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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 224 Documents
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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.
DETECTION OF THE TEA LEAVES WILTING LEVEL WITH DLSI (DYNAMIC SPECKLE LASER IMAGING) NUMERICAL ANALYSIS Sasmitaninghidayah, Wiwis; Rahmawati, Dian; Mardhiyah, Ainatul
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 2 (2025): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i2.29065

Abstract

This study aimed to find a correlation between the degree of tealight and the speckle image of the tea leaf by using numerical analysis and graphical analysis. Numerical analysis was done using THSP (Time History Of Speckle Patterns), COM (Co-occurrence Matrix), IM (Inertia Moment), and AVD (Average Value of Difference) values. The numbers used in the study showed that THSP and correlation measurements showed changes in the biological activity of tea leaves at all wilting levels. Meanwhile, the IM and AVD values showed significant changes after the tea leaves withered by 57.56%. COM analysis did not show any changes from high to low levels. THSP and correlation measurement showed changes in biological activity in tea leaves. Biological activity was high at high water content, and biological activity decreased as the water content in tea leaves decreased.
ADSORPTION-PHOTOCATALYSIS SYNERGY OF BI4TI2.9FE0.1O12 FOR CIPROFLOXACIN REMOVAL Hikmah, Nurul; Prasetyo, Anton
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 2 (2025): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i2.31329

Abstract

The triple-layer Aurivillius compound Bi4Ti2.9Fe0.1O12 has been reported to exhibit both adsorption and photocatalytic properties and, therefore, can be used to remove organic waste such as antibiotic residues. In this study, the Bi4Ti2.9Fe0.1O12 compound was synthesized using the molten salt method. The diffractogram showed Bi4Ti2.9Fe0.1O12 compound was successfully synthesized with no impurity phases detected. Scanning electron microscopy (SEM) images revealed that the compound has a plate-like/sheet-agglomerated particle morphology, with sizes ranging from 2 to 6 μm. Band gap energy calculations showed that the Bi4Ti2.9Fe0.1O12 compound has a band gap of 2.74 eV (453 nm). Adsorption tests demonstrated that the compound could adsorb 54.47± 0.56% of ciprofloxacin. Adsorption-degradation tests over 30, 60, 90, and 120 minutes reduced ciprofloxacin c oncentration by 59.84±0.54, 64.05±0.056, 70.04±0.091, and 62.55±0.052%, respectively. It indicates that the adsorption mechanism is more dominant than the photocatalytic mechanism. This may be due to the large number of ciprofloxacin molecules adhering to the BIT surface, making it difficult for light to penetrate, thereby preventing the photocatalytic mechanism from operating at its maximum efficiency.
THE EFFECT OF RED AND YELLOW CARBON QUANTUM DOTS (CQDS) IN TIO2 PHOTOANODES FOR DSSC APPLICATION Al-Afandy, Farhan Nur; Diantoro, Markus; Pujiarti, Herlin
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 2 (2025): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i2.31088

Abstract

The exploration of Dye-Sensitized Solar Cells (DSSC), especially regarding the photoanode, is steadily advancing. widely recognized, the photoanode plays a key role in absorbing light and facilitating electron generation, which is essential for the efficiency of Dye-Sensitized Solar Cells (DSSC). TiO2 is frequently used as photoanode due to its excellent stability and ability to effectively support dye molecules. However, in terms of enhancing light absorption and the electron transfer rate, doping with Carbon Quantum Dots (CQDs) in TiO2-based photoanodes has gained attention as a promising approach to improve efficiency. In this research, Carbon Quantum Dots (CQDs) were added to TiO2 to enhance its properties. Red CQDs and Yellow CQDs were incorporated into TiO2 at a concentration of 5%. The resulting composite materials were characterized using XRD, UV-Vis, and I-V measurements with a solar simulator. The XRD pattern confirmed the crystalline structure of TiO2 with incorporated CQDs. The optical properties of the CQD-TiO2 composites were analyzed through UV-Vis spectroscopy, revealing changes in light absorption. The DSSC performance parameters, including Jsc, Voc, FF, and η, were determined through I-V characterization using a solar simulator. The best DSSC performance was obtained by the sample with the addition of 5% Yellow CQDs, with an efficiency of 3.42%
3D SEISMIC INTERPRETATION TO DETERMINE HYDROCARBONS IN THE 25-X-14 AND 64-JX-15 WELLS OF THE TEAPOT DOME BASIN USING ENVELOPE ATTRIBUTES AND RMS ATTRIBUTES Lestari, Putri Yunia; Adhi, M. Aryono; Hardyanto, Wahyu
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 2 (2025): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i2.29927

