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All Journal Jurnal Fisika FLUX Jurnal Pendidikan Fisika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan AGRITEKNO, Jurnal Teknologi Pertanian Aphorisme: Journal of Arabic Language, Literature, and Education Inovasi Fisika Indonesia (IFI) RENATA Jurnal Pengabdian Masyarakat Kita Semua
Aprilia, Ayu
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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The Implementation Problem Solving Methods of Learning Arabic Lesson Budiman, Agus; Aprilia, Ayu; Zain, Auriza Luthfiah
Aphorisme: Journal of Arabic Language, Literature, and Education Vol 4 No 2 (2023): Geographical Coverage: Indonesia, Nigeria, and Iran
Publisher : Study Program of Arabic Language Teaching

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/aphorisme.v3i2.3462

Abstract

This study examines the process problem-solving method of Arabic lessons at Gontor for the girl's first campus, which is suitable for his students to get good results and according to expectations.The Problem-Solving method provides understanding by stimulating students to pay attention, examine, and think about a problem to analyze the problem further to solve the problem. Analyzing is the concept of combining thoughts with motor activities to solve problems. Sources of data used in this study are primary and secondary data sources. This study uses data collection techniques with interview methods, observation methods, and documentation methods. The technique of guaranteeing the validity of the data in this study is the triangulation of sources and data collection techniques. Qualitative data analysis in this study is descriptive data consisting of three activities simultaneously. Namely data reduction, data presentation, and conclusion. Based on the results of research and analysis, it can be found that the use of problem-solving methods in Arabic lessons in one intensive 2021-2022 is in the problem-solving method, the teacher uses steps such as problem clarification, expression of opinion, evaluation, and implementation. Then, the supporting factors for learning Arabic using problem-solving methods are knowledge, understanding, and application, while the inhibiting factors for learning Arabic using problem-solving methods are time, learning difficulties, and use.
Effect of Formulations and Sweetener Type to Characteristic of Coconut-Pineapple Isotonic Drink Aprilia, Ayu; Maherawati, Maherawati; Dewi, Yohana S K
AGRITEKNO: Jurnal Teknologi Pertanian Vol 12 No 1 (2023): AGRITEKNO: Jurnal Teknologi Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jagritekno.2023.12.1.40

Abstract

Isotonic drinks can replace body fluids quickly because they contain electrolytes needed by the body. This study uses young coconut water as the primary raw material with the addition of pineapple juice to improve the taste and nutritional value of isotonic drinks. This study aimed to determine the characteristics of coconut water isotonic drinks by adding pineapple juice with different formulations and sweeteners. This study used a factorial block randomized experimental design consisting of two factors; the concentration of fruit juice and variations in the type of sweetener. The total of coconut water and pineapple juice was 20 mL with the ratio of coconut water: pineapple juice (14:6); (10:10); and (6:14). The sweeteners used were sucrose (6 g), honey (0.4 g), and stevia (0.03 g). The results showed that the different formulations of coconut-pineapple water affected the antioxidant activity, total dissolved solids, and potassium content of the coconut-pineapple water isotonic drink. Different sweeteners affected the antioxidant activity and total soluble solids of pineapple coconut water isotonic drink. The interaction of formulation and type of sweetener affected antioxidant activity and potassium content. The coconut-pineapple water isotonic drink in this study has met the SNI for isotonic drinks in pH values, sodium content, and total soluble solids for sucrose and stevia sweeteners, but the potassium content still exceeds the standards set by the SNI.
Peningkatan Kompetensi Guru IPA SD di Kecamatan Metro Utara Melalui Pelatihan Pembuatan dan Pengembangan Alat Peraga Fisika Supriyanto, Amir; Pauzi, Gurum Ahmad; Karo-Karo, Pulung; Syafriadi, Syafriadi; Abdurrahman, Ahmad Faruq; Aprilia, Ayu
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 2 No. 3 (2024): Renata - Desember 2024
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.91

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru IPA SD di Kecamatan Metro Utara dalam merancang dan mengembangkan alat praktikum sederhana untuk mendukung pembelajaran IPA, khususnya Fisika. Pelatihan ini mencakup ceramah, diskusi dan praktik pembuatan media praktikum. Media praktikum yang dibuat antara lain media pembelokan cahaya, konveksi pada zat cair dan termometer sederhana. Evaluasi dilakukan melalui pre-test dan post-test untuk mengukur perubahan pengetahuan dan keterampilan guru. Rata-rata nilai peserta pelatihab meningkat signifikan dari 26,92% menjadi 63,08%. Hal ini menunjukkan efektivitas pelatihan dalam meningkatkan pemahaman konsep dan keterampilan praktikum. Hal ini diharapkan berdampak positif pada kualitas pembelajaran IPA di tingkat sekolah dasar, menjadikan Fisika sebagai mata pelajaran yang menarik dan mudah dipahami oleh siswa. Kata kunci: guru IPA SD; alat praktikum sederhana; pembelajaran Fisika; evaluasi pelatihan Abstract This community service activity aims to enhance the competencies of elementary science teacher in Metro Utara in designing and developing simple practical tools to support science learning, especially Physics. The training involved lectures, discussions, and practical sessions to create simple practical media, such as tools for demonstrating convection in liquids, light reflection, and simple thermometer construction. Evaluation was conducted through pretest and posttest to measure changes in the teachers ‘knowledge and skill. The participants’ average scores increased significantly from 26,92% to 63,08%, indicating the training’s effectiveness in improving conceptual understanding and practical skills. These results are expected to positively impact the quality of science education at the elementary level, making Physics an engaging and easily understood subject for student. Keywords: elementary science teachers; simple practical tools; Physics learning; training evaluation
Integration of Machine Learning and NASA POWER Dataset for Predicting Coffee Production in Lampung Aprilia, Ayu; Wahidin, Alka Budi; Abdurrahman, Ahmad Faruq
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 22, No 1 (2025): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v22i1.20980

