cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Kusairi
Contact Email
kusairi@uin-malang.ac.id
Phone
-
Journal Mail Official
neutrino@uin-malang.ac.id
Editorial Address
-
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal Neutrino : jurnal fisika dan aplikasinya
Published by Universitas Islam Negeri Maulana Malik Ibrahim Malang
ISSN : 19796374     EISSN : 24605999     DOI : -
Core Subject : Science,
Physics
Jurnal NEUTRINO (ISSN:1979-6374 / EISSN:2460-5999) adalah jurnal fisika yang dikelola dan diterbitkan oleh Jurusan Fisika Fakultas Sains Dan Teknologi Universitas Islam Negeri (UIN) Maulana Malik Ibrahim Malang. Jurnal NEUTRINO ini menjadi media bagi para akademisi dan praktisi untuk mengembangkan bidang fisika dan aplikasinya. Disamping itu Jurnal NEUTRINO bisa dijadikan sebagai media komunikasi ilmiah antar fisikawan baik di Indonesia juga seluruh dunia. Jurnal NEUTRINO memuat kajian-kajian fisika baik kajian teoritik, hasil eksperimen dan aplikasinya seperti fisika material, instrumentasi, komputasi, biofisika, fisika medis, fisika lingkungan, fisika teori, fisika nuklir, geofisika, elektronika, optika dan energi terbarukan. Jurnal NEUTRINO terbit 2 (dua) kali dalam setahun (April dan Oktober).
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 17, No 1 (2024): October" : 6 Documents clear
DEVELOPMENT OF RS-WZ3 SENSOR IN IOT BASED VIBRATION MONITORING SYSTEM Indrasari, Widyaningrum; Hermanta, Catur Anthony; Firmansyah, Heri
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.28442

Abstract

This article develops a vibration monitoring system on the machine using the RS-WZ3 sensor, which is based on MEMS (Micro-Electro-Mechanical Systems) technology. The RS-WZ3 sensor can measure vibrations on three axes (X, Y, and Z), as well as the surface temperature of the motor. The MAX485 module and the ESP32 microcontroller transform the vibration data from the sensor into a digital signal, subsequently displaying it on a web interface accessible remotely in real time. Sensor calibration is carried out by comparing the measurement results of the RS-WZ3 sensor with those of the GM63A vibration meter, which shows good accuracy with an average error of 2.01%. Testing of this system shows that the RS-WZ3 sensor is effective in measuring and monitoring machine vibrations in real time, enabling more efficient predictive maintenance and reducing maintenance costs.
THE EFFECT OF SPUTTERING TEMPERATURE OF TiO2/ITO-PEN PHOTOANODES IN DYE SENSITIZED SOLAR CELL Ma'arifah, Alfiatul; Sholeha, Nabella; Nurhamidah, Millah; Diningsih, Ridha; Pujiarti, Herlin
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.29404

Abstract

Currently, the world is facing a major crisis related to the lack of sustainable, safe, and environmentally friendly energy resources. Dye sensitized solar cells (DSSC), another name for third-generation solar cells, have gained a lot of interest due to ease of production, cheapness, and environmental friendliness. The photoanode is among DSSC's most crucial components. In this research, the active layer on the TiO2 photoanode was optimized to improve the efficiency of the DSSC. The active layer was deposited using Radio Frequency (RF) magnetron sputtering on an Indium tin oxide-polyethylene naphthalate (ITO-PEN) substrate. The sputtering temperature was varied to 25, 80, 120, and 160℃ for one hour. The thin film TiO2/ITO-PEN photoanode will be characterized by means of X-ray Diffraction (XRD), Ultraviolet-Visible (UV-Vis) spectroscopy, and solar simulator. The XRD analysis shows that the best crystal size is 14.55 nm for a sputtering temperature of 80℃. According to the UV-Vis data, optical absorption increases with increasing sputtering temperature. The wavelength range where the absorption peak occurs is 252–465 nm, and the smallest value of the energy gap is found at a sputtering temperature of 25℃ with a value of 3.02 eV. For the TiO2/ITO-PEN thin layer, the maximum efficiency was achieved at 0.12% at a sputtering temperature of 25°C.
MODIFICATION OF THE ATTENUATION EQUATION FOR PEAK GROUND ACCELERATION (PGA) IN THE NORTH SUMATERA REGION Rahma, Sauma Natia; Lubis, Lailatul Husna; Sirait, Ratni; Pratama, Rian; Wijaya, Angga
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.28884

