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All Journal Komunikasi Fisika Indonesia JGE (Jurnal Geofisika Eksplorasi) JOURNAL ONLINE OF PHYSICS Jurnal Penelitian Pembelajaran Fisika Jurnal Ilmu Fisika STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Inovasi Pendidikan Jurnal Kumparan Fisika International Journal of Applied Sciences and Smart Technologies Jurnal Fisika dan Terapannya Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Bio-Geo Material Dan Energi JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) International Journal of Hydrological and Environmental for Sustainability Dedikasi: Jurnal Pengabdian Kepada Masyarakat Newton-Maxwell Journal of Physics Jurnal Pengabdian Masyarakat Pinang Masak
Jesi Pebralia
Program Studi Fisika, Fakultas Sains Dan Teknologi, Universitas Jambi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Other

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Synthesis and Characterization of ZnO/Ag Thin Films as Peat Water Degraders in East Tanjung Jabung Regency, Jambi: ZnO/Ag Thin Films Pradila, Mutia Hasmi; Pebralia, Jesi; Deswardani, Frastica
Jurnal Bio-Geo Material Dan Energi Vol. 2 No. 1 (2022): Journal of Bio-Geo Material and Energy (BiGME), March 2022
Publisher : PUI BiGME Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/bigme.v2i1.31178

Abstract

Telah dilakukan sintesis dan karakterisasi lapisan tipis ZnO/Ag dengan teknik doctor blade sebagai aplikasi fotokatalis, pendegradasi air Gambut di Kabupaten Tanjung Jabung Timur. Bahan utama dalam pembuatan lapisan tipis adalah Zinc Acetat merck dan AgNO3 sebagai bahan utama Ag. Lapisan tipis di buat dengan variasi doping Ag 0%, 2%, 5%, dan 7%. Sintesis ZnO/Ag menggunakan metode sol-gel dan pembuatan lapisan tipis dengan teknik doctor blade. Hasil karakterisasi UV-Vis menunjukan nilai band gap ZnO/Ag secara berturut-turut yaitu sebesar 3,25 eV, 3,00 eV, 2,65 eV, 2,85 eV. Artinya band gap energy cenderung menurun seiring bertambahnya doping yang diberikan. Hasil analisis data XRD menunjukan ZnO/Ag 0%, 5% dan 7% berbentuk Hexagonal dengan ukuran Kristal berturut-turut sebesar 49,99 nm, 41,66 nm, dan 41,66 nm. Kemampuan degredasi ZnO/Ag terhadap air gambut terbaik ialah ZnO/Ag variasi doping 5% dengan persentasi degredasinya yang dilakukan dibawah lampu UV-Vis sebesar 92,9 % untuk uji parameter TDS, pH 6,7 dan uji parameter TSS 35,5%
SOSIALISASI PENERAPAN TEKNOLOGI OTOMATIS PENGERING “KERUPUK BAKAR” GUNA MENGATASI KETERGANTUNGAN PROSES PENGERINGAN DENGAN PANAS MATAHARI DI KELURAHAN JELMU KECAMATAN PELAYANGAN, KOTA JAMBI Deswardani, Frastica; Pebralia, Jesi; Anggraini, Rista Mutia; Afrianto, Muhhamad Ficky; Maulana, Lucky Zaehir
Bestari: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/dpkm.v5i1.2861

Abstract

The production of "kerupuk bakar" (grilled crackers) in Jelmu Subdistrict, Pelayangan District, Jambi City, faces drying challenges due to dependence on sunlight, particularly during the rainy season. This community service activity aims to introduce automatic drying technology to reduce weather dependency. The technology features a heating system with adjustable temperature and time settings, providing an efficient, fast, and consistent drying process. Methods include training on equipment usage and mentoring for local "kerupuk bakar" entrepreneurs. Results show that the implementation of automatic drying technology improves productivity, quality stability, and local entrepreneurs' income. This activity is expected to be a long-term solution to support economic growth in the region’s home industries.
Sosialisasi Penggunaan Aplikasi Origin dan ImageJ untuk Analisis Sampel Material pada Mahasiswa Program Studi Fisika FST Universitas Jambi Pujaningsih, Febri Berthalita; Deswardani, Frastica; Alrizal, Alrizal; Pebralia, Jesi; Afrianto, M Ficky; Maulana, Lucky Zaehir; Anggraeni, Rista Mutia; Samsidar, Samsidar; Fendriani, Yoza; Hamdi, Husnul; Resta, Ichy Lucya
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 1 (2026): Abdira, Januari
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i1.1284

