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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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Spatial Analysis of Vegetation Index in Ambon City Center Area, Indonesia using Sentinel-2 Satellite Imagery in Google Earth Engine Rifai , Ahmat; Halim; Rakuasa, Heinrich; Tade , Ferdi; Purnama , Aventus; Jufriansah , Adi; Khusnani , Azmi
Frontiers in Sustainable Science and Technology Vol. 2 No. 1 (2025): June
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/fsst.v2i1.365

Abstract

This study analyzed the impact of urbanization on vegetation cover in Ambon City using Google Earth Engine (GEE) technology and the NDVI index. The methods used include Sentinel-2 image data processing and field validation at 40 sample points conducted in Google Earth Engine. The analysis revealed that the Non-vegetation area has a percentage area of 29.25%, Sparse vegetation area of 19.89%, Medium Vegetation area of 21.80% and Dense Vegetation area of 29.06% of the total area of Ambon City center. The results of this study emphasize the urgent need for conservation policies and utilization of monitoring technology in the planning of sustainable green open space in Ambon City Center.
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.
The Use of Audiovisual Learning Media to Enhance Digital Literacy Competence in Indonesian Language Learning Among Fifth-Grade Students at SDN 02 Baleharjo Prayitno, Harun Joko; Fitriany, Devinda Nur; Purnomo, Eko; Andyani, Rhavida Anniza; Adhantoro, Muhammad Syahriandi; Kurniaji, Ganno Tribuana; Jufriansah, Adi
International Conference on Education for All Vol. 2 No. 1 (2024)
Publisher : Asosiasi Lembaga Pendidikan Tenaga Kependidikan Peguruan Tinggi Muhammadiyah dan Aisyiyah

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

Abstract

Information technology has become essential in human life. Coping with this era requires a new literacy that leverages digital tools to enhance literacy skills. By acquiring digital literacy, it is hoped that students can become more critical and creative in selecting information. In education, digital literacy plays a vital role in developing learning materials that foster students curiosity and creativity. Learning media is indispensable for teachers in facilitating the learning process. Learning media plays a crucial role in helping teachers explain learning concepts effectively in the classroom. Learning the Indonesian language in elementary schools plays a significant role in developing language skills such as reading, writing, and listening. In this research, the researchers employed the classroom action research (CAR) method, aimed at addressing problem-solving or making improvements at SDN 02 Baleharjo, Pacitan. The study involved 20 fifth-grade students, comprising 10 male students and 10 female students. The research results indicate that the effectiveness of audiovisual learning media in improving digital literacy competence in Indonesian language learning can increase, resulting in better outcomes compared to learning without the use of audiovisual media.
Pengembangan Komik Fisika Pada Materi Hukum Newton Meda, Helmiana Dua; Donuata, Pujianti Bejahida; Jufriansah, Adi
Kappa Journal Vol 8 No 1 (2024): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i1.21256

Abstract

This study aims to find out the feasibility of developing physics comic media on Newton's Law material so that it can be applied to the learning process. The research was conducted at St. Gabriel Maumere Catholic High School Class X MIA which totaled 22 students. According to the findings of the observations, it appears that learning in class still uses teaching materials in the form of books and various facilities such as projectors, LCDs, so most students feel less attractive in the interest in learning. This is due to the fact that educators are less developing learning media, this is a limitation of knowledge. In order to generate a certain product and evaluate its efficacy, a research approach known as research and development (R & D) or research and knowledge (if translated into Indonesian) is employed. Based on the findings of the data analysis, the product was validated by two experts, namely media and material specialists, and received scores of 80% and 91.1% in the 'Very Good' category. Furthermore, the product was tested to 22 students by obtaining 87% results included under the "Very Good" heading. Thus, it can be said that creating Fiska comics based on information about Newton's Law is thought to be doable and applicable in the upcoming educational process.
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.
Pengaruh Metode STEM Terintegrasi pada Materi Elektronika terhadap Kemampuan Analisis dan Pemecahan Masalah Siswa SMK Pribadi, Pandu; Nurahman, Arip; Jufriansah, Adi
Jurnal Simki Pedagogia Vol 7 No 2 (2024): Volume 7 Nomor 2 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v7i2.805

