Jurnal Ilmu Fisika (JIF)
Not a member yet
245 research outputs found
Sort by
VERIFIKASI DOSIMETRI ANISOTROPIC ANALYTICAL ALGORITHM (AAA) PADA TREATMENT PLANNING SYSTEM (TPS) ECLIPSE BERDASARKAN VARIASI MULTILEAF COLLIMATOR
No full textDosimetry verification of anisotropic analytical (AAA) algorithms based on variations of the multileaf collimator has been investigated using the Eclipse Treatment Planning System. This study used a 0.6cc ionization chamber farmer detector and Linac Clinical CX variant equipped with TPS Eclipse with AAA. This study used 6 MV energy and 2 Gy dose. The multileaf collimator was varied into six groups with the size (A, B, C, D, E, F) of the irradiation field used 20 cm x 20 cm. The measurement results were a dose deviation value or a dose ratio presentation in each irradiation area. The dose deviation of the multileaf collimator variation was A 0.86% for each group. Group B had 6.8%, Group C had -0.43%, Group D had 0.73%, Group E had 1.11%, and Group F had 0.84%. The mean dose deviation value for all multileaf collimator forms was 1.67%, where this value is within the tolerance value recommended by ICRU, namely 3-5%. The p-value in the Analysis of variance (ANOVA) for the entire group was 0.00. This data shows that there is no effect of variation in the multileaf collimator on the dose given.Telah dilakukan penelitian tentang verifikasi dosimetri algoritma AAA pada Treatment Planning Sistem eclipse berdasarkan variasi multileaf collimator. Penelitian dilakukan menggunakan energi 6 MV dengan dosis 2 Gy. Multileaf collimator divariasikan menjadi enam grup dengan ukuran luas lapangan penyinaran yang digunakan adalah 20 x 20 cm2. Hasil pengukuran dalam bentuk nilai deviasi dosis atau presentasi rasio dosis pada setiap area penyinaran. Deviasi dosis untuk masing-masing grup variasi multileaf collimator adalah A 0,86%. Grup B 6,8%, Grup C -0,43%, grup D 0,73%, grup E 1,11% dan grup F 0,84%.Nilai rata-rata deviasi dosis untuk seluruh bentuk multileaf collimator sebesar 1,67%, data menunjukkan bahwa deviasi dosis yang terjadi berada dalam nilai toleransi yang direkomendasikan ICRU yaitu 3-5%. P-value pada Analysis of variance (ANOVA) juga menunjukan tidak adanya pengaruh variasi pada multileaf kolimator terhadap dosis yang diberikan.Proses perhitungan dosis menggunakan algoritma AAA sudah cukup akurat, didasarkan oleh data deviasi dosis yang berada dibawah rentang toleransi
Mapping Risk Level Based on Peak Ground Acceleration (PGA) and Earthquake Intensity Using Multievent Earthquake Data in Malang Regency, East Java, Indonesia
Get PDFThis research aimed to identify the earthquake hazard, developing a peak ground acceleration (PGA) and earthquake intensity map to reduce earthquake disaster risk in Malang, East Java, Indonesia. This map is based on historical data of earthquake occurrence in 2011-2021 using the International Seismological Centre (ISC) earthquake catalog. Peak ground acceleration was analyzed using Donovan and McGuire equation, and the earthquake intensity was analyzed using the Wald equation. The result of this study represented peak ground acceleration value in Malang Regency, which was varied from 23.687 – 33.069 gal (Donovan attenuation equation) and 22.245 – 31.705 gal (McGuire attenuation equation). While based on earthquake depth, Malang Regency had a damage capacity of IV-V MMI on an intensity scale. This intensity was equivalent to the formation of cracks in the ground. Almost all residents also feel the vibrations. The most severe damage was due to the earthquake on April 10, 2021, at 14:00:16 WIB spoiled Dampit and Bantur district's public facilities. This study provides an overview of the riskiest area affected by the disasters that can be used for disaster mitigation in Malang regency
Estimation of Raindrop Size Distribution Parameters Using Lightning Data over West Sumatra
Get PDFIn situ observations of raindrop size distributions (DSDs) are still limited, especially in the tropics. Therefore, this study develops an alternative method to calculate DSD parameters by utilizing lightning data from the World-Wide Lightning Location Network (WWLLN) observation. DSD data was obtained from Parsivel's observations in the equatorial regions of Indonesia, i.e., Kototabang (100.32◦E, 0.20◦S, 865 m above mean sea level/ASL), Padang (100.46°E, 0.915°S, 200 m ASL), and Sicincin (100.30°E, 0.546°S, 134 m ASL). A gamma distribution parameterized the DSD. Three analysis domains were examined, with a grid of 0.1° x 0.1°, 0.5° x 0.5°, and 1° x 1°. We examined the possibility to calculate the near-instantaneous DSD parameter, so three short time intervals, namely, one, five and ten minutes, were used. The results showed that the number of lightning strokes does not adequately correlate with DSD parameters. This is observed in all time intervals and analysis domains. Thus, the use of lightning data to calculate DSD parameters is not possible for short time interval of DSD (near instantaneous DSD). However, lightning data can estimate the average DSD parameters for an average time of more than one hour, as recommended by previous studies
