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JFA (Jurnal Fisika dan Aplikasinya)
ISSN : 1858036X     EISSN : 24604682     DOI : -
Core Subject : Science,
JFA (Jurnal Fisika dan Aplikasinya, Abbreviation: J.Fis. dan Apl.) hanya menerbitkan artikel penelitian asli serta mengulas artikel tentang topik seputar bidang fisika (fisika teori, material, optik, instrumentasi, geofisika) dan aplikasinya. Naskah yang dikirimkan ke JFA belum pernah diterbitkan ditempat lain serta tidak dalam proses pertimbangan untuk diterbitkan ditempat lain, dalam bahasa apapun. Studi teoritis, eksperimental, dan praktis sama-sama didorong, seperti juga artikel interdisipliner dan yang timbul dari penelitian dan kolaborasi industri.
Arjuna Subject : -
Articles 423 Documents
Analysis Of The Ina219 Sensor System And Voltage Divider On A Calibrate Multimeter Puspasari, Fitri; Satya, Trias Prima
Jurnal Fisika dan Aplikasinya Vol 20, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i2.21600

Abstract

Research has been carried out on uncertainty studies in current and voltage measurements based on the Internet of Things using the NodeMCU ESP8266 microcontroller. This research aims to design a current and voltage or power meter using a current sensor in the form of an INA219 module and a voltage sensor with a microcontroller-based voltage divider circuit module and determine the validity of the measuring results of the instrument created. The method used in this research consists of three stages: hardware design, software design and system testing. Testing is carried out by analyzing the uncertainty and error values in the current and voltage measurement data. This research shows that the sensors' accuracy shows a percentage uncertainty value of 3.49% for voltage sensor measurements and 0.65% for current sensor measurements at varying resistor values of 100 Ω. Meanwhile, the test load variation in a 300 Ω resistor shows a percentage uncertainty value of 2.99% for voltage sensor measurements and 2.16% for current sensor measurements.
Analysis of glucomannan molecule in Porang (Ammorphophallus Muelleri Blume) flour using nuclear magnetic resonance Rizoputra, Ivan; Wahyudi, Sriati; Puspita, Niniek Fajar; Risdiana, Risdiana; Darminto, Darminto
Jurnal Fisika dan Aplikasinya Vol 20, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i3.21753

Abstract

The porang tuber (Ammorphophallus Muelleri Blume) is a bulb plant belonging to the Araceae family, which contains the polysaccharide substance of glucomannan. In this work, the porang flour has been purified from tubers by a centrifugation method. To study the content of compounds and types of molecules that make up glucomannan, characterization was carried out using 1H and 13C nuclear magnetic resonance (NMR). The analysis on chemical shift data from both NMR spectra can be concluded that glucomannan in porang is more dominantly constructed by glucose molecules rather than mannose. From these results, it is also known that the toxic compound Ca-oxalate which is part of the porang compound has been reduced during the centrifugation process.
Engineering of Organic Photodetector For Visible Light Detection By Vacuum Thermal Deposition Method Chairadeya, Chairadeya; Sumanto, Budi; Estrada, Richie; Biring, Sajal; Liu, Shun-Wei
Jurnal Fisika dan Aplikasinya Vol 20, No 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i1.17927

Abstract

This study aimed to determine the correlation between the photoactive layer thickness of an organic photodetector device and its performance. This research engineered organic photodetectors using zinc phthalocyanine (ZnPc) and fullerene (C60) as photoactive layers for detecting visible light using the vacuum thermal deposition method. Fabrication of organic photodetectors is done by varying the thickness of the photoactive layer at the same ratio. Of the four engineered organic photodetector variations, an active layer thickness of 90 nm produced the best organic photodetector performance. This photodetector has a dark current density of 1.43 × 10-6 A cm-2, a photocurrent density of 6.19 × 10-4 A cm-2, an external quantum efficiency (EQE) of 73.48% at a wavelength of 630 nm, with a responsivity of 0.39 A W-1 at a bias voltage of -3 V.
Analysis of the Effect of Porosity on the Acoustic and Elastic Properties of Materials Using Ultrasonic Immersion Pulse-Echo Technique Maiyena, Sri; Mat Daud, Anis Nazihah; Ayop, Shahrul Kadri
Jurnal Fisika dan Aplikasinya Vol 20, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i3.20656

