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All Journal JOURNAL ONLINE OF PHYSICS Jurnal Fisika dan Terapannya Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Bio-Geo Material Dan Energi International Journal of Hydrological and Environmental for Sustainability Dedikasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Pinang Masak
Pebralia, Jesi
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Internet of Things (IoT) and Arduino IDE as a Smart Water Quality Control for Monitoring in Catfish Ponds Saparullah, Rizky; Pebralia, Jesi; Maulana, Lucky Zaehir
International Journal of Hydrological and Environmental for Sustainability Vol. 3 No. 1 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i1.415

Abstract

This research aims to develop a monitoring and control system for catfish pond water quality based on the Internet of Things (IoT). This system uses an ESP32 microcontroller Arduino Integrated Development Environment (IDE) connected to a SEN0131 pH sensor, DS18B20 temperature sensor, and HC-SR04 ultrasonic sensor to monitor water quality parameters such as pH, temperature, and water level. Data obtained from these sensors is stored in a real-time database that can be accessed remotely via the Blynk application. This system is also equipped with a water pump and solenoid valve that automatically controls water filling and discharge based on detected water quality parameters. The test results show that the system has an average accuracy of 99.45% and high precision with an average relative standard deviation of 0.01% in detecting water quality parameters. System operation was carried out for 27 days. The system can run continuously or non-stop. data is input in real-time to blynk, so it can be monitored and controlled from anywhere.
X-Ray Fluorescence Monitoring Metal Content and Nutrient Elements for Predicting Soil Fertility Parameters Based on pH in Ultisol Soil Samsidar, Samsidar; Maison, Maison; Ermadani, Ermadani; Latief, Madyawati; Pebralia, Jesi; Riany, Hesti; Amanda, Dwi Rahma; Maulana, Lucky Zaehir
International Journal of Hydrological and Environmental for Sustainability Vol. 2 No. 3 (2023): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v2i3.290

Abstract

Soil fertility parameters, including macronutrients, micronutrients, and metal content, are very important for optimizing agricultural and plantation land management. Ultisol is a type of soil that is commonly used as a planting medium for oil palm plantations, rubber, and various types of vegetables. Continuous land use causes variations in nutrient and metal content. This change is also caused by the fertilization process and the characteristics of the plants grown in the area. In this study, an analysis of soil fertility parameters (macronutrients, micronutrients, and metal content) was analyzed using X-Ray Fluorescence (XRF) on Ultisol soil taken from Muara Jambi Regency, Indonesia. This analysis was conducted across land-use areas (Palm, Rubber, Vegetables, and Forest). Subsequently, the obtained measurements were used to model correlations with soil pH values to predict soil fertility parameters. The quantitative results showed that the metal content values were reasonably consistent across all locations regarding metal types and their percentage concentrations. However, locations 1 (T1) and 2 (T2) have higher aluminum (Al) content than locations 3 and 4 and lower magnesium (Mg) content. The modeling, when correlated with pH values, indicated that metal elements correlated 0.938, macronutrients 0.934, and micronutrients 0.767. From these correlations, it can be qualitatively inferred that there is a strong relationship between pH and the presence of metal content, macronutrients, and micronutrients. In the future, this can serve as a model for estimating the presence of soil fertility parameters.
Peningkatan Softskills Mahasiswa Program Studi Fisika Di Era Revolusi Industri 4.0 Dan Society 5.0 Pebralia, Jesi; Nurhidayah, Nurhidayah; Deswardani, Frastica
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 3 No. 2 (2022): Desember 2022
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v3i2.21646

