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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 JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) Newton-Maxwell Journal of Physics Jurnal Pengabdian Masyarakat Pinang Masak
Jesi Pebralia
Physics Department, Faculty Of Sciences And Technology, Universitas Jambi, Jambi - Muara Bulian Street No.Km. 15, Muaro Jambi 36122, Jambi, Indonesia
Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Pendulum Experiments Using A Smartphone-Based Phyphox: An Application of Basic Physics Experiment Course During Covid-19 Jesi - Pebralia
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 5 No 2 (2021): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1178.778 KB) | DOI: 10.19109/jifp.v5i2.7188

Abstract

During the lockdown period and PSBB of Covid-19, all student activities in classroom were eliminated, both activities in the form of theoretical lectures in class and practicum in the laboratory. All learning and teaching activities are carried out online using the Learning Management System (LMS) which is applied to each school and college. Practical activities carried out online and remotely require educators to find the right method so that learning objectives can be achieved as well as conventional learning. The purpose of this study is to provide an overview of one form of basic physics practicum that can be used in remote learning, especially during the Covid-19 pandemic. The topic chosen was pendulum motion using a smartphone based on the Phyphox application. The results obtained show the suitability of data graphs generated from practicum using smartphones and theoretical calculations with an R square value of 0.998. So that smartphones can be used as a tool for basic physics practicum in remote learning. Keyword: covid-19, Phyphox, remote learning, pendulum, physics experiment
A A SIMPLE OF IOT BASED SOCIAL CONTACT TRACKING FOR INFECTIOUS PATIENT USING ULTRASONIC SENSOR: A PRELIMINARY STUDY Iful Amri; Jesi Pebralia
JOURNAL ONLINE OF PHYSICS Vol. 7 No. 2 (2022): JOP (Journal Online of Physics) Vol 7 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v7i2.18192

Abstract

One of the efforts to inhibit the transmission of infectious diseases caused by viruses and bacteria is through applying physical distancing. This study aims to create a contact monitoring tool for patients who have been infected with contagious diseases based on ultrasonic sensors and the internet of things (IoT). This instrumentation system consists of four ultrasonic sensors mounted on the left, right, front and rear sides. The sensor will detect the distance of the object that is approaching directly. Then, the measurement data of each sensor will be sent to the cloud and accessed through the Blynk application. The results show that the performance of each ultrasonic sensor is excellent and can be applied as a distance measuring device between patients and other people. The calibration results show that the ultrasonic sensor can measure a distance of 10-200 cm with an R squared value of 0.999-1. In addition, the ESP8266 also shows excellent performance. ESP8266 can send data to the cloud to be accessed and displayed in the form of a bar graph on a mobile phone. Thus, the overall system can be stated that the instrumentation system has functioned and is working well.
Determining the Coefficient of Restitution Through the “Bouncing Ball” Experiment using Phyphox Jesi Pebralia
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4548

Abstract

This study aims to determine the restitution coefficient based on the reflected sound from the “bouncing ball” experiment. The experiment used a Phyphox-based smartphone. The produced sound came from a reflection between marble and the floor. Theoretically, the value of the coefficient of restitution is obtained based on the square root of the final height of the object’s reflection divided by its initial height. In this study, the determination of the height of the bounce from the “bouncing ball” was measured using the Phyphox application, which was analyzed based on the sound of the bouncing ball and the time interval of the reflection. The results show that the value of the coefficient of restitution for each marble was 0.93, 0.92, and 0.92, while the average error was 0.65%, 0.85%, and 1.43%, respectively. Furthermore, the average error value of the overall measurement is 0.97%. This error is highly dependent on the shape of the object. The rounder a thing is, the higher the level of accuracy will be. In this study, the determination of the coefficient of restitution was carried out in two ways: by comparing the height of the ball’s bounce and the time intervals for the n and n+1 bounce. The value of the coefficient of restitution generated by these methods was identic. Thus, this study had confirmed that the bounce ball experiment using the Phyphox indicated valid data well so that it could be implemented for determining the coefficient of restitution.Keywords: Bouncing ball, Coefficient of restitution, Phyphox, Smartphone
SISTEM MONITORING KEBAKARAN HUTAN BERBASIS INTERNET OF THINGS (IoT) Jesi Pebralia; Rustan Rustan; Rizqa Raaiqa Bintana; Iful Amri
Komunikasi Fisika Indonesia Vol 19, No 3 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.3.183-189

