcome of this initiative is that students at ICC Ladang Kosma acquire new knowledge and experiences regarding the positive and negative impacts of producing aromatherapy candles from used cooking oil, indirectly instilling character education among the students.
Learning English Vocabulary in Nursing Context for Nursing Students Puteri Novianty; Tenny Murtiningsih; Noor Aida Aflahah; Hafizhatu Nadia; Adi Jufriansah; Ajah Saputra
International Conference on Education for All Vol. 1, No. 2, June 2023
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Peguruan Tinggi Muhammadiyah dan Aisyiyah

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Abstract

The background of this research is to find out how to learn and apply English vocabulary in the nursing class. This study aims to find out the right way to teach English vocabulary to nursing students at a private university in Banjarmasin. This type of research uses qualitative research methods with case studies. The research instrument used interviews. The research subjects were 4th semester nursing students at a private university in Banjarmasin. Nursing students learn English by taking turns reading, presenting in English. The problems encountered during learning activities in class are sometimes not understanding when the lecturer explains, because each lecturer has a different accent, and some say that they don't learn English from the basics, so it's rather difficult to understand. The way to solve the problems found is to listen to English songs more often and watch movies with English subtitles to find out new vocabs, and also don't forget to often speak English with friends. The application of vocabulary in nursing classes students apply their English to communicate with patients and communicate with fellow nurses, actually the application is richer to friends and plans to patients, but this patient has not been implemented yet, the plan is implemented in 7th semester.
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
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.
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 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 Farizi, Zakaria Al Febriyanto Arif Nugroho 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 Hidayah, Rihmah Alifah hikmatiar, hamzarudin Irfan Miftahul Fauzi Isma Alip Jaudin, Santi Hasan Jayadin Kanisius Goreti Sangi Kartika , Ika Kartika Dewi Rahmawati Kartika Firdausy Khoirunnisa, Itsnaini Irvina 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 Maulidan, Muhammad Maure, Osniman Paulina Meda, Helmiana Dua Moh. Toifur Mohammad Fitri Mohammad Fitri Muhamad Taufik Arifin Muhammad Akbar Muhammad Syahriandi Adhantoro Mulya Afriyanto Murinto Murinto Murti, Bayu Krisna 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 Nuniati Nuniati Nurahman, Arip Nurdin H. Abd. Rahman S. Nurlina Nurlina Nurrahman, Arip Nursilawati, Wingki Nursina Sya'bania Okimustava Okimustava 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 Rhavida Anniza Andyani 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 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 Yomianus Bura Yudhiakto Pramudya Yudhiakto Pramudya Yudhiakto Pramudya Yunita Kristianti Subandi Z. Zulfakriza Zulfakriza, Zulfakriza