Abstract

The material properties is an important aspect in determining the potential application of a material. Hence, this study is carried out to determine the effect of porosity on the material properties (acoustic properties and elastic properties) of material using the pulse echo immersion ultrasonic technique. This study comprises of two acoustic properties (longitudinal velocity and acoustic impedance) and five elastic properties (Young's modulus, shear modulus, bulk modulus, longitudinal modulus and Lamé constant). Two types of PMMA samples are used for this study; nonporous sample and porous sample. The result indicated that the material properties (acoustic properties and elastic properties) of porous sample are less than the material properties of non-porous sample. It indicated that the porosity gives significant effect towards the material properties.  
Optimization of Audio System Wireles Transmitter Using Green Laser Puspitasari, Nurrisma; Dwiputra, Adnan Wahyu; Sudarsono, Sudarsono; Yudoyono, Gatut; Prajitno, Gontjang; Indarto, Bachtera
Jurnal Fisika dan Aplikasinya Vol 20, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i3.21861

Abstract

Abstract: Nowadays, many activities are done digitally using wireless technology. Wireless technology is the mainstay of communication, but along with the development of the times, there is a wireless technology that utilizes LASER. There has been quite a lot of research on audio systems with wireless transmitters, but none have analyzed the potential of green lasers to obtain the optimal wavelength for communication. This study aims to design a voice transmission system using a laser, determine the relationship between input voltage and laser light intensity, and compare the output frequency with the input frequency. There are three types of measurements: light intensity and distance, laser diode voltage and intensity, and output frequency compared to input frequency. The audio input signal from the source is modulated and transmitted through a laser light medium. The laser beam is then fired into a receiver circuit that can demodulate the signal which is then sent to the output device in the form of a speaker. The study found that the output frequency had the highest error percentage of 38.70% at 125 Hz and the lowest error percentage of 0.07% at 500 Hz when compared to the input frequency. The biggest mistake comes from the volume dropping at a low frequency. The oscilloscope reading is not accurate due to the smaller volume, which leads to a high deviation value and affects the system performance negatively.
Sensitivity of WRF-HAILCAST Model for Hailstone Detection in Central Lombok on 24 February 2019 Maulana, Muhammad Ikko Safrilda; Kristianto, Aries
Jurnal Fisika dan Aplikasinya Vol 20, No 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i1.14010

Abstract

Hail is one type of extreme weather produced by Cumulonimbus clouds or convective clouds. Due to deep convection involve to physical processes and cloud dynamics, hail may occur in Indonesia. WRF-HAILCAST was used in this study to detect hailstone. The HAILCAST model is applied to WRF-ARW version 4.0 and above in WRF-HAILCAST. The purpose of this study was to determine the sensitivity of the WRF-HAILCAST model with a modified WSM6 microphysics scheme to detect hailstones that possible to reach the surface. The maximum reflectivity value, vertical reflectivity, maximum hailstone diameter, and cloud microphysics were all approximated properly as a result of this study. The estimation of maximum diameter hailstone was 1.6 cm at the time of hail occurred, and the graupel mixing ratio showed 2.2 g/kg which represented small hail could be detected in  this model. However, WRF-HAILCAST tends to underestimate and has not been able to estimate the time of hail events according to weather radar properly.
Hydrothermal Identification Based on Rock Resistivity Value Using Dipole-dipole Configuration Geoelectric Method In Lemeu Village, Lebong Regency, Bengkulu Province Zamrawi, Ripal; Suhendra, Suhendra; Halauddin, Halauddin; Rendoza, Rendoza; Putri, Aisyah Cindy Phylia; Gumanty, Usman; Setiawan, Wahyu Cahyadi
Jurnal Fisika dan Aplikasinya Vol 20, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i3.21623

