Title Sunan Kalijaga Journal of Physics Abbreviation S. K. J. Phys. Initials SKJP Scope See Scope Business Model Open Access & Author Fee Frequency 2 issues per year Type of Review Single Blind Review DOI Online ISSN 2715-0402 Print ISSN Editors Editors License CC-BY-SA Publisher Universitas Islam Negeri Sunan Kalijaga Yogyakarta Organized Universitas Islam Negeri Sunan Kalijaga Yogyakarta Citation Analysis Scopus | Dimensions | Google Scholar | Web of Science | Sinta Metrics Authors Diversity | Visitors Statistics Social Media Youtube Channel | Twitter | Instagram Sponsorships See Sponsor Sunan Kalijaga Journal of Physics (SKJP) is peer-reviewed journal published twice a year by the Department of Physics, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta-Indonesia. SKJP publishes original research articles on all the major, also the branches of physics disciplines and related interdisciplinary areas, be it fundamental or applied. The journal will cover theoretical, computational as well as experimental research. The scope of the journal covers the following topics: • Acoustics • Atomic and molecular physics • Biological physics and nanoscience • Chemical physics • Condensed matter physics • Fluids and plasmas • Geophysics • Instruments and instrumentation • Lasers, optics and photonics • Materials physics • Mathematical physics • Medical Physics • Nanoscience & nanotechnology • Nonlinear science • Nuclear Physics and Cosmology • Particle and high energy physics • Physics of complex systems • Quantum information • Quantum physics • Statistical physics.
Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta
Modeling Of Tsunami Flood Maps Along The Malang Coast Using Commit 1.8.1 And Quantum Gis 2.18.28 “Las Palmas” Software
The long coastline of Malang, located in the south of Java Island, is close to the Indian Ocean, which has a subduction zone. This makes Malang Regency a potential tsunami-prone area. Therefore, a tsunami inundation map is needed as a reference for creating a tsunami evacuation map. Tsunami inundation modeling is used to estimate the worst-case tsunami impact. The modeling was conducted using ComMIT (Community Model Interface for Tsunami) 1.8.1 based on an Mw 8.7 earthquake scenario taken from the 2017 Indonesian Earthquake Source and Hazard Center distribution of megathrusts and active faults in the South Java Sea, specifically in the East Java Megathrust zone. The inundation map was created using Quantum GIS 2.18. 28 Las Palmas The tsunami inundation modeling results showed that the inundation distance varied between 0.9 and 1.9 km inland, the tsunami height on the coast varied between 8.41 and 19.63 meters with a maximum run-up of 10 meters, and the tsunami arrival time on the coast was around 30 minutes after the earthquake occurred.
Copyright (c) 2025 Rofikoh Annur https://creativecommons.org/licenses/by-sa/4.0
Analysis of Rock Magnetic Susceptibility in a Local Fault Zone at Sangkrek, Kulon Progo Regency
This study aims to analyze the pattern of magnetic anomaly distribution and determine the rock magnetic susceptibility values as a basis for identifying a local fault zone in the Dusun Sangkrek area, Kokap District, Kulon Progo Regency. The geomagnetic method was employed, with data acquisition conducted at 60 observation points using a Proton Precession Magnetometer (PPM) G-856 at 100-meter intervals. The total magnetic field data were corrected for daily variations and the International Geomagnetic Reference Field (IGRF) to obtain the total magnetic anomaly (ΔT). The magnetic anomaly values range from –3,1 × 10² nT to 6,8 × 10² nT, where high anomalies are dominant in the northern part, composed mainly of andesitic rocks, while low anomalies are found in the western and southern parts, corresponding to the Sentolo and Alluvium Formations. Data processing stages include reduction to the pole (RTP), upward continuation, and two-dimensional (2D) modeling to characterize subsurface magnetic variations. The modeling results indicate that the magnetic susceptibility of rocks varies between 1,0 × 10⁻⁴ and 1,1 × 10⁻¹ SI, with higher values associated with andesite and brecciated andesite, and lower values corresponding to siltstone, claystone, and sandstone. The contrasting distribution of susceptibility along several profiles reveals sharp lithological changes, interpreted as indications of a local fault zone that influences the subsurface magnetic distribution.