Abstract

In this study, a forest fire monitoring system based on IoT has been developed where the parameters used include temperature, wind speed, air humidity, and hotspots. These physical parameters are measured in real time using sensors installed in locations prone to forest fires. The sensor measurement data sent and processed by the Arduino Uno microcontroller and sent to the server using the Internet of Things (IoT). The forest fire monitoring system developed has a high level of accuracy, where the temperature sensor has an accuracy of 99.9%, the air humidity sensor has an accuracy of 97.85%, and the wind speed sensor has an accuracy of 90.70%. The hotspot detection system also has good performance, where the sensor can detect the presence of hotspot in real time. The development of an IoT system for monitoring four forest fire parameters was made using the Blynk application. The system can work well where data from the four forest fire parameters can be monitored in real time via computer devices or via smartphones.
Analisis Curah Hujan Menggunakan Machine Learning Metode Regresi Linier Berganda Berbasis Python dan Jupyter Notebook jesi pebralia
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 6 No 2 (2022): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jifp.v6i2.13958

Abstract

Indonesia is a country located on the equator. As a result, Indonesia has a dry season and a rainy season. Rainfall prediction is very useful in various fields. The prediction method that is currently developing rapidly is the prediction method using artificial intelligence (AI) techniques. Machine learning is a subset of AI. The application of multiple linear regression algorithms in machine learning can be used to predict a dependent variable with various types of independent variables that affect it. In this study, rainfall prediction has been carried out involving three independent variables, namely wind speed, maximum air temperature, and minimum air temperature with dataset obtained from the kaggle.com site. The dataset used is 6,574 data, where the data is grouped into training data as much as 80% and test data as much as 20%. Multiple linear regression algorithm is written in Python programming language and implemented using jupyter notebook. In this study, a multiple linear regression model was produced with the equation ,, MSE value was 14.02, RMSE was 3.74, and MAE was 2.27.
Analisis Parameter Dinamika Fenomena Bouncing Ball Berbasis Aplikasi Phyphox Jesi Pebralia
Newton-Maxwell Journal of Physics Vol. 3 No. 1: April 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.291 KB) | DOI: 10.33369/nmj.v3i1.21208

Abstract

Peristiwa bola yang memantul dapat digunakan sebagai model untuk mendeskripsikan banyak sekali aspek yang ada dalam mekanika. Pada penelitian ini dirancang fenomena bouncing ball  dimana bola dijatuhkan dari ketinggian tertentu tanpa kecepatan awal dan menumbuk permukaan lantai yang keras. Penelitian ini menggunakan metode penelitian eksperimen menggunakan aplikasi Phyphox sebagai alat bantu untuk menentukan parameter-parameter yang ada pada fenomena bouncing ball . Adapun parameter yang dianalisis pada penelitian ini yaitu berupa kebergantungan energi, ketinggian, dan waktu. Hasil dari penelitian ini menunjukkan bahwa kecenderungan penurunan energi bouncing ball terhadap jumlah pantulan yang terjadi mengikuti grafik eksponensial. Pada eksperimen tahap I dengan bola kelereng berdiameter 15,2 mm diperoleh nilai penurunan energi tiap pantulan mengikuti persamaan eksponensial y=113,77 exp(-0,151x), dengan nilai . Pada eksperimen tahap II dengan bola kelereng berdiameter 15,2 mm diperoleh nilai penurunan energi tiap pantulan mengikuti persamaan eksponensial y=123,4 exp(-0,204x), dengan nilai.. Pada eksperimen tahap III dengan bola kelereng berdiameter 27,4 mm diperoleh nilai penurunan energi tiap pantulan mengikuti persamaan eksponensial y=115,01 exp(-0,176x), dengan nilai .
PENGEMBANGAN ALAT UKUR KEMATANGAN KOMPOS BERBASIS ARDUINO ATMEGA328 Linda Handayani; Jesi Pebralia; Iful Amri; Ardiyaningsih Puji Lestari
JOURNAL ONLINE OF PHYSICS Vol. 8 No. 2 (2023): JOP (Journal Online of Physics) Vol 8 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v8i2.24331