Abstract

Pengabdian kepada masyarakat yang diselenggrakan oleh tim dosen Program Studi Fisika, Universitas Jambi bertujuan untuk meningkatkan softskills mahasiswa semester satu yang ada di Program Studi Fisika untuk dapat bersaing di era revolusi industry 4.0 dan society 5.0. Sasaran kegiatan pengabdian masyarakat yaitu seluruh mahasiswa semester satu angkatan 2022 di Program Studi Fisika yang berjumlah 29 orang. Kegiatan dilaksanakan dalam bentuk webinar yang berlangsung pada tanggal 15 Oktober 2022. Metode kegiatan berupa penyampaian materi oleh tim dosen Program Studi Fisika dan pendampingan dalam bentuk diskusi kelompok di kelas, dan evaluasi. Hasil dari kegiatan pengabdian masyarakat ini yaitu dapat meningkatkan pemahaman mahasiswa tentang jenis-jenis softskills yang harus dikuasai untuk hidup di era revolusi industry 4.0 dan society 5.0 dan dapat mempraktikkan softskills dalam bentuk diskusi kelompok di kelas. Kemudian berdasarkan hasil evaluasi dalam bentuk kuisioner menunjukkan bahwa terdapat 39,6% mahasiswa mempunyai softskills dengan kategori sangat baik, 40,9% mahasiswa mempunyai softskills dengan kategori baik, 17,5% mahasiswa mempunyai softskills dengan kategori cukup, dan 1,9 mahasiswa mempunyai softskills dengan kategori kurang.
Pelatihan Pembuatan Kit Praktikum Fisika Berbasis Mikrokontroler Arduino Uno di SMK Negeri 9 Muaro Jambi Restianingsih, Tika; Nurhidayah, Nurhidayah; Pebralia, Jesi; Anggraini, Rista Mutia
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 4 No. 2 (2023): Desember 2023
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v4i2.28797

Abstract

Arduino uno microcontroller is an open source based integrated circuit device that can be easily obtained, relatively cheap, accessible, and low power consumption. It can be applied to design practicum kits related to electronics and electricity. Our community service activity was holding a workshop on making practicum kits based on the Arduino Uno microcontroller for teachers at SMK Negeri 9 Muaro Jambi. The program was carried out through three stages, firstly, observation and survey, next was planning and preparation, and the last one was training. The themes of the chosen practicum kits were the LED turning-on program, distance measuring program, fire detection program, and temperature and humidity measurement. Each of the kits was equipped with the sets needed for practicum, such as Arduino Uno, jumper cables, LEDs, breadboard/protoboard, resistors, USB cables, sensors, etc. The practicum guide book contained the objectives of the practicum, tools and materials used, programming language commands to be uploaded, as well as work steps and evaluations. Workshop was carried out by a lecture about arduino uno microcontroller and demonstration of how to operate practicum kits. During the demonstration activity, the teachers were enthusiastically discussed and asked questions about Arduino Uno microcontroller as a practicum kit.
Analisis Intensitas Radiasi Matahari terhadap Efisiensi Panel Surya menggunakan Algoritma Support Vector Regression (SVR) dan Naïve Bayes Ramadoni; Purwaningsih, Sri; Pebralia, Jesi
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.56806

Abstract

Solar radiation is an alternative energy in the form of heat from electromagnetic waves consisting of electric and magnetic fields. The utilization of solar energy to be converted into electrical energy can be done through solar panels with the photovoltaic effect mechanism. This research aims to analyze the effect of solar radiation intensity on solar panel efficiency using the Support Vector Regression (SVR) and Naïve Bayes algorithms. The research method used is a computational method with Machine Learning techniques. The algorithms used are the Support Vector Regression algorithm and Naïve Bayes. The data used comes from the Jambi Province Meteorology, Climatology, Geophysics (BMKG) Agency. The performance of each model was then evaluated using accuracy metrics to determine the accuracy comparison. The results showed a very strong and positive relationship between solar radiation intensity and solar panel efficiency by 97%. Based on the results, the Naïve Bayes algorithm achieved an accuracy of 96.71%, which shows the model is capable in capturing the relationship between radiation intensity and panel efficiency. Meanwhile, the Support Vector Regression algorithm obtained an accuracy of 80.00 %.
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.
Thermal Comfort and Airflow in Air-Conditioned Systems: Insights from Computational Fluid Dynamic Simulations Pebralia, Jesi; Aryanti, Yesi; Maulana, Lucky Zaehir; Restianingsih, Tika; Wulandari, Marita
International Journal of Hydrological and Environmental for Sustainability Vol. 4 No. 2 (2025): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v4i2.768