Copyright (c) 2025 Nadzif Muaffi https://creativecommons.org/licenses/by-sa/4.0
Physiographic Study of Java Island Based on EMAG2 v3 Data
This study aims to analyze the physiography of Java Island based on the Earth Magnetic Anomaly Grid version 3 (EMAG2 v3) satellite data. The EMAG2 v3 dataset represents a global magnetic anomaly compilation acquired from satellite measurements provided by the National Oceanic and Atmospheric Administration (NOAA). The magnetic method, a geophysical technique that utilizes variations in the Earth’s magnetic field anomalies, was employed to delineate subsurface geological structures. The datasets used include administrative maps, regional geological maps, physiographic maps, and magnetic anomaly maps derived from EMAG2 v3 processing. Data processing was performed using the Geosoft Oasis Montaj software to generate the magnetic anomaly map of Java Island. The results indicate that the magnetic anomaly values across Java Island range from −300 nT to 450 nT, showing spatial variations among different physiographic zones. The northern part of Java exhibits low to moderate magnetic anomalies that correlate with alluvial deposits and young sedimentary formations, while the southern part displays moderate to high anomalies, reflecting the presence of volcanic rocks and intrusive bodies. This analysis demonstrates a strong correlation between magnetic anomaly variations and the lithological as well as structural characteristics of each physiographic zone. Therefore, EMAG2 v3 data can be effectively utilized to comprehensively interpret the regional geological framework of Java Island.
NOAA (National Oceanic and Atmospheric Administration)
Copyright (c) 2025 Thava Yuniantari https://creativecommons.org/licenses/by-sa/4.0
Subsurface Structure Analysis for Determining the Slip Surface of Landslides Using the Wenner Resistivity Geoelectrical Method in Kokap, Kulon Progo
Slope failures frequently occur in hilly regions, particularly during periods of intense rainfall. At the end of 2022, such an event affected a residential area in Hargomulyo Village, Kulon Progo. Mitigation efforts against similar hazards can be implemented through mapping of landslide-prone zones, one of which involves identifying the rock layers that act as the slip surface. This study employs the geoelectrical resistivity method with a Wenner configuration to characterize the subsurface structure based on variations in electrical resistivity of soil and rock. Data acquisition was conducted along four survey lines located within an andesitic intrusion formation composed of hypersthene–andesite to trachyandesite rocks. The modeling results indicate three main layers: surface soil with resistivity values below 54.4 Ωm, clay mixed with weathered andesite ranging from 54.4 Ωm to 141 Ωm, and intact andesite bedrock exceeding 141 Ωm. Correlation with the Geological Map of Yogyakarta Sheet (Rahardjo et al., 1995) confirms that the potential slip surface corresponds to the weathered andesite–clay zone developed along the contact between the Andesite Intrusion and the Kebobutak Formation. This transition layer, acting as a mechanically weak zone, controls slope stability in the study area. The presence of a local north–south fault may further increase groundwater infiltration and pore pressure above the impermeable andesite layer, promoting slope movement during heavy rainfall. These results emphasize that integrating resistivity interpretation with geological mapping provides a more comprehensive understanding of landslide mechanisms and supports hazard mitigation efforts in andesitic terrains of Kulon Progo.
Copyright (c) 2025 Rezal Prihatin https://creativecommons.org/licenses/by-sa/4.0
Design and Implementation of a Weather Monitoring System Base on IoT Blynk Display and Solar Panel
In order to support precision agriculture, this project intends to design, develop, and test a weather monitoring system based on the ESP32 microcontroller coupled with solar panel and an Internet of Things (IoT) -based display via Blynk. Blender was used to model the system, while Fritzing was used to produce the circuit diagrams. It uses the appropriate sensors to measure temperature, humidity, rainfall, and wind speed. Performance testing revealed repeatability precision values of 98,97%, 89,22%, 95,27%, and 9,19%, respectively, and accuracy levels of 99,76% (temperature), 99,48% (humidity), 98,41% (rainfall), and 89,83% (wind speed). The findings show limitations in the accuracy of wind speed measurement but show good performance for the majority of metrics. Weather-based agricultural decision-making can be improved by this method, especially in isolated locations without adequate monitoring infrastructure.
Copyright (c) 2024 Widayanti, Ashadi Fajarrohman https://creativecommons.org/licenses/by-sa/4.0
Modeling of Tsunami Inundation Maps Along the Pacitan Coast using ComMIT 1.8.1 and Quantum GIS 2.18.28 "Las Palmas" Software
Indonesia is a maritime country located on the equator with 3 main plates, namely the Eurasian plate, the Indo-Australian plate, and the Pacific plate which is known as the Ring of Fire (Pacific ring of fire). If these plates interact along the troughs and fractures of the earth's crust which are the source of earthquakes at sea, it will trigger a tsunami. Geographically, Pacitan Regency is located between 110 55 - 111 25 East Longitude and 7 55 - 8 17 South Latitude bordering the Indian Ocean to the south and is located on the Java Megathrust which causes Pacitan to have the potential for earthquakes that cause tsunamis. That is why it needs to be studied in relation to wave height, tsunami arrival time and tsunami inundation map as measures of tsunami hazard warnings along the coast of Pacitan. The results show that the height of the tsunami waves along Pacitan Beach with the Mw 8.7 earthquake ranged from 6 meters to 13 meters with the fastest arrival time of 23 minutes. The tsunami inundation that occurs along Pacitan Beach ranges from 0.4 km to 0.7 km from the shoreline.
