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Journal of Energy, Material, and Instrumentation Technology
Published by Universitas Lampung
ISSN : 27472043     EISSN : 2747299X     DOI : https://doi.org/10.23960/jemit
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
Ruang lingkup penulisan dalam jurnal ini meliputi: 1. Fisika Teori Mekanika Klasik Elektromagnetik Termodinamika Mekanika Statistik Mekanika Kuantum Teori Relativitas Kuantum Gravitasi Astrofisika Kosmologi 2. Fisika Bumi (Geofisika) Geothermal Geolistrik Seismik Geomagnet 3. Fisika Material Nanomaterial Logam dan Korosi Material Magnetik Thin Film Fotokatalis/Katalis Semikonduktor Superkonduktor Keramik Polimer 4. Elektronika dan Instrumentasi Sensor Instrumentasi Biomedik Instrumentasi Pertanian Instrumentasi Lingkungan Biofisika Fisika Komputasi Laser 5. Fisika Nuklir Keselamatan Reaktor Analisis Neutronik Manajemen Bahan Bakar dan Limbah
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 121 Documents
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LPG Safety Monitoring System Using Artificial Neural Network with Back Propagation Method Based on The Internet of Things (IoT) Abidin, Ramadhani; Supriyanto, Amir; Surtono, Arif; Suciyati, Sri Wahyu
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 3 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i3.176

Abstract

This study aims to create an Artificial Neural Network (ANN) to determine the results of LPG gas monitoring based on gas leakage levels, smoke levels, fires, and ambient temperatures and apply Internet of Things technology in the monitoring system. Variations in the number of nodes in the hidden layer indicate that the ANN performance will be maximal, with seven nodes in the hidden layer with an accuracy value of 99.63%, a precision of 100%, and a loss function of 0.423%. The microcontroller used is NodeMCU ESP32S, with input from the MQ6 sensor to detect LPG gas leaks, an infrared sensor to detect flames, an MQ-2 sensor to detect smoke, and a DHT-22 sensor to measure the ambient temperature. The resulting system output is a monitoring display using the Blynk platform, fans and Buzzers controlling, and WhatsApp notifications. The system will turn on the fan when the detected LPG level exceeds 250 ppm.
Exploration the Influence of Ag+ Ion Solution Concentration Variations Coated on Biofoam Based on Cassava Starch and Corn Fiber on Crystallinity, Density, and Porosity Ginting, Pariaman; Sutiarno, Sutiarno; Wijaya, Galang Haedi; Karo, Pulung Karo; Suka, Ediman Ginting; Riyanto, Agus
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 2 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i2.177

Abstract

The bio-foam in this study was made from biopolymers in the form of cassava starch, cellulose from corn stalks, and a binder polymer in the form of polyvinyl alcohol (PVA). The bio-foam was molded using the thermo pressing method at T = 150 °C and pressed for t = 3 minutes. Ag+ ions were added as an initial review of the physics properties of the bio-foam to serve as a reference for future antibacterial bio-foam manufacturing. Ag+ ions were produced using the electrolysis method from AgBr rods with an electric voltage of 15 volts. Then, the electrolyzed solution containing Ag+ ions was varied in concentration (12 ppm, 17 ppm, 22 ppm, 27 ppm). The ions were then coated on the bio-foam using the dip coating method and dried at room temperature. Along with the increase in the concentration of the Ag+ ion solution coated on the bio-foam, there was an increase in the bio-foam crystallinity with test values of 34.4%, 40.8%, 41.2%, and 42.6%, respectively. Based on these data, the crystallinity value of the bio-foam does not change significantly. It also aligns with the density test values, which tend to be constant with an average test value of 0.322 g/cm³. Furthermore, the concentration of the solution containing Ag+ ions did not influence the bio-foam's porosity properties, where the four samples tended to remain with an average value of 5.9%.
PEMBUATAN NANOSELULOSA DARI KAYU LUNAK PINUS (Pinus merkusii) MENGGUNAKAN METODE HIDROLISIS ASAM Anggraini, Anisyah; Manurung, Posman; Suciyati, Sri Wahyu; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.186

Abstract

The Influence of Heatmap Correlation-based Feature Selection on Predictive Modeling of Low Alloy Steel Mechanical Properties Using Artificial Neural Network (ANN) Algorithm Leni, Desmarita; Sumiati, Ruzita; Adriansyah; Angelia, Nike; Nofriyanti, Elsa
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.203