Abstract

Air conditioning (AC) systems are vital for ensuring thermal comfort in enclosed spaces, particularly in tropical regions like Indonesia, where high temperatures and humidity can challenge human productivity and well-being. This study investigates airflow distribution patterns in air-conditioned rooms using computational fluid dynamics (CFD) simulations, specifically employing the SST k-ω turbulence model. Simulations were conducted in a 3.5 × 3.55 × 3 m closed room with varied inlet temperatures (289.15–297.15 K) and airflow velocities (2–4 m/s). Results indicate that for every 2 K increase in inlet temperature, the average room temperature rises by approximately 1.37 K. Additionally, a 0.5 m/s increment in airflow velocity leads to an average temperature increase of 0.16 K. The airflow was observed to form a dominant jet stream from the AC inlet, flowing diagonally toward the lower part of the room, creating a low-altitude recirculation zone. This phenomenon influences thermal mixing and occupant comfort significantly. Validation of the CFD model revealed its robustness, with an average temperature deviation of 328.15 K and an Nash-Sutcliffe Efficiency (NSE) score of 0.858. Furthermore, the study suggests optimizing AC placement and operation parameters to enhance energy efficiency while maintaining comfort. These findings provide actionable insights into airflow behavior in tropical environments, promoting better design practices for cooling systems, which are crucial for sustainable development and improved living conditions in tropical climates.
IDENTIFIKASI KANDUNGAN TANAH DI KECAMATAN PEMAYUNG KABUPATEN BATANG HARI PROVINSI JAMBI Samsidar, Samsidar; maison, Maison; Ermadani, Ermadani; Latief, Madyawati; Fendriani, Yoza; Alrizal, Alrizal; Resta, Ichy Lucya; Riany, Hesti; Pebralia, Jesi
JOURNAL ONLINE OF PHYSICS Vol. 10 No. 3 (2025): JOP (Journal Online of Physics) Vol 10 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v10i3.47051

Abstract

Informasi akan kandungan tanah penting diketahui sebagai dasar pengolahan pertanian. Pada Kabupaten batang Hari kecamatan pemayung Provinsi Jambi terdapat dua jenis tanah yang sering dimanfaatkan sebagai lahan pertanian yaitu tanah Ultisol dan Inseptisol. Dalam pemanfaatan sebagai lahan pertanian terhadap kedua jenis tanah tersebut umumnya pelaku pertanian melakukan penanaman langsung sehingga sering kali mendapatkan hasil yang kurang optimal akibat ketidaksesuaian jenis tanaman dan pupuk yang digunakan, untuk itu pada penelitian ini dilakukan karakterisasi terhadap tanah tersebut. Sampel tanah diambil dari 6 titik lokasi dengan ukuran 1km x 2km, selanjutnya dilakukan preparasi untuk pengukuran unsur logam dengan menggunakkan X-Ray Fluorescence (XRF), uji kandungan C-Organik dan pH. Hasil pengujian XRF menunjukkan bahwa daerah aluvial (Inseptisol) memiliki kandungan Mg dan C-organik lebih tinggi daripada tanah Ultisol dimana rata-rata kandungan Mg >18% dan C-Organik >14% serta memiliki kandungan Al dan Si lebih rendah, dimana Al <20% dan Si <25%. Untuk nilai C- Organik tanah inseptisol (aluvial) memiliki C-organik lebih tinggi (>14%) dan pH lebih rendah (<5) dibandingkan dengan tanah ultisol. Dari hasil pengujian kandungan tanah diharapkan pelaku pertanian pada daerah tersebut dapat mengetahui gambaran kandungan tanah dengan cara melakukan pencocokan pendekatan terhadap sampel tanah yang telah dilakukan pengujian pada penelitian ini.
PENGARUH PENYEBARAN ACAK PARTIKEL TERHADAP PERFORMANSI SISTEM PENGUKURAN PM 2.5 BERBASIS SENSOR GP2Y1010AU0F: EKSPERIMEN DENGAN SIRKULASI UDARA BUATAN Frayoga, Andito; Pebralia, Jesi; Afrianto, Muhammad Ficky; Fendriani, Yoza
JOURNAL ONLINE OF PHYSICS Vol. 11 No. 1 (2025): JOP (Journal Online of Physics) Vol 11 No 1
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v11i1.48688