Copyright (c) 2025 Asa Latifah https://creativecommons.org/licenses/by-sa/4.0
Preparation of Activated Carbon from Coffee Grounds as a Supercapacitor Electrode
The growing demand for sustainable energy storage solutions has spurred interest in supercapacitors, with biomass-derived activated carbon emerging as a promising electrode material. This study investigates the fabrication and performance of activated carbon from spent coffee grounds for application in supercapacitors. Carbonization was carried out at 300°C, 500°C, and 700°C, followed by chemical activation using HCl, KOH, and ZnCl₂. The resulting activated carbons were characterized to determine their physicochemical properties. Optimal activated carbon was obtained at 700°C with KOH activation, yielding 84.75% fixed carbon and conforming to SNI 06-3730-1995 standards. Supercapacitor performance testing revealed that the best results were achieved using electrodes prepared from carbon obtained at 300°C and activated with ZnCl₂, yielding a voltage of 352.9 mV and a capacitance of 465.58 μF after a 1-minute charge. These findings suggest that spent coffee grounds are a viable source of electrode material for efficient, low-voltage supercapacitors.
Copyright (c) 2025 Pratama Putra https://creativecommons.org/licenses/by-sa/4.0
Study of Earthquake Damage Potential Based on b-Value Variation in The Special Region of Yogyakarta
Indonesia is a region prone to various natural disasters, including earthquakes. It is located at the convergence of three major tectonic plates: the Eurasian Plate, the Indo-Australian Plate, and the Pacific Plate. The collision of these three plates causes earthquakes. The Special Region of Yogyakarta is one of the areas that has been impacted multiple times by damaging earthquakes due to its proximity to the meeting point of the Eurasian and Indo-Australian Plates. This study was conducted to examine earthquake statistics in the Special Region of Yogyakarta based on analyses of a-value and b-value in this area, thereby identifying potential earthquake recurrence. Secondary data from the IRIS (Incorporated Research Institutions for Seismology) earthquake catalog from 2006 to 2020 were used for this seismic analysis. The data processing results showed that a-values ranged between 3.5 and 7, with an average value across the entire region of 5.17; meanwhile, b-values ranged between 0.7 and 1.2, with an average value across all areas being 0.775. The area requiring caution is the southern sea region of Special Region Yogyakarta, which has potential for earthquakes with magnitudes up to 6 occurring within intervals of every 5–10 years.
Copyright (c) 2025 Wiyono Wiyono https://creativecommons.org/licenses/by-sa/4.0
Microtremor Microzonation Based on Seismic Vulnerability Index (Kg) Using HVSR (Horizontal To Vertical Spectral Ratio) Method in Kapanewon Berbah, Sleman, D.I.Yogyakarta
The 2006 Bantul Earthquake centered on the Opak River Fault has caused many casualties and damage to buildings, including in Kapanewon Berbah, Sleman. Kapanewon Berbah is the most affected area in Sleman Regency, because it is located in the red zone near the Opak Fault line. This study uses the HVSR (Horizontal to Vertical Spectral Ratio) method which aims to determine the soil conditions in Kapanewon Berbah based on the dominant frequency and dominant period microzonation, as well as to determine the level of damage based on the dominant amplification value and the seismic vulnerability index. The microtremor data measured at 17 points are processed in geopsy software so that the dominant frequency and amplification values are obtained. Furthermore, the calculation is carried out on Microsoft Excel in order to obtain the value of the dominant period and the seismic vulnerability index. The dominant period is inversely proportional to the dominant frequency value, while the seismic vulnerability index value is obtained from squaring the amplification divided by the dominant frequency. These parameters are processed in surfer12 software in order to obtain a microzonation map based on each parameter. Based on the Kapanewon Berbah microzonation map, a low dominant frequency value is obtained in the range 0.65 - 2.02 hz which shows soft soil conditions in the form of thick sediment; high dominant period values in the range 0.88-1.46 s which indicates very soft soil conditions; high amplification values at the range 4.9-6.1 includes a high level of damage; and the high seismic vulnerability index value is in the range 18.9 to 41.5. The most stable location is at the TA4 measurement point in Tegaltirto Village and the most prone location to experience damage is at the TA2 measurement point in Kalitirto Village.