Abstract

This study aims to evaluate the influence of heatmap correlation-based feature selection on predictive modeling of low alloy steel mechanical properties using an artificial neural network (ANN) algorithm. Heatmap correlation was used to determine the chemical elements most correlated to the low alloy steel mechanical properties, such as Yield strength (YS) and Tensile strength (TS). There were 15 input variables of chemical elements in this study, and after feature selection, 11 input variables were obtained for YS, and 13 input variables were obtained for TS. The ANN model was validated using K-fold 10 cross-validation and evaluated using loss metric, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). The results showed that modeling with feature selection was able to improve the YS prediction, with a decrease in value of 6.83% in MAE and 4.97% in RMSE, while the TS prediction decreased by 16.46% in MAE and 18.34% in RMSE after feature selection. These results indicate that the use of feature selection provides better performance compared to the model without feature selection, and heatmap correlation can be used as an alternative to improve model performance in predictive modeling of low alloy steel mechanical properties using the ANN algorithm.  
Perancangan Sistem Monitoring Kebisingan Secara RealTime Berbasis Website Dalam Lingkungan Kerja Sebagai Pendukung Data Kesehatan Dan Keselamatan Kerja (K3) Febriyanti, Nur Tasya; Pauzi, Gurum Ahmad; Ayu, Humairoh Ratu; Supriyanto, Amir
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 2 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i2.211

Abstract

Penelitian mengenai alat monitoring tingkat kebisingan telah direalisasikan menggunakan sensor suara GY Max 4466 dengan mikrokontroler ESP Wroom 32 berbasis website. Penelitian ini bertujuan untuk mengetahui tingkat kebisingan di lingkungan kerja dan dapat memonitoring tingkat kebisingan berbasis website guna pendukung data kesehatan dan keselamatan kerja. Pengambilan data dilakukan dengan deteksi suara dalam ruangan pompa PDAM Way Rilau Bandar Lampung dari pukul 08.00-12.00 WIB. Hasil penelitian menunjukkan sistem berfungsi dengan keadaan baik, ditunjukkan dengan nilai rata-rata akurasi ke empat sensor sebesar 97,07% dan rata-rata nilai error sebesar 2,93%. Data tingkat kebisingan yang dihasilkan dari ruangan pompa PDAM Way Rilau tergolong tinggi atau bahaya karena sudah melebihi nilai batas ambang (NAB) kebisingan yaitu sebesar 70 dB. Sistem yang digunakan pada website yaitu dengan akses localhost pada komputer yang dapat dimonitoring dalam lingkungan kerja sebagai data pendukung kesehatan dan keselamatan kerja (K3).
Analysis of the Effects of CO2, H2S Composition, and Temperature on Steam Towards Corrosion Rate in Geothermal Power Plants Firdaus, muhammad Rafsya; Hidayati, Noor; Ekayuliana, Arifia
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.215

Abstract

The corrosion in the steam line pipes at the Geothermal Power Plant is caused by acidic substances present in the steam, especially H2S and CO2, originating from the geothermal reservoir. During operation, this leads to thinning of the pipe walls, affecting the pipe's thickness. The purpose of this research is to calculate the corrosion rate and compare the CO2 and H2S composition in each header using Aspen HYSYS software to determine their influence on the corrosion rate. The research findings indicate that the CO2 and H2S composition in the steam significantly affects the corrosion rate in the steam line pipes. Higher concentrations of CO2 and H2S result in a higher corrosion rate, and the higher the temperature, the corrosion rate will increase.
PRODUKSI ALAT ORBITAL SHAKER DENGAN PENGATUR WAKTU DAN KECEPATAN PUTAR MENGGUNAKAN POTENSIOMETER BERBASIS ARDUINO UNO Vicias, Icha Arum; Pauzi, Gurum Ahmad; Ayu, Humairoh Ratu; Suciyati, Sri Wahyu
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 1 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i1.219