Abstract

Prediction of the empirical formula for ground acceleration is an important thing to analyze for seismic estimation in an area. This needs to be done to reduce the negative impact of earthquakes as a more appropriate mitigation effort in planning and designing earthquake-resistant buildings. Therefore, the empirical formulation from Zhaou, et al is used, which is well adapted to the seismotectonic conditions of the North Sumatra region, which has high seismic vulnerability, considering that this region is located in an active subduction zone. This advantage allows the model to more accurately predict the maximum ground acceleration (PGA) produced by earthquakes in the region. The purpose of this research is to obtain an empirical formulation of the maximum ground acceleration value based on seismic parameters such as distance, depth, and magnitude. It will also show the relationship between these parameters and the value of maximum ground acceleration or peak ground acceleration (PGA) in the North Sumatra region. This study modifies the empirical formulation of Zhao, et al data sourced from the Meteorology Climatology and Geophysics Agency (BMKG) of North Sumatra in 2017-2023 with a magnitude of 3 - 6 Mw. This research uses non-linear regression with the least squares method. The results of the analysis of the empirical formula produce the constant value sought a = 1.4703 b = -0.0025, c = 20.7441, d = 0.0196, e = 0.0015, S_SS = -2.0843, and S_SL = -0.0529. An empirical formula was obtained for the North Sumatra region based on the research results. This equation can be used on a scale of 3.0 - 6.0 Mw and a distance to the earthquake source between 0 - 300 km. The relationship between each parameter of this empirical formula is that the PGA value will increase with the magnitude, and the PGA value will decrease as the epicentre distance increases.
ANALYZING EEG SIGNALS FOR STRESS DETECTION USING RANDOM FOREST ALGORITHM Sifaunnufus Ms, Fi Imanur; Bachtiar, Fitra Abdurrachman; Prasetio, Barlian Henryranu
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.28471

Abstract

Detection of stress using EEG signals has gained much interest because of monitoring and early intervention. As for the contribution of this research, a reliable method for stress identification has been suggested, using a random forest model to categorize stress levels from EEG signals. Data were filtered using a bandpass filter, Independent Component Analysis, and more so using the Z-score to remove outliers and poor signals. Data that has been cleaned from noise and outliers will go through a feature extraction process using Power Spectral Density (PSD). The result of PSD is the power of each frequency of the EEG signal. The number of features used is 20. Random Forest was chosen due to its high accuracy and robustness in handling complex, high-dimensional data, which is common in EEG analysis. Thus, the model obtained an accuracy level of 0.8571, thereby approving the tool’s efficiency in distinguishing between different degrees of stress. The computational efficiency of the model, with a classification time of 0.2762 seconds, demonstrates its feasibility for practical applications. Based on these findings, it can be concluded that the Random Forest algorithm can be used to integrate wearable technology and for offering suggestions and timely interventions for better mental health.
ANALYSIS OF SUBSURFACE STRUCTURE OF IRON SAND POTENTIAL WITH 3D MODELLING RESISTIVITY GEOELECTRIC METHOD IN PANDANWANGI VILLAGE KUNIR LUMAJANG Ubaidillah, Mahrul Junaid; Anggraeni, Firdha Kusuma Ayu; Prihandono, Trapsilo Prihandono
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.27759

