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All Journal JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Pengabdian Masyarakat Khatulistiwa Society: Jurnal Pengabdian Masyarakat Journal of Innovation in Applied Natural Science
Ayu Aprilia
Universitas Lampung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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English Language Ayu Aprilia; Alka Budi Wahidin; Syafriadi
JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Vol 13 No 1 (2025)
Publisher : Pendidikan Fisika UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jpf.v13i1.54081

Abstract

Earthquake’s phenomena are critical for understanding Earth's interior, tectonic processes, and disaster preparedness. Because of indonesia location in the Pacific Ring of Fire, it’s suffering from regular seismic activities which result in huge annual losses. This study investigates the earthquake data from 1992 to 2024 by applying clustering techniques such as K-means and geodata visualization. By integrating physics, geospatial analysis, and machine learning, the study processes earthquake data to calculate energy release and analyze spatial-temporal patterns. Principal Component Analysis (PCA) is applied to reduce data dimensionality, while K-Means clustering identifies seismic patterns based on magnitude, depth, and energy. Visual tools, including correlation heatmaps and spatial maps, are used to present findings that support earthquake risk management in Indonesia.The results reveal temporal patterns in earthquake activity, with peaks observed in 2004–2007, associated with significant seismic energy release. Spatial analysis highlights high energy concentrations in megathrust zones. PCA and K-Means clustering identify three distinct clusters with varying correlations between seismic and atmospheric variables, indicating the influence of thermal and tectonic factors. These insights contribute to seismic hazard mapping, risk reduction strategies, and the improvement of earthquake prediction models. Future research should extend datasets and refine machine learning techniques to achieve more accurate predictions.
Penerapan model inverted class sebagai upaya peningkatana kualitas pembelajaran matematika untuk mahasiswa baru di Jurusan Fisika Universitas Lampung Ayu Aprilia; Gurum Ahmad Pauzi; Amir Supriyanto; Ahmad Faruq Abdurrahman; Syafriadi Syafriadi; Pulung Karo-karo; Suprihatin Suprihatin; Posman Manurung
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 3 (2025): May
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i3.30205

Abstract

Abstrak Matematika merupakan fondasi utama dalam penyelesaian berbagai masalah dalam bidang ilmu fisika. Namun, banyak mahasiswa mengalami kesulitan dalam mengusasai konsep-konsep dasar matematika sehingga menganggu prestasi akademik mahasiswa. Pengabdian ini bertujuan mengimplementasi metode inverted class untuk melihat bagaimana keberhasilannya dalam menyelesaikan permasalahan ini. Kegiatan pengabdian dilaksanakan pada minggu ke 3 dan 4 bulan Januari 2025. Kegiatan ini  dibagi menjadi menjadi tiga kegiatan yaitu persiapan kegiatan, pelaksanan kegiatan di kelas serta evaluasi keberhasilan dengan sasaran 55 mahasiswa baru Fisika Unila. Dalam masa persiapakan disusun modul interaktif, menarik dan modern. Lalu dilakukan test pemahaman awal konsep matematika dengan hasil 42,9%. Selanjutnya dilakukan 2 kali pembelajaran dengan inverted class. Pada tahap evaluasi diperoleh peningkatan pemahaman mahasiswa menjadi 60.5%. Dengan tambahan kesan positif terhadap pelaksanaan kegiatan dan modul yang diberikan. Pengabdian ini berhasil menunjukkan bahwa inverted class dapat menjadi solusi untuk mencarik pendekatan yang efektif dalam meningkatkan pemahaman konsep sekaligus melatih kemandirian belajar mahasiswa.  Kata kunci: fisika; inverted class ; mahasiswa baru; pemahaman matematika AbstractHowever, many students struggle to grasp basic mathematical concepts, which negatively impacts their academic performance. This community service program aims to implement the Inverted Class method to evaluate its effectiveness in addressing this issue. The program activities were carried out in 3th dan 4th weeks of January 2025. This program was divided into three stages: preparation, classroom implementation, and evaluation of its success, involving 55 first-year physics students at Universitas Lampung. During the preparation phase, an interactive, engaging, and modern module was developed. An initial test was conducted to assess students' understanding of basic mathematical concepts, yielding an average score of 42.9%. The implementation phase involved two Inverted Class learning sessions. In the evaluation phase, the students' understanding improved significantly, with an average score increase to 60.5%. Additionally, students provided positive feedback on the learning process and the module used. This program successfully demonstrated that the Inverted Class method can serve as an effective approach to improving conceptual understanding while fostering students' independent learning skills. Keywords: inverted class; first-year students; physics; mathematical understanding; independence
EDUKASI FISIKA MATERIAL DI SMAIT DA’ARUL ILMI LAMPUNG: DARI KONSEP KE APLIKASI Yusril Al Fath; Surya Prihanto; Ahmad Faruq Abdurrahman; Ayu Aprilia; Iqbal Firdaus; Posman Manurung; Suprihatin Suprihatin; Donna Agnesia; Salwa Dian Pertiwi
Jurnal Pengabdian Masyarakat Khatulistiwa Vol 8, No 2 (2025): NOPEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpmk.v8i2.5601