Abstract

Mixing solutions is an everyday activity performed in laboratory spaces. Mixing solutions manually by shaking is less effective, as it takes a long time and requires much effort. Therefore, an orbital shaker has been created to mix solutions with a digital unidirectional movement. This device is designed using a DC motor as the driver, an L298N motor driver, an Arduino Uno as the processor, a potentiometer to adjust the speed and rotation time, a seven-segment TM1637 display to show the set values, and push buttons as start and reset buttons. Testing the orbital shaker begins by inputting PWM values on the potentiometer and then measuring the DC motor's rotation speed (rpm) using a tachometer. The calibration testing includes calibrating the rotation speed values (rpm) and time. The results of rotation speed calibration testing show an average error value of 1.09%, accuracy of 98.91%, and precision of 99.77%. In comparison, time calibration yields an average error value of 2.45%, accuracy of 97.55%, and precision of 99.99%. Subsequently, speed testing is conducted using a solution load ranging from 100 to 1000 g, with each increment of 100 g testing rotation speeds from 240 to 360 rpm. The results indicate that when a load is applied, there is a decrease in the measured rotation speed compared to the input speed. The orbital shaker can rotate within a speed range of 240 to 374 rpm and a maximum time of 90 minutes with a maximum load of 1000 g.
Potential of Carbon Fiber as An Insulation Layer In Anti-Sensor Thermal Pdl: A Review Nasution, Rahmatsyah; Murniati, Riri; Nasution, Salsabila Fauziah Dhuha
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 2 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i2.237

Abstract

The advancement of technology, along with the development of the times, makes mastery of technology an absolute thing for the progress of national defense; one of its applications in defense materials is the manufacture of PDL anti-thermal sensor suits. In the PDL anti-thermal sensor suit, carbon fiber is used as insulation. Carbon fiber is a strong, lightweight, and thermal insulator material. This research method uses a qualitative descriptive research method with sources from Google Scholar. In this study, Publish & Perish 8 software was used to help obtain 200 journals on the topics of carbon fiber characteristics, composites, sensors, thermal, carbon fiber resistance generators, carbon fiber thermal conductivity testing, determination of layers of PDL anti-thermal sensor clothes, and the use of carbon fiber as an insulation layer on PDL anti-thermal sensor clothes which were then reviewed as many as 20 journals to be reviewed and summarized for reviewed and summarized to see the potential of carbon fiber as an insulation layer of composite materials in PDL Anti-Thermal Sensor clothing. The conclusion obtained in this study is that carbon fiber has a carbon content of 92% with a solid tensile strength of 452.94 MPa and a low thermal conductivity of 1,13 W/mk and has the potential to be applied as an insulation layer on PDL clothes anti-thermal sensors.
Kemunculan Kemunculan Rashba Splitting Intrinsik pada Monolayer Janus Si2SbBi: Studi Komputasi Berdasarkan Teori Fungsional Densitas Affandi, Yusuf; Darojat, Yusron; Anshory, Muhammad; Masfufah, Awi
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 1 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i1.239

Abstract

In this paper, we investigate the electronic structure of Janus Si2SbBi monolayer and compare it with the non-polar systems Si2Bi2 and Si2Sb2 monolayer based on Density Functional Theory (DFT) calculation. According to the first-principles calculation, these systems exhibit semiconductor properties with energy gaps are 0.674 eV, 0.28 eV, and 1.13 eV for Janus Si2SbBi, Si2Bi2, and Si2Sb2, respectively. In addition, the intrinsic Rashba splitting is also observed around the Γ Point on conduction band minimum (CBM) in the electronic structure of Si2SbBi monolayer, which is not found in Si2Sb2 and Si2Bi2 monolayer systems. This Rashba splitting phenomenon we analyze by using the perturbation theory based on symmetry group and get the first-order Rashba Parameter α1=1.84 eVÅ , and α1=1.73 eVÅ , for Γ-K and Γ-M direction, respectively. With the strong intrinsic Rashba Splitting, the Janus Si­2SbBi monolayer has excellent potential to be the candidate of semiconductor material for spintronics devices.
FTIR, XRD, and SEM-EDX Characterization of Synthesized B-Type Carbonated Hydroxyapatite (CHAp) Based on Crab Shells Muarif, Muhamad Fajar; Yusuf, Yusril; Agipa, Ade Irmadiki
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 1 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i1.241

Abstract

The synthesis and characterization of B-type CHAp based on mangrove crab shells (Scylla serrata) as a source of calcium using the precipitation method has been successfully carried out. Based on the FTIR results, the substitution of carbonate ion for phosphate, which indicates the formation of B-type CHAp, is characterized by the appearance of absorption at wave numbers (CO32-) 1426 and 875 cm-1, PO43- at wave numbers 965, 619 & 569 cm-1. The XRD results show that diffraction peaks (211), (300), and (202) appear at an angle of 2θ ranging from 31°-34°, and there is a phenomenon of a-axis contraction and c-axis expansion in the HAp lattice structure. The SEM-EDX results show that the Ca/P ratio is 1.72, and the carbonate content is 5.01 wt%. All of these parameters are characteristics of CHAp, so it can be concluded that type-B CHAp has been formed.

Page 9 of 13 | Total Record : 121

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