Abstract

Kematangan kompos mengacu pada tingkat dekomposisi atau penguraian bahan organik dalam kompos. Kematangan kompos dapat dilihat dari parameter kelembaban, pH, dan suhu kompos. Pada penelitian ini dikembangkan alat ukur kematangan kompos berbasis arduino ATMega328 yang dilengkapi dengan sensor yang memungkinkan pengukuran parameter-parameter kritis seperti pH, suhu, dan kelembaban, yang sangat penting untuk menentukan tingkat kematangan kompos. Tahapan penelitian meliputi perencanaan desain perangkat keras, perancangan sistem perangkat lunak, perakitan alat, kalibrasi, dan analisis data. Pengujian dilakukan terhadap alat yaitu uji tingkat presisi. Uji presisi dilakukan dengan cara melakukan percobaan pengukuran parameter kompos secara berulang. Pada tahap kalibrasi, diperoleh persentase tingkat akurasi pengukuran suhu sebesar 97,42%, tingkat akurasi pengukuran pH sebesar 97,7%, dan tingkat akurasi pengukuran kelembaban sebesar 99,5%. Hasil pengujian akurasi alat dari masing-masing tiga parameter yaitu nilai suhu, pH, dan kelembaban, menunjukkan bahwa akurasi rata-rata alat berada pada angka 96,87%. Berdasarkan pengujian alat yang dilakukan terhadap sampel kompos dengan lima kali perulangan diperoleh standar deviasi pengukuran dari unsur C yaitu sebesar 1,56 dan nilai koefisien variasi yaitu sebesar 4,3%, deviasi pengukuran dari unsur N sebesar 0,07 dengan koefisien variasi yaitu sebesar 1,92%, standar deviasi dari unsur K yaitu 0,04 dan nilai koefisien variasi yaitu sebesar 0,81%. Rata-rata hasil pengujian nilai presisi enam parameter pada alat yang dikembangkan yaitu sebesar 91,24%. Berdasarkan nilai tersebut, maka alat yang dikembangkan mempunyai tingkat presisi yang sangat tinggi.
Rancang Bangun Sistem Monitoring Kebisingan pada Ruangan dengan Sensor Suara GY-MAX4466 Berbasis Internet of Things (IoT) Lia Wilani; Mardian Peslinof; Jesi Pebralia
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 3 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i3.15492

Abstract

This research is conducted on the design of noise monitoring system in rooms using the GY-MAX4466 sound sensor based on the Internet of Things. The aim of the research is to produce a noise monitoring system that can measure in real time and has measurement characteristics. The method used consists of problem analysis, design, tool assembly, characteristic test and test result data analysis. The characteristics include accuracy, precision, and overall system test. The resulting monitoring system consists of a monitoring tool and a user interface blynk on a smartphone. The design of the monitoring system utilizes the GY-MAX4466 sound sensor to detect sound intensity level and the NodeMCU ESP8266 as a microcontroller that can exchange data via the internet network. Information on the noise level in the room can be viewed through the blynk application. The results of the test show the system has an accuracy value of  97.58 % and  a precision value of 97.84%. Overall, the system has been successfully implemented. In its implementation in the Electronics, Robotics and Automation Laboratory, the system can effectively monitor noise at a distance of 2 meters.
PENINGKATAN FITUR-FITUR MS.WORD DAN SOFTWARE MENDELEY UNTUK MEMBANTU MAHASISWA DALAM PENYUSUNAN TUGAS AKHIR Frastica Deswardani; Nurhidayah Nurhidayah; Jesi Pebralia; Rustan Rustan; Tika Restianingsih
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 1 No. 2 (2020): Desember 2020
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v1i2.11401