Copyright (c) 2025 Tri Maryani https://creativecommons.org/licenses/by-sa/4.0
Development of an Automated Temperature Control System for Optimized Chocolate Tempering
This study presents the design and development of a temperature control system for the chocolate tempering process using an RTD PT1000 sensor and an Arduino Uno microcontroller. Sensor characterization yielded a linear transfer function V = −0.0037T+3.4085V, with a strong correlation (r = −1.054), sensitivity of −0.0037 V/°C, and repeatability of 99.4%. The control system was programmed to maintain temperature within an optimal range by switching the heating element off above 53 °C and on below 40 °C. System testing across 10 cycles demonstrated a success rate of 97.7%, confirming the effectiveness and reliability of the system. The results suggest that the proposed solution can improve temperature stability and efficiency in small-scale chocolate processing applications.
Copyright (c) 2025 Dita Astryani https://creativecommons.org/licenses/by-sa/4.0
Seismic Disaster Study Based on Soil Vulnerability Index (Kg) and Peak Ground Acceleration (PGA) Values in Kokap and Surrounding Areas
Kulon Progo region is one of the areas in Yogyakarta that often experiences natural disasters, especially landslides. With the morphology of mountains that are described as large domes with flat tops and steep wings (Van Bamelen, 1949), making the Kulon Progo area more prone to landslides. Earthquakes with great force can cause landslides in this area. To map areas that are prone to earthquakes and landslides, research using the microseismic method was used. The research is located in Hargorejo Village and Hargowilis Village, Kokap District and Karangsari Village, Pengasih District, DI. Yogyakarta consists of 9 measurement points. Data processing was performed using Geopsy software using the HVSR method. The results showed that the Kokap area and its surroundings had an amplification factor value range of 1-5 times, the natural frequency value was 1.2 Hz to 12.2 Hz, the dominant period value was 0.5-0.8 s, the soil vulnerability index value was , 1 /cm to 2.7 /cm and a PGA value of 64 cm/ to 206.2 cm/ . Based on the research results, the area most vulnerable to the consequences of the earthquake is the village of Hargorejo. The village of Hargorejo which is composed of andesite intrusion has resulted in mineral alteration which produces clay minerals where clay minerals are impermeable so that they easily become sliding fields. When an earthquake occurs, this area will suffer significant damage.
Copyright (c) 2025 Dita Andini https://creativecommons.org/licenses/by-sa/4.0
Earthquake Hazard Analysis in Probolinggo Region as a Mitigation Effort Using Probabilistic Seismic Hazard Analysis Method
Probolinggo is one of the areas traversed by an active fault, namely the Probolinggo Fault. As an area that is prone to earthquake disasters, Probolinggo needs to have an earthquake hazard modeling as a mitigation effort to minimize the impact of an earthquake that occurs in the future. Earthquake hazard modeling is a multidisciplinary science that aims to predict earthquakes, and the ground shaking they produce. One method that can be used is Probabilistic Seismic Hazard Analysis (PSHA). This study aims to analyze the earthquake hazard in Probolinggo area using the PSHA method as an effort to mitigate earthquake prone areas. The data used is historical earthquake data from the Agency for Meteorology, Climatology, and Geophysics (BMKG) for the 1973-2020 period with a magnitude of Mw ≥ 5, a depth of 0-300 km, and a radius of 300 km from the study area. The earthquake source model used includes megathrust, faults, and background earthquake sources. Three sets of Ground Motion Prediction Equation (GMPE) were used for each earthquake source. PSHA was performed for the condition of a 2% probability of being exceeded in 50 years. The average shear wave velocity to a depth of 30 m (Vs30) from the United States Geological Survey (USGS) were used to model the peak ground acceleration on the surface. The results showed that the peak ground acceleration (PGA) at bedrock ranged from 0.27 to 0.71 g. PGA at the surface (PGAM) ranges from 0.27 to 0.83 g. The distribution of the amplification value in Probolinggo area is 1.02 to 1.12. The earthquake hazard analysis obtained shows that the northern part of the Probolinggo area has a higher earthquake hazard than the southern part. The results of the study can be used as consideration in regional development based on earthquake risk reduction.
Copyright (c) 2025 Muhammad Taufiq Akbar Al Ghifari https://creativecommons.org/licenses/by-sa/4.0
Utilization of Air Humidity and Surface Air Temperature Data in Regression Equations for Rainfall Forecast Simulation in the Gamping Area, Sleman, Yogyakarta (Yogyakarta Class 1 Geophysical Station)
Rainfall prediction simulations for January 2010 using predictors of air humidity (RH) and air temperature (T) have been carried out at Yogyakarta Geophysics Station. Rainfall prediction in January 2010 using average weather parameter data and real time data in the Gamping Sleman Yogyakarta area has been carried out using two regression methods, namely simple linear regression equation method and multiple linear regression. The evaluation is done by comparing and calculating the amount of deviation from the prediction of total monthly rainfall to the observation of total monthly rainfall. The results of data processing carried out to predict rainfall in January 2010 show. In the study area, rainfall was very strong with RMSE = 0.68 mm using predictors of air temperature and humidity at the same time.