Abstract

This research was conducted to analyze the sub-surface structure of the potential iron sand area and the distribution of iron sand depth in terms of its specific resistivity in Pandanwangi Village, Kunir District, Lumajang Regency. This research uses the Wenner configuration resistivity geoelectric method to identify subsurface structures. Measurements were made using 4 lines that have a length of 200 meters per line and then processed using Res2Dinv software to see the results of the 2D cross-section and using Voxler software to see the results of the 3D cross-section. Based on the results of the study, there are several types of rocks and constituent minerals that are below the ground surface, including iron sand, sand, sandstone, and basalt which are found at certain depths. Line 1 tends to contain sand, and line 2 is often passed by residents' vehicles so that it has a different density than other lines because, on line 3, activities are often carried out by local residents. Line 3 has the least iron sand potential compared to other lines, and line 4 has the greatest iron sand potential than other lines. The potential of iron sand is assessed based on its lower resistivity value compared to other rocks and minerals, which is around 0.13-37.11 Ωm.
ANALYSIS OF FAULT PATTERNS THAT CAUSE DESTRUCTIVE EARTHQUAKES IN MAINLAND WEST JAVA Basid, Abdul; Maharani, Fadia Ainina Putri; Rusli, Rusli
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.29408

Abstract

West Java is one of the provinces in Indonesia with a high level of seismicity. During August 2024 alone, there have been 134 earthquakes with 23 earthquakes centered on land. The high seismicity on land is caused by the many faults on the mainland of West Java. This paper presents the results of research on fault patterns in mainland West Java from earthquake data from 1953 - 2023. The data of this research was obtained from the USGS, BMKG, GFZ, IRIS and Global CMT websites. The selected data is an earthquake with a magnitude of ≥ 5 SR and a depth of ≤ 40 km with an area boundary of 5°85 ́- 8°13 ́S and 106°74 ́- 108°76 ́ E. Using the Focal Mechanism Method, it can be found that the fault pattern that causes earthquakes in West Java in 1953-2023 is 5 reverse fault, 2 Normal fault, and 1 Strike-slip Fault. The results of this research are expected to be used as material for the preparation of earthquake disaster mitigation in West Java.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 18, No 1 (2025): October Vol 17, No 2 (2025): APRIL Vol 17, No 1 (2024): October Vol 16, No 2 (2024): APRIL Vol 16, No 1 (2023): October Vol 15, No 2 (2023): APRIL Vol 15, No 1 (2022): October Vol 14, No 2 (2022): APRIL Vol 14, No 1 (2021): October Vol 13, No 2 (2021): APRIL Vol 13, No 1 (2020): October Vol 12, No 2 (2020): April Vol 12, No 1 (2019): October Vol 11, No 2 (2019): April Vol 11, No 1 (2018): October Vol 11, No 1 (2018): OCTOBER Vol 10, No 2 (2018): April Vol 10, No 1 (2017): October Vol 9, No 2 (2017): April Vol 9, No 1 (2016): October Vol 8, No 2. APRIL (2016): JURNAL NEUTRINO Vol 8, No 1. Oktober (2015): JURNAL NEUTRINO Jurnal Neutrino (Vol.7 No. 2 JURNAL NEUTRINO (Vol 7, No 1 JURNAL NEUTRINO (Vol 6, No 2 JURNAL NEUTRINO (Vol 6, No 1 JURNAL NEUTRINO (Vol 5, No 2 JURNAL NEUTRINO (Vol 4, No 2 JURNAL NEUTRINO (Vol 4 No 1 JURNAL NEUTRINO (Vol 3 No 2 JURNAL NEUTRINO (Vol 3 No 1 JURNAL NEUTRINO (Vol 2 No 2 JURNAL NEUTRINO (Vol 2 No 1 JURNAL NEUTRINO (Vol 1 No 2 JURNAL NEUTRINO (Vol 1 No 1 More Issue