Abstract

The production of coffee in Indonesia, particularly in Lampung, plays a crucial role in both the local and national coffee sectors. Weather plays a crucial role in the development of coffee trees. Nonetheless, the coffee production is frequently hindered by unpredictable weather conditions. This can be foreseen through the use of scientific forecasting. Blending agriculture and science can maximize coffee production and effective resource utilization. This study creates a predictive model for coffee production by combining machine learning methods with the NASA POWER dataset. Data from NASA POWER is used to acquire information on various weather factors that impact the growth of coffee trees, including solar radiation, temperature, humidity, pressure, soil wetness, and wind speed. Additionally, information on coffee production is sourced from BPS-Statistics Indonesia. The Random Forest algorithm is used to model the connection between variables. The study findings demonstrate that combining machine learning with remote sensing can offer an effective model. Assessment of the R2, RMSE, and MSE figures shows satisfactory results, though not flawless. This happens due to external factors beyond the weather that influence coffee cultivation. The combination of machine learning and remote sensing is incorporated into a website. This model has the potential to be transformed into an app that offers precise details on coffee cultivation in Lampung. This research highlights how remote sensing data can offer insights into predicting sustainable agriculture outcomes.
IDENTIFIKASI REACTIVE OXYGEN SPECIES PADA PLASMA DIELECTRIC BARRIER DISCHARGE KONFIGURASI MESH-COPPER YANG DIRANGKAI SINGLE DAN DOUBLE MENGGUNAKAN OPTICAL EMISSION SPECTROSCOPY: Kata Kunci: Plasma DBD, spesies oksigen reaktif, spektroskopi optik emisi, rangkaian tunggal dan ganda Abdurrahman, Ahmad Faruq; Aprilia, Ayu; Zahar, Intan; Kusumandari, Kusumandari; Saraswati, Teguh Endah
Inovasi Fisika Indonesia Vol. 14 No. 1 (2025): Vol 14 No 1
Publisher : Jurusan Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v14n1.p13-20

Abstract

Penelitian ini bertujuan untuk mengidentifikasi reactive oxygen species (ROS) yang dihasilkan oleh plasma dielectric barrier discharge (DBD) pada konfigurasi rangkaian single dan double menggunakan Optical Emission Spectroscopy (OES). Variasi reaktor DBD digunakan untuk mengevaluasi spektrum emisi plasma. Hasil menunjukkan bahwa intensitas spektrum emisi pada rangkaian double secara umum lebih tinggi dibandingkan dengan Single. Produksi radikal OH dan O pada konfigurasi double lebih stabil, sementara emisi spektrum N₂ menunjukkan intensitas yang lebih besar dibandingkan dengan single. Stabilitas ini diuji lebih lanjut pada sampel dengan pH basa, yang menunjukkan penurunan pH menuju netral. Pengukuran suhu menunjukkan kestabilan selama proses berlangsung, menjadikan konfigurasi double DBD efektif untuk penelitian yang membutuhkan kestabilan suhu larutan. Hasil ini mengindikasikan bahwa rangkaian double dapat meningkatkan efisiensi produksi ROS dalam aplikasi plasma. Kata Kunci: Plasma DBD, spesies oksigen reaktif, spektroskopi optik emisi, rangkaian tunggal dan ganda Abstract This study aims to identify reactive oxygen species (ROS) generated by dielectric barrier discharge (DBD) plasma in single and double configurations using Optical Emission Spectroscopy (OES). Variations in DBD reactors were employed to evaluate the plasma emission spectra. The results showed that the emission intensity in the double configuration was generally higher than in the single configuration. The production of OH and O radicals in the double configuration was more stable, while the N₂ emission spectrum exhibited higher intensity compared to the single configuration. This stability was further tested on a sample with alkaline pH, which showed a decrease in pH toward neutrality. Temperature measurements demonstrated stability throughout the process, making the double DBD configuration effective for studies requiring solution temperature stability. These findings indicate that the double configuration can enhance ROS production efficiency in plasma applications. Keywords: DBD plasma, reactive oxygen species, optical emission spectroscopy, single and double configurations
English Language Aprilia, Ayu; Wahidin, Alka Budi; 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 Aprilia, Ayu; Pauzi, Gurum Ahmad; Supriyanto, Amir; Abdurrahman, Ahmad Faruq; Syafriadi, Syafriadi; Karo-karo, Pulung; Suprihatin, Suprihatin; Manurung, Posman
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
Co-Authors Abdurrahman, Ahmad Faruq Agus Budiman Dewi, Yohana S K Kusumandari, Kusumandari Maherawati, Maherawati Pauzi, Gurum Ahmad Posman Manurung Pulung Karo-Karo Suprihatin Suprihatin Supriyanto, Amir Syafriadi Syafriadi Syafriadi Teguh Endah Saraswati Wahidin, Alka Budi Zahar, Intan Zain, Auriza Luthfiah