Copyright (c) 2025 Wawan Suwondo https://creativecommons.org/licenses/by-sa/4.0
CT Number Conformity Test on Multislice CT Scan at Yogyakarta PDHI Islamic Hospital
This research focuses on determining the CT number, which is the attenuation coefficient value of x-rays after passing through an organ. The level of energy attenuation depends on the initial energy of the x-rays and the atomic number of the object, which play a role in describing differences in the characteristics of organs or body tissues. This research aims to ensure the suitability of the CT number to obtain accurate information about CT scan images. Research procedures include observation, data collection, and data processing. The CT number data from the experimental results was then compared with the simulation results using IndoQCT software. The CT Number conformity test is carried out on a water phantom by adjusting the tube voltage, input current, and slice thickness. The Region of Interest (ROI) is made in the form of a circle at five measurement points, namely the central direction, 3 o'clock, 6 o'clock, 9 o'clock, and 12 o'clock. The research results, both direct testing and simulation using IndoQCT software, show that the CT number does not exceed the accuracy tolerance limit and uniformity, respectively, -4 ˂ HU ˂ +4 and -2 ˂ HU ˂ +2. Based on the analysis results, it can be concluded that the CT number measurements in the Radiology Unit at the Yogyakarta PDHI Islamic Hospital meet the requirements of BAPETEN Perka Number 2 of 2018.
Copyright (c) 2025 Ali Mas'uul https://creativecommons.org/licenses/by-sa/4.0
Comparison of Seismic Vulnerability Index Microzonation Using Usgs Vs30 Data and Microtremor Signal Measurements in Prambanan and Gantiwarno Sub-Districts, Klaten Regency
The May 27, 2006 tectonic earthquake that rocked the Bantul area of Yogyakarta and several areas in Central Java resulted in a lot of damage to buildings and casualties. Earthquake is a disaster that can be minimized by disaster mitigation, one of which is the seismic vulnerability index data of an area. This study aims to compare the microzonation of the seismic susceptibility index (Kg) as a result of measurement of microtremor signals by processing data Vs30 USGS. The data used were 30 microtremor signal measurement points and topographic models from the USGS website in Prambanan and Gantiwarno Districts, Klaten Regency. The calculation result of Vs30 USGS shows the value of seismic vulnerability index (Kg), which ranges from to . Meanwhile, the seismic vulnerability index value (Kg) results from the measurement of the microtremor signal, which ranges from to . Comparative graphs of data from measurements of microtremor signals with the results of processing Vs30 USGS produced R-values square small. This is due to several factors, namely the shift of measurement points with data points Vs30 USGS (longitude and latitude slightly shifted). In addition, the results of calculation of Vs30 USGS are based on the topography of the earth's surface which is limited to a depth of 30 meters so that it does not represent the results of measurement data directly.
Copyright (c) 2025 Fitri Fajarningrum, Nugroho Budi Wibowo https://creativecommons.org/licenses/by-sa/4.0
Analysis of the Effect of Frequency on Wavelength and Sound Size in Sound Generator Experiments
Waves are one of the abstract physics materials in the world of physics and will be a separate problem in studying them. The wave superposition experiment was carried out using software using Vlab. The aim of this research is to analyze the effect of frequency changes on wave length and sound. The method used is to prepare tools and materials, namely PCs/laptops with frequencies of 100 Hz, 500 Hz, 1000 Hz, 1500 Hz and 2000 Hz. This is done for different audio frequencies as well. Then the results of the merger were opened with Audacity and then analyzed and compared with the initial wave. So that a superposition is produced that the effect of frequency on wavelength is inversely proportional, the greater the frequency issued, the smaller the resulting wavelength, while the effect of frequency on sound waves is
Copyright (c) 2023 Rafirda Fitri Muawani Firda https://creativecommons.org/licenses/by-sa/4.0
Literature Review: The Role of Magnetic Nanoparticles in Several Fields of Life
There has been a lot of research on nanoparticles which have been developed for application in everyday life. One type of nanomaterial that has been discussed is magnetic nanoparticles. Some areas of life that apply magnetic nanoparticles for example are in the medical and biological fields, the field of sensors, the field of water and waste treatment, and others. The results of this literature review discuss the role of magnetic nanoparticles in everyday life.