Abstract

Telah dilakukan penelitian mengenai perancangan dan pengujian sistem pengukuran kualitas udara menggunakan sensor Sharp GP2Y1010AU0F untuk mendeteksi konsentrasi partikel debu PM 2.5 dalam ruangan tertutup. Penelitian ini bertujuan untuk merancang sistem monitoring, melakukan kalibrasi sensor terhadap alat referensi standar, serta mengevaluasi akurasi dan presisi pengukuran sensor dalam dua kondisi berbeda, yaitu dengan kipas dan tanpa kipas. Metode yang digunakan dalam penelitian ini yaitu metode research and development (R&D) dengan jenis penelitian eksperimen. Kalibrasi sensor dilakukan dengan membandingkan data sensor terhadap alat referensi standar, dan diperoleh persamaan regresi linier y = 88.082x – 0.1859. Persamaan ini menunjukkan bahwa terdapat hubungan yang kuat antara tegangan output sensor dan konsentrasi partikel debu, yang meningkatkan akurasi hasil pembacaan. Evaluasi akurasi dan presisi menunjukkan hasil berbeda antara kondisi ruangan dengan kipas dan tanpa kipas. Pada kondisi dengan kipas, sensor mengukur nilai rata-rata pembacaan PM 2.5 sebesar 31,4 µg/m³, error absolut rata-rata sebesar 0,6 µg/m³, akurasi sebesar 98,13% dan presisi sebesar 97,56%. Sementara itu, pada kondisi tanpa kipas, nilai rata-rata sebesar 30,2 µg/m³ diperoleh, dengan error absolut rata-rata sebesar 0,2 µg/m³, akurasi sebesar 99,3% dan presisi sebesar 93,85%. Hasil penelitian menunjukkan bahwa keberadaan kipas berperan penting dalam mendistribusikan partikel debu secara merata, sehingga sensor bekerja lebih akurat dan stabil. Pada pengujian menggunakkan debu diperoleh rata-rata pengukuran sensor sebesar 92,15 µg/m³ dengan standar deviasi 8,9 µg/m³ dan rata-rata hasil pengukuran instrumen referensi yang sebesar 94,53 µg/m³. Selisih antara keduanya adalah 2,38 µg/m³, nilai akurasi sensor mencapai 97,48%, yang berarti sensor mampu memberikan hasil pengukuran yang sangat dekat dengan nilai sebenarnya. Sementara itu, nilai presisi yang diperoleh adalah 90,35%
ANALYSIS OF MACHINE LEARNING ALGORITHM PERFORMANCE IN PREDICTING ULTISOL SOIL NUTRIENTS BASED ON IMPEDANCE VALUES Amanda, Dwi Rahmah; Samsidar, Samsidar; Pebralia, Jesi
JOURNAL ONLINE OF PHYSICS Vol. 9 No. 2 (2024): JOP (Journal Online of Physics) Vol 9 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v9i2.32564

Abstract

A study comparing the performance of machine learning algorithms to predict soil nutrient values based on soil impedance has been conducted. The algorithm models used include Linear Model, K-Nearest Neighbors (K-NN) with n-neighbors 3, 18, 21, 24, 27, and 30, Decision Tree with max depth 3, and Random Forest with n-estimators 6 and 21. During the training phase, 10 model variations with the best performance were found, including Linear Model, K-NN (n-neighbors), Decision Tree (max depth 3), and Random Forest (n-estimators 6 and 21). In the testing phase, Random Forest (n-estimator 21) showed the best performance with MAE = 0.15%, MSE = 0.09%, RMSE = 0.31%, and accuracy = 99.85%. Regression analysis indicated an R-squared value of 0.924, indicating that most of the variations in soil impedance values can be explained by variations in soil nutrient values. A regression value approaching 1 indicates that the regression model used has a very good ability to explain the variations observed in the data. This indicates that most of the variations in the dependent variable (the variable being predicted, which is the nutrient values) can be explained by the independent variable (the predictor variable, which is the soil impedance values) in the model. Correlation analysis resulted in a strong negative correlation between impedance and Al, Fe, K, Ca, Zn, Ni, Ta, V, Cr, and Mn (values -0.81 to -0.99), while a positive correlation occurred with Mg, Si, S, Cl, Ti, Zr, and Ga (values 0.65 to 0.99). This indicates that an increase in impedance values is generally followed by an increase in nutrient values.
Co-Authors -, Maison Afrianto, M Ficky Afrianto, Muhammad Ficky Afrianto, Muhhamad Ficky Alrizal, Alrizal Amanda, Dwi Rahma Amanda, Dwi Rahmah Ananda, Jihan Suci Anggraeni, Rista Mutia Anggraini, Rista Mutia Aryanti, Yesi Ermadani Ermadani Febri Berthalita Pujaningsih Frastica Deswardani Frayoga, Andito Husnul Hamdi, Husnul Lucky Zaehir Maulana Madyawati Latief Nur Syaqila, Cindy Nurhidayah Nurhidayah Pradila, Mutia Hasmi Raden Mohamad Herdian Bhakti Ramadoni, Ramadoni Resta, Ichy Lucya Restianingsih, Tika Riany, Hesti Samsidar Samsidar Saparullah, Rizky Surya Dharma Wulandari, Marita Yoza Fendriani