Abstract

The Teapot Dome Basin in Wyoming is known to have significant hydrocarbon potential, but its distribution and characteristics need to be better understood. This study was conducted to analyze the presence of hydrocarbons in wells 25-1-X-14 and 64-JX-15 using 3D seismic interpretation. Envelope attributes and RMS attributes were used to identify prospective zones more accurately. The purpose of this study is to determine the results of 3D seismic data interpretation in determining the geological structure of hydrocarbons in well 25-1-X-14 and well 64-JX-15, and to determine the application of attribute envelope and rms in determining the geological structure of Teapot Dome. The method used in this research is a quantitative descriptive method, in which seismic data is numerically analyzed to describe the physical characteristics of the subsurface. The amplitude values used in this research are 10m, 20m, 30m, 40m, 50m, and 60m. Data processing is done in 3 stages, namely picking horizon, time structure map, surface attribute envelope, and RMS. The interpretation of the envelope attributes and RMS attributes shows high-amplitude bright spot zones that indicate hydrocarbons, especially in the sand section. The low amplitude areas in the shale section do not have hydrocarbon prospects. The analysis also confirmed a dominant anticline structure with an axis to the southwest of Teapot Dome.
CLASSICAL MOLECULAR DYNAMICS (MD) SIMULATION OF SALT AND SOLVENT SOLVATION EVENTS IN LITHIUM ION BATTERIES TO DETERMINE ENERGY FLUCTUATIONS Ngaderman, Hubertus; Sinaga, Ego Srivajawaty; Bungasalu, Benny Abraham
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 2 (2025): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i2.29233

Abstract

This study looks at how salt and solvent mix, as shown by the final positions of particles in a simulation. The simulation uses Lennard-Jones parameters and runs in a closed system with fixed energy. The goal is to see if the particles follow the Maxwell velocity distribution. When lithium hexafluorophosphate salt mixes with ethylene carbonate, solvation occurs. The simulation runs for 100 and 2000 steps to get accurate results. At the start, no chemical reactions or outside forces are involved just the natural movement of particles. For fluorine, after 2000 steps, the particles start to group in one area, showing the system isn’t balanced yet. Since velocity is linked to kinetic energy, it's important to look at the most common speeds of lithium, phosphorus (P), fluorine (F), and lithium-oxygen carbonyl (Li-OC). At 100 steps, the speed data looks good for lithium, phosphorus, and fluorine, except for how fluorine interacts with itself. So, the number of steps was increased to 2000. But even then, the particles don’t spread out fully, which isn’t realistic nature doesn’t leave space. That’s why the simulation should run up to 3000 steps for better, more realistic results.
ENVIRONMENTALLY FRIENDLY BRIQUETTES MADE FROM A MIXTURE OF SNAKE FRUIT SKIN AND GOAT MANURE Rotami, Ladya; Wardana, Rendy Wikrama; Setiawan, Iwan; Anjarsari, Putri; Firdaus, M. Lutfi
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 18, No 1 (2025): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v18i1.32592

Abstract

The purpose of this study is to make snake fruit briquette charcoal mixed with goat dung an alternative energy source that supports environmentally friendly technology. The samples used were snake fruit and goat dung as charcoal and tapioca flour as an adhesive. Each sample has 200 grams of charcoal and 30 grams of adhesive. The percentage of charcoal is 50% snake fruit bark charcoal and 50% goat dung charcoal. Snake fruit briquettes and goat dung are divided into 3 groups: A1 (87% charcoal: 13% adhesive), A2 (77% charcoal: 23% adhesive), and A3 (97% charcoal: 3% adhesive). In 3 samples tested with the percentage of charcoal flour to tapioca flour, the first one was produced in sample A1 (87%: 13%), which produced a moisture content of 9.87%, an ash content of 36.75%, and a calorific content of 5899 kcal/kg. The A2 sample (77%:23%) yielded a moisture content of 11.44%, an ash content of 32.13%, and a calorific content of 5634 kcal/kg. The A3 sample yielded a moisture content of 8.93%, an ash content of 41.38%, and a calorific content of 6339 kcal/kg.  This study concludes that the best calorific value in the A3 sample is 97% charcoal briquettes with 3% adhesive, with a calorific value of 6339 cal/kg.

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