Abstract

ABSTRACTMaterial physics is an important branch of science that studies the properties and applications of various materials from atomic level as the foundation for modern technological development. The importance of this field encouraged the implementation of a socialization activity aimed at improving students’ understanding of the basic concepts and applications of material physics. The activity was attended by 22 participants and consisted of three stages: an initial survey, socialization using the one group pretest–posttest design through interactive and contextual methods, and data evaluation. The average pretest score of 2.22 increased to 3.45 in the posttest, indicating an improvement based on the Likert scale. These results show that the socialization activity contributed positively to enhancing participants’ understanding and interest in the concepts and applications of material physics. The interactive approach used in the socialization proved effective in strengthening participants’ motivation and insight into this field.Keywords: Physics, material, educationABSTRAKFisika material merupakan cabang ilmu penting yang mempelajari sifat dan aplikasi berbagai material dari tingkat atomik sebagai dasar pengembangan teknologi modern. Pentingnya bidang ini mendorong dilaksanakannya kegiatan sosialisasi yang bertujuan meningkatkan pemahaman siswa terhadap konsep dasar dan penerapan fisika material. Kegiatan diikuti oleh 22 peserta dengan tiga tahap: survei awal, sosialisasi menggunakan metode one group pretest–posttest design secara interaktif dan kontekstual, serta evaluasi hasil. Nilai rata-rata pretest 2,22 meningkat menjadi 3,45 pada posttest, menunjukkan peningkatan poin berdasarkan skala Likert. Hasil ini menunjukkan bahwa kegiatan sosialisasi berkontribusi positif dalam meningkatkan pemahaman dan ketertarikan peserta terhadap konsep serta aplikasi fisika material. Pendekatan sosialisasi yang interaktif terbukti efektif untuk memperkuat minat dan wawasan peserta terhadap bidang ini.Kata Kunci: Fisika, Material, Edukasi
Beyond the Canopy: Resolving Topographic and Acoustic Complexities with Machine Learning for Karst Avifauna Monitoring Anggyta Fitryan; Ahmad Faruq Abdurrahman; Nuryani; Surya Prihanto; Yusril Al Fath; Ayu Aprilia; Junaidi; Arif Surtono
Journal of Innovation in Applied Natural Science Vol. 1 No. 1 (2025): Journal of Innovation in Applied Natural Science
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jinas.v1i1.52

Abstract

Background of study: Tropical karst landscapes harbor exceptional avian biodiversity but pose unique monitoring challenges due to complex topography, cave reverberation, and humidity-driven sound distortion. Conventional ecoacoustic methods fail in these environments, with indices showing weak correlations (r=0.20-0.43) for avian diversity due to insect masking and abiotic interference. Over 83% of karst-endemic birds lack standardized monitoring protocols despite escalating extinction risks.Aims and scope of paper: This review aims to: (1) quantify limitations of current ecoacoustic methods in karst ecosystems, (2) develop a machine learning-enhanced framework addressing topographic and reverberation effects, and (3) establish conservation-ready protocols for endangered karst avifauna. The study synthesizes evidence from 29 studies across hardware innovation, signal processing, and policy applications.Methods: We systematically analyzed 29 studies on acoustic monitoring in karst ecosystems, focusing on machine learning innovations, topographic adaptations, and conservation applications.Result: Topography drives 47% of soundscape variation, surpassing vegetation effects. Machine learning (CNNs/MFCCs) boosts detection accuracy by 22-80% in reverberant caves. Hybrid protocols enable 25-m resolution habitat mapping and precise disturbance monitoring, overcoming tropical "latitude paradox" limitations.Conclusion: This review establishes the first karst-adapted ecoacoustic framework, integrating machine learning with topographic variables to transform monitoring from biodiversity proxy to precision tool. Critical next steps include developing species-specific call libraries, wind-reverberation filters, and policy integration of acoustic baselines for IUCN assessments. The proposed protocols address urgent conservation needs for Earth's most threatened avian sanctuaries.
From Sensors to Robots: Learning Instrumentation Physics Technology and Computer Vision for Students of SMA IT Daarul ‘Ilmi Bandar Lampung Surya Prihanto; Yusril Al Fath; Ayu Aprilia; Ahmad Faruq Abdurrahman; Raihan Rafii; Dafa Ariwinadi; Satrio; Muhammad Ajie Wahyudi
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2026): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/2ehn9487

Abstract

This community service activity was motivated by students’ limited understanding of instrumentation physics and the lack of exposure to the application of technologies such as sensors, microcontrollers, and computer vision in both daily life and industry, including related study prospects. This activity aims to enhance students’ understanding and interest in instrumentation physics through socialization and technology-based demonstrations. The implementation methods included pre-tests and post-tests to measure improvements in students’ understanding, material delivery sessions, and demonstrations of various technologies, such as sensor-based water quality monitoring systems, microcontroller-based automatic door systems, a 4-DOF robotic arm, and a Python-based computer vision system for hand detection.The results showed an improvement in students’ understanding, as indicated by an increase in the average pre-test score (x = 2.63) to the post-test score (x' = 3.31), with a mean gain of (Δx = 0.68). In addition, students’ interest in pursuing further studies in instrumentation physics also increased after the activity.Overall, this activity proved to be effective in providing students with interactive, contextual, and application-oriented learning experiences.
Co-Authors Ahmad Faruq Abdurrahman Alka Budi Wahidin Amir Supriyanto Anggyta Fitryan Dafa Ariwinadi Donna Agnesia Gurum Ahmad Pauzi Iqbal Firdaus Junaidi Muhammad Ajie Wahyudi Nuryani Posman Manurung Pulung Karo-Karo Raihan Rafii Salwa Dian Pertiwi Satrio Suprihatin Suprihatin Surtono, Arif Surya Prihanto Syafriadi Syafriadi Syafriadi Yusril Al Fath