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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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Religion Agriculture, Biological Sciences & Forestry Arts 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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Understanding the Concept of Photo Electricity: Applications and Implications in Quantum Physics Subandi, Yunita Kristianti; Sulastri, Endang; Bukangdonu, Feronika; Yohakim, Yoman Ribeta Ratu; Jufriansah, Adi; Sahlan
Bincang Sains dan Teknologi Vol. 3 No. 03 (2024): 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.v3i03.702

Abstract

This research investigates the photoelectric effect using PhET Simulation to verify and test hypotheses related to this phenomenon. The study focuses on the interaction between ultraviolet (UV) light and sodium electrodes, analyzing the relationship between light wavelength and the resulting electron energy. Through experiments, critical constants in physics, such as Planck's constant, are calculated to validate the theories of the photoelectric effect. The findings demonstrate a non-linear relationship between UV light wavelength and current strength, with optimal photon energy required to induce maximum electron ejection at specific wavelengths. This research highlights the significance of simulation tools in understanding quantum physics concepts and aims to enhance teaching methods for more effective and engaging physics education.
Analysis of the UtilizationUtilization of a Learning Management System Based on the Independent Curriculum in Physics Education at Sikka Coastal Schools Hikmatiar, Hamzarudin; Al Farizi, Zakaria; Hamsa, Berlian; Nurlina, Nurlina; Jufriansah, Adi; Jayadin, Jayadin
Berkala Ilmiah Pendidikan Fisika Vol 13, No 1 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bipf.v13i1.20322

Abstract

Online learning has emerged as a dominant trend since the onset of the COVID-19 pandemic, leading to significant changes in the educational landscape. Numerous studies have examined using learning management systems (LMS) in educational settings. However, few have addressed the urgency of implementing LMS and the specific challenges coastal schools face. To explore these challenges, the researcher conducted a qualitative, descriptive study to analyze the use of LMS, focusing on a case study of high schools in Sikka Regency. The study involved nine schools, namely SMAN Pemana, MAS Nurwahid Gunung Sari, MAS Muhammadiyah Nangahure, MAS At-Taqwa Beru, SMA Muhammadiyah Maumere, SMAN Magepanda, SMA 1 Talibura, SMKN Talibura, and SMAN 1 Waigete. Data were collected through interviews with nine physics teachers. The research data were then analyzed using NVivo software to obtain quantitative percentages. The findings indicated that all participating schools utilized LMS, with the majority adopting Google Classroom. However, the most significant challenge identified was internet connectivity, with over 50% of the schools acknowledging this issue. Additionally, many students lacked smartphone access, particularly at MAS Muhammadiyah Nangahure, where nearly 2% of students did not own a smartphone, compared to approximately 5% at similar schools. Other challenges included the lack of internet data and limited understanding of technology among students. The most common concern reported by schools was the inflexibility of LMS platforms, particularly concerning their dependence on internet connectivity. For instance, SMAN Pemana noted a 4.8% incidence of issues related to the LMS they were using. Given these obstacles, many schools have turned to alternative solutions to support online learning, such as WhatsApp Groups, which 80% of the schools employ.
Elevation Dynamics and Thermal Variations During the Eruption Phases of Mount Lewotobi Laki-laki Khusnani, Azmi; Jufriansah, Adi; Pramudya, Yudhiakto; Wahab, Dedi Suwandi; Alip, Isma; Samana, Fazaki Ramadhani Anwar; Sina, Tuti Asmianti; Servia; Deti, Maria
Bincang Sains dan Teknologi Vol. 4 No. 01 (2025): 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.v4i01.873

