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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.
Thematic Learning Design Using the Internet of Things (IoT) at the Elementary School During the Covid-19 Pandemic Jufriansah, Adi; Khusnani, Azmi
Jurnal Pendidikan Fisika Vol. 10 No. 1 (2022): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v10i1.6292

Abstract

One of the impacts of the Covid-19 pandemic in the world of education is a change in the learning process from face-to-face learning to online learning. To compensate for these changes, it is necessary to integrate technology in learning. The goal of this study is to design thematic learning at the elementary school level by integrating the Internet of Things (IoT) related to climate change parameters. The method in this study uses research and development of IoT-based measuring instruments using the Lolin V3 MCU node, with sensors for temperature, air pressure, humidity, altitude, and light intensity. The research respondents were 20 students. Data collection was carried out using a questionnaire containing four aspects, namely, usability, ease of use, aspects of learning ease, and satisfaction. The results showed that the reliability value > 0.6 and the level of student acceptance of the product was 3.4 with effective criteria. Based on the findings, this instructional design has potential opportunities to increase student engagement even though it is limited in networking. So it can be concluded that IoT-based learning media can be applied as a thematic learning model at the elementary school level during the Covid-19 pandemic.
Optimizing the Role of Teachers and Students in the Digital Era in Facing VUCA Challenges Jufriansah, Adi; Ma'rup; Khusnani, Azmi
Journal of Social and Community Development Vol. 1 No. 02 (2024): Journal of Social and Community Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jscd.v1i02.798

Abstract

In the rapidly developing digital era, technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence of Things (IoT) are becoming an integral part of education. The role of teachers and students needs to be adapted to utilize this technology effectively in facing the challenges of VUCA (Volatility, Uncertainty, Complexity, Ambiguity). This community service aims to identify strategies that can be implemented by teachers and students to utilize digital technology, as well as explore its impact and benefits in education. In addition, this community service will also examine how this technology can help reduce uncertainty and complexity in a changing educational environment. The evaluation results showed excellent achievements with high scores for conceptual understanding and overall benefits, confirming that this activity provides a solid foundation for developing education responsive to the demands of the times, especially in the current VUCA era.
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.
Development of a Physics Experiment Guidebook Using a Smartphone Assisted by the Phyphox Application Junita, Ode; Sanlan, Sahlan; Khusnani, Azmi
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 10 No 1 (2024): January-June
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v10i1.6679

Abstract

The purpose of this study was to determine how to create, evaluate, and implement a physics experiment manual for damped oscillatory motion using a smartphone and the Phyphox application. This study took place at the Integrated Science Laboratory of IKIP Muhammadiyah Maumere and involved 20 students from the second and fourth semesters of the Physics Education Study Program during the 2022/2023 academic year. The methodology used in this research was Research and Development (R&D), which followed the ADDIE development model consisting of five main stages: Analysis, Design, Development, Implementation, and Evaluation. The tools used in this study were expert validation sheets and student response questionnaires. Quantitative descriptive analysis techniques were used to calculate the proportion of expert validation scores and student response questionnaire results. Specialists in materials evaluated the physics experiment manual and gave it a rating of 94%. Meanwhile, media professionals evaluated the same manual and rated it 95%. The combined feedback from both groups indicates that the physics experiment handbook is very eligible to use. According to the student response questionnaire, the average score obtained by the students was 87%, which falls under the category of "very interested." This indicates that the physics experiment manual is highly suitable for learning physics.
Aktivitas Seismik Gempa Bumi Laut Flores: Periode 30 Tahun Khusnani, Azmi; Jufriansah, Adi; Wae, Konsenius Wiran; Sulistyaningsih, Dwi; 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.
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 : Universitas Muhammadiyah Surakarta

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.
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 Hastuti, Isnaini Budi hikmatiar, hamzarudin Irfan Miftahul Fauzi Ishafit Ishafit Isma Alip 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 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 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 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