Abstract

Potensi panas bumi identik dengan keberadaan gunung berapi sebagai sumber reservoir, namun sumber hidrotermal jarang ditemukan di tempat yang tidak berasosiasi dengan gunung berapi dan patahan. Salah satu daerah yang terdapat sistem hidrotermal yang berada di Desa Lemeu belum pernah diteliti. Penelitian ini dilaksanakan pada bulan November 2023 dan pengambilan data dilakukan di sekitar sumber air panas Desa Lemeu, Kabupaten Lebong, Provinsi Bengkulu. Penelitian ini menggunakan alat X612-EM VHR MAE MULTICHANNEL Geoelectric RESISTIVIMETER. menggunakan konfigurasi dipol-dipol dengan nilai resistivitas rendah (20,5 Ωm). Nilai resistivitas rendah ini kemungkinan disebabkan oleh sumber hidrotermal. Pada kedalaman 13,4 m, permukaan biasanya didominasi oleh lapisan hidrotermal, sedangkan nilai resistivitas yang relatif tinggi yaitu 8525 Ωm kemungkinan merupakan batuan keras. Berdasarkan hasil interpretasi penampang resistivitas 2D, terdapat sebaran hidrotermal pada garis survei di Desa Lemeu. Air panas tersebut diduga keluar ke permukaan melalui retakan batuan di bawah permukaan. Sehingga air panas mengalir melalui patahan-patahan di dekat daerah tersebut. Suhu udara di daerah tersebut sekitar 30˚-40˚ C. Karena patahan-patahan di sekitarnya cukup jauh, maka udara di daerah tersebut merambat ke permukaan dari patahan terdekat.
Identification of Shoreline Shifts and Subsurface Layers Using Google Earth Pro with the Multichannel Analysis of Surface Wave (MASW) Method in the Abrasion-Prone Areas of Central Bengkulu to Seluma Putri, Adinda Permata; Refrizon, Refrizon; Hadi, Arif Ismul; Sinaga, Yuni Kharisma; Jaya, Shara Ashari Prana
Jurnal Fisika dan Aplikasinya Vol 20, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i2.21032

Abstract

Abstract: Central Bengkulu to Seluma is mostly abraded and slightly accreted. Shoreline changes occur as a result of sediment movement, wave action, ocean currents, and human activities. This study aims to determine, analyze changes in the coastline from North Bengkulu to Seluma using Google Earth Pro and determine the value of rock stratigraphic layers using the Multichannel Analysis of Surface Wave (MASW) method. Field data collection was carried out using the Seismograph PASI 16S-24P seismic tool. The results of mapping and validation of primary data that has been inversed and then processed in surfer software, show that the beach with the largest abrasion value over a span of 16 years is Muara Dua beach in track 3, with a shoreline change of 6.7m / year. Then based on the value of Vs the coastal area of Central Bengkulu to Seluma is divided into 3 class sites, namely class D stiff soil, C very dense soil and soft rock and B medium rock.
Design of Arduino Uno-Based Height and Weight Measuring Instrument for Initial Screening of Stunting Cases Hayuningclara, Talitha Nabila
Jurnal Fisika dan Aplikasinya Vol 20, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i2.20400

Abstract

Monitoring nutritional status in toddlers is very important because it can be an early indicator of possible health problems in children. Currently, the process of monitoring children's nutrition is generally still carried out manually, which not only takes longer but is also less efficient in practice. To overcome the limitations of conventional measuring devices, a digital measuring device for height and weight was designed. This tool displays the results of height and weight measurements simultaneously on an LCD (liquid crystal display) screen. This tool works with uses an Arduino microcontroller as a control center and uses electronic sensors, namely the HC-SR07 ultrasonic sensor to measure height and the HX711 loadcell sensor to measure weight. From the data obtained, the error value and accuracy of the loadcell sensor after calibration produced an error value of 6.24% and an accuracy of 93.76%. Meanwhile, the ultrasonic sensor test results after the calibration process produced an error value of 0.052% and an accuracy of 99.94%.
Comparison of Supervised Learning Algorithms for Cigarette and Vape Smoke Classification Using Electronic Nose Farghani, Muhammad Agung; Wijayakusuma, Nurul Izzah; Sumanto, Budi
Jurnal Fisika dan Aplikasinya Vol 20, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i3.17939

Abstract

This research discusses applying the Supervised Learning method using Electronic Nose to classify the types of cigarette and vape smoke in the air. Electronic Nose is used as a scent detector that can identify the characteristics of smoke from both sources. Three Supervised Learning algorithms, namely KNN, SVM, and Decision Tree, were applied to compare the performance in classifying smoke types. The data comprised reference air samples, air contaminated by manufactured cigarette smoke, rolled cigarettes, and vape. The results showed that all three Supervised Learning algorithms successfully provided an excellent classification for cigarette and vape smoke types using data from Electronic Nose. The best accuracy result was achieved by SVM, with an accuracy rate of  96.55%. This research contributes to identifying sources of air pollution that have the potential to endanger human health