Abstract

This study evaluates the effect of the integrated STEM method in learning electronics material on the analytical and problem-solving abilities of vocational high school students. The method used is Classroom Action Research (CAR) involving class XI students of Industrial Electronics Engineering at SMK Negeri 2 Banjar. This study involved three cycles of action including planning, action, observation, and reflection. The results showed a significant increase in students' analytical and problem-solving abilities, indicated by an increase in the average score from 60.0 in the pre-test to 80.0 in the post-test in the third cycle. Observations also showed an increase in student participation, with 95% of students actively involved in learning in the last cycle. These results indicate the effectiveness of the STEM method in improving students' competence in the field of electronics as well as their readiness to face the challenges of the world of work or further education.
Comparison of Multi-Face Detection Performance on Images Using Haarcascade, Dlib, and RetinaFace Saputra, Sabarudin; Jufriansah, Adi; Mu’min, Muhammad Amirul; Akbar, Muhammad; Jayanto, Deni Luvi; Hernita, Ayu
Journal of Novel Engineering Science and Technology Vol. 4 No. 03 (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.v4i03.1134

Abstract

Multi-face detection presents a significant challenge in computer vision, especially in environments with limited hardware resources. This study compares the performance of three multi-face detection methods—Haarcascade, Dlib (HOG and CNN), and RetinaFace—using a subset of the WIDER FACE dataset in a CPU-only environment without GPU acceleration. The experiment was conducted in two stages using a total of 300 images from the WIDER FACE dataset, which reflect real-world variations such as pose, scale, illumination, expression, and occlusion. Performance evaluation was carried out using precision, recall, F1-score, accuracy, and processing time as metrics. The results show that RetinaFace consistently outperforms the other methods, achieving superior metrics in Recall (0.92), F1-score (0.93), and Accuracy (0.88) on Subset A, and leading across all metrics on Subset B. While Dlib-CNN demonstrates high detection performance, it suffers from very slow processing time. In contrast, Haarcascade delivers the fastest processing speed but performs poorly in terms of evaluation metrics. The experiments also reveal that RetinaFace is the most consistent and reliable method based on standard deviation values of precision (0.01), recall (0.11), F1-score (0.07), and accuracy (0.11). Overall, this study contributes valuable insights for selecting efficient face detection methods under constrained resource conditions.
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.
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
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.
NuminaMath 7B: Revolutionizing Math Solving with Integrated Reasoning Advanced Generative AI Tools and Python REPL Jufriansah, Adi; Akib, Irwan; Ishartono, Naufal; Khusnani, Azmi; Rahmawati, Tanti Diyah; Malahina, Edwin Ariesto Umbu; Maure, Osniman Paulina; Romadloni, Nova Tri
Jurnal Penelitian Sains Teknologi Vol. 2, No. 1, March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v2i1.15728

Abstract

The efficacy of NuminaMath 7B, an AI model that was created to address mathematical challenges, is assessed in this investigation. We evaluated the model's accuracy and efficiency against conventional methods through experiments that produced quantitative data. Qualitative data were collected through surveys and interviews with users to gain insight into their experiences and pinpoint areas for improvement. The survey results indicated that users found NuminaMath 7B to be pertinent, effective, and user-friendly, as evidenced by the exceptionally high average scores in user experience (95), perception of features and interface (90), and additional feedback (85). NuminaMath 7B was able to offer mathematical solutions with logical and detailed explanations as a result of the model's development through two phases of adjustments, which were conducted using the Chain of Thought (CoT) methodology and inspiration from the Tool-Integrated Reasoning Agent (ToRA) framework. Testing demonstrated that the model achieved a score of 29 out of 50 in the AI Math Olympiad competition, despite encountering difficulties in resolving more intricate problems. This study underscores the significance and urgency of AI technology, particularly in the field of mathematics, as well as the significant potential of AI models to facilitate a more comprehensive comprehension of mathematical concepts.
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