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JFA (Jurnal Fisika dan Aplikasinya)
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 1858036X     EISSN : 24604682     DOI : -
Core Subject : Science,
Physics
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 6 Documents
 1 
Search results for , issue "Vol 21, No 1 (2025)" : 6 Documents clear
Ensemble Physics of the Weather Research and Forecasting (WRF) Model for Predicting Heavy Rainfall in the Bandung area, West Java Al Habib, Abdul Hamid; Ramadhani, Fathan Ilham; Trilaksono, Nurjanna J.
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.20986

Abstract

The complex topography of the Bandung region, with the presence of mountains and valleys, can affect air flow patterns and rainfall distribution. Accurate weather predictions and spatial precision are crucial for anticipating the impacts of heavy rainfall. This study aims to evaluate the capability of the WRF physics ensemble prediction system in forecasting heavy rainfall events in the Bandung region. The use of an ensemble prediction system is a viable approach to quantifying uncertainty in numerical weather prediction and provide more reliable information. The case study used is the heavy rainfall event that caused flooding on October 4, 2022, in the Pagarsih area. Global Forecasting System (GFS) data with a spatial resolution of 0.25 x 0.25 and a temporal resolution of three hours were used as input for downscaling in the WRF-ARW model. This study used 9 configuration schemes of the WRF-ARW model parameterization as ensemble members. The results of the study indicate that the WRF model (a combination of the Purdue Lin, Yonsei University Scheme, and Betts-Miller-Janjic Scheme) provided the most accurate heavy rainfall prediction, with an RMSE value of 2.13. The probability maps of rainfall products can effectively identify peak heavy rainfall between 1:00 PM- 4:00 PM. This is indicated by the large area with a greater than 90% probability of rainfall exceeding 10 mm. The ensemble mean product of rainfall predictions tends to underestimate heavy rainfall in the Pagarsih area. The ensemble mean product of surface air temperature can effectively identify the pattern of observational f luctuations with a low RMSE value (0.77), and the ensemble mean product of surface layer air humidity can identify the pattern of observational fluctuations with a relatively high RMSE value (13.28).
Viscosity Modeling and Prediction of Amorphophallus oncophyllus and Sapindus rarak Using Machine Learning Methods Fathaddin, Muhammad Taufiq; Mardiana, Dwi Atty; Sutiadi, Andrian; Maulida, Fajri
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.21953

Abstract

Viscosity plays an important role in regulating the mobility of fluids injected into the reservoir to increase the efficiency of oil sweeping. This study discusses the application of Machine Learning methods, namely ANN and ANFIS, to model the correlation of physical properties of Amorphophallus oncophyllus and Sapindus rarak solutions. The purpose of this study is to obtain a correlation to determine the viscosity of the polymer solutions. The data used include viscosity measurements for 21 samples of Amorphophallus oncophyllus and Sapindus rarak solutions with variations in concentration and salinity. The data is augmented by digitization for modeling. The results show that both Machine Learning methods can estimate viscosity values well. Very accurate results are achieved by applying ANN and ANFIS with average correlation coefficients of 0.997240 and 0.995124, respectively.
Blueshift of the optical bandgap in ZnO films by controlling the substrate temperature Nurfani, Eka; Chotimah, Cindy; Anrokhi, M.S.; Kadja, G.T.M.; Sipahutar, W.S.; Mustaqim, A.; Rianjanu, A.
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.20160

Abstract

This study investigates the growth of ZnO thin films using the spray pyrolysis method, focusing on the effect of substrate temperature on the optical bandgap. By varying the deposition temperature from 300 to 500 °C, we aim to understand how temperature influences the optical properties of ZnO films. The films were characterized using X-ray diffraction (XRD) and UV-visible spectroscopy (UV-Vis). At 300 °C, the absorption was lowest, and the optical bandgap increased from 3.20 eV at 300 °C to 3.70 eV at 500 °C. These findings are crucial for developing ZnO materials for optoelectronic applications using an efficient and cost-effective deposition method.
Effect of Temperature and CaCO3 Concentration on the CO2 Corrosion Behavior of Carbon Steel in Seawater Arifin, Zaenal; Cahyono, Yoyok; Purwaningsih, Sri Yani; Suasmoro, Suasmoro; Asrori, Zainul
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.21815