Synthesis and Characterization of HPMpFBP Using Raman Spectroscopy, Nuclear Magnetic Resonance (NMR) Spectroscopy, and FTIR
Get PDFSynthesis is one of the models for the formation of a new drug or compound with the aim of obtaining better activity at an economical price. HPMpFBP has been synthesized by mixing of 1-phenyl-3-methyl-5-pyrazolone and 4-fluorobenzoyl chloride. In the synthesis of HPMpFBP, a new compound namely 1-phenyl-3-methyl-4-(4-fluorobenzoyl)-5-pyrozolone has been obtained. The sample then characterized by non-invasive methods using Raman spectroscopy, Nuclear Magnetic Resonance (NMR) Spectroscopy and FTIR. Through this characterization process, wavelength information, chemical shift, and functional groups (chemical structure) of HPMpFBP samples were obtained. HPMpFBP has a chemical structure of C17H13N2O2F, the highest wavelength carried out by characterization using Raman is 1643.91 cm-1, the highest chemical shift characterized by using NMR (Nuclear Magnetic Resonance) is 7.8628 ppm, and the functional groups identified by using FTIR are (O-H, C-H, C=C, C=O, C-N). Information from the HPMpFBP sample characterization process using mentioned characterization methods was compared with previously reported results
Interpretation of Subsurface Structure Based on the Magnetic Data at Semurup Geothermal Area Kerinci
Get PDFThe interpretation of subsurface structures in Semurup geothermal area has been carried out using the geomagnetic method. Data were collected in an area of 1500 m × 1400 m consisting of 160 points. The magnetic anomaly value obtained was derived from the total magnetic induction value that has been corrected by IGRF and diurnal variation, then transformed by reduction to equator and upward continuation to remove noise and separate local and regional anomalies. The results of data processing showed the total magnetic field values in the study area ranged from -1730.4 nT to 1909.0 nT. Magnetic anomalies in this study area are dominated by negative values that may be caused by demagnetised rocks (a result of hydrothermal alteration). The results of 2D modeling, it has 5 rock layers that can be classified into 3 main parts of the geothermal system The first and second layers are caprock with a depth of up to 850 meters consisting of sedimentary rock, clay, and sandstone. The third layer is indicated as a reservoir with a depth from 850 to 1450 m and is dominated by sandstone and clay alteration Hot rock in the fourth and fifth layers is dominated by basalt igneous rock and the presence of dacitic lava intrusion from the northeast of the study area at depths below 1450 m, and the Siulak fault as a outflow zone for geothermal fluid. The presence of the caprock, reservoir, hot rock, and fault zones indicates that the Semurup area has geothermal potential and is suitable for further exploration
Environmentally Friendly Emergency Lighting System Using Bio Batteries from Pineapple Skin Waste as Energy Source
Get PDFThis study examines the use of bio batteries from pineapple skin paste as an energy source. Bio-battery is a battery with a paste derived from natural materials that are environmentally friendly. The bio-battery is capable of generating electrical power by using a pineapple peel electrolyte paste and copper (Cu) and zinc (Zn) electrodes arranged in series. Parameters measured are voltage, current and duration of the LED (Light Emitting Diode) light. The pasta variations used were pure pasta, pasta with the addition of sodium bicarbonate, pasta with the addition of salt and pasta fermented using LEDs with the total of 6 pieces arranged in parallel and the implementation using pasta with the addition of 0.75 gr salt and 4 LEDs. The research results reveal that the pure paste produces a maximum voltage of 2.410 volts, a maximum current of 0.12 mA with a 14-hour LED light; paste added with sodium bicarbonate produces a maximum voltage of 2,342 volts, a maximum current of 0.21 mA with LED lights on for 12 hours; paste added with salt produces a maximum voltage of 2.432 volts, a maximum current of 0.33 mA with an LED lamp on for 13 hours; and the fermented pasta produced a maximum voltage of 2.542 volts, a maximum current of 0.91 mA. The results showed that bio-battery with pineapple skin paste can produce electrical power that can be used as an energy source for emergency lights
Effect of Monosaccharides and Disaccharides Type on Ionic Conductivity of Liquid Electrolyte Based Lithium Iodide