Copyright (c) 2022 Lailatul Machfudhoh https://creativecommons.org/licenses/by-sa/4.0
A Artificial Intellegent algorithms for Tumor Disease Detection: systematic Literature Review
A Tumor is a swelling in the body caused by cells that multiply abnormally. Tumors or neoplasms consisting of benign tumors and malignant tumors. Benign tumors can grow larger but do not spread to other body tissues. Malignant tumors are cancers that attack the entire body and are uncontrollable. Comparison between the cell nucleus with the cytoplasm of malignant tumors, while benign tumors are the same as normal cells. Cancer cells can develop rapidly. These cells attack and damage body tissues through the bloodstream and lymph vessels so that they can grow in new places. One way to detect tumor disease is by utilizing Artificial intelligence algorithms for tumor Disease Detection. The purpose of this paper is for the development of Artificial Intellegent algorithms for the detection of tumor Diseases and optimization of Artificial Intellegent algorithms for the detection of tumor Diseases. This research uses systematic literature review by using preferred Reporting Items for Systematic Review (PRISMA). The results of screening and selection of articles obtained 64 potential articles that have met the inclusion criteria. The results showed that with earlier detection, a person can check tumor disease earlier using the help of Artificial intelligence algorithms. The results of research on the development of Artificial intelligence algorithms for detection of tumor Diseases have found Artificial intelligence algorithms that can be used to reduce the risk of tumor disease. Optimization of Artificial Intelegency algorithms for tumor classification, performing new data processing methods such as artificial intelligence can be selected to provide the accuracy of classification and diagnosis, exploration of detection limits is a very important aspect in tumor diagnosis based on SERS, finding improved and suitable nanoparticle substrates so as to significantly improve the original Raman signal.
Copyright (c) 2023 Muhammad Hafid Alkarim, Iswanto Suwarno https://creativecommons.org/licenses/by-sa/4.0
Analysis of Factors Affecting Period on GHS Using PhET Simulation
Physics is one of the sciences that is studied based on facts, natural phenomena, ideas and results of experiments/experiments. Physics is a science that is closely related to everyday life, one of which is found in Simple Harmonic Motion which discusses pendulums on clocks and strings on guitars. Simple vibrations (GHS) are an example of periodic motion when the amplitude of vibrations in the system is relatively small and the displacement is less than 15°. GHS is a regular alternating motion through the equilibrium point and the number of vibrations in one second is always constant. If the movement occurs repeatedly within a certain time interval, it is called periodic motion. One of the experiments that can be done with simple vibrations is to make a mathematical pendulum or a simple pendulum. The method used in this research to determine the factors that affect the period of pendulum vibrations is a literature review and experiments using PhET simulations. The results of this study are data generated from experiments and calculations which state that the factors that affect the period of pendulum vibrations in simple harmonic motion are the length of the rope and the acceleration due to gravity. While the mass has no effect on the period of the pendulum vibration. The effect of the length of the string is directly proportional to the period of the pendulum's vibration, and the effect of gravity is inversely proportional to the period of the pendulum's vibration.
Copyright (c) 2022 Yunita Ayudhia Anzani Anzani, Syahri Ramadhanti, Noval Mulya Dava https://creativecommons.org/licenses/by-sa/4.0
Estimating the weight of Ongole crossbreed cattle based on image data using CNN and linear regression methods
One of the contributors to the need for food, especially meat, is the Ongole breed of cattle or commonly known as PO cattle. In these livestock activities it is necessary to monitor the weight of the cattle with the aim of assessing the selling price of the cattle and knowing the health condition of the cattle. Currently breeders are still using traditional methods such as forecasts or scales in measuring the weight of cattle. Therefore, in this study using a camera sensor as an alternative instrument for measuring cattle weight. The stages of the research included image data acquisition, pre-processing, body segmentation of cattle, weight estimation and system evaluation. The process of acquiring image data is obtained with a DSLR camera device. Pre-processing is done using a kernel sharpening filter. Cattle body segmentation uses the Mask R-CNN method. The body image of the cow is then processed for weight estimation training using the CNN and Linear Regression methods. The system evaluation results at the segmentation stage succeeded in obtaining an Intersection over Union (IoU) metric value of 0.86. The weight estimation results managed to get a RMSE metric value of 1.10, MAE metric 0.24, MAPE metric 0.06%, and R2 metric 0.99.