Abstract

In oil and gas production, CO2 corrosion and  CaCO3 scale happen simultaneously. Research has been carried out on the corrosion behavior of CO2 on carbon steel samples. Corrosion behavior was analyzed based on changes in temperature (60, 80 and 100 °C) and CaCO3 concentration (0, 700 and 1000 ppm) in seawater environments with CO2 gas at a flow rate of 1 lt/min. The corrosion rate calculation is carried out using the weight loss method. Increasing the concentration of CaCO3 in seawater causes a decrease in the corrosion rate and the greatest corrosion rate occurs at 80 °C. Characterization of corrosion products from deposited powder using XRD and SEM at various temperature changes produces crusts with aragonite, calcite and halite phases. Meanwhile, variations in CaCO3 concentration produce aragonite phases as well as siderite and chukanovite corrosion products with morphologies such as rice grains, rhombohedral, needle-like and plate-likeKeywords: CO2 corrosion, aragonite, siderite and chukanovite
Cavitation Effect towards Graphene Oxide Synthesis Using Liquid Phase Exfoliation Method Assisted by Linear Alkylbenzene Sulfonate Susanto, Duwi; Husna, Salsabila; Dwandaru, Wipsar Sunu Brams
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.20096

Abstract

In this study, graphene oxide was synthesized using the liquid phase exfoliation method. Graphene oxide synthesis was carried out by dispersing graphite powder in deionized water and adding linear alkylbenzene sulfonate surfactant, followed by exposure to ultrasonic waves at a frequency of 21 kHz. The graphite exfoliation process in this method took advantage of the cavitation phenomenon that occurred during the sonication process. The cavitation effect in this research was observed based on the characterization results of graphene oxide. The ultraviolet-visible spectroscopy results indicated that cavitation events influenced the emergence of the main absorption peak at a wavelength of 240 nm and a secondary peak at 287 nm. The X-ray diffraction results showed a phase transition from crystalline graphite to an amorphous phase, as indicated by the disappearance of sharp graphite peaks and the appearance of broad peaks at 2θ ≅ 18°. The Fourier transform infrared analysis showed that cavitation added oxygen groups to the graphene oxide produced, e.g.: -OH and C-OH, whose intensities increased after sonication. Scanning electron microscope analysis revealed sheet-like structures on the graphite surface. Based on the energy dispersive X-ray results, the C/O ratio of the graphene oxide sample was 68.99%. This aforementioned result supported the Fourier transform infrared results where an increase in the oxygen composition occurred after the sonication.
Turbine Slope Testing in Microhydro Plants as a Regional Electricity Source near River Flows that are not Reachable by PLN Bustomi, Muhammad Arief; Utami, Meli Riski; Indarto, Bachtera; Pramono, Yono Hadi; Prajitno, Gontjang; Rohedi, Ali Yunus; Purwanti, Endah
Jurnal Fisika dan Aplikasinya Vol 21, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i1.19239

Abstract

Electrical energy has become the main need of society. PLN manages the supply of electrical energy in Indonesia as the State Electricity Company. The problem is that not all areas of Indonesia are covered by the PLN electricity network. Various energy sources can be converted into electrical energy in remote areas not yet reached by the PLN network. One example of this energy source is micro hydro energy, energy from river flows that are not too strong. The equipment for converting micro hydro energy into electrical energy is called MHPP. This research is part of the application of MHPP based on Archimedes screw turbines as a source of electricity for areas near river flows that are not yet accessible to river flows. The focus of the research is to study the effect of the turbine elevation angle on the output electrical power of the MHPP. This research aims to determine the optimum values of rotation, torque, voltage, current and electrical power produced by an Archimedes screw turbine MHPP design with variations in turbine elevation angles of 20°, 25°, 30°, 35° and 40°. The MHPP design studied consists of 3 blades, a gearbox ratio of 2.8:1, a water flow rate of 6.34 liters/second, and a low rpm BLDC generator type. The optimum rotation is 1001.38 rpm at an elevation angle of 35° and the optimum torque is 1,738 Nm at an elevation angle of 40°. The optimum voltage is 14.84 V, the optimum current is 0.670 A, and the optimum electrical power is 7.861 W at an inclination angle of 40°.

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