Abstract

In the digital era, the ability to process and analyze experimental data has become an important skill in the field of materials science and engineering. Origin is a commercial software widely used for numerical data analysis and scientific visualization, while ImageJ is open-source software that functions in image processing of microscopic characterization results. Considering the importance of mastering both software, a socialization activity and basic training on the use of Origin and ImageJ was held for students of the Physics Study Program, Faculty of Science, University of Jambi. This activity aims to enable students to operate the software in processing research data independently and in accordance with scientific publication standards. Evaluation of the training was carried out by assessing the level of student understanding, which showed an increase in basic skills in using Origin for quantitative data analysis and ImageJ for digital image analysis.
A Computational Physics–Based Machine Learning Modelling of Multiphase Flow Dynamics for Crude Oil Percentage Prediction Using Water Cut and Sediment Indicators Pebralia, Jesi; Amri, Iful; Amanda, Dwi Rahmah; Kurniawan, Muhammad Aziz
Jurnal Ilmu Fisika Vol 18 No 1 (2026): March 2026
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.18.1.80-92.2026

Abstract

Existing crude oil percentage prediction methods often rely on direct measurements and historical data, neglecting the coupled multiphase characteristics of oil–water–sediment systems, which limits predictive accuracy. This study develops a computational physics–based machine learning model integrating key multiphase production parameters, including water cut, basic sediment, and BS&W, using samples from PT. Pertamina Puspa Field Jambi. Data were split into two sets: one for model development and one for validation to prevent overfitting. Linear Regression, Support Vector Machine (SVM), and Random Forest algorithms were applied, with Linear Regression achieving the best performance. For the test dataset, the model yielded a Mean Absolute Error of 0.022168, a Mean Squared Error of 0.001227, and an accuracy of 0.99877, demonstrating precise capture of multiphase interactions. The proposed computational physics–based modelling framework provided improved predictive reliability and consistency. Correlation analyses indicated a coefficient of determination (R²) of 0.99 and a perfect negative correlation (r = −1) between BS&W and oil content, showing that higher BS&W corresponds to lower oil percentage. This framework offers improved predictive reliability and consistency for crude oil quality assessment.
Co-Authors -, Maison Afrianto, M Ficky Afrianto, Muhammad Ficky Afrianto, Muhammad Ficky Afrianto, Muhhamad Ficky Alrizal, Alrizal Amanda, Dwi Rahma Amanda, Dwi Rahmah Anak Agung Istri Sri Wiadnyani Ananda, Jihan Suci Anggraeni, Rista Mutia Anggraini, Rista Mutia Ardiyaningsih Puji Lestari Arini Rosa Sinensis Aryanti, Yesi Atsilah, Mutiara Basima Chintiya Romarti Dawam Suprayogi Desi Ayundari Ega Sapina Ermadani Ermadani Faizar Farid Febri Berthalita Pujaningsih Fiona Fiona Frastica Deswardani Frayoga, Andito Frincess Yeny Sirait Hamdi Akhsan Heriyanti Heriyanti Husnul Hamdi Iful Amri Irene Regina Kurniawan, Muhammad Aziz Lia Wilani Linda Handayani Lucky Zaehir Maulana Mabruroh, Faizatul Madyawati Latief Mardian Peslinof Melly Ariska Muhammad Muslim Nur Syaqila, Cindy Nurhidayah Nurhidayah Nurhidayah Nurhidayah Nurhidayah Nurhidayah Pradila, Mutia Hasmi Putri, Jamiatul Khairunnisa Raden Mohamad Herdian Bhakti Ramadoni, Ramadoni Resta, Ichy Lucya Restianingsih, Tika Riany, Hesti Rista Mutia Anggraini Rizqa Raaiqa Bintana Rustan Samsidar Samsidar Samsidar Samsidar Saparullah, Rizky Sri Purwaningsih Sugiarti Sugiarti Suhadi Suhadi Surya Dharma Sutrisno Tika Restianingsih Tika Restianingsih Tine Aprianti Wulandari, Marita Yoza Fendriani