Copyright (c) 2022 Syahrul Fadholi Gumelar, Eca Indah Anggraini, Eca Indah Anggraini https://creativecommons.org/licenses/by-sa/4.0
Acceleration and Gravitational Acceleration Experiments in the Phyphox Virtual Laboratory
This study aims to prove the relationship between 2 variables, namely the dependent variable (absolute acceleration) and the independent variable (height) in the acceleration experiment with the acceleration of gravity using the phypox virtual laboratory. The research method used is a combination method consisting of quantitative research methods and . The combination method can provide strong empirical data in proving 2 variables by using a virtual laboratory phypox as a medium in learning the concept of acceleration with gravitational acceleration. The results of this study show the potential for using a virtual laboratory phypox in proving 2 variables which results in a relationship between the value of altitude and absolute acceleration that is directly proportional
Copyright (c) 2023 Lutfi Saoqibillah https://creativecommons.org/licenses/by-sa/4.0
Sensors and Transducers for Stroke Detection Systematic Literature Review
Along with changes in lifestyle, stroke is not only a disease that attacks the elderly population, but also often attacks people of productive age. Actions are proposed to the public to control risk factors, such as changing lifestyle behavior or taking medication, and variations in stroke risk are tracked by evaluating stroke risk annually. The symptom of stroke that is currently widely known by the public is paralysis, even though many stroke symptoms often appear without realizing it. So it is necessary to detect stroke using sensors and transducers to detect it. The aim of this research is to examine sensors and transducers for stroke detection. This research uses a systematic literature review using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of article screening and selection found 84 potential articles that met the inclusion criteria. The research results show that the development of sensors and transducers for stroke detection is currently starting to develop through artificial intelligence based on the internet of thought which uses sensors and transducers within it. Judging from the production of tools that use sensors and transducers for stroke detection. Optimization of sensors and transducers for stroke detection must be carried out with appropriate use, detailed regulatory supervision, and continuous innovation of sensors and transducers for stroke detection which is useful in reducing the number of strokes in the world
Copyright (c) 2023 Iswanto Iswanto https://creativecommons.org/licenses/by-sa/4.0
Audio-Visual-Based Optical Applications as a Media to Improve Students' Understanding of Concepts: A Feasibility Test
One of the learning media by utilizing device technology is realized in the form of an audio-visual physics-based physics mobile learning application called Optically. In the mobile learning application, there are various kinds of content, such as illustrated images, educational videos, sample questions, and practice questions. The research conducted has the aim of (1) producing products in the form of audio-visual physics mobile learning applications on the subject of Diffraction as a learning medium; (2) knowing the feasibility of audio-visual physics-based physics mobile learning applications as a supporting medium for students in understanding the concept of physical optics material. The research and development method uses the ADDIE model which consists of 5 stages, namely Analysis, Design, Development, Implementation, and Evaluation. However, this study is limited only to the development stage (Design). The product feasibility tester in this study was carried out by 17 people who had studied Physical Optics Physics and were studying in the field of Physics. The results of the analysis of the feasibility test of the product carried out, obtained on average on all indicators belonging to the very feasible category.
Copyright (c) 2023 Rohaya Evatri Faila, Nanda Annisa Solikhah, Bayu Setiaji https://creativecommons.org/licenses/by-sa/4.0
Determination of the Quality of Cooking Oil in View from the Bias Index Parameters
This study aims to test the quality of cooking oil using the parameter of refractive index by utilizing a simple refractometer constructed from mica plastic sheets. The principle of testing cooking oil is based on Snell's law. The cooking oil samples used were four brands of cooking oil with new conditions which were labeled A, B, C, and D. of poor quality, cooking oil B with a refractive index of 1.547 refers to source 1 having good quality and when referring to source 2 it has poor quality, and cooking oil C with a refractive index of 1.494 refers to both sources having good quality. Therefore, it can be concluded that cooking oil C has the best quality than the other three cooking oil samples.
Copyright (c) 2023 Salsabila Husna https://creativecommons.org/licenses/by-sa/4.0
Remote Multisensor System for Environmental Quality Monitoring Applications (Water and Air) in Internet of Things-Based Aquaculture Environments
Water quality monitoring in the aquaculture environment is often carried out by cultivators of aquatic organisms in order to monitor the health and suitability of the water. The usual way is done by laboratory tests that take a long time. In the last decade, researchers have developed water quality monitoring systems in aquaculture environments by utilizing sensors and other electronic devices to quickly determine water quality. A water quality monitoring system has been developed in aquaculture environment using PT-100 sensor, DHT-22 sensor, TDS sensor and turbidity sensor. Each sensor is connected to the ATmega328p microcontroller to be able to transmit water quality readings. The atmega328p microcontroller is connected to the Raspberry pi gateway to be able to transmit reading data to the internet network using the MQTT protocol. The MQTT protocol allows telemetry systems to transmit data quickly and in real time. The reading data can be displayed on a website page that can be accessed using the internet network in real time and can be accessed within a distance of more than 1,000 km from the monitoring site.