Abstract

Penulisan tugas akhir menjadi kewajiban setiap mahasiswa sebelum menyelesaikan masa studinya. aplikasi yang sering digunakan dalam penulisan adalah Microsoft Word. Beberapa mahasiswa masih terlalu asing dalam menggunakan fitur-fitur advanced dalam Microsoft Word. Selain itu, dalam penulisan tugas akhir membutuhkan referensi sebagai tinjauan pustaka tentang topik penelitian yang dipilih. Beberapa mahasiswa masih mengalami kesalahan dan kebingungan dalam menulis daftar pustaka dan menulis kutipan secara rapi di tulisannya. Oleh karena itu, dilakukan kegiatan pengabdian kepada masyarakat oleh tim dosen prodi fisika Universitas Jambi dengan tema “Peningkatan Advanced Skill pada Fitur Microsoft Word dan Software Mendeley untuk Membantu Mahasiswa dalam Penyusunan Tugas Akhir”. Program pengabdian ini ditujukan untuk mahasiswa di lingkungan Fakultas Sains dan Teknologi. Metode kegiatan yang dilakukan berupa workshop pemaparan materi dan diikuti dengan bimbingan intensif kepada beberapa mahasiswa. Kegiatan workshop dilakukan secara daring pada tanggal 5 September 2020 dan diikuti oleh 50 mahasiswa yang sedang atau akan melaksanakan tugas akhir. Setelah pelatihan selesai, dipilih beberapa mahasiswa dari peserta yang sedang melaksanakan Tugas Akhir untuk mengikuti pendampingan intensif. Dalam kegiatan ini mahasiswa memahami dan dapat mempraktekkan secara langsung fitur-fitur microsoft word dan software mendeley dalam tugas akhir mereka. Pelatihan ini memberikan banyak manfaat kepada mahasiswa terutama dalam penulisan daftar pustaka, penyusunan halaman, dan membuat gambar atau tabel. Kata Kunci: tugas akhir, pelatihan, microsoft word, mendeley
IDENTIFIKASI STRUKTUR LAPISAN TANAH PADA LAHAN GAMBUT DENGAN METODE RESISTIVITAS KONFIGURASI WENNER-SCHLUMBERGER Ega Sapina; Linda Handayani; Jesi Pebralia
JGE (Jurnal Geofisika Eksplorasi) Vol 9, No 2 (2023)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v9i2.270

Abstract

Tanah gambut memiliki karakterisitik kandungan air dan kompresebilitasnya tinggi menyebabkan gambut rentan terjadi penurunan permukaan tanah ketika ada pembebanan. Penelitian ini bertujuan untuk menganalisis ketebalan lapisan tanah gambut di Desa Pandan Jaya Kecamatan Geragai Kabupaten Tanjung Jabung. Metode yang digunakan adalah metode geolistrik resistivitas konfigurasi Wenner-Schlumberger dengan sebanyak 4 lintasan pengukuran masing-masing 110 meter dengan jarak antar elektroda 10 meter. Dari hasil pengukuran resistivitas diperoleh bahwa lapisan gambut di Desa Pandan Jaya Kecamatan Geragai Kabupaten Tanjung Timur memiliki nilai resistivitas  mulai dari 5,03 Ωm hingga 130 Ωm. Dapat disimpulkan lapisan gambut pada lokasi penelitian memiliki ketebalan antara 5 m hingga 7 m.  Informasi ini sangat penting untuk pertimbangan kedalaman pondasi saat akan mendirikan bangunan di daerah tersebut.
Co-Authors -, Maison Afrianto, Muhammad Ficky Anak Agung Istri Sri Wiadnyani Ardiyaningsih Puji Lestari Arini Rosa Sinensis Atsilah, Mutiara Basima Chintiya Romarti Dawam Suprayogi Desi Ayundari Ega Sapina Faizar Farid Frastica Deswardani Hamdi Akhsan Heriyanti Heriyanti Iful Amri Lia Wilani Linda Handayani Linda Handayani Mabruroh, Faizatul Mardian Peslinof Melly Ariska Muhammad Muslim Nur Syaqila, Cindy Nurhidayah Nurhidayah Nurhidayah Nurhidayah Putri, Jamiatul Khairunnisa Rista Mutia Anggraini Rizqa Raaiqa Bintana Rustan Samsidar Samsidar Samsidar Samsidar Sri Purwaningsih Sugiarti Sugiarti Suhadi Suhadi Sutrisno Tika Restianingsih Tine Aprianti Yoza Fendriani