Get PDFLiquid electrolyte was prepared by dissolving glucose, fructose, sucrose and lactose separately with different percentage of lithium iodide (10 – 35%) in aqueous solution of 1% acetic acid. Liquid electrolyte is characterized using conductivity meter to determine ionic conductivity. Computer simulations of Density Functional Theory (DFT) was used to identify the dominant functional groups on monomers such as glucose, sucrose, fructose and lactose when interact with the lithium salt by using B3LYP/6-31G ++ (d, p) basis set. The highest ionic conductivity for monosaccharide is glucose at 28.20 mS/cm while for disaccharide is lactose at 28.00 mS/cm with percentage of salt at 35 wt.%. Ionic conductivity increases when concentration of salt increase because there is an interaction between salt with functional groups of compounds. Based on computer simulations of DFT, interaction between lithium with compounds can be occurred due to negative electrostatic potential on the molecule. Electronegativity value of oxygen atom in glucose (-0.562e) and lactose (-0.567e) higher than fructose (-0.559e) and sucrose (-0.515e). Functional groups that are dominant to interact when interact with lithium salt are O-15 for glucose and O-17 for lactose due to the shorter bond length, the stronger energy attraction between functional groups with lithium
Long-Term Change in Characteristics of Cloud Vertical Structures Over Sumatra from Radiosonde Observations
Get PDFStudy on the vertical structure of cloud in Indonesia in terms of climate change is still very limited. We investigated the long-term change in characteristics of cloud vertical structures over Sumatra from three radiosonde observation stations in this work. The cloud base height (CBH), cloud top height (CT), and the number of cloud layers were retrieved using relative humidity (RH) profiles from radiosonde observation. The height of the cloud base is determined by taking the height of the layer with relative humidity (RH) value > 84% with at least a 3% jump in the RH from the ground level. Sumatra’s most frequently observed cloud layer is a one-layer cloud with an average occurrence rate of > 60%, which is slightly larger than the one-layer cloud globally. The percentage of appearance values at the Padang station, Pangkal Pinang, and Medan are 63.58%, 69.50% and 66.05%. The appearance of low-level clouds also dominates in Sumatra compared to other cloud types. CT and CBH increase with the number of years including all seasons. This is in line with the increase in temperature in Indonesia reported by previous researchers. On the other hand, the clouds’ thickness, especially for the cloud with one layer, varies from one location to another. The thickness of clouds decreases at Padang station and does not change at Pangkal Pinang and Medan stations
Application of Complementary Split Ring Resonator for Hyperthermia
Get PDFOne of the most promising research for cancer therapy with less side effects is hyperthermia treatment using metamaterial. This treatment may stand independently or adjunct to other cancer treatments such as chemotherapy, radiotherapy, and others. Metamaterial may control the heating process needed and also the depth of metamaterial itself from the skin surface. In this simulation, complementary split-ring resonator (cSRR) metamaterial with gaps from 0.5 to 3.5 mm can be used for the hyperthermia treatment. In the simulation of the cSRR metamaterial as hyperthermia therapy for cancer cells, the heat generated from each cSRR model was not significantly different. All cSRR models can reach hyperthermal temperatures under 5 minutes. The highest temperature achievement after 60 minutes can be seen in the use of single gap cSRR (58.9 ℃), dual gaps cSRR (58.1 oC), triple gaps cSRR (57.5 ℃), and quad gaps cSRR (57.2 ℃). The cSRR metamaterial structure can be used for hyperthermia therapy by adjusting the treatment duration treatment on cancer cells
Determination of Climate Factors in Flood and Drought Disaster in Indonesia using Instrumental Variable (IV) Methods
Get PDFLocated in the Southeast Asia region, Indonesia has rainy and dry seasons. In the rainy and dry seasons that occur in Indonesia, often causes many problems in various business sectors and community activities, including floods and droughts. It is known that the disaster will have an impact on material and non-material losses. This study uses climate data and disaster data at the village level to determine the effect of rainfall on disasters. This study uses the instrumental variable method because the model has endogeneity problems. The study results concluded that increased rainfall had a positive impact on flood disasters with a coefficient of 0.003038. Simultaneously, rainfall also impacted drought with a coefficient of -0.000377. Variables in the regression model that are formed can explain 1.74 percent of the flood disaster and 0.59 percent of the drought disaster. These results indicate that most of the other variables can influence flooding and drought. Through this research, it is known that rainfall for floods and droughts is quite significant. Therefore, government and community efforts are needed to anticipate similar disasters