Copyright (c) 2023 Muhammad Iqbal https://creativecommons.org/licenses/by-sa/4.0
Sensors and Transducers for Lava Flood Detection: Systematic Literature Review
Disasters always come suddenly, becoming a natural phenomenon that humans face. One of the natural disasters is a lava flood, which is a collection of lava released by a volcano and reaches the lower surface with the help or encouragement of rainwater. The impact of lava floods has a high risk because the material it carries can cause damage and has the potential to cause death, injury, illness, life at risk, loss of security, displacement, damage or loss of property, and disruption of community activities, so an early warning system is needed. can provide accurate data about the time of the disaster. To overcome digital sophistication, tools have been created in the form of sensors and transducers for lava flood detection. The aim of this research is to examine sensors and transducers for lahar flood detection. This research uses a systematic literature review using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of article screening and selection found 77 potential articles that met the inclusion criteria. The results of the research show that the development of sensors and transducers has begun to create a lot of lahar flood detection tools through artificial intelligence based on the internet of thought which uses sensors and transducers inside and optimization of sensors and transducers for lahar flood detection must be done by setting the point of detection tools for use in various flood-prone locations. lava, so that detection of lava floods can be known before a disaster occurs.
Copyright (c) 2022 Iswanto Iswanto https://creativecommons.org/licenses/by-sa/4.0
Teh Tarik is a tea known as one of the typical Indian drinks. The purpose of this study, to determine the GLB and GLBB resulting from the manufacture of tensile tea, to determine the magnitude of the kinematic and gravitational forces when tea is poured from one glass to another with a fairly high distance. And also to motivate the MSME industry to produce better quality. With the result for GLB: 0.1541; 0.1111022224; 0.1087844444; 0.3073113139; 0.1111022224. And the results obtained for GLBB in a row for tables one to five 4.9142; 5.7649; 5.3892; 6.6331; 3.9648.
Copyright (c) 2022 Mita Widiyastuti https://creativecommons.org/licenses/by-sa/4.0
The Effect of the Amount of Charge on the Force and the Direction of the Force on Coulomb's Law Using Phet Simulation
This experiment aims to determine the effect of the magnitude of the charge on the direction of the force generated. Data collection was carried out using the PhET Simulation Coulomb's Law. The method used in conducting research is a combination research method. The results of the research found that the amount of charge given will affect the direction of the force generated. This is important so that there are no misunderstandings in understanding the concept of the material.
Copyright (c) 2022 Misykah Auliya https://creativecommons.org/licenses/by-sa/4.0
Surface Plasmon Resonance (Spr) Sensor Simulation with Kretschmann Configuration Based on Chitosan-Graphene Oxide Nanocomposite for Lead Metal Ion Detection
The presence of metal ions in river water can have a negative impact on humans when consumed. The detection of metal ions is crucial, and one of the methods is the surface plasmon resonance (SPR) phenomenon using SPR sensor system. SPR biosensor system can be used for metal ion deteection, offering advantages such of affordability and rapid detection. This research aims to investigate the influence of adding chitosan-graphene oxide (CS-GO) nanocomposites to SPR sensors as lead ion detectors. The CS-GO nanocomposites is used as a detector with variations in volume fraction and thickness to find the optimum values. The varied volume fractions are 18 nm, 20 nm and 25 nm. The involvement of the CS_GO nanocomposites is demonstrated through the reflectance curve, showing the SPR angle and reflectance values. The Winspall simulator is used to display the reflectance curve. The SPR system utulized a He-Ne laser with a wavelength of 632,8 nm, a BK7 half cylinder prism, and a thin film of silver metal layer. The SPR sensor configuration used is the Kretschmann configuration. The layer system models include BK7 prism/Ag thin film/chitosan/lead ion, and BK7/Ag thin film/CS-GO/lead ion. The nanocomposite CS-GO’s pernittivity is calculated using the Maxwell Garnett effective medium theory. Result show that the refractive index and permittivity values of the CS-GO nanocomposite increase with the increasing volume fraction. The nanocomposite with a volume fraction of 0,099 produce a permittivity of 2,4337 and a refractive index of 1,5600.Larger permittivity values and thicknesses of the nanocomposite also lead to a shift in the SPR angle in the reflectance curve. The most significant SPR angle shift is observed with the use of CS-GO nanocomposite with a volume fraction of 0,099 and a thickness of 25 nm
Copyright (c) 2022 Desy Novitasari, Widayanti https://creativecommons.org/licenses/by-sa/4.0
RANCANG BANGUN SISTEM DETEKSI KESUBURAN TANAH BERBASIS LED, KAMERA DAN DEEP LEARNING
This research is motivated by the lack of an effective and efficient soil fertility detection system. This study aimed to design and manufacture a soil fertility detection system based on LED, camera, and deep learning. This research was conducted in two stages, namely designing and manufacturing the soil fertility detection system. Design of the tool was carried out using Paint 3D software. Manufacturing of this detection system through 3 processes, namely manufacturing hardware, taking datasets, and making software
Copyright (c) 2022 M Faruq Najib, Frida Agung Rakhmadi https://creativecommons.org/licenses/by-sa/4.0