Abstract

Mount Lewotobi Laki-Laki since December 2023, the eruption status has increased, with a substantial increase in November 2024. This led to modifications in the distribution of temperature, the patterns of volcanic material flow, and the morphology of the land. The objective of this research was to examine the relationship between the elevation profiles and temperature fluctuations that occurred during the eruption of Mount Lewotobi Laki-Laki. This investigation illustrates the considerable impact of volcanic activity on the environment by employing satellite data-based methodologies, digital elevation models (DEMs), and thermal analysis. The results suggest that volcanic activity has a significant impact on the distribution of temperature and the alteration of geological structures. The observed temperature increase, which extends from the crater to the slopes and lowlands, has an impact on local ecosystems and atmospheric conditions. The precipitous elevation profile significantly impacts the flow pattern of volcanic material, such as lava and lahars, which can pose a disaster risk to settlements and community activities in the vicinity. This research underscores the necessity of ongoing monitoring for risk mitigation and community preparedness in volcanic disasters.
Exciting science learning in elementary schools with the STREM model: innovative integration for students. Pribadi, Pandu; Jamali, Arif; Nurahman, Arip; Jufriansah, Adi; Kartika , Ika
Research in Physics Education Vol. 3 No. 2 (2024)
Publisher : Insitut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Science learning in elementary schools often faces challenges in student engagement and conventional teaching methods. The STREM model offers an interdisciplinary approach that not only improves science understanding but also integrates Islamic values. Therefore, this study aims to analyse the effectiveness of applying the STREM model in improving students' understanding and engagement in science learning at one private elementary school in the West Java province. This study used the Kemmis and McTaggart CAR model with 2-3 cycles, consisting of the stages of planning, implementation, observation, and reflection. Data were collected through observation, interviews, learning outcome tests (pre-test and post-test), and student response questionnaires, then analysed descriptively quantitatively and qualitatively. The results showed that the application of the STREM model improved student learning outcomes, with the average score increasing from 68 to 87, and a decrease in students in the "Needs Guidance" category from 45% to 10%. In addition, students' involvement in exploration increased from 55% to 92%, indicating that project-based learning and experimentation in the STREM model can increase students' interest and understanding of science. Thus, the STREM model proved effective in improving students' understanding of science, strengthening the integration between science and Islamic values, and increasing engagement in scientific exploration. However, teacher adaptation to exploratory methods and project time management are challenges that need to be refined. Therefore, additional training for teachers and flexibility in managing learning time are needed to optimize the implementation of the STREM model.
Factors shaping Indonesian preservice math teachers’ digital media adoption in online mathematics teaching practice: An instrument development and validation study Ishartono, Naufal; Halili, Siti Hajar binti; Razak, Rafiza binti Abdul; Jufriansah, Adi
Journal on Mathematics Education Vol. 15 No. 4 (2024): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.v15i4.pp1219-1250

Abstract

Numerous studies have examined the development of instruments to identify factors influencing preservice teachers' integration of technology in teaching practices. However, limited research has been dedicated to designing instruments specifically tailored to assess mathematics preservice teachers' integration of Digital Mathematics Learning Media (DMLM) during online teaching practice. This gap is particularly pertinent in the Indonesian context, where assessing future teachers' competencies is crucial. Addressing this gap, the present study endeavors to develop and validate an instrument to identify the factors influencing Indonesian Preservice Mathematics Teachers' (PSMTs) integration of DMLM in online teaching practice. The instrument's theoretical foundation is derived from the Technological Pedagogical Content Knowledge (TPACK) framework, with an emphasis on the Math-TPACK domain, and the Theory of Planned Behavior, focusing on beliefs related to DMLM and online learning. The research employed the ADDIE model for instrument development, combined with Exploratory Factor Analysis (EFA), involving a sample of 303 Indonesian preservice mathematics teachers. The study resulted in the development of a questionnaire comprising 59 indicators across four domains: Math-TPACK, Beliefs on Online Learning, Beliefs on DMLM, and the Use of DMLM. This instrument provides a robust tool for policymakers and educators to identify critical factors affecting PSMTs' effectiveness in online mathematics teaching. Additionally, it offers insights for designing targeted interventions to enhance the quality